AI Training Built Around Where Your Team Is Starting From

AI is the fastest-moving subject in our catalog, and it means something different depending on who’s asking. A developer wants to build agents and RAG pipelines. A manager wants to know what’s safe to roll out and what isn’t. A legal team wants to use Copilot without creating risk. We teach all of it, and we don’t teach it the same way twice.

Every course below can run as a standalone class, exactly as outlined. Just as often, we build something in between — pulling modules from two or three courses into a single custom engagement, so your team spends training time only on what they don’t already know.

How We Customize AI Training to Fit Your Team

Off-the-shelf course outlines are a starting point, not a constraint. Here’s how we typically adjust an AI engagement once we understand your team:

We match the format to the goal. A team that needs a fast, focused skill — prompting, a specific coding assistant, RAG basics — often fits better in one of our half- or full-day AI-Micro-Credentials than in a multi-day course. A team building toward a production AI system is better served by the full AI Bootcamp track.

We separate developer and business tracks, or blend them. Our core AI curriculum has a clear developer path — AI for Developers through Building LLM Applications and AI Agents — and a separate business and leadership path built around Generative AI Essentials, prompting, governance, and risk. Mixed audiences can get a shared foundation with breakout modules for each group.

We skip what your team already has. If your developers already ship production code with an AI coding assistant, we don’t spend a day on the basics — we start at Advanced AI Agents or RAG Deep Dive and reclaim that time for harder problems.

We go deep on a single tool when that’s what’s in front of your team. If your organization has standardized on Claude, Copilot, or Gemini, our tool-specific micro-credentials and immersive programs teach that tool directly rather than AI in the abstract.

We align to hands-on outcomes, not just concepts. Every course below is built around what participants can do afterward — ship a feature, evaluate a RAG system, review an AI vendor contract — not just what they can describe.

Tell us your team’s current skill level, the outcome you’re training toward, and how many days you have, and we’ll tell you which modules actually belong in the room.

AI Course Roadmap

We organize our AI training into three formats, shown below. The roadmap is a typical progression, not a mandatory one — most engagements start with a Micro-Credential or a foundational developer/business course, then build toward the advanced AI curriculum or an Immersive flagship program as projects demand.

Browse All AI Courses

AI-Micro-Credentials

Focused, single-topic sessions that run in half a day to a full day — the fastest way to build one specific AI skill.

• Beginner’s Guide to Generative AI — foundational concepts, no technical background required
• Beginner’s Guide to Agentic AI — what AI agents are and how they work
• Beginner’s Guide to RAG — grounding AI responses in your own data
• Advanced RAG — hybrid retrieval, reranking, and evaluation
• Prompt Engineering 101 — a repeatable approach to writing effective prompts
• AI Ethics and Bias — recognizing and mitigating bias in AI systems
• NLP Fundamentals — the language-processing concepts behind modern AI
• Introduction to Vector Databases for Developers — embeddings and semantic search basics
• Coding with Claude — AI-assisted development with Claude
• Coding with GitHub Copilot — AI-assisted development with Copilot
• Coding with Gemini Code Assist — AI-assisted development with Gemini
• Supercharge Your Productivity with Claude — everyday workflows with Claude
• Supercharge Your Productivity with OpenAI — everyday workflows with ChatGPT and the OpenAI tools
• Supercharge Your Productivity with Gemini — everyday workflows with Gemini

AI — Developer Track

Foundational to advanced courses for developers building AI-powered applications, agents, and infrastructure.

• AI for Developers — integrating LLMs into applications for the first time
• AI Basics for Developers — foundational OpenAI API skills
• Fast-Track to Generative AI Using OpenAI — intensive three-day chatbot build
• Python OpenAI API for Developers — production-grade OpenAI integration in Python
• Building LLM Applications — complete, production-minded LLM applications
• Vibe Coding: AI-Assisted Development — getting the most from AI coding assistants
• Introduction to AI Agents — how AI agents plan, use tools, and act
• Advanced AI Agents — production-grade, multi-agent systems
• AI SDKs & APIs — working directly with provider SDKs
• LangChain & LangGraph — orchestrating multi-step and agentic workflows
• LangChain and LlamaIndex — chaining LLMs with external data sources
• The Hugging Face Ecosystem — open models, datasets, and the transformers library
• Machine Learning Foundations — core ML concepts for AI practitioners
• Data Engineering — building the pipelines that feed AI systems
• Vector Databases — embeddings, indexing, and semantic retrieval
• Vector Databases and Semantic Search — implementing and optimizing vector search
• RAG Deep Dive — advanced retrieval, reranking, and evaluation
• Advanced Retrieval-Augmented Generation (RAG) — three-day deep dive into advanced RAG architectures
• Introduction to Graph Databases Using Neo4j — graph algorithms, RAG, and recommendation engines
• MLOps & LLMOps — deploying and operating AI systems in production
• AI Bootcamp (Flagship Capstone) — end-to-end capstone project
• Python Foundations — the Python skills AI development builds on
• AI Fluency: Practical Copilot for Everyday Users — practical Microsoft 365 Copilot fluency for daily workflows

AI — Business & Leadership Track

Courses for managers, executives, and non-technical professionals who need to use, oversee, or govern AI responsibly.

• Demystifying Generative AI — how generative AI works and where it applies
• Generative AI Essentials for Business — a practical, one-day foundation for any business professional
• Prompt Engineering — getting reliable results from AI tools at work
• Effective AI: Mastering Prompts and Productivity Techniques — measurable productivity gains from better prompting
• AI Governance & Risk — policy, oversight, and risk management for AI adoption
• AI Security — the threats unique to AI systems and how to defend against them
• AI Fluency for Legal Professionals — practical Copilot fluency for in-house legal teams

AI-Immersive Flagship Programs

Multi-week, project-driven programs for organizations building deep, lasting AI capability.

• AI Fluency for Developers — an agentic engineering track for high-agency developers
• Applied AI Engineering Academy — a production deployment academy with real client simulation
• Agentic AI Accelerator — an accelerator for building multi-agent systems

Not sure where to start? See our Python training roadmap if your team’s AI work starts with Python fundamentals, or contact us and we’ll help you build the right path.