From prompt engineering to agentic systems—develop the complete skill set to build AI applications that scale, with an AI tutor by your side.
Overview
Syllabus
- LLM Application Fundamentals with LangChain
- Learn to build conversational LLM applications — with reliable structured output, persistent conversation history, and real-time streaming.
- LLM Application Evaluation with LangSmith
- Learn to systematically measure and improve LLM application quality.
- Prompt Engineering with LangChain
- Learn to write effective prompts and systematically improve them through evaluation rather than intuition.
- Retrieval-Augmented Generation with LangChain
- Learn to build knowledge-grounded LLM applications that retrieve relevant information from structured and unstructured sources before generating responses.
- LLM Tool Use with LangChain
- Learn to extend your LLM applications with external tools, so your applications can retrieve live data, perform computations, and take real-world actions.
- Agentic Systems with LangGraph
- Learn to build agentic systems using LangGraph.
Taught by
Muhammad Atef, Yusuf Saber, Saher El-Neklawy, and Yassin Alabdeen
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