Kinettix Team Skills & Growth Catalog

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Kinettix is focused on upskilling and evolving into the future. We've partnered with MAX Technical Training to create a course catalog that makes it easy to plan team education, build new skills, and better serve our customers, with a strong focus on AI. Browse by category below. Learn more about a course, or send a request for approval. Download the catalog (PDF) 38 courses 28 AI courses 10 Project Management courses 100% live, instructor-led Created October 29, 2026 Prices are per person as of October 29, 2026. View the live product page at maxtrain.com to see current pricing and course dates. All AI Fundamentals · 3 AI Productivity · 10 AI Power Users · 10 AI Leadership · 5 Project Management · 10 Request Approval Send to (email) Note (optional) Cancel Send Request Opens your email client with the request pre-filled. (function () { var root = document.querySelector('.max-ai-page'); if (!root || root.dataset.maxAiInit) return; root.dataset.maxAiInit = '1'; const LEVELS = { fund: { key:'fund', label:'AI Fundamentals', badge:'fund', tagline:"No AI experience needed. Get comfortable with the tools first." }, prod: { key:'prod', label:'AI Productivity', badge:'prod', tagline:"Already using AI a little? Go deeper on the tools you touch every day." }, adv: { key:'adv', label:'AI Advanced', title:'AI Power Users', badge:'adv', tagline:"For developers, architects, and IT pros building and running AI systems." }, lead: { key:'lead', label:'AI Leadership', badge:'lead', tagline:"For directors, executives, and governance teams steering AI adoption." }, pm: { key:'pm', label:'Project Management', badge:'pm', tagline:"For anyone running projects, titled PM or not, from team leads to certification-track professionals." }, }; const COURSES = [ { "level": "fund", "id": "OP-Copilot", "name": "Introduction to Microsoft Copilot", "role": "Office 365 Users", "days": "Half day", "blurb": "Get comfortable with Copilot inside the Microsoft 365 apps you already use.", "url": "https://maxtrain.com/artificial-intelligence/copilot/introduction-to-microsoft-copilot/", "about": "A course for Office 365 users who want to boost productivity and streamline their workflows with Microsoft Copilot's AI capabilities.", "audience": "Office 365 users looking to enhance their productivity and streamline their workflows using Microsoft Copilot's advanced AI capabilities.", "price": "$225", "code": "OP-Copilot", "prereq": "Basic familiarity with Microsoft Office applications and general computer proficiency.", "tags": [ "Word", "Excel", "Outlook", "Teams" ], "learn": [ "Understand how Copilot works with Teams, Word, Excel, PowerPoint, and Outlook", "Explore Copilot's AI features for writing, formatting, and data analysis", "Apply Copilot's tools to improve everyday workflow efficiency", "Use Copilot across Office applications to automate and streamline tasks", "Practice with hands-on exercises and interactive learning modules" ], "modules": [ [ "What is Microsoft Copilot?", "Overview of Copilot's AI-powered assistance and productivity features; Introduction to Copilot's integration with Microsoft Office applications" ], [ "Key Features", "Exploring key features for enhancing productivity in Office 365; How Copilot assists with writing, formatting, data analysis, and automation" ], [ "Benefits of Using Copilot", "Benefits for Office 365 users; How Copilot streamlines workflows and improves productivity" ], [ "Integration with Office Applications", "Copilot in Teams, Word, Excel, PowerPoint, and Outlook" ], [ "Best Practices and Tips", "Productivity tips and strategies for efficient use; Troubleshooting common issues and finding support resources" ] ] }, { "level": "fund", "id": "KR-IntroAI", "name": "AI for Work: Practical Tools to Save Time and Work Smarter", "role": "Business Users", "days": "3 hours", "blurb": "A hands-on look at the everyday AI tools that save real time at work.", "url": "https://maxtrain.com/artificial-intelligence-a-i-machine-learning/general-artificial-intelligence-and-business-applications/ai-for-work-practical-tools-to-save-time-and-work-smarter/", "about": "A hands-on virtual workshop that shows professionals how to use everyday AI tools such as ChatGPT, Claude, and Microsoft Copilot to improve communication, generate ideas, create content, and reduce repetitive work.", "audience": "Professionals ready to move past casual AI experimentation and apply it in practical, meaningful ways at work.", "price": "$250", "code": "KR-IntroAI", "prereq": null, "tags": [], "learn": [ "Define what AI is and how businesses use it today", "Identify routine tasks where AI can save time and boost productivity", "Explore common AI tools and know when to use each one", "Write prompts that produce useful, high-quality results", "Apply AI to writing, workflows, brainstorming, and organizing information", "Recognize pitfalls such as misinformation, bias, and privacy concerns" ], "modules": [ [ "Hands-on workshop", "Live demos, real business examples, and practice writing prompts" ], [ "Responsible use", "Accuracy, bias, privacy, and responsible use of AI at work" ] ] }, { "level": "fund", "id": "MA-2042", "name": "Generative AI Essentials with ChatGPT, Copilot, Gemini and Claude", "role": "Business Users", "days": "2 days", "blurb": "A broad, practical overview of the AI tools reshaping how business gets done.", "url": "https://maxtrain.com/artificial-intelligence-a-i-machine-learning/general-artificial-intelligence-and-business-applications/ai-in-business-tools-techniques/", "about": "A capability-first program that prepares professionals to use generative AI as a daily working tool, built around the five assistants now embedded in modern workplaces: ChatGPT, Gemini, Claude, Microsoft Copilot, and Grok.", "audience": "Non-technical business professionals with zero to light AI exposure who need to use AI in their daily work, including business managers and team leads, project coordinators, marketing, sales, and customer service professionals, operations, HR, and finance staff, and executive assistants.", "price": "$1,895", "code": "MA-2042", "prereq": "Comfort with a web browser and a work email account. No coding or technical background required. Learners need access to at least one AI assistant (ChatGPT, Google Gemini, or Microsoft 365 Copilot) and a laptop with a supported browser.", "tags": [ "ChatGPT", "Copilot", "Gemini", "Claude" ], "learn": [ "Explain in plain language what a large language model is and what it can and cannot do", "Select the right assistant for a business task based on capability, data sensitivity, and licensing", "Write prompts that produce usable first drafts of emails, summaries, outlines, and more", "Use voice, image, document upload, and screen sharing for real work", "Build a basic custom assistant for a repeating task", "Recognize the top AI risks and apply an acceptable-use policy" ], "modules": [ [ "What AI Actually Is in 2026", "Define generative AI in plain language; Identify the three model types: fast chat, reasoning, and agentic" ], [ "The Five Assistants: Who's Who and When to Use Which", "Compare the five major assistants; Apply a decision framework for choosing the right one" ], [ "Prompting in 2026", "Apply the Role, Task, Context, Format pattern; Iteratively refine a prompt" ], [ "Multimodal: Voice, Images, Documents, Video, Screens", "Use voice mode for thinking and drafting; Upload images and documents to extract information" ], [ "Productivity Inside the Tools You Already Own", "Use Copilot or Gemini inside Outlook, Word, Excel, and Teams" ], [ "Custom Assistants: Your First Reusable AI", "Build a working custom assistant for a repeating task" ], [ "AI Agents: The 2026 Shift", "Distinguish chat, copilot, and agent modes; Configure and supervise a low-risk agent task" ], [ "Data Analysis and Decision Support", "Analyze a spreadsheet with natural-language prompts; Know when an AI-generated number needs verification" ], [ "Safety, Privacy, and What Not to Paste", "Consumer versus enterprise tiers; The top five risks business users face" ], [ "Ethics, Policy, and Your Organization's Rules", "Disclosure norms for AI-generated work; Draft a one-page acceptable-use policy" ], [ "Your 30-Day Plan", "Commit to a 30-day implementation plan; Define personal success metrics" ] ] }, { "level": "prod", "id": "KA-AI4PMBA", "name": "AI For Project