Artificial Intelligence (A.I) Courses And Training

Unlock Your Potential With The Best Artificial Intelligence (A.I) Certifications

Artificial Intelligence (AI) training is a comprehensive process essential for creating systems capable of tackling tasks traditionally reserved for human intelligence. It comprises several crucial stages, commencing with data collection encompassing various forms such as text, images, or sensor data. Following data acquisition, preprocessing steps are undertaken to clean and format the data suitably for training purposes. Subsequently, appropriate AI models or algorithms are selected and iteratively trained, adjusting parameters to minimize disparities between predicted and actual outcomes. This iterative process enables the models to learn from the data, improving their performance over time. Evaluation of the trained models is conducted using separate validation sets to gauge their effectiveness and address any issues like overfitting or underfitting. Further optimization techniques, such as hyperparameter tuning, may be employed to enhance performance before deployment into production environments.

Once the trained models meet desired criteria, they are deployed for real-world use, with continuous monitoring to ensure sustained effectiveness. This iterative approach to AI training allows for ongoing refinement based on new data and evolving needs, ensuring that AI systems remain relevant and reliable in dynamic environments. By adhering to robust training methodologies and ethical considerations, organizations can harness the full potential of AI while minimizing risks and biases, thereby fostering innovation and improving efficiency across various domains.

AI tools for business

Artificial Intelligence (A.I) Overview

AI training involves collecting and preprocessing data, selecting and iteratively training models, evaluating their performance, and deploying them into production environments, with continuous monitoring and refinement to ensure effectiveness and mitigate risks.

AI Cloud and Platform-Specific

Course Code: TTAI2335
Azure OpenAI Bootcamp for Developers: Platform, Generative AI, Models, Prompt Engineering
$1895

Azure OpenAI Bootcamp for Developers Introduction Welcome to the Azure OpenAI Bootcamp for Developers, a dynamic and comprehensive two-day training program designed specifically for developers beginning their journey with Azure OpenAI.

Group Training Available
Ohio TechCred
Course Code: AI-102
Designing and Implementing a Microsoft Azure AI Solution
$2395

Designing and Implementing a Microsoft Azure AI Solution: Introduction Welcome to "Designing and Implementing a Microsoft Azure AI Solution," a dynamic three-day program aimed at revolutionizing how you integrate artificial intelligence using Microsoft Azure.

Group Training Available
Ohio TechCred
Course Code: AI-050T00
Develop Generative AI Solutions with Azure OpenAI Service (AI-050)
$595

Develop Generative AI Solutions with Azure OpenAI Service (AI-050) Introduction

Group Training Available
Ohio TechCred
Course Code: TTAI2333
Getting Started with Azure OpenAI Bootcamp for Technical Users
$2495

Azure OpenAI Bootcamp for Technical Users Introduction Welcome to the Azure OpenAI Bootcamp for Technical Users, a comprehensive three-day program tailored for individuals new to Azure and artificial intelligence.

Group Training Available
Ohio TechCred
Course Code: AI-900
Microsoft Azure AI Fundamentals
$795

Microsoft Azure AI Fundamentals (AI-900) Introduction Welcome to our Microsoft Azure AI Fundamentals course, your gateway to mastering the foundational concepts of Artificial Intelligence (AI) within the Azure ecosystem.

Group Training Available
Ohio TechCred
Course Code: TTAI2330
QuickStart to Using Azure AI for Technical Users
$895

QuickStart to Using Azure AI for Technical Users Introduction

Group Training Available
Ohio TechCred
Course Code: TTAI2321
QuickStart to Using Azure OpenAI / Hands-on Basics for Business Users (No Coding Required!)
$895

QuickStart to Using Azure OpenAI Introduction

Group Training Available
Ohio TechCred

AI Operations, Security and Testing

Course Code: TTAI2835
Applying AI to Web Security
$995

Applying AI to Web Security Introduction Applying AI to Web Security is an essential one-day course designed for developers and tech enthusiasts.

Group Training Available
Ohio TechCred
Course Code: TTAI2130
Exploring AI Operations: Strategies for Testing and Deploying Intelligent Systems for Success
$1895

Exploring AI Operations Introduction Unlock the full potential of AI for your organization with our comprehensive two-day course, "Exploring AI Operations.

