Context Engineering: Building Agents Beyond Conversations

Overview Artificial Intelligence is rapidly evolving from simple chat-based interactions to intelligent systems capable of performing real tasks. This event introduces students to the concept of Agentic AI and how modern AI systems are built using context, tools, and memory. This is not a traditional lecture. The session is designed to be practical and implementation-focused, where participants will explore how to build a real-world AI agent. What You Will Learn Introduction to Agentic AI Difference between Prompt Engineering and Context Engineering Core components of AI agents: Tools, Memory, and Environment Building a Customer Support AI Agent using LangChain (hands-on) Automating repetitive workflows using n8n Future trends in AI systems and automation Speaker Syed Ali Rizvi AI Engineer and Co-Founder of TalkGenie AI, with experience in building real-world AI systems and agent-based solutions. His focus is on practical implementation and helping students move from theory to real-world applications. Who Should Attend Students interested in AI and software development Beginners with basic knowledge of LLMs and prompting Anyone looking to move from using AI tools to building AI systems Prerequisites Laptop (mandatory) IDE installed Python installed Internet connection Basic understanding of LLMs and prompt engineering API keys (OpenAI or similar) Important Note This is a hands-on session. Participants are expected to bring their laptops and actively follow along during the implementation.