Generative AI curriculum

Three tracks with 170 lessons each. The opening lessons in each track embed Quanta GenAI's canonical long-form authoring (prompts, RAG, alignment, multimodal stacks, Ops). The remainder are repeatable drills with prompt templates, eval YAML, RACI stubs, and token-economics scratchpads.

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170 lessons

Basic

Orient teams to LLMs, diffusion, grounding, prompting, safety scaffolding, multilingual caveats, and deployment pilots.

Open Basic track →
170 lessons

Intermediate

RAG engineering, embeddings, adapters, autonomous agents with guardrails, vector stores, multimodal fidelity, Observability KPIs.

Open Intermediate track →
170 lessons

Advanced

Red teaming literacy, benchmarking with scepticism, privacy pressure tests, multilingual depth, roadmap storytelling.

Open Advanced track →