Managers, Product Owners and Business Analysts", "role": "PMs, BAs & Product Owners", "days": "1 day", "blurb": "Apply generative AI directly to planning, requirements, and delivery work.", "url": "https://maxtrain.com/project-management/business-analysis-techniques-tools/ai-for-project-managers-product-owners-and-business-analysts/", "about": "A hands-on, one-day session showing how AI can help build artifacts such as charters, risk registers, work breakdown structures, requirements, communications, and plans. It is tool-agnostic and works with any chat interface.", "audience": "Business analysts, project managers, product owners, and business professionals.", "price": "$695", "code": "KA-AI4PMBA", "prereq": "Experienced business analysts, project managers, or product owners. Completing a foundations course in business analysis, project management, or Scrum/Agile product ownership meets this requirement.", "tags": [], "learn": [], "modules": [ [ "What Is AI and Generative AI?", "Core concepts of AI, generative AI, and large language models; Strengths and limitations of AI; Lab: context setting and baseline comparison" ], [ "Responsible AI", "Six guiding principles for responsible AI; Human oversight, hallucinations, and bias; Lab: evaluate AI output responsibly" ], [ "Prompt Engineering Fundamentals for PMs, POs, and BAs", "Anatomy of an effective prompt; Five principles of prompting" ], [ "AI for Requirements, User Stories and Documentation", "Draft user stories, acceptance criteria, and use cases; Turn stakeholder conversations into structured documentation" ], [ "AI for Project Planning, Scheduling and Risk Management", "AI-assisted planning and work breakdown structures; Lab: build a project charter and generate a risk register" ], [ "AI for Communication, Facilitation and Stakeholder Engagement", "AI-generated agendas, minutes, and follow-up actions; Tailored communication for executives, customers, and teams" ] ] }, { "level": "prod", "id": "OP-CopExc365", "name": "Microsoft Copilot in Excel: AI Data Analysis, Formula, and Dashboard", "role": "Excel Users", "days": "Half day", "blurb": "Use Copilot in Excel to analyze data, build formulas, and create dashboards faster.", "url": "https://maxtrain.com/artificial-intelligence/copilot/copilot-in-excel-365/", "about": "Copilot in Excel is an AI tool built into Microsoft 365 that uses large language models to turn inputs into insights and smoother workflows. This course focuses on data analysis, formulas, and dashboards.", "audience": "Professionals skilled in Microsoft 365 who want more productivity, data analysts and financial professionals, business executives and managers, educators and trainers, IT professionals, freelancers and entrepreneurs, and anyone interested in AI inside productivity software.", "price": "$250", "code": "OP-CopExc365", "prereq": "Participants should be comfortable using Microsoft 365 applications.", "tags": [ "Excel" ], "learn": [], "modules": [ [ "Get Ready to Use Copilot", "" ], [ "Writing effective prompts", "" ], [ "Build and Troubleshoot Formulas", "" ], [ "Analyze the Data", "" ], [ "Create Visuals and a Dashboard", "" ], [ "Capstone Challenge", "" ] ] }, { "level": "prod", "id": "OP-CopWrd365", "name": "Microsoft Copilot in Word: AI Writing, Editing, and Document Creation", "role": "Word Users", "days": "3 hours", "blurb": "Draft, edit, and polish documents faster with Copilot in Word.", "url": "https://maxtrain.com/artificial-intelligence/copilot/copilot-in-word-365/", "about": "A hands-on course that brings AI into everyday Word work: generating content, transforming text, and visualizing data, while using AI responsibly with data security and privacy in mind.", "audience": "Individuals who are familiar with Microsoft 365 applications and want to boost productivity and creativity with AI, and professionals across industries who want to streamline document creation and data management.", "price": "$250", "code": "OP-CopWrd365", "prereq": "Students should be comfortable using Microsoft 365 applications.", "tags": [ "Word" ], "learn": [], "modules": [ [ "Copilot fundamentals", "" ], [ "Writing effective prompts", "" ], [ "Creating new documents", "" ], [ "Revising and transforming content", "" ], [ "Summarizing and analyzing documents", "" ], [ "Practical business workflows", "" ], [ "Accuracy, privacy, and responsible use", "" ] ] }, { "level": "prod", "id": "AB-730", "name": "Transform Business Workflows with Generative AI", "role": "Business Users", "days": "1 day", "blurb": "Turn repetitive business workflows over to generative AI.", "url": "https://maxtrain.com/artificial-intelligence-a-i-machine-learning/ai-prompt-engineering/transform-business-workflows-with-generative-ai-ab-730t00/", "about": "Learn to apply generative AI to daily tasks, decision-making, and business outcomes using Microsoft 365 Copilot. The course focuses on real-world use cases and requires no coding.", "audience": "Business professionals, business managers, operations associates, HR managers, and sales professionals.", "price": "$695", "code": "AB-730T00", "prereq": "Basic functional experience with Microsoft 365 services.", "tags": [], "learn": [ "Understand how generative AI enhances productivity and decision-making", "Explore real-world Microsoft 365 Copilot use cases for daily tasks", "Automate document creation, communication, and data analysis without coding", "Use AI-driven insights to improve collaboration and outcomes" ], "modules": [ [ "What is generative AI?", "Generative AI and its capabilities; Principles of responsible AI; How Microsoft 365 Copilot uses generative AI" ], [ "Employ Copilot Chat as your AI assistant", "Scheduled prompts that automate daily business activities; Create and configure an agent" ], [ "Draft and refine business content", "Content creation in Word, Outlook, and PowerPoint; Use the Researcher agent for deeper insights" ], [ "Analyze and visualize data", "Data analysis and visualization in Excel; Use the Analyst agent to enhance data presentations" ], [ "Manage meetings and collaboration", "Summarize email threads and meetings; Draft follow-up emails; use Copilot Pages and Notebooks" ], [ "Define Copilot's role in your workflow", "Evaluate scenarios to decide how Copilot can best assist; Work through three distinct business scenarios" ] ] }, { "level": "prod", "id": "MA-2040", "name": "AI Copilot for Business Users", "role": "Business Users", "days": "4 days", "blurb": "A deep, four-day path to mastering Copilot across your daily M365 workflow.", "url": "https://maxtrain.com/artificial-intelligence-a-i-machine-learning/general-artificial-intelligence-and-business-applications/ai-copilot-for-business-users/", "about": "An end-to-end course on Microsoft Copilot across Microsoft 365 and Copilot Studio: use Copilot to boost everyday productivity, build and manage no-code agents, and design custom copilots. It balances foundations, hands-on labs, and strategic use cases.", "audience": "Business professionals using Microsoft 365; operations, IT, HR, finance, sales, and marketing leaders; power users and citizen developers; solution designers; and executives who want to understand Copilot use cases and value.", "price": "$2,795", "code": "MA-2040", "prereq": "A licensed version of Microsoft 365 Copilot Studio, basic functional experience with Microsoft 365 services, a foundational understanding of business processes, comfort using technology to solve business problems, and a growth mindset.", "tags": [ "Word", "Excel", "PowerPoint", "Outlook", "Teams" ], "learn": [], "modules": [ [ "Foundations of Microsoft Copilot", "Purpose and functionality of Microsoft 365 Copilot; Responsible AI principles" ], [ "Copilot in Word", "Drafting documents with Copilot; Refining content using prompts" ], [ "Copilot in PowerPoint", "Creating presentations with Copilot; End-to-end presentation development" ], [ "Copilot in Excel", "Analyzing and visualizing data; Enhancing reporting and decision making" ], [ "Copilot in Outlook", "Improving email workflows and communication; Streamlining coordination and follow-up" ], [ "Copilot in Teams", "Enhancing meetings and collaboration; Managing tasks and accessing contextual information" ], [ "AI-Powered Copilot Chat", "Using Copilot Chat in Microsoft Teams; Productivity and creativity scenarios" ], [ "No-Code Agents with Microsoft Copilot", "Components and benefits of no-code agents; Governance and IT controls" ], [ "Building and Managing No-Code Agents", "Creating agents in Copilot Chat and SharePoint; Testing, editing, sharing, and managing agents" ], [ "Building Custom Copilots with Copilot Studio", "" ] ] }, { "level": "prod", "id": "MS-4004", "name": "Empower Your Workforce with Copilot for Microsoft 365 Use Cases", "role": "Microsoft 365 Power Users", "days": "1 day", "blurb": "Real-world Copilot use cases your team can put to work immediately.", "url": "https://maxtrain.com/artificial-intelligence/copilot/empower-your-workforce-with-copilot-for-microsoft-365-use-cases-ms-4004/", "about": "A one-day course in two parts: an introduction to Copilot for Microsoft 365, its use across Microsoft 365 apps, and prompting best practices, followed by hands-on exercises across seven business use cases.", "audience": "Business users who want to build their Copilot for Microsoft 365 skills for business use case scenarios.", "price": "$695", "code": "MS-4004", "prereq": "A licensed Microsoft 365 Copilot version is required for the training and exercises. No training prerequisites are needed to attend.", "tags": [ "Word", "Excel", "Teams" ], "learn": [], "modules": [ [ "Introduction to Copilot for Microsoft 365", "" ], [ "Explore the possibilities with Copilot for Microsoft 365", "" ], [ "Optimize and extend Copilot for Microsoft 365", "" ], [ "Executive Use Case", "" ], [ "Sales Use Case", "" ], [ "IT Use Case", "" ], [ "Marketing Use Case", "" ], [ "Finance Use Case", "" ], [ "HR Use Case", "" ], [ "Operations Use Case", "" ] ] }, { "level": "prod", "id": "MS-4018", "name": "Draft, Analyze, and Present with Microsoft 365 Copilot", "role": "Business Users", "days": "1 day", "blurb": "Use Copilot to draft documents, analyze data, and build presentations.", "url": "https://maxtrain.com/artificial-intelligence/copilot/draft-analyze-and-present-with-microsoft-365-copilot-ms-4018/", "about": "Teaches how to use Microsoft 365 Copilot to draft, analyze, and present with AI, covering presentations, document drafting, data analysis, meetings, and email.", "audience": "Microsoft 365 administrators, business managers, and technical architects.", "price": "$695", "code": "MS-4018", "prereq": "A licensed Microsoft 365 Copilot is required. Basic functional experience with Microsoft 365 services is expected.", "tags": [ "Word", "Excel", "PowerPoint" ], "learn": [], "modules": [ [ "Introduction to Microsoft 365 Copilot", "Purpose and functionalities of Copilot; Core components of Copilot" ], [ "Build effective presentations with AI", "Create and refine presentations in PowerPoint; Lab: build a presentation from start to finish" ], [ "Draft impactful documents using AI", "Draft content with Copilot in Word; Elevate documents using prompts" ], [ "Make your meetings more productive with AI", "Use Copilot in Teams for collaboration and tasks; Lab: manage collaboration from start to finish" ], [ "Uncover new data insights with AI", "Analyze and visualize data with Copilot in Excel; Lab: boost your productivity with data-driven decisions" ], [ "Improve your email workflows with AI", "Streamline communication and coordination in Outlook" ], [ "Unlock productivity with AI powered chat", "Work-grounded versus web-grounded Copilot Chat; Lab: ace your interview using Copilot Chat" ] ] }, { "level": "prod", "id": "MS-4019", "name": "Transform Your Everyday Business Processes with Copilot Agents", "role": "Business Process Owners", "days": "1 day", "blurb": "Put Copilot agents to work automating the processes you run every day.", "url": "https://maxtrain.com/artificial-intelligence/copilot/transform-your-everyday-business-processes-with-no-code-agents-ms-4019/", "about": "Use no-code agents to automate business processes. Learn to create, manage, and share agents in Copilot Chat and SharePoint, with governance and security in mind.", "audience": "Microsoft 365 administrators, business managers, and SharePoint developers.", "price": "$695", "code": "MS-4019", "prereq": "Basic functional experience with Microsoft 365 services and a proficient understanding of general IT practices.", "tags": [ "Copilot Agents" ], "learn": [], "modules": [ [ "Get started with no-code agents", "Components of no-code agents; Who can create and use them; Benefits of using them" ], [ "Build and manage a no-code agent", "Create no-code agents in Copilot Chat and SharePoint; Test, edit, and manage agents" ], [ "Use no-code agents in SharePoint", "Share agents with other users and in Teams; Engage with agents on SharePoint sites, pages, and libraries" ] ] }, { "level": "prod", "id": "MS-4021", "name": "Copilot Immersion Experience", "role": "Business Users", "days": "2 hours", "blurb": "A guided, hands-on immersion into everyday Copilot workflows.", "url": "https://maxtrain.com/copilot/copilot/copilot-immersion-experience-ms-4021/", "about": "Shows how Microsoft 365 Copilot can boost productivity across business functions such as finance, HR, sales, operations, marketing, and IT, with contextual prompts and hands-on use-case exercises.", "audience": "Business professionals who want to improve daily workflows and productivity with AI, streamline tasks, improve decision-making, and drive impact on their teams and roles.", "price": "$295", "code": "MS-4021", "prereq": null, "tags": [ "M365 Apps" ], "learn": [], "modules": [ [ "Introduction to Microsoft 365 Copilot", "What is Microsoft 365 Copilot?; How Copilot works and its core components" ], [ "Craft effective prompts in Microsoft 365 Copilot", "The art of the prompt; Explore the Copilot Prompt Gallery" ] ] }, { "level": "prod", "id": "MS-4022", "name": "Extend Microsoft 365 Copilot in Copilot Studio", "role": "Makers & Copilot Studio Users", "days": "Half day", "blurb": "Start customizing Copilot for your team's specific workflows.", "url": "https://maxtrain.com/copilot/copilot/extend-microsoft-365-copilot-in-copilot-studio-ms-4022/", "about": "Teaches how to create Copilot Studio actions that extend Microsoft 365 Copilot with external data, tailored conversations, automated flows, and custom prompts.", "audience": "Developers and software engineers, IT professionals and solution architects, Power Platform enthusiasts, and business analysts and process designers.", "price": "$395", "code": "MS-4022", "prereq": "Familiarity with Microsoft Copilot for Microsoft 365.", "tags": [ "Copilot Studio" ], "learn": [], "modules": [ [ "Microsoft Copilot extensibility fundamentals", "" ], [ "Introduction to Copilot Studio actions", "" ], [ "Create prompt actions", "" ], [ "Create connector actions", "" ], [ "Create conversational actions", "" ] ] }, { "level": "adv", "id": "AB-100", "name": "Architecting Agentic AI Business Solutions", "role": "Solution & Enterprise Architects", "days": "3 days", "blurb": "Design agentic AI solutions that hold up at enterprise scale.", "url": "https://maxtrain.com/artificial-intelligence/architecting-agentic-ai-business-solutions-ab-100t00/", "about": "An advanced course for architects and technical leaders on planning, designing, and governing AI-powered enterprise solutions on Microsoft platforms, with emphasis on architecture, trade-offs, governance, cost-benefit analysis, and lifecycle management.", "audience": "Architects and enterprise architects designing agent-based business solutions, senior functional and technical consultants, AI and digital transformation leads, and application architects and technical leads integrating agents and copilots.", "price": "$1,895", "code": "AB-100T00", "prereq": null, "tags": [], "learn": [], "modules": [ [ "Introduction to agentic AI business solutions", "Drive AI transformation with architect strategies; Explore Microsoft AI technologies for business" ], [ "Analyze requirements for AI-powered business solutions", "Assess agents for task automation, analytics, and decision-making; Review data for grounding accuracy and relevance" ], [ "Evaluate costs and benefits of AI solutions", "Evaluate ROI criteria; Create an ROI analysis for a proposed AI solution" ], [ "Manage testing AI-powered business solutions", "Process metrics for testing AI agents; Validation criteria for custom AI models" ], [ "Design extensibility of AI solutions", "Custom models in Microsoft Foundry; Design agents in Microsoft 365 Copilot" ], [ "Design responsible AI security, governance, risk management, and compliance", "Design security agents for Microsoft clouds; Design governance models for AI