About the Seminar
Most AI tutorials stop at the "Hello World" of conversational bots. This intensive training takes you far beyond the basics, equipping you with the practical skills to build, optimize, and scale production-ready AI agents using LangChain.
Whether you are transitioning from a weekend side-project to an enterprise-grade system, this workshop provides the real-world patterns, architecture, and techniques needed to engineer robust AI solutions.
Who Is This Seminar For?
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Experienced Backend and Full-Stack Developers proficient in TypeScript
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AI and LLM Engineers looking to scale prototypes into production-ready systems
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Software Architects designing enterprise-grade, multi-agent AI solutions
Key Topics
Module I: The Fundamentals
- The Agent Loop: Understanding autonomous action, observation, and context.
- Core Mechanics: Mastering model configuration, system prompts, and enforcing structured outputs.
- Equipping Your Agent: Defining, configuring, and utilizing tools efficiently.
- State & Multimodality: Managing short-term memory (AgentState) and handling multimodal messages (PDFs, images, etc.).
Module II: Beyond the Basics
- Mastering Middleware: Implementing Node-style and Wrap-style hooks for tracking, transforming outputs, and early termination.
- Security & Context: Applying PII detection strategies, setting up operational guardrails, and mastering Context Engineering to provide the LLM exactly what it needs.
- Advanced Workflows: Dynamic model and tool selection, RAG architecture integration, and implementing Human-in-the-Loop for critical decision-making.
Module III: Production-Ready Systems
- Multi-Agent Architecture: Designing complex systems using Subagents, Supervisors, Routing, and Handoff patterns to distribute tasks.
- Protocol & Scale: Utilizing the Model Context Protocol (MCP) to expose external APIs and resources to your models.
- Real-World Operations: Handling infinitely long conversations, advanced prompt engineering, and mastering Traditional Engineering practices for deployment and system observability.
What to Expect
By the end of this workshop, you will walk away with a comprehensive, deep understanding of how to architect and build resilient, production-ready AI agents using a real-world, industry-standard framework.
Hands-on
During the workshop, participants will implement a fully functional multi-agent application based ib the workshop content.