Building Your First AI Agent with LangChain

Building AI agents is one of the most valuable and in-demand skills of the decade. As AI systems move beyond single responses to autonomous decision-making, agents are becoming central to real-world applications. Take your AI skills to the next level by building your first intelligent agent with LangChain. This hands-on workshop guides you from the fundamentals of agent architecture to practical techniques for planning, tool usage, and memory, enabling you to create agents that reason, act, and solve tasks with accuracy and adaptability.

Key Takeaways:

• Understand what an AI agent really is – how agents differ from simple LLM prompts, and the core building blocks (LLM, tools, memory, and control flow).

• Learn the LangChain agent architecture – a simplified mental model of how planning, reasoning, and tool execution work together in real systems.

• Build a working AI agent from scratch – step-by-step, using LangChain to create an agent that can decide actions and call tools dynamically.

• Explore key agent capabilities – including tool usage, short-term memory, and basic planning patterns used in production-grade agents.