agents" ] ] }, { "level": "adv", "id": "AB-410T00", "name": "Build Intelligent Applications", "role": "Power Platform Builders", "days": "3 days", "blurb": "Build applications with AI models and services baked in from the start.", "url": "https://maxtrain.com/artificial-intelligence-a-i-machine-learning/ai-cloud-and-platform-specific/build-intelligent-applications-ab-410t00/", "about": "Teaches how to design and build intelligent applications on the Microsoft Power Platform using AI, copilots, and agents. Covers how Power Apps, Power Automate, Power Pages, Copilot Studio, and AI-enabled capabilities work together.", "audience": "Individuals who want to build intelligent applications on the Microsoft Power Platform and are new to using AI, copilots, and agents in solution design, with a general understanding of business processes or app building.", "price": "$1,995", "code": "AB-410T00", "prereq": null, "tags": [], "learn": [], "modules": [ [ "Detailed outline coming soon", "The full course outline is being finalized by MAX. See the course page for the latest" ] ] }, { "level": "adv", "id": "AB-650T00", "name": "Administering Microsoft 365 and AI Services", "role": "Microsoft 365 Administrators", "days": "3 days", "blurb": "Configure, manage, secure, and govern Microsoft 365 and its AI services, including Copilot.", "url": "https://maxtrain.com/business-applications/microsoft-365/administering-microsoft-365-and-ai-services-ab-650t00/", "about": "Teaches how to configure, manage, secure, and govern Microsoft 365 tenants, traditional workloads, and AI services such as Microsoft 365 Copilot and AI agents, while collaborating with other IT specialist teams.", "audience": "Administrators who configure, manage, secure, and govern Microsoft 365 tenants, workloads, and AI services, including Microsoft 365 Copilot and agents, enabling secure, compliant productivity at enterprise scale.", "price": "$1,995", "code": "AB-650T00", "prereq": "Hands-on experience with core Microsoft 365 workloads, knowledge of Microsoft Entra ID identity governance and access controls, an understanding of Microsoft Defender XDR, and familiarity with Microsoft Graph PowerShell.", "tags": [], "learn": [], "modules": [ [ "Configure and manage Microsoft 365 tenants and workloads", "Provision and brand a Microsoft 365 tenant; License Microsoft 365 and AI services at scale; Keep a tenant resilient and healthy" ], [ "Govern and secure Microsoft 365 tenants and workloads", "Provision and govern identities in Microsoft Entra; Implement authentication and access; Secure email and collaboration with Microsoft Defender for Office 365" ], [ "Manage and secure Microsoft 365 AI services", "Assess readiness and roll out Microsoft 365 Copilot; Take action in external systems using connector and REST API agent tools; Ground agents with enterprise knowledge" ] ] }, { "level": "adv", "id": "AB-620", "name": "Design and Build Integrated AI Agent Solutions in Copilot Studio", "role": "Advanced Builders & Developers", "days": "3 days", "blurb": "Build production-ready agents that connect across your systems.", "url": "https://maxtrain.com/copilot/copilot/design-and-build-integrated-ai-agent-solutions-in-copilot-studio-ab-620t00/", "about": "Teaches how to design, build, and manage production-ready AI agents in Microsoft Copilot Studio that integrate across systems, automate business processes, connect to enterprise data, and follow best practices for governance, security, and responsible AI.", "audience": "Advanced builders and professional developers who want to design, extend, and integrate Copilot Studio agents with enterprise data and services, with hands-on Copilot Studio experience, intermediate generative AI knowledge, and REST API proficiency.", "price": "$1,895", "code": "AB-620T00", "prereq": "Ability to create, configure, test, and publish agents in Copilot Studio, permissions to create solutions and agents in a Power Platform environment, familiarity with topics, knowledge sources, and tools, and conceptual familiarity with REST APIs.", "tags": [ "Copilot Studio", "Power Platform" ], "learn": [], "modules": [ [ "Deliver rich agent responses using Adaptive Cards", "" ], [ "Take action from conversations using topics and tools", "" ], [ "Generate AI-powered responses using generative answers", "" ], [ "Design multi-agent solutions", "" ], [ "Delegate agent tasks using child agents", "" ], [ "Build multi-agent solutions using connected agents", "" ], [ "Build cross-platform solutions using the Agent2Agent protocol", "" ], [ "Design integration strategies for agents", "" ], [ "Take action in external systems using connector and REST API tools", "" ], [ "Ground agents with enterprise knowledge using connectors and Azure AI Search", "" ], [ "Integrate agents with external systems via MCP", "" ] ] }, { "level": "adv", "id": "AB-900", "name": "Introduction to Microsoft 365 and AI Administration", "role": "IT Pros & New Admins", "days": "1 day", "blurb": "The admin fundamentals behind managing Microsoft 365 and Copilot.", "url": "https://maxtrain.com/business-applications/microsoft-365/introduction-to-microsoft-365-and-ai-administration-ab-900t00/", "about": "A broad introduction to Microsoft 365, Copilot, and AI-powered agents, covering core concepts, services, and admin controls, and how AI can automate tasks and personalize user experiences.", "audience": "Beginning-level technical IT pros and novice administrators who need foundational knowledge of Microsoft 365 and Copilot. No prior hands-on experience is required.", "price": "$695", "code": "AB-900T00", "prereq": "Basic functional experience with Microsoft 365 services and a proficient understanding of general IT practices.", "tags": [], "learn": [], "modules": [ [ "Explore Microsoft 365 security foundations", "The Zero Trust security model; Built-in security tools for identities, endpoints, data, and apps" ], [ "Microsoft 365 core services and admin controls", "How Exchange, Teams, SharePoint, and OneDrive work together; Use the Microsoft 365 admin center" ], [ "Protect and govern Microsoft 365 data", "Core Microsoft Purview features; Sensitivity labels, data loss prevention, and insider risk management" ], [ "Explore Microsoft 365 Copilot and agents", "Copilot architecture; Compare Copilot and agents; main agent types" ], [ "Basic administrative tasks for Microsoft 365 Copilot", "Manage licenses and pay-as-you-go billing; Track user adoption" ], [ "Basic administrative tasks for Copilot agents", "Create a Copilot Chat agent and a SharePoint agent; Test, edit, and publish agents" ] ] }, { "level": "adv", "id": "AI-103", "name": "Develop AI Apps and Agents on Azure", "role": "Developers", "days": "4 days", "blurb": "A deep, four-day build of AI apps and agents on Azure.", "url": "https://maxtrain.com/cloud-computing/microsoft-azure/develop-ai-apps-and-agents-on-azure/", "about": "For software developers who want to build AI-infused applications with Microsoft Foundry: generative AI apps, AI agents, knowledge connections and tools, multimodal capabilities, and understanding of complex content.", "audience": "Developers building AI-powered applications, software engineers adding generative AI to solutions, solution architects, technical consultants, data professionals expanding into AI application development, and AI/ML practitioners working with Azure AI and Foundry tools.", "price": "$2,595", "code": "AI-103", "prereq": "A basic understanding of programming concepts (Python or similar recommended), familiarity with cloud computing concepts (preferably Microsoft Azure), a general understanding of APIs and application development, and introductory knowledge of AI concepts.", "tags": [ "Microsoft Foundry" ], "learn": [], "modules": [ [ "Plan and Prepare to Develop AI Solutions on Azure", "Core AI concepts; Microsoft Foundry and available tools" ], [ "Select, Deploy, and Evaluate Microsoft Foundry Models", "Explore the model catalog; Deploy models to endpoints" ], [ "Develop a Generative AI Chat App with Microsoft Foundry", "Explore models in the playground; Generate responses with APIs" ], [ "Develop Generative AI Apps that Use Tools", "Code interpreter, web search, and file search; Function-based tools" ], [ "Optimize Generative AI Model Performance", "Prompt engineering and RAG; Fine-tune models" ], [ "Implement a Responsible Generative AI Solution", "Identify and measure risks; Mitigate harmful outputs" ], [ "Develop AI Agents with Microsoft Foundry and