Move from passive LLM usage to building autonomous agentic systems.
Design and build intelligent AI systems using LLMs, RAG architectures, and autonomous agent workflows capable of executing complex tasks and business automation pipelines.
Understand the mechanics of LLMs, their architectures, and master prompt engineering techniques.
Connect LLMs with external tools via function calling and structured outputs. Build a tool-enabled assistant.
Learn design patterns for AI products, including prompt chaining, guardrails, and output validation.
Build Retrieval-Augmented Generation systems. Design knowledge bases and implement semantic search.
Create ingestion pipelines. Master text chunking and embedding generation from PDFs and websites.
Optimize retrieval with hybrid search and prompt grounding. Build a production-ready research assistant.
Implement agent architectures with planning and reasoning. Master tool-use in autonomous agents.
Build decision loops and task planning systems. Develop an autonomous research agent.
Implement short-term and long-term memory using vector databases for context-aware agents.
Design role-based agents (Planner, Researcher, Writer) that communicate to solve complex tasks.
Orchestrate AI workflows using LangGraph. Build event-driven pipelines for business automation.
Integrate AI agents with SaaS tools for automated reporting, lead qualification, and document processing.
Implement monitoring, error handling, and safety guardrails for robust production deployment.
Master token optimization, caching strategies, and response evaluation for efficient agent systems.
Build and showcase a complete AI agent system. Present your autonomous business analyst or researcher.
Design systems that think, plan, and execute autonomously.
Apply for Track B