Master AI Agent Development

AI Agent Development Course

futuristic atmosphere of collaboration between human intelligence and advanced AI.

Learn to build, orchestrate, and deploy production-grade autonomous AI agents in Calicut. Over 3 months, this intensive, project-based program takes you from LLM fundamentals to advanced multi-agent workflows using industry-standard tools: the OpenAI Assistants API, LangGraph for stateful multi-agent orchestration, and Anthropic’s Model Context Protocol (MCP) for enterprise tool integration. Designed for software developers, AI engineers, and tech professionals in Calicut looking to lead the next wave of AI automation.

AI Agent Development Curriculum

  • Month 1: LLM Foundations & OpenAI Agent Architecture

    1. Introduction to Autonomous Agents, Tools, and Memory Architecture
    2. OpenAI Function Calling & Structured Outputs
    3. OpenAI Assistants API & Code Interpreter Integration
    4. Building Single-Agent Workflows with Tool Access
  • Month 2: Stateful Multi-Agent Systems with LangGraph

    1. LangChain to LangGraph Migration & State Management
    2. Designing Directed Graphs, Nodes, Edges, and Conditional Routing
    3. Multi-Agent Architectures: Supervisor, Router, and Hierarchical Teams
    4. Human-in-the-Loop Approval Patterns & State Persistence
  • Month 3: Model Context Protocol (MCP), Tools & Production Deployment

    1. Model Context Protocol (MCP) Fundamentals & Architecture
    2. Building Custom MCP Servers & Connecting External Tool Interfaces
    3. Agent Evaluation, Observability, and Debugging (LangSmith / Tracing)
    4. Capstone Project: End-to-End Enterprise Multi-Agent System Deployment



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