Jonathan Barrios
Data Science, Machine Learning & AI
AI & Machine Learning Training for Safe Team-Wide AI Adoption
Artificial intelligence and machine learning fundamentals for IT teams preparing for AI-driven infrastructure and operations.
25
Courses
2,965
Videos
400h
Total
Where teams start
Most Popular AI & Machine Learning Courses
Core AI paths for professionals, IT leaders, developers, and teams adopting safe AI workflows.
AI Productivity Tools
This entry-level AI productivity tools training course shows you how to make AI work for you. You’ll practice prompting ChatGPT, Copilot, Gemini and similar tools to summarize inboxes and research, turn meeting transcripts into task lists, and automate spreadsheet analysis and formatting. Learn to build slide decks in seconds, use AI agents to manage calendars, and apply responsible AI practices for security and privacy. No prior AI experience required, just a desire to reclaim your time and focus on meaningful work.
Jonathan Barrios
Microsoft Copilot
Microsoft Copilot is built into the tools you use every day: Excel, Word, and PowerPoint. But to get real value, you need to know how to guide it. This training shows you how to create documents instantly with Microsoft Word AI, analyze data and formulas in Excel, and design complete presentations in PowerPoint. You’ll also learn to use Copilot Chat for prompts and image generation, and avoid the common mistakes that waste time. With the right inputs, Copilot becomes an AI partner that helps you save hours, sharpen your work, and boost productivity across Microsoft 365.
Jonathan Barrios
AI compliance
This AI course for beginners shows non-technical professionals how to apply AI with guardrails that protect data, respect copyright, and reduce bias. AI can accelerate HR, Legal, and IT operations, but only if used responsibly. In this quick, plain-language AI training, you'll learn compliance frameworks, governance controls, and evaluation strategies to keep your team safe while unlocking AI’s productivity benefits. By the end, you’ll know how to deploy AI in your workflows confidently, legally, and securely.
Jonathan Barrios
AI Compliance for Devs
This AI compliance course for developers is designed to help coders and devs learn to avoid copyright violations, prevent AI bias, and meet privacy and compliance standards while building secure AI applications. AI gives developers enormous power, but without the right guardrails, it can create serious risks. Learn AI compliance essentials, how to apply AI in cybersecurity, and how to align with ethical, legal, and industry frameworks. Made for developers and DevOps teams, it’s the practical foundation you need to build tools that are secure, compliant, and fair.
Jonathan Barrios
Vibe Coding
Vibe coding with ChatGPT and Cursor can empower everyday users to build helpful applications, but only if it’s done safely. This course equips product owners, analysts, and developers with practical strategies to use vibe coding tools effectively while protecting data and reducing risk. You’ll learn how to write prompts that avoid exposing PII, maximize the power of Copilot, apply context-aware prompt engineering, and validate AI-generated outputs. Finally, you’ll see how to hand off reproducible code steps that engineers can trust, turning quick ideas into secure, usable solutions.
Jonathan Barrios
Entry
Microsoft Azure AI Fundamentals (AI-900)
Business units are already asking IT about AI, but many teams lack a shared vocabulary for what Azure AI services do, what they cost, and how to use them responsibly. This Microsoft Certified: Azure AI Fundamentals (AI-900) training gives IT Directors and Team Leads a common baseline before AI projects reach production. The early skills cover machine learning workloads, computer vision, natural language processing (NLP), and Microsoft's six responsible AI principles. These suit managers, non-developers, and cloud or operations staff. Later skills are hands-on. Practitioners work in Azure Machine Learning Studio and AutoML, build no-code regression and classification pipelines in the Designer, and train Custom Vision models. They also call Cognitive Services with Python, PowerShell, and SDKs, run services in Docker containers, and consume a custom Form Recognizer model through its REST API. Governance is built in. Content on responsible AI, handling facial and other sensitive data, and Form Recognizer billing helps teams set guardrails and anticipate costs before adopting AI tools. The course runs about 19 hours across 20 skills. Plan for developers to take the full path while non-coders focus on concepts and Designer pipelines, and use team reporting to track progress and completion. Microsoft retired the AI-900 exam on 30 June 2026, so the course is assigned today for the Azure AI baseline it builds. To see how it fits your team's training plan, Book a Demo.
