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Curriculum
Every module ships with a teacher guide, student worksheet, scenarios packet, quiz, answer key, and an in-browser presenter. Free preview available on the orientation modules of every track.
Career path
Showing 7 of 42 modules in AI Fluency for AI Engineer. Clear filters
Crack open the box. Tokens, embeddings, attention, training vs. inference, context windows, and why the model hallucinates - explained at a level a 10th grader can teach back.
180 min · foundational
View module ->The single highest-leverage skill in AI work. Learners use the C.R.I.S.P. prompt frame, system vs. user roles, zero-shot vs. few-shot, format control, and the iteration loop that separates a weak prompt from a useful one.
180 min · foundational
View module ->Hands-on tour of the frontier: GPT, Claude, Gemini, and the open-weight challengers. Students compare strengths, context windows, pricing, safety behavior, and learn to pick the right model for the job instead of defaulting to whatever app they opened first.
180 min · intermediate
Install Ollama or LM Studio, download Llama / Mistral / Qwen / Phi, and run a real LLM on a laptop with the network disconnected. Learners move from consuming hosted models to operating a local one.
240 min · intermediate
View module ->From chatbot to product. RAG (retrieval-augmented generation) so the model has actual sources, function calling and MCP so the model can use tools, and agents that loop. Plus the honest conversation about when agents go off the rails.
180 min · intermediate
View module ->Image generation, voice cloning, video synthesis, deepfakes, and the cryptographic response: C2PA, watermarking, and provenance. How multimodal systems work — and how they fail.
180 min · intermediate
View module ->Put it all together. Each student ships a working AI tool that solves a real problem in their life: a local-LLM study buddy, a prompt-library product, a RAG over their notes, or an image-gen workflow. Disclose, verify, contribute - graded for real.
240 min · applied
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