December 9, 2025, 1:00 pm - 2:00 pm ET
“Your LLM App Isn't Failing Because of the Model. It's Failing Because of the Context.”
Context Engineering is the discipline of designing the complete information payload (i.e., memory systems, tool integrations, retrieved data) that feeds the language model at inference time. Most agent failures are not model failures - they are context failures.
Join us to learn the basics of Context Engineering and discover how to design dynamic systems that feed the model the right information, in the right format, at the right time.
Your LLM-powered applications must be reliable, accurate, and scalable. From sophisticated agents and production-grade Retrieval-Augmented Generation (RAG) systems, the quality of the output depends entirely on the context you provide, not just the prompt.
What You'll Experience
In this practical session, you will gain an understanding of:
- The Anatomy of Context: Deconstructing the layers of context that can most effectively enhance LLM response quality.
- RAG 2.0: Design bulletproof retrieval pipelines that eliminate irrelevant data injection.
- Context Memory & Efficiency: Practical strategies like summarization and ranking to manage the LLM's finite context window, reducing latency and cost while maintaining conversational flow and high relevance.
- The Power of Tool Use: Defining and integrating external tools (MCP, APIs, databases) into your agent's context, giving the LLM the capability to take actions with real time data.
- A Vendor-Agnostic Framework: Leverage context engineering effectively across platforms.
Audience
- AI/ML engineers or data scientists
- Backend or full-stack developers
- Technical leads
- Developers building LLM agents and RAG systems
About the presenter:
Manu Mulaveesala is a veteran technical instructor with more than a decade of consulting, development, and teaching experience in Artificial Intelligence, Data Science, and Machine Learning. During this time, he has taught more than 5,000 students spanning more than 100 organizations, 20 countries, and varying technical backgrounds. Manu provides a dynamic and adaptive learning environment and enjoys tailoring trainings to clients' real-world projects and goals.
