Artificial Intelligence (A.I.) / Machine Learning 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) / Machine Learning 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: AI-901
Introduction to AI in Azure
$695

This course is for aspiring technology professionals at the beginning of their career in AI solution development.

Group Training Available
Ohio TechCred

AI Operations, Security and Testing

Course Code: TTAI2140
Implementing AI in Software Testing | AI in Test Automation
$1295

Implementing AI in Software Testing Introduction AI is beginning to reshape how testing is planned, written, and maintained, and this course helps you build the skills to apply it in ways that actually make your work easier.

Group Training Available
Ohio TechCred

AI Prompt Engineering

Course Code: TTAI2009
AI QuickStart to Prompt Engineering for Everyday Business Users
$995

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: AB-731T00
Drive AI transformation in your organization
$695

Drive AI transformation in your organization, learners will explore how to lead AI transformation across their organization.

Group Training Available
Ohio TechCred
Course Code: A3AIARC101
Training and Deploying Open-Source LLMs on Bare Metal
$2595

About this Course Learn how to write practical AI applications via hands-on labs.

Group Training Available
Ohio TechCred
Course Code: AB-730T00
Transform business workflows with generative AI (AB-730T00)
$695

In this course, learners discover how to apply generative AI to streamline daily tasks, enhance decision-making, and drive meaningful business outcomes.

Group Training Available
Ohio TechCred
Course Code: TTAI2305
Turbocharge Your Code! Generative AI Boot Camp for Developers
$2495

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: A3AIAGT
Agentic AI for Building Interactive Customer Interactions
$2595

Agentic AI: Building Intelligent Customer Interactions Course This course teaches participants how to design, build, and deploy autonomous agentic AI systems for customer interactions.

Group Training Available
Ohio TechCred
Course Code: TTAI2020
AI Agents in Action (AutoGPT): Generative Intelligence (AGI) for Everyday Business Users
$1995

Getting Started with AutoGPT Introduction This two-day, hands-on course provides practical experience with cutting-edge AI systems to help professionals transform the way they work.

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: MA-2040
AI Copilot for Business Users
$2795

AI / Copilot for Business Users This comprehensive course provides learners with an end‑to‑end understanding of Microsoft Copilot across Microsoft 365 and Microsoft Copilot Studio.

Group Training Available
Ohio TechCred
Course Code: KR-IntroAI
AI for Work: Practical Tools to Save Time and Work Smarter
$250

AI for Work: Practical Tools to Save Time and Work Smarter Many professionals know they should be using it, but most aren’t sure where to start, which tools to trust, or how to use AI responsibly in their organization.

Group Training Available
Ohio TechCred
Course Code: A3AIDRM
AI-Driven Road Management
$1895

AI-Driven Road Infrastructure Management Course Overview This course equips transportation professionals with the knowledge and skills to transform road asset management using artificial intelligence (AI) and computer vision (CV).

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

Applying Generative AI for Decision Makers and Architects Generative AI is reshaping how organizations innovate, operate, and compete.

Group Training Available
Ohio TechCred
Course Code: ChatGPT
ChatGPT for the Office
$195

ChatGPT for the Office Introduction ChatGPT for the Office is a comprehensive course centered on ChatGPT, a cutting-edge AI language model developed by OpenAI.

Group Training Available
Ohio TechCred
Course Code: AIA-CCF
Claude Code Foundations
$1895

Master agentic AI‑assisted development from first prompt to production deployment Claude Code is not just a code suggestion tool—it’s a full agentic development environment that can read your codebase, write and edit files, run tests, commit to Git, and iterate until the task is complete.

Group Training Available
Ohio TechCred
Course Code: AIA-CFB
Claude for Business
$695

Claude for Business Course Put AI to work on your actual job — no code, no IT tickets, no waiting Claude for Business is a hands‑on, one‑day intensive designed for professionals who want immediate, practical results from AI.

Group Training Available
Ohio TechCred
Course Code: TTAI2101
Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise
$995

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: A3AIADOPT
Prompt Engineering for Directors & VPs
$895

Leading AI Adoption is a one-day, immersive program designed for organizational leaders seeking to drive impactful change through artificial intelligence.

Group Training Available
Ohio TechCred
Course Code: AI-3025
Work smarter with AI (AI-3025)
$395

Get more done and unleash your creativity with Microsoft Copilot.

Group Training Available
Ohio TechCred
Course Code: A3ZCAIS
Zero Code AI Solutions
$2195

This two-day course provides a comprehensive introduction to Generative AI Solutions which requires absolutely no coding background or experience.

Group Training Available
Ohio TechCred

Machine Learning and AI

Course Code: AIDEV-201
Accelerating Software Development with GitHub Copilot (Application Development with AI)
$2195

Accelerating Software Development with GitHub Copilot Course Overview You will write custom GPTs for AI-assisted application development.

Group Training Available
Ohio TechCred
Course Code: TTML5502
Exploring AI & Machine Learning for the Enterprise | Hands on Overview
$1995

Exploring AI and Machine Learning for the Enterprise Introduction Welcome to "Exploring AI and Machine Learning for the Enterprise," a specialized training course designed for professionals eager to master the nuances of artificial intelligence (AI) and machine learning (ML) within the corporate landscape.

Group Training Available
Ohio TechCred
Course Code: TTML5506-P
Machine Learning Essentials with Python
$2395

Machine Learning Essentials with Python Introduction Embark on a transformative three-day journey with our "Machine Learning Essentials with Python" course, designed to elevate your proficiency in artificial intelligence and machine learning using Python.

Group Training Available
Ohio TechCred

RPA

Course Code: PL-500T00
Microsoft Power Automate RPA Developer (PL-500)
$2995

Microsoft Power Automate RPA Developer (PL-500T00) - Introduction Embark on a transformative journey with our Microsoft Power Automate RPA Developer course (PL-500T00), tailored for developers eager to excel in automating business processes using Robotic Process Automation (RPA).

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.