An advanced, workflow-specific course for litigation attorneys, paralegals, and in-house counsel. Go deeper than the basics with AI-assisted e-discovery, deposition prep, case law synthesis, motion and brief drafting, expert witness analysis, and trial preparation — with a strong focus on US/UK ethics, FRCP/CPR compliance, and hallucination prevention.
4 módulos • 10 aulas
Master the principles, architecture, and core components required to build production-ready RAG applications. Learn to create custom knowledge chatbots using Next.js, Supabase with pgvector, and Google's Gemini API. Perfect for JavaScript/Next.js developers who want to integrate advanced AI features.
Master database internals, indexing, and schema design for modern AI applications. Learn how SQL databases power production AI systems at TikTok, Uber, and Netflix. Build RAG systems, feature stores, and high-performance pipelines with PostgreSQL and pgvector.
Learn how lawyers, paralegals, and legal assistants can leverage AI for legal research, contract drafting, document summarization, case preparation, and legal writing while navigating ethical obligations and disclosure requirements.
An advanced, hands-on course for buy-side and sell-side equity research analysts. Use AI to analyze earnings calls and 10-Ks, build a sector coverage thesis, construct and stress-test comparable company analysis, source and red-team DCF assumptions, draft equity research reports, build sector-coverage assistants, and stay inside MNPI, Reg FD, and research-independence lines.
Learn how to use AI tools to save time on lesson planning, create engaging materials, automate grading, support diverse learners, and navigate AI ethics in education. Practical strategies you can use in your classroom tomorrow.
Build autonomous AI agents with Python using LangChain and LangGraph. Learn tool calling, stateful workflows, RAG-powered agents, multi-agent systems, and production deployment. From the ReACT pattern to a full customer support agent capstone.