Trevor Sullivan, Knox Hutchinson
Capability ladder
AI & Machine Learning Certifications by Level
The most popular AI & Machine Learning courses at each certification level — from first credentials for new team members through expert and specialty tracks.
1
Certification tier
Tier 1 — Entry Certifications
First credentials for new team members and cross-trained roles — the on-ramp before vendor specialization.
Entry
Microsoft Azure AI Fundamentals (AI-900)
Business units are already asking IT about AI, but many teams lack a shared vocabulary for what Azure AI services do, what they cost, and how to use them responsibly. This Microsoft Certified: Azure AI Fundamentals (AI-900) training gives IT Directors and Team Leads a common baseline before AI projects reach production. The early skills cover machine learning workloads, computer vision, natural language processing (NLP), and Microsoft's six responsible AI principles. These suit managers, non-developers, and cloud or operations staff. Later skills are hands-on. Practitioners work in Azure Machine Learning Studio and AutoML, build no-code regression and classification pipelines in the Designer, and train Custom Vision models. They also call Cognitive Services with Python, PowerShell, and SDKs, run services in Docker containers, and consume a custom Form Recognizer model through its REST API. Governance is built in. Content on responsible AI, handling facial and other sensitive data, and Form Recognizer billing helps teams set guardrails and anticipate costs before adopting AI tools. The course runs about 19 hours across 20 skills. Plan for developers to take the full path while non-coders focus on concepts and Designer pipelines, and use team reporting to track progress and completion. Microsoft retired the AI-900 exam on 30 June 2026, so the course is assigned today for the Azure AI baseline it builds. To see how it fits your team's training plan, Book a Demo.
Trevor Sullivan, Knox Hutchinson
Entry
Microsoft AB-900
This Copilot and Agent Administration Fundamentals (AB-900) training prepares you to earn a valuable Microsoft AI certification. Keep your Microsoft 365 admin skills relevant and valuable in the age of AI. Learn how to enable your organization with Copilot, and roll out AI agents without compromising security, identity, or data protections. Microsoft expert James Conrad guides you through M365 governance, AI readiness, and modern IT management, so you can lead AI adoption with confidence and pass the AB-900 exam.
James Conrad
Entry
AWS AI Practitioner
Make AI work for you with this AWS Certified AI Practitioner course (AIF-C01), designed for beginners, business leaders, data analysts, and aspiring machine learning engineers. You’ll build a strong foundation in the fundamentals of artificial intelligence and machine learning, using AWS services like SageMaker, Bedrock, Comprehend, Rekognition, Lex, and more. You'll also learn prompt engineering, model evaluation, and responsible AI practices so non-technical teams can confidently guide AI initiatives and adoption. After you complete this AWS Certified AI Practitioner course, you’ll be fully prepared to pass the AIF-C01 exam and earn a valuable foundational AI certification.
Jonathan Barrios
Entry
AI & Machine Learning
This AI and Machine Learning course helps you build reliable AI systems and deploy usable AI/ML workflows in any job. You’ll understand how models learn, build machine learning models, and master rigorous evaluation and pipeline design. The course lays out ML fundamentals like regression and tensors, then builds toward real LLM applications, focusing on hallucination reduction and retrieval-based apps. You’ll integrate latency awareness to ensure testable, grounded outputs, learning how modern AI scales in production using tools like PyTorch, TensorFlow, and LangChain. By the end, you’ll have a foundation in AI workflow thinking, equipping you with skills like ML fundamentals, RAG, evaluation, and AI security to consistently build reliable applications.
