Agentic AI Training

Agentic AI is the next frontier — autonomous AI systems that plan, use tools and complete multi-step tasks for users