Visual Studio Code", "Foundry Agent Service; Build and configure agents" ], [ "Integrate Custom Tools and MCP Tools into Your Agent", "Custom tools in agent workflows; Connect agents to MCP servers" ], [ "Build Knowledge-Enhanced AI Agents with Foundry IQ", "RAG for agents; Configure data sources for knowledge bases" ], [ "Integrate Your Agent with Microsoft 365", "Publish agents to Teams and Microsoft 365 Copilot; Microsoft 365 Agents Toolkit" ], [ "Build Agent-Driven Workflows and Multi-Agent Solutions", "Workflows in Microsoft Foundry; Microsoft Agent Framework orchestration patterns" ], [ "Language, Speech, Vision, and Document Intelligence", "Text analysis, speech apps, and translation; Image and video generation; Content Understanding; Document Intelligence; Azure AI Search" ] ] }, { "level": "adv", "id": "AI-3016", "name": "Develop Generative AI Apps in Azure", "role": "AI Engineers & Data Scientists", "days": "1 day", "blurb": "Build your first generative AI application on Azure.", "url": "https://maxtrain.com/artificial-intelligence/copilot/develop-custom-copilots-with-azure-ai-studio-ai-3016/", "about": "Generative AI is becoming more accessible through easy-to-use platforms like Azure AI Studio. This course teaches how to build custom copilots with Azure AI.", "audience": "AI engineers, data scientists, and students with knowledge of AI who want to create custom copilots with Azure AI.", "price": "$695", "code": "AI-3016", "prereq": "Familiarity with fundamental AI concepts and services in Azure.", "tags": [ "Microsoft Foundry" ], "learn": [], "modules": [ [ "Introduction to Azure AI Studio", "Core features and capabilities; Provision and manage an Azure AI resource and project" ], [ "Get started with prompt flow", "The development lifecycle of language model apps; What a flow is and its core components" ], [ "Build a RAG-based copilot with your own data", "Ground your language model with Retrieval Augmented Generation; Index your data with Azure AI Search" ] ] }, { "level": "adv", "id": "AI-3026", "name": "Develop AI Agents on Azure", "role": "Developers", "days": "1 day", "blurb": "Build and deploy AI agents using Azure's agent tooling.", "url": "https://maxtrain.com/copilot/copilot/develop-ai-agents-on-azure-ai-3026/", "about": "Covers when to use AI agents and how to build them with Azure AI Agent Service and the Semantic Kernel Agent Framework.", "audience": "Developers, data scientists, and IT professionals with basic programming and cloud knowledge who want to build scalable, interactive AI agents for business or personal projects.", "price": "$695", "code": "AI-3026", "prereq": "Familiarity with fundamental AI concepts and services in Azure.", "tags": [ "Microsoft Foundry" ], "learn": [], "modules": [ [ "Get started with AI agent development on Azure", "What are AI agents?; Options for agent development" ], [ "Develop an AI agent with Azure AI Foundry Agent Service", "How to use the Agent Service" ], [ "Integrate custom tools into your agent", "Why use custom tools; Options for implementing them" ], [ "Develop a multi-agent solution", "Connected agents; Design a multi-agent solution" ], [ "Integrate MCP Tools with Azure AI Agents", "MCP tool discovery; Integrate tools using an MCP server and client" ], [ "Develop an AI agent with Semantic Kernel", "Semantic Kernel AI agents" ], [ "Orchestrate a multi-agent solution using Semantic Kernel", "The Agent Framework and agent orchestration" ], [ "Discover Azure AI Agents with A2A", "Define an A2A agent; Implement an agent executor" ] ] }, { "level": "adv", "id": "AI-901", "name": "Microsoft Azure AI Fundamentals", "role": "Aspiring AI Builders", "days": "1 day", "blurb": "Your entry point into Azure's AI platform and core concepts.", "url": "https://maxtrain.com/artificial-intelligence-a-i-machine-learning/ai-cloud-and-platform-specific/introduction-to-ai-in-azure/", "about": "Aimed at early-career technology professionals in AI solution development, with helpful background in Python and core cloud concepts such as storage, compute, and authentication.", "audience": "Anyone starting to build AI applications and agents on Azure. No Microsoft Foundry experience is needed, but basic programming familiarity (Python preferred) is assumed.", "price": "$695", "code": "AI-901", "prereq": "Basic computing and internet awareness, basic programming concepts and syntax (Python preferred), interest in AI agent use cases, and a willingness to learn through hands-on exploration.", "tags": [ "Azure AI Services" ], "learn": [], "modules": [ [ "Module 1: AI concepts for developers and technology professionals", "Generative AI and agents; Computer vision; Speech" ], [ "Module 2: Get started with AI applications and agents on Azure", "Generative AI and agents; Text analysis; Speech" ] ] }, { "level": "adv", "id": "PL-7008", "name": "Create Agents in Microsoft Copilot Studio", "role": "Power Platform Users", "days": "1 day", "blurb": "Build agents in Copilot Studio and connect them to Dataverse and Power Automate.", "url": "https://maxtrain.com/copilot/copilot/create-agents-in-in-microsoft-copilot-studio-pl-7008/", "about": "Learn how to create custom copilots with Copilot Studio, integrate them with Dataverse and Power Automate, and deploy them to a sample website and Microsoft Teams.", "audience": "Candidates should be familiar with Microsoft Power Platform and Microsoft Copilot Studio.", "price": "$695", "code": "PL-7008", "prereq": "A work or school account with access to Copilot Studio is needed for some exercises. Depending on your Microsoft 365 organization's configuration, you may be able to create a trial account.", "tags": [ "Power Automate", "Copilot Studio" ], "learn": [], "modules": [ [ "Build an initial copilot with Microsoft Copilot Studio", "Creating a copilot with natural language understanding; Configuring generative AI instructions" ], [ "Manage topics in Microsoft Copilot Studio", "Creating topics and working with trigger phrases; Managing topics" ], [ "Work with entities and variables", "Working with and creating custom entities; Working with variables" ], [ "Enhance Microsoft Copilot Studio copilots", "Use Power Automate to add actions; Copilot actions and generative answers" ], [ "Create a copilot with Copilot Studio and Dataverse for Teams", "Create a copilot for the Teams app; Deploy a copilot to a Teams channel" ] ] }, { "level": "lead", "id": "A3AIADOPT", "name": "Prompt Engineering for Directors & VPs", "role": "Directors & VPs", "days": "1 day", "blurb": "A director-level look at using AI prompts to drive better decisions.", "url": "https://maxtrain.com/artificial-intelligence/prompt-engineering-for-directors-vps/", "about": "A one-day, hands-on program for organizational leaders who want to drive AI-led change, with strategic insights and practical tools for applying AI across departments, improving operations, and building a culture of innovation. It ends with a leadership roadmap for AI adoption.", "audience": "C-suite executives (CEO, CIO, CTO, CDO, CFO), vice presidents and managing directors, business unit leaders, strategic advisors and innovation officers, enterprise architects, and senior consultants.", "price": "$995", "code": "A3AIADOPT", "prereq": null, "tags": [], "learn": [], "modules": [ [ "Introduction and Objectives", "Workshop structure and agenda; Current state of generative AI and key vendors" ], [ "Use Case 1: Basic Prompt Engineering", "Prompt structure and components; Hands-on writing of clear, specific instructions" ], [ "Use Case 2: Intermediate Prompt Engineering", "Chain-of-thought and role-based prompting; Comparing results and cost-benefit analysis" ], [ "Use Case 3: Advanced Prompt Engineering", "Multi-step reasoning and few-shot examples; Guardrails, reusable templates, and prompt libraries" ], [ "Individual Use Case Development", "Plan a personal use case; Create, test, and document custom prompts" ], [ "Wrap-Up and Next Steps", "Core concepts, pitfalls, and ROI measurement; Reference materials and follow-up planning" ] ] }, { "level": "lead", "id": "ITML-AIGITP", "name": "AI Governance from an IT Perspective", "role": "IT Leaders & Governance Teams", "days": "1 day", "blurb": "Build the governance framework your IT organization needs for AI.", "url": "https://maxtrain.com/ai-operations-security-and-testing/ai-governance-from-an-it-perspective/", "about": "Covers core AI governance principles and practices, how IT, data, and AI