Jonathan Barrios
Entry
PCEI Certification
Turn Python basics into AI skills that pay. This PCEI certification training prepares you for the Entry-level AI Specialist with Python certification, perfect for AI beginners who want to level up. This PCEI certification training will show you how to analyze datasets, implement basic AI logic, and evaluate the capabilities and limitations of AI models. You’ll write real AI-style algorithms in Python, work with small datasets, and explore machine learning, neural networks, and generative AI at a practical level. Most importantly, you’ll build portfolio-ready projects you can showcase for employers, all while preparing for the Python AI certification exam.
Shaun Wassell
2
Certification tier
Tier 2 — Associate Certifications
Core role credentials — the level most teams standardize on for day-to-day operations.
Associate
AWS Machine Learning Engineer Associate (MLA-C02)
Many ML projects stall between experiment and production because the team lacks the AWS operations skills to run them safely. This course gives IT Directors and Training Managers a structured way to close that gap. It treats ML engineering mainly as MLOps, much of it the DevOps and SysOps work your infrastructure staff already know, applied to SageMaker and Amazon Bedrock. DevOps engineers, system administrators, and cloud practitioners learn to secure ML environments with IAM and network isolation instead of quick-setup defaults. They also learn to clean messy source data with AWS Glue and Glue DataBrew and to train models with SageMaker built-in algorithms, JumpStart, and Script Mode. The course then covers automating workflows with SageMaker Pipelines, monitoring for bias and drift, and controlling training spend with Spot instances and SageMaker Neo. Later skills extend into foundation models, retrieval augmented generation, and agentic workflows on Amazon Bedrock. Each skill includes exam-style validation questions aligned to the AWS Certified Machine Learning Engineer - Associate (MLA-C02) objectives, plus provided notebooks for hands-on work in each learner's AWS account. Team reporting shows per-learner progress and completion, with exports Training Managers can use as evidence while planning a certification push.
Scott Pletcher
3
Certification tier
Tier 3 — Professional Certifications
Advanced credentials for the engineers who own design, escalation, and complex environments.
Professional
Microsoft AB-730
Stop wondering how AI fits into your workday and start leading the transition. This certification-aligned Microsoft AI Business Professional (AB-730) training transforms you into a power user who implements AI effectively in your work, and helps you earn an in-demand Microsoft AI certification. You’ll use Copilot to draft documents, analyze information, run meetings, and collaborate effectively across Microsoft 365. After taking this Microsoft AB-730: AI Business Professional training, you’ll understand how Copilot works in different apps, how to write effective prompts, and how to use agents responsibly. This course also covers AI fundamentals, privacy, security, and compliance, so you can use AI confidently and appropriately in real business environments.
Simona Millham
Professional
Microsoft AB-731
Lead AI projects without writing a single line of code. This Microsoft AI Transformation Leader course is designed to help you pass the AB-731 certification exam, and earn your seat at the technical table. Prove you can lead real AI initiatives across your organization, map Microsoft and Azure services to real business problems, build AI strategies that avoid security, cost, and governance pitfalls. The Microsoft AI certification focuses on AI business value, adoption planning, and enterprise best practices so you can collaborate with technical teams, and make smart decisions about Microsoft AI investments.
Simona Millham
Professional
AIP-C01
This expert-level AWS AI training is designed to help you pass the AWS Certified Generative AI Developer - Professional exam (AIP-C01). The course focuses on building, deploying, and operating production-ready generative AI applications using AWS AI services. You’ll work with practical architectures like RAG and agentic AI, manage prompts, and learn how to optimize GenAI systems for cost, performance, and responsible use. Although it's not required, you might want to start with the AWS Certified Data Engineer or Machine Learning Engineer Associate certifications before you attempt this AWS Certified Generative AI Developer - Professional course.