Group Training Available
Ohio TechCred
Course Code: TTAI2832
Exploring the OWASP Top Ten for AI
$1895

Exploring the OWASP Top Ten for AI Course Introduction Welcome to "Exploring the OWASP Top Ten for AI," a dynamic two-day course led by experts, specifically designed for software developers, IT professionals, and cybersecurity enthusiasts.

Group Training Available
Ohio TechCred
Course Code: TTAI2140
Implementing AI in Software Testing | AI in Test Automation
$1995

Implementing AI in Software Testing Introduction Welcome to 'Implementing AI in Software Testing | AI in Test Automation', a course that covers a wide range of topics, including AI in software testing, AI-powered testing tools, test data generation using AI, test case selection, defect prediction, and test automation.

Group Training Available
Ohio TechCred
Course Code: TTAI2820
Mastering AI Security Bootcamp
$2495

Mastering AI Security Bootcamp Introduction Mastering AI Security Bootcamp is a three-day course designed for technical users, including cybersecurity professionals, system administrators, developers, and IT managers.

Group Training Available
Ohio TechCred
Course Code: TTAI2810
Mastering Machine Learning Operations (MLOps) and AI Security Bootcamp
$2495

Machine Learning Operations (MLOps) and AI Security Bootcamp Introduction Welcome to our MLOps and AI Security Bootcamp: Mastering Machine Learning Operations , a comprehensive three-day event designed to immerse technical professionals in the crucial areas of Machine Learning Operations (MLOps) and AI Security.

Group Training Available
Ohio TechCred

AI Prompt Engineering

Course Code: TTAI2009
AI QuickStart to Prompt Engineering for Everyday Business Users
$895

AI QuickStart to Prompt Engineering for Everyday Business Users Introduction Embark on a comprehensive AI journey with our one-day, AI QuickStart to Prompt Engineering course.

Group Training Available
Ohio TechCred
Course Code: TTAI2300
QuickStart to Mastering Prompt Engineering for Software Developers
$895

QuickStart to Mastering Prompt Engineering for Software Developers Introduction Welcome to our "QuickStart to Mastering Prompt Engineering" course, a focused one-day workshop designed for coders and software developers eager to explore AI-driven solutions.

Group Training Available
Ohio TechCred
Course Code: TTAI2305
Turbocharge Your Code! Generative AI Bootcamp for Developers
$2395

Generative AI Bootcamp for Developers Introduction Welcome to the "Generative AI Bootcamp for Developers," a three-day immersive workshop designed specifically for experienced programmers who wish to dive into the exciting world of Generative AI.

Group Training Available
Ohio TechCred

General Artificial Intelligence and Business Applications

Course Code: TTAI2105
AI / AI Ops for Business Innovators: Intelligent Automation (For Non-Technical Users)
$1895

AI / AI Ops for Business Innovators Introduction Welcome to "AI / AI Ops for Business Innovators: Intelligent Automation," a specially designed course aimed at non-technical professionals who aspire to harness artificial intelligence (AI) and machine learning for business innovation.

Group Training Available
Ohio TechCred
Course Code: TTAI2005
AI Basics Camp 1: Getting Started with AI in Business: Tools & Techniques
$1895

AI Basics Camp Part 1: Getting Started with AI in Business Introduction

Group Training Available
Ohio TechCred
Course Code: TTAI2006
AI Basics Camp 2: Transforming Business Ops with Cutting-Edge AI Apps
$2195

AI Basics Camp - Part 2: Transforming Business Ops with Cutting-Edge AI Apps Introduction Welcome to AI Basics Camp - Part 2, your three-day deep dive into utilizing advanced AI tools to enhance business operations.

Group Training Available
Ohio TechCred
Course Code: TTAI2020
Getting Started with AutoGPT: Artificial General Intelligence (AGI) Basics for Business Users
$1895

Getting Started with AutoGPT Introduction Welcome to "Getting Started with AutoGPT," a comprehensive two-day hands-on course designed for business professionals who wish to leverage the power of advanced Artificial General Intelligence (AGI).