governance connect, AI-related IT risks, IT's role in governance, and a ten-step AIM design process.", "audience": "IT leaders and governance teams responsible for AI risk, policy, and oversight.", "price": "$395", "code": "ITML-AIGITP", "prereq": null, "tags": [], "learn": [], "modules": [ [ "AI Usage Options", "" ], [ "Causes of AI IT-User Conflict", "" ], [ "The IT, Data, and AI Governance Connection", "" ], [ "AI Governance Scope and Definitions", "" ], [ "Role of IT in AI Governance", "" ], [ "AI Governance IT Activities", "" ], [ "Risk Management in AI Systems", "" ], [ "AIM AI Governance Design Process", "" ], [ "Appendix: Deliverable Templates", "" ] ] }, { "level": "lead", "id": "ITML-PITLAI", "name": "Preparing IT Leadership for AI", "role": "IT Leaders", "days": "1 day", "blurb": "What IT leaders need to know before rolling out AI at scale.", "url": "https://maxtrain.com/leadership/leadership-skills-development/preparing-it-leadership-for-ai/", "about": "A one-day course on the strategic leadership skills needed to lead AI projects and initiatives, covering opportunities and risks, AI implementation leadership, readiness assessment, and when to proceed with or hold off on AI efforts.", "audience": "IT leaders preparing themselves and their organizations to lead AI initiatives.", "price": "$395", "code": "ITML-PITLAI", "prereq": null, "tags": [], "learn": [], "modules": [ [ "The Ebb and Flow of IT Intensive Innovation", "" ], [ "IT Strategy Based on Organizational Size", "" ], [ "Preparing Yourself and Others for AI", "" ], [ "Preparing IT Leadership for Potential AI Risks and Issues", "" ], [ "IT Leadership AI Implementation Skills", "" ], [ "AI Leadership Readiness", "" ], [ "When and When Not to Implement AI", "" ] ] }, { "level": "lead", "id": "ITIL-AIGovernance", "name": "ITIL (Version 5) AI Governance", "role": "ITSM & Governance Professionals", "days": "3 days", "blurb": "Accredited ITIL (Version 5) training on governing AI within IT service management.", "url": "https://maxtrain.com/it-service-management-itsm/itil/itil-5-version-5-ai-governance-accredited/", "about": "Teaches professionals to govern, manage, and apply AI responsibly in digital products and services, covering the policies and decision-making needed for safe, ethical, value-driven AI adoption.", "audience": "IT and digital leaders, IT service managers, product managers and product owners, AI governance and risk professionals, compliance, security, and privacy stakeholders, transformation and innovation leaders, and anyone involved in the adoption, management, or oversight of AI in the enterprise.", "price": "$2,710", "code": "ITSMA-AIG5", "prereq": "ITIL Foundation is not a prerequisite for this class.", "tags": [], "learn": [], "modules": [ [ "Course overview", "Govern, manage, and apply AI responsibly in digital products and services; Policies and decision-making for safe, ethical, value-driven AI adoption" ] ] }, { "level": "lead", "id": "AB-731", "name": "Drive AI Transformation in Your Organization", "role": "Leaders & Executives", "days": "1 day", "blurb": "An executive playbook for leading AI transformation.", "url": "https://maxtrain.com/artificial-intelligence-a-i-machine-learning/ai-prompt-engineering/drive-ai-transformation-in-your-organization/", "about": "Teaches senior leaders to guide AI transformation across an organization: spot high-impact AI opportunities, tie AI investments to business goals, and promote responsible AI practices. It focuses on practical applications and strategic decisions and requires no technical expertise.", "audience": "Business managers, IT project managers, and chief executives.", "price": "$695", "code": "AB-731T00", "prereq": "A basic understanding of IT concepts and of business concepts.", "tags": [], "learn": [], "modules": [ [ "Understand the foundations of generative AI for business leaders", "What is generative AI?; The business value of generative AI solutions" ], [ "Build effective generative AI solutions in your organization", "Understand prompt engineering; Ground AI using trusted data" ], [ "Drive business value with Microsoft Copilot solutions", "Explore Copilot solutions and experiences; Map business processes to Copilot solutions" ], [ "Drive business value with AI using Microsoft Foundry Tools", "Why Microsoft Foundry matters; Choose the right Foundry model for your goals" ], [ "Leverage AI tools and resources for your business", "Basic AI technology concepts; The Microsoft AI approach" ], [ "Create business value with AI", "Business strategy; Technology and data strategy; AI strategy and experience" ], [ "Embrace responsible AI principles and practices", "Guiding principles for responsible AI; Design a system for AI governance" ], [ "Scale AI in your organization", "Unlock AI value; Organize for AI success; Empower business users with AI" ] ] }, { "level": "pm", "id": "RFG-PM-NonPM", "name": "Project Management for Non-Project Managers", "role": "Anyone Doing PM Work Informally", "days": "2 days", "blurb": "All 10 PMI knowledge areas, built for people who manage projects without the title.", "url": "https://maxtrain.com/project-management/general-project-management-courses/project-management-fundamentals/", "about": "A two-day introductory seminar covering all 10 PMI knowledge areas and formal project management best practices, including triple-constraint basics, quality, and risk, with hands-on exercises.", "audience": "Project leaders and managers, project team members, and students preparing for the PMP exam.", "price": "$1,295", "code": null, "prereq": null, "tags": [], "learn": [], "modules": [ [ "Introduction to Project Management", "The basics; Project success factors; Triple constraint" ], [ "Project Integration Management", "Develop the project charter and management plan; Close the project or phase" ], [ "Project Scope Management", "Plan scope management; Work breakdown structure (WBS); Validate scope" ], [ "Project Schedule Management", "Defining activities; Estimate activity durations; Critical path" ], [ "Project Cost Management", "Estimating costs; Determine budget; Control costs" ], [ "Project Quality Management", "Plan, manage, and control quality" ], [ "Project Resource Management", "Plan resource management; Acquire resources; Develop team" ], [ "Project Communications Management", "Plan, manage, and monitor communications" ], [ "Project Risk Management", "Identify risks; Prioritizing risks; Plan risk responses" ], [ "Project Procurement Management", "Plan procurement management; Conduct and control procurements" ] ] }, { "level": "pm", "id": "RFG-PM20", "name": "Managing a Project with Your Team", "role": "Project Team Members & Leads", "days": "3 days", "blurb": "A workshop on team and stakeholder management to run projects more effectively.", "url": "https://maxtrain.com/project-management/general-project-management-courses/managing-a-project-with-your-team/", "about": "A workshop on team and stakeholder management that shows how interpersonal dynamics affect project outcomes, with practical tools and an interactive case study.", "audience": "Project managers, project team members, project stakeholders, PMO managers, and other organizational managers.", "price": "$1,295", "code": "RFG-PM20", "prereq": "Participants must attend the full workshop, seven hours each day. The course counts for 14 PDUs toward PMP certification renewal.", "tags": [], "learn": [], "modules": [ [ "Introduction to the Workshop", "Workshop goals and schedule; Student introductions and expectations" ], [ "Who Are the Stakeholders?", "Stakeholder identification and analysis; Creating and using a Stakeholder Register" ], [ "Identifying Stakeholder Expectations", "Identifying and agreeing on project goals; Writing a Business Case" ], [ "Clarifying Stakeholder Expectations", "Techniques for determining stakeholder needs; Writing clear stakeholder requirements" ], [ "Managing Stakeholder Expectations", "Creating a workable Communications Plan; Emotional intelligence and negotiation" ], [ "Workshop wrap-up", "Daily applied exercises on a real-life project problem" ] ] }, { "level": "pm", "id": "PM-CAPM", "name": "Project Management Essentials Training (CAPM)", "role": "Aspiring & Early-Career PMs", "days": "3 days", "blurb": "Foundational knowledge and skills for anyone building a project management career.", "url": "https://maxtrain.com/project-management/pmi-project-management-institute/project-management-essentials-training-course-capm/", "about": "Helps