Plain-English courses on LLMs, RAG, and agents, in-depth video training, and a guided, governance-first playbook that turns what you learned into a real project.
Self-paced courses from LLM foundations to deployment: RAG, agents, the math, and the Python behind it all, in plain English.
Browse courses →Two in-depth training videos are coming soon — AI Foundations for Working Professionals and Agentic Engineering.
Coming soon →Turn an idea into a plan: define use cases, KPIs, and a RASCI matrix before a single line of code. Governance first.
Pick an architecture, Agentic (CrewAI + Gemini) or RAG (Langchain + NeonDB pgvector), and follow an end-to-end playbook to launch.