Group Training Available
Ohio TechCred
Course Code: TTAI2101
Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise
$895

Implementing AI in Business Introduction "Implementing AI in Business: Stakeholder Strategies for the Modern Data-Driven, Automated Enterprise" is a comprehensive one-day course designed for business stakeholders.

Group Training Available
Ohio TechCred
Course Code: TTAI2203
Leveraging OpenAI for Enterprise Solutions Bootcamp (Business Focused / Intermediate)
$2695

Leveraging OpenAI for Enterprise Solutions Introduction "Leveraging OpenAI for Enterprise Solutions / AI for Business Bootcamp" is a four-day immersive course designed for experienced developers, data scientists, and business intelligence professionals.

Group Training Available
Ohio TechCred
Course Code: TTAI2102
Understanding, Harnessing & Applying Generative AI for Decision Makers and Architects
$995

Understanding, Harnessing & Applying Generative AI for Decision Makers Introduction Welcome to "Understanding, Harnessing & Applying Generative AI for Decision Makers and Architects," a comprehensive one-day course crafted to guide participants through the dynamic realm of Generative AI.

Group Training Available
Ohio TechCred

FAQ’S About Artificial Intelligence (A.I) Courses And Training Certifications

Artificial Intelligence (AI) refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and perception.

AI differs from traditional computer programming in that it enables machines to learn from data, recognize patterns, and make decisions without being explicitly programmed for every scenario.

Common applications of AI include virtual assistants (e.g., Siri, Alexa), recommendation systems (e.g., Netflix, Amazon), autonomous vehicles, medical diagnosis, natural language processing, and computer vision.

AI can be categorized into narrow or weak AI, which is designed for specific tasks, and general or strong AI, which exhibits human-like intelligence across a wide range of tasks.

Potential benefits of AI include increased efficiency, automation of repetitive tasks, improved decision-making, advancements in healthcare, enhanced personalization, and the ability to tackle complex problems.

Ethical considerations in AI development include fairness, transparency, accountability, privacy, security, and the potential impact on society, including job displacement and societal biases.

Concerns associated with AI include job displacement, algorithmic bias, loss of privacy, security vulnerabilities, misuse of AI technologies, and the potential for AI to perpetuate societal inequalities.

AI has the potential to automate routine tasks, leading to job displacement in certain industries. However, it also creates opportunities for new job roles, skill development, and increased productivity.

Yes, AI systems can learn and improve over time through techniques such as machine learning and reinforcement learning, where they adapt to new data and feedback to enhance their performance.

AI regulation involves developing ethical guidelines, standards, and laws to govern the development, deployment, and use of AI technologies, ensuring they are used responsibly and ethically.

AI training involves teaching machines to perform tasks through exposure to data, enabling them to learn and improve their performance over time. It is essential for developing AI systems capable of making accurate predictions and decisions.

AI training typically involves data collection, preprocessing, model selection, training, evaluation, optimization, and deployment.

Various types of data, including text, images, videos, sensor readings, and structured data, can be used for AI training, depending on the task and application.

Common techniques used in AI training include supervised learning, unsupervised learning, reinforcement learning, deep learning, and transfer learning.

The time required to train an AI model varies depending on factors such as the complexity of the task, the size of the dataset, the chosen algorithm, and the computing resources available.

Trained AI models are evaluated using metrics such as accuracy, precision, recall, F1 score, and confusion matrices, comparing their predictions against ground truth labels.

Challenges in AI training include overfitting, underfitting, data scarcity, class imbalance, computational resource limitations, and ethical considerations.

Biases in AI training data can be mitigated through techniques such as data preprocessing, algorithmic fairness measures, diversity in dataset collection, and ongoing monitoring and evaluation.

There are various resources and tools available for AI training, including open-source libraries (e.g., TensorFlow, PyTorch), cloud computing platforms (e.g., AWS, Google Cloud), and online courses and tutorials.

Organizations can ensure responsible and ethical AI development through transparency, accountability, diversity in data and teams, stakeholder engagement, and adherence to ethical guidelines and regulations.