individuals take on more project responsibility and build skills in their current role by teaching core project management principles and terminology across agile, predictive, and hybrid approaches.", "audience": "Any individual who wants to build a career as a project manager.", "price": "$2,295", "code": "PME100", "prereq": "None.", "tags": [], "learn": [], "modules": [ [ "Fundamentals and Core Concepts", "Project management discipline; Organizational project management; Organization structures" ], [ "Leadership", "Leadership versus management; Leadership styles; Servant leadership" ], [ "Roles and Responsibilities", "Project management and stakeholder roles; Skills and competencies" ], [ "Project Initiation", "Project charter and kick-off meetings; Benefits planning" ], [ "Project Management Planning", "Planning concepts; Project versus product management plan; Compliance and quality" ], [ "Predictive", "Predictive approaches; Process groups" ], [ "Adaptive", "Agile mindset, methodologies, and frameworks; Adaptive plans, scope, and iterations" ], [ "Business Analysis", "Business analysis domains; BA roles and responsibilities" ], [ "Project Closure", "Project or phase closure; Benefits realization; Knowledge transfer" ] ] }, { "level": "pm", "id": "PMT-PMP5D", "name": "PMI Authorized PMP Exam Prep", "role": "Experienced PMs Pursuing Certification", "days": "5 days", "blurb": "PMI-authorized prep for the PMP certification exam.", "url": "https://maxtrain.com/project-management/general-project-management-courses/pmi-authorized-pmp-exam-prep/", "about": "Designed to build project management skills and support career growth, this course prepares learners for the PMP certification and covers the 35 required contact hours.", "audience": "People with some project management experience, whatever their job title, who want to deepen their knowledge, apply structured methods, move into formal roles, or prepare for the PMP exam.", "price": "$1,795", "code": "PMT-PMP5D", "prereq": "A basic grasp of project management principles is recommended. Introductory courses such as Project Management Fundamentals and Project Management Essentials can provide it.", "tags": [], "learn": [], "modules": [ [ "Introduction and PMP Exam Overview", "" ], [ "An Introduction to the PMBOK Guide", "" ], [ "Understanding the Project Environment", "" ], [ "The Role of the Project Manager", "" ], [ "Creating a High-Performing Team", "" ], [ "Starting the Project", "" ], [ "Doing the Work", "" ], [ "Keeping the Team on Track", "" ], [ "Keeping the Business in Mind", "" ], [ "Code of Ethics and Professional Conduct", "" ] ] }, { "level": "pm", "id": "CT-PROJ+", "name": "CompTIA Project+", "role": "IT Project Managers", "days": "5 days", "blurb": "An IT-focused project management certification, built for technical teams.", "url": "https://maxtrain.com/project-management/comptia-project-management/comptia-project/", "about": "An introductory IT project management course for small to medium-sized projects, covering the full project lifecycle and preparing learners for the CompTIA Project+ exam (PK0-005).", "audience": "Entry-level IT professionals who want practical project management skills, people expanding their project management knowledge on small to medium projects, and aspiring project managers who want concepts beyond a single methodology.", "price": "$2,495", "code": "CT-PROJ+", "prereq": "Basic project management concepts are recommended.", "tags": [], "learn": [], "modules": [ [ "Preparing for the Project", "" ], [ "Selecting the Project Framework", "" ], [ "Initiating the Project", "" ], [ "Facilitating Effective Meetings", "" ], [ "Implementing Solution Design", "" ], [ "Resources", "" ], [ "Risk", "" ], [ "Creating a Project Schedule", "" ], [ "Creating a Project Plan", "" ], [ "Procuring Solutions", "" ] ] }, { "level": "pm", "id": "RFG-PM16", "name": "Project Cost Management", "role": "Project Managers & Team Members", "days": "2 days", "blurb": "Budgeting, estimating, and cost control for people accountable to a project budget.", "url": "https://maxtrain.com/project-management/general-project-management-courses/project-cost-management/", "about": "An introductory course that builds skills in cost estimation, budgeting, and variance analysis, aligned with PMI standards and including practical Earned Value Management.", "audience": "Project team members who want stronger cost estimating and budgeting skills, project managers improving their cost management, professionals who want best practices for on-budget delivery, and people working toward PMP certification.", "price": "$1,295", "code": "RFG-PM16", "prereq": null, "tags": [], "learn": [], "modules": [ [ "Strategic Course Goals and Objectives", "Financial terms and concepts; Fixed, variable, and sunk costs" ], [ "Introduction to Cost Management processes", "Triple constraint; Project management plan and WBS" ], [ "Plan Cost Management", "Purpose; The cost management plan" ], [ "Estimate Costs", "Purpose of estimating costs; Cost estimating tools and techniques" ], [ "Determine Budget", "Purpose of determining the budget; Tools and techniques" ], [ "Control Costs", "Monitoring and controlling the project; Purpose of controlling costs" ], [ "Earned Value Management", "Purpose and introduction; Earned value rules" ], [ "Project Closure", "Purpose; Lessons learned" ] ] }, { "level": "pm", "id": "RFG-PM15", "name": "Project Time Management", "role": "Project Managers & Team Members", "days": "2 days", "blurb": "Scheduling and time-estimating practices aligned with the PMBOK Guide.", "url": "https://maxtrain.com/project-management/general-project-management-courses/project-time-management/", "about": "An introduction to managing project time, aligned with the PMBOK Guide, for team members and project managers, with practical exercises for schedule management and control.", "audience": "Project team members who want better time estimating and management skills, project managers looking to strengthen Project Time Management practices, and students preparing for the PMP exam.", "price": "$1,295", "code": "RFG-PM15", "prereq": null, "tags": [], "learn": [], "modules": [ [ "Lesson 1: Introduction", "Context and challenges of time management; Triple constraint and work breakdown structure" ], [ "Lesson 2: Project Time Management Processes", "Overview of the seven time management processes" ], [ "Lesson 3: Plan Schedule Management", "Purpose and elements of the plan; Schedule control parameters" ], [ "Lesson 4: Define Activities", "Relationship to the WBS; Activity attributes" ], [ "Lesson 5: Sequence Activities", "Dependencies and their classes; Lag and lead" ], [ "Lesson 6: Estimate Activity Resources", "Identifying resources for each activity" ], [ "Lesson 7: Estimate Activity Durations", "Analogous and parametric estimating; Three-point (PERT) estimating" ], [ "Lesson 8: Develop Schedule", "Critical path and critical chain methods; Resource leveling and schedule compression" ], [ "Lesson 9: Control Schedule", "Performance reviews and variance analysis; Adjusting leads and lags" ] ] }, { "level": "pm", "id": "RFG-PM18", "name": "Project Risk Management", "role": "Project Managers", "days": "3 days", "blurb": "Identify, assess, and plan for the risks that derail projects.", "url": "https://maxtrain.com/project-management/general-project-management-courses/project-risk-management/", "about": "Designed for professionals who must handle uncertainty and manage risk in projects: how to identify, evaluate, and mitigate risks.", "audience": "Aspiring project leaders who plan to run a project, and team members who contribute to a project team, including project managers.", "price": "$1,295", "code": "RFG-PM18", "prereq": "Working knowledge of project environments, or a foundations course in project management, is recommended.", "tags": [], "learn": [], "modules": [ [ "Introduction to Project Risk Management", "Course objectives and class norms; The Domino Project exercise" ], [ "Project Risk Management", "Risk definition, impacts, events, and conditions; Risk versus issues management" ], [ "Plan Risk Management", "Risk management plan and risk tolerance; Risk categories and the risk breakdown structure" ], [ "Identify Risks", "Brainstorming techniques; The risk register" ], [ "Project Risk Assessment", "Qualitative analysis with a probability impact grid; Quantitative