AI Training Roadmap

Explore our AI curriculum two ways — by catalog tier or by learner pathway. Tap any course to see its full outline.

AI course catalog roadmap A tiered roadmap of AI courses grouped into Tier 1 foundations, Tier 2 applied and specialized, and Tier 3 differentiation, with a highlighted flagship bootcamp. AI course catalog Three tiers, with a flagship bootcamp Tier 1 — foundations & broad demand GenAI fundamentals For business & non-technical Python foundations On-ramp for new developers Prompt engineering Practical LLM use AI for developers Assistants, APIs, features Building LLM apps RAG, APIs Intro to AI agents Reasoning loop, tools, memory AI-assisted development ("vibe coding") done right Drive AI coding tools, review & test output, know the limits ★ Flagship — AI app bootcamp (Option A) 2 weeks · standardized reference app · week 2 = bring-your-own problem · 30/60/90 sustainment Tier 2 — applied & specialized Provider SDKs & APIs OpenAI, Anthropic, Google LangChain / LangGraph Orchestration framework Advanced agents Multi-agent orchestration LlamaIndex & RAG Indexing & retrieval deep dive Vector DBs Pinecone, pgvector ML foundations Classical ML, eval MLOps / LLMOps Deploy, monitor, tune Tier 3 — differentiation, niche & enterprise AI governance & risk EU AI Act, NIST AI RMF Data engineering for AI Pipelines, quality, features Hugging Face ecosystem Transformers, open models Role-specific tracks HR, finance, legal, health Vendor & product courses Azure, AWS, GCP, MS Copilot AI security Prompt injection, defenses Tap any course to expand it into a module outline.