Scott Pletcher
Professional
Claude Certified Architect – Foundations (CCAR-F)
AI-assisted development raises a governance question for IT leaders: how do you capture the productivity of Claude Code and the Claude API without letting one-off prompts become unreviewable production risk? This intermediate course gives development teams a shared, repeatable approach to building with Claude. Built for software engineers, backend developers, and system architects who already work with APIs, the course moves from Claude Code setup and context control through API foundations, prompt evaluation, tool use, RAG and vector search, and MCP servers. It closes with agent workflows and a capstone agentic multimedia article system. Along the way, teams practice planning modes, success criteria, custom commands, hooks that block sensitive information, test datasets and graders, and human approval steps that keep AI-generated changes scoped and auditable. For Team Leads, the result is consistent practice: common tasks such as dependency audits, test writing, and pull request summaries become repeatable commands instead of ad hoc prompts, and defects surface during evaluation rather than after release. With 40 skills across 32.4 hours, Training Managers can assign the course in sections over several weeks, use CBT Nuggets Playlists to sequence skills by role or project phase, and rely on Team Reporting so IT Directors can track progress across assigned learners.
Jonathan Barrios
Professional
Azure AI Apps and Agents Developer Associate (AI-103)
This AI-103 course gives your Azure development team one common method for securely building with Microsoft Foundry. Built for Python-proficient Azure developers and engineers, the training covers Foundry platform foundations and automated AI infrastructure, generative apps with the Foundry SDK, and retrieval, grounding, and RAG pipelines with document extraction. It also covers single-agent builds and multi-agent orchestration with observability, then text, speech, image, and video workloads with visual safety. By the end of the course, your team will know how to secure, govern, and monitor AI workloads. Assign this course as part of an AI proficiency Playlist, and use Team Reporting to track per-learner progress and completion as your team prepares for the AI-103 exam.
Knox Hutchinson
4
Certification tier
Tier 4 — Expert & Specialty Certifications
Expert tracks and specialty credentials for architects and niche platform owners.
Expert
DataAI
Get hands-on with AI, MLOps, and machine learning in this CompTIA DataAI (DY0-001) training for professional data scientists. Formerly known as CompTIA DataX, this course helps you learn core data science skills, including statistics, data modeling, and machine learning. Learn how to deploy deep learning models, build pipelines, and apply computer vision in real-world environments. This online DataAI training prepares you to support advanced data science workflows and pass the CompTIA DataAI certification exam. Train for the future of IT with cutting-edge AI skills.
Jonathan Barrios
Recently added
Newest Releases
The latest AI & Machine Learning training added to the catalog — new courses land here within a day of publication.
Vendor coverage
AI & Machine Learning Training by Vendor
The vendors behind the ai & machine learning catalog — each vendor page maps its full certification landscape.
Entry
Professional
Professional
Professional
Professional
Entry
Professional
Hands-on AI & Machine Learning practice
Human-led training is the point: engineers practice real skills with expert guidance, not just video playback.
Why CBT Nuggets
How CBT Nuggets is different for AI & Machine Learning teams
The platform features IT directors comparing training platforms ask about most often.
Full catalog
More AI & Machine Learning Courses
Everything else in the AI & Machine Learning catalog beyond the curated sections above.
Taught by IT professionals
AI & Machine Learning training your team learns from
Built and taught by engineers with decades of experience running real-world IT infrastructure — not crowdsourced contributors.
Trevor Sullivan
DevOps & Cloud Engineering
Shaun Wassell
Web Development & Programming
Team outcome
Faster ramp for new hires
Curated playlists and team assignments make onboarding repeatable instead of relying on ad hoc shadowing and tribal knowledge.
What the team gets: Scale your team, backfill a role, or standardize skills across distributed engineers.
Frequently asked questions about AI & Machine Learning training
Common questions IT directors ask when evaluating AI & Machine Learning training for their team.
Who should take AI training?
Professionals using AI tools, IT leaders setting policy, HR/legal stakeholders managing risk, and developers adopting AI-assisted coding.
Does this include Microsoft Copilot?
Yes. The catalog includes AI Essentials with Microsoft Copilot.
How should managers assign AI training?
Assign productivity paths broadly, compliance paths to leaders and policy owners, and AI coding/security paths to developers.
How do you measure ROI on AI training?
Track safe adoption coverage: who can use AI productively, who understands compliance constraints, and who can apply AI coding tools responsibly.
Can CBT Nuggets support AI training for teams?
Yes. Managers can assign AI readiness paths by role and track completion across the organization.