analysis, including Monte Carlo simulation" ], [ "Plan Risk Responses", "Response strategies for threats and opportunities; Contingency reserves and the risk response plan" ], [ "Control Risks", "Risk audits, variance, and trend analysis; Tracking and reporting on project risk" ], [ "Continuous Improvement", "Using lessons learned; Capstone exercise on a short case study" ] ] }, { "level": "pm", "id": "RFG-PM17", "name": "Project Stakeholder & Communications Management", "role": "Project Managers & Leads", "days": "2 days", "blurb": "Keep the right people informed and aligned throughout a project's life.", "url": "https://maxtrain.com/project-management/general-project-management-courses/project-stakeholder-communications-management/", "about": "Builds the skills needed to manage project stakeholders and communicate effectively within projects.", "audience": "Project team members who want stronger stakeholder management and communication skills, project managers aiming for proactive stakeholder management, and professionals preparing for the PMP exam.", "price": "$1,295", "code": "RFG-PM17", "prereq": null, "tags": [], "learn": [], "modules": [ [ "Introduction", "Project management knowledge areas; 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A basic understanding of project management and business processes is beneficial.", "tags": [], "learn": [], "modules": [ [ "Transitioning to Agile Project Management", "The necessity of Agile in project management; Adapting tools for Agile success" ], [ "Understanding Agile: Values, Principles, and Practices", "Core values of Agile; Overview of key Agile practices and methodologies" ], [ "Agile Project Management Essentials", "Leadership philosophy in Agile; Aligning development with customer and company goals" ], [ "Agile Adoption Process", "Six-step rollout for Agile adoption; Process assessment and realignment" ] ] } ]; const BRAND_ICONS = { azure: 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g0Lwzv19sZ76CiUAqrCqSy7/MKBJ1449QLsgna7jqA7CxjfbbCHXPbwd7fC989FWNSoaLPhQgi1wVPT1SszCutOg6ayUUlh2z4cx9qqgJe+BNRiuFIFJABcGAngAoA9LMwfRf7YMeTWrSUJm1fYLwUxna2DWAp5Zc8/9/x3v3ThE3T6I9i926CLzf+6EyDmqjLvYC9L6mL81F0IdRRD2QDGRo3V9cJDAooL0vINhLj3h2ULALkAGgQ0+9tpHtqwPlr2Rb0jpvULqK26cCY9bF2puAPAI6Mbxmnf4BCkhPE9nM7Q4+SltyAoRlztOHLV3hWBxKE0vAHBmpMRD+KDOVTixq+KgPwc0inB5qsuGwBi0IVQKuxn2BUWDh3I/fy9GB+XbjDEXeEHpJmcXETW31LGT7WaLSmLSYlZUGUDf+51+G++ipZI6eWoqZqrFPT6KRTmC8i/OQM2Jt7qoHlSptUcTFKUjMa3a80mKwBLMa/spbacO3/xRSBSdLElMneLH6jdQV4WANXNfNVVPzc1SnN5kLKFNzcN/81XBihC7aR9XDlnLACD2ddeB1G04rF5w7/GXJ22TN41hwAJk/4Kx6khsHo7AGB0wzgNAEHRDueZ088/AC+zCUGx2ftJcO2o1fLEslsqIcLsahTXvisedwV9LdpUicYBCaoYWpxD2hNsuvISNG7QtXTEdI4dABWKMPT0+pefP2/f1JgD2mOIu8LPGVsvhpfeBFfU5jVfyVFtsmVUz1FjYfMzSL3xUrw4mpcwMLfCENVjyEuhsFBA/s1ZkLFQ0T4Qk5CeaJrUj70hP7PptVNO3wZ0xhB3hR/ITrIZQMk133CvYgBqPNjCHNJHXwSJ61MEahKhjKGZ16ZjL6g/xCQ2OurPV8Cxn4EljjB0sD2GqONd3Xa3zQQbD8KmzkZYknrRugknW3sdEaYi78j5aRTXvRtqPECcRvWlg8DQPFI2xKb3X9K4VrwHxDQ6Ukn3pcJehl0x/2xaps/df/vFYTsMcXv8QNOljZeoTZ8NFwhq13yhZfKsizVftZYBCFtwqYD00RdAYREwHrXfs3gpGPJRzBeRn5kBGxt5Qz0jpsE6ErwpKLErFYT9zNkFWX1phCE1SxegEnxhJ9k0VKN9C7XjZEsnMZAw86VQY4EwQOroi0ql/CL8LEezbQPAEBnMvjYNIqrxRntDTKv5gfpJfRXy0oCxMYZak4bavj6+20sP+0/Cps9AWIq8nwbTo06m2z2mFMQEFwaBZ64MN27+ItIjH0L+WDXqXjKGwihPtDgP34TYdPm2SBjVzpTsFLAl0qe6JTt5aZZC/nn8ZuE9h6bOKzXkWDpYwPhuBqDpnHcZvEy18RPy+9XO0K9lkMCmAeaHw2/c+jAKMzehcPz7yK6xAILeMEQVb6i0WKwGZY0r7JeEmEbrSCpxIdZSQUwqd4aelLkMALA7eaaM23o/1u4km4pqcrqYbOlLDECJLaCyG5PKeOWVEg4/8REszn4XmTUe4vK77jDECRiymH19Okqn9o+YxLqihsha4KVBxu5shyFqmY689gep9CnhU7Dp06sWoJ0Rk5Dfb4+p2NaJCIqSiG4qfvuWFzH5I4tdY9GfmPrLJ+5GZs1tyM+EILUdnbcmDAVAYQ4+Bzjn0m0Am+aC0CUhpv17tIwhm2Ip5l8MgnDz4TvOKSZhiFvgB6lT3OXwsqfX4aeblS20VMugGD8ZQOWnUeNPcmUCZlIZXzr/duSP3YXsiAU4rN/JuwsMEQE2hdJiCQszM2DDVSerJ8S0so54D6/oCWtQEJMeOt343uVR0zZjiFt7P7QT1m+Nn66XGaGuBDFRjGhzJID0vuhNY/F4Q4opRG7cne/9LPLHvoD0kAWztBehAUOoYuj49HR0dX0ipt6BSvamVCFkU2CJVla+fnAvdRKAMLU9xB/fk4bQjRoWoSDWxKo1LE0MaimGKhsrwUJBQ/cf8fSn1M5LYoIEkz+yuPOCv0H+zTvgZQ3IaHVH7xZWULOwT4kBP43jx2YRFkvRfFJT4W7rKDmpt3dKZ1CUIYUCN7578oX0vqntYVzv3UKAMn7MuisolTkNYRx81aQStNMWA0sXI8KPyP8UvjPxcjT5P9X8JzOmtoeYVIsvX/j3KBz/E1iPwB5aBmxEzQ/PR1AoIT8zA2ITrWztHTFthYo/kiXyhk7LbnBXRE1c3+aciB9jd8L4CoIkRbUDFQOqZAyUcF/04t7WweEUxSJc8G0U5neAbQDjMUSkK2+IbbQV8vR0ZH99IiapWEu19k9CRLUdZHxV2EQMcRN+xndnALoBYZHqEvYtUgz9iQEFG6vFhUVm95/RVe9tn4KYohC3/dLDXVsfQHHuehDPw08nR821GEKMIS+NuTdnERaLVQx1i5h2vb2FC0tKLMU8QeWGU7/6cqYRQ9yEnzVDV1EqeypcqYIfdDXZ0pMYAi8DQH6y+C87XmmBn+bj69sCTKrFXRf9EPnjV0NxFH7GRNssdoGhYhDlhthUJmq6Qkyr3q7abgtNlqAonBo6dcgWrmrEEDfhR2kC7ClA0rmEkPqzDIVS1Aid8ZOIox9ZfG3bz1GY2Q7njiA1ZOoDtlYY8jB79Gh1WqAPxLQTquZ8IWNVwRONGOIG/Phg3l6Pn+7rOZdmGTF+Cgt5Br7fFX6aRNgeifDVSw8gPzuGMHga6WFbJ0JDdjTCUAoLx+cRlopR1rsPxCQLVf6jQ1rFUKlABN6+ZfKAX4shrgvh/GJaCasUAq1suNR+sqX7GKFRDBJ4GQXJjxe/efOvu8ZPkgi71eBvL30epZkxlAqPIDNiIbEIlLD1mbEQMNRJfUzQG2Li3q411tHwmaqEaKvNVSXMp2ubnCu+9uQk495PzJHiZXBKALgorxSXiw9aDIVT45GC/i32/XufoZ8gh/HdBndd9lvkf/NBFBd+jNxqC9WgdqI+qiVmAAZeNgdjvbo/DtQzYtp5U9GsuiMvJQp9+fCuy+bKixzrx4BDuwggVXFfgZeKQkfVEIoQqqGqhgqECoRA9Fr1gegBhNFmTRqfg8r7K+cBIQgBMiO+Ls4+V5TwfqgSpsb6KxTaMxGJ8HfbZ1B481oU5r+P3DovjhNCgEKAQ42vae1JJ4VEFIpE9yaqoapE99nFQ1Saz0fCQzUkYktemlnoyyDS8XN3UXIyLl797t/2X5+Dn52E9TOJiSfS5km2rqciNU6WFR/TwsLHS/fcfKj8vQOpUImruDE6afH+iX+G8f8UNgVICHIhDEJsXD+M9etHIE7aXnJ9gq3zVGWLzCCkVCi44vyuZz51zp2V62uZDY0bI3XbD84Umx0lBCNwXbaNANGK1doZuIaObTwHwnOlh5//b+y/PViWfflrP/Pzhy4C7KUIFjJWA/OODTlaM5JDqdRldts13kPjvRmAVAgsUKG6SnhmkPVmgyC/7/Ad5zzXfUcbX6E/cj/gbYCbBqkBbaw3kKNFeQq1b5yx5bmBQ9OKPePSqWhpYEhqGOBHMbaCLb8X+zAmtdg5cZw4ThwnjhPHiQMA/he+OWlmsy3iWQAAAABJRU5ErkJggg==', copilot: 'data:image/png;base64,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', }; const BRAND_BY_ID = { "OP-Copilot": "copilot", "OP-CopExc365": "copilot", "OP-CopWrd365": "copilot", "MA-2040": "copilot", "MS-4004": "copilot", "MS-4018": "copilot", "MS-4019": "copilot", "MS-4021": "copilot", "MS-4022": "copilot", "AB-620": "copilot", "AI-103": "azure", "AI-3016": "azure", "AI-3026": "azure", "AI-901": "azure", "PL-7008": "copilot" }; const APPROVAL_EMAIL = 'Bob.Schwieterman@kinettix.com'; // Paste the catalog PDF's Media Library URL between the quotes to show the Download Catalog button. const CATALOG_PDF_URL = ''; const CATALOG_PDF_B64 = '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'; const PDF_BASE = 'https://usa.htm2pdf.co.uk/urltopdf?apikey=8C0TWodmZlz1'; const MAX_MODULES = 12; function pdfUrl(c){ return PDF_BASE + '&filename=' + encodeURIComponent(c.name) + '&url=' + encodeURIComponent(c.url + '?export_pdf=true&ignoreauth=12a'); } const catalogBtn = root.querySelector('#kx-catalog-pdf'); if (catalogBtn) { if (CATALOG_PDF_URL) { catalogBtn.href = CATALOG_PDF_URL; } else { try { const bin = atob(CATALOG_PDF_B64), bytes = new Uint8Array(bin.length); for (let i = 0; i { const items = COURSES.filter(c => c.level === level.key); const section = document.createElement('section'); section.className = 'kx-level-section'; section.dataset.level = level.key; section.innerHTML = ` ${level.title || level.label} ${level.tagline} ${items.length} course${items.length===1?'':'s'} `; const grid = section.querySelector('.kx-grid'); items.forEach((c) => { const card = document.createElement('div'); card.className = 'kx-card'; const brandKey = BRAND_BY_ID[c.id]; const brandImg = brandKey ? `` : ''; const tagsRow = (c.tags && c.tags.length) ? `${c.tags.map(t => `${t}`).join('')}` : ''; const downloadIcon = ``; const learnBlock = (c.learn && c.learn.length) ? `What You'll Learn${c.learn.map(x => `${x}`).join('')}` : ''; const aboutPanel = `${c.about}${learnBlock}`; const audiencePanel = `${c.audience || c.role}`; const shown = c.modules.slice(0, MAX_MODULES); const more = c.modules.length > MAX_MODULES ? `Plus ${c.modules.length - MAX_MODULES} more modules. Use Download Curriculum for the full outline.` : ''; const curriculumPanel = `${shown.map(([t,p]) => `${t}${p ? `${p}` : ''}`).join('')}${more}`; const prereqPanel = `${c.prereq || 'No prerequisites are listed for this course.'}`; const pdfBtn = `${downloadIcon}Download Curriculum`; const detailMain = ` About Audience Curriculum Prerequisites ${pdfBtn} ${aboutPanel} ${audiencePanel} ${curriculumPanel} ${prereqPanel} `; card.innerHTML = ` ${level.label} ${brandImg} ${c.name} Audience: ${c.role} ${c.blurb} ${tagsRow} ${c.days} ${c.price ? `${c.price} per person` : ''} Learn More ${detailMain} At a glance Length${c.days} ${c.price ? `Price${c.price} per person` : ''} FormatLive, instructor-led ${c.code ? `Course code${c.code}` : ''} View Course