Paths training
AI training courses
Standardize AI capability across your team with expert-led, on-demand training — every course below is current and team-ready.
AI
AI Agentic Coding
This AI coding course shows you how to code effectively with agentic coding, using Cursor AI, Claude Code CLI, GitHub Copilot, Grok 4, and ChatGPT as reliable partners. Examine prompt engineering for writing code, debugging with Claude, Cursor AI coding workflows, and turning specs into working programs. If you’re serious about practical, safe, and effective coding using AI agents, this course gives you the tools to start making apps and automations that provide real value.
38 videos6 skills5hAI
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.
30 videos5 skills4hAI
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.
4 skills3hAI
AI for Business Leaders
This AI for business course has practical tools for evaluating, governing, and scaling AI initiatives as an executive. You’ll explore different frameworks: when to go with automation vs. human oversight, how to measure the ROI of using AI in 30-60-90 days, and how to balance the risks and rewards that come with adoption. Most leaders deploy AI without a strategy, leading to wasted time, compliance issues, and security risks. Get back into the drivers seat with this expert-led AI training for business leaders.
41 videos6 skills5hAI
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.
33 videos6 skills5hAI
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.
41 videos7 skills6hAI
Prompt Engineering
AI is only as good as the prompts you give it. Learn how to engineer prompts the right way, and get better results from LLMs like ChatGPT, Gemini, and Claude. In this course for everyday AI users, you’ll learn prompt engineering best practices that turn AI from a guessing game into a reliable tool. Lay down guardrails, reuse AI prompt templates, and shape responses for tone, structure, and audience. Compare ChatGPT, Gemini, and Claude to discover what each model does best. By the end of this training, you’ll get more accurate outputs, and walk away with an AI toolkit you can start using on the job. Get accurate content, save time, and safely use AI in your natural flow of work.
46 videos6 skills5hAI
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.
36 videos6 skills5hAI
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.
197 videos40 skills32hAI
Data Leakage Prevention with LLMs
Teams deploying LLM-powered apps handle sensitive data across every layer. This course on Data Leakage Prevention with LLMs gives security engineers and platform teams the controls to detect, classify, and block exposures before they reach a model. Security engineers, IT practitioners, developers and platform teams will learn to detect and classify sensitive data, redact it before it reaches a model, and apply permissions to RAG retrieval. They will also learn to test for prompt injection, secure multi-turn conversations and AI agents, filter outputs, and protect AI logs. Once your team has completed this course, they will have designed an end-to-end LLM data protection system for the organization, and be ready to respond to an AI data leak with a defined process. About 11.5 hours per learner, this course fits into your team's flow of work, so they can learn as they go. Training Managers can assign the course through Playlists and track completion with Team Reporting, giving them full visibility into team progress.
65 videos15 skills11hAI
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.
166 videos30 skills27hAI
Secure AI Adoption and Deployment
Most development teams can connect a model API and produce an impressive demo in an afternoon. The risk for IT Directors starts when that prototype becomes a production system without an architecture, evaluation process, or security review behind it. This course treats secure AI adoption as an engineering problem: the incidents that expose data or break systems usually trace back to the surrounding system, not the model. Built for Python developers and entry-level AI engineers, including traditional software engineers without a machine learning background, the course walks through one AI application assembled skill by skill. Engineers add retrieval, tools, agents, evaluation, guardrails, security controls, and observability to that same system. They learn to separate probabilistic model behavior from deterministic application controls and to run a documented go/no-go architecture review before rollout. For Team Leads and Training Managers, the 16 modular skills (12.5 hours) fit a staged team plan. Engineers with AI experience can skip foundational segments and focus on evaluation, security, and production operations. The structured review framework, covering trust boundaries, permission flows, and canary releases, also supports internal change control and audit readiness.
72 videos16 skills12hAWS
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.
142 videos19 skills16hAWS
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.
188 videos25 skills25hAWS
AWS Machine Learning
This AWS Certified Machine Learning Engineer - Associate (MLA-C01) course is designed to get you comfortable with the full lifecycle of machine learning workflows on AWS. You’ll learn how to prepare data, train models, and deploy them securely in a professional environment. With AWS expert Scott Pletcher as your guide, you’ll explore key AI and ML services like Amazon SageMaker and AWS Glue, and see how to apply them in your everyday work. You’ll get hands-on with tools that simplify, accelerate, and enhance the way you use the AWS ecosystem. By the end, you’ll be ready to earn a career-advancing credential from the world’s cloud and AI powerhouse: the AWS Certified Machine Learning Engineer – Associate certification. Take the MLA-C01 exam with confidence and move forward in your machine learning career.
202 videos24 skills24hAzure
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.
109 videos14 skills12hAzure
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. Unlimited AI-900 practice exams let Team Leads confirm readiness before scheduling exams, and team reporting tracks progress and completion. To see how AI-900 fits your team's training plan, Book a Demo.
125 videos20 skills19hCompTIA
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.
309 videos38 skills32hData Analytics
Deep Learning
This Deep Learning course equips junior data scientists with the skills to implement deep learning solutions for image data, text classification, and time-series predictive modeling. Learn to use TensorFlow for computer vision (CV), natural language processing (NLP), and explore Large Language Models (LLMs). Ideal for onboarding new data scientists or as a data science reference resource.
281 videos38 skills34hData Analytics
TensorFlow Developer
Dive into the emerging field of MLOps and create custom AI and machine learning models in this TensorFlow course. This Professional TensorFlow training prepares you to design, deploy, and optimize models using the popular open-source ecosystem. Use this machine learning engineer course to gain valuable TensorFlow AI skills, practical familiarity with machine learning engineering, and the ability to build your own custom machine learning TensorFlow solutions.
340 videos45 skills37hEnd User Productivity
Microsoft Copilot for M365 End Users
Rolling out Microsoft 365 Copilot is easy. Getting consistent, responsible use across departments is harder. When employees guess at prompts, skip source checks, or don't understand licensing limits, the result is uneven output, rework, and unclear expectations around AI and work data. This beginner course gives business users, admins, and the IT practitioners supporting a rollout a shared, practical approach to Copilot in Word, Excel, PowerPoint, Outlook, Teams, OneDrive, and the Microsoft 365 Copilot app. Learners practice a repeatable prompt framework (context, goal, source, and expectations), draft and refine documents and presentations for a specific audience, summarize and locate information in Outlook and Teams, and get started with Copilot agents. They also learn why generative AI responses vary and why outputs need review. At 7.8 hours across 10 skills, the course supports phased enablement, roughly one app or workflow per session. Guided challenges, such as building a team responsible-use sheet, and quiz-style checks reinforce each skill. Training Managers can assign it through CBT Nuggets Playlists and use Team Reporting to track completion as Copilot reaches each department.
54 videos10 skills8hMicrosoft 365
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.
108 videos21 skills18hMicrosoft 365
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.
35 videos7 skills6hMicrosoft 365
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.
42 videos8 skills7hPython
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.
253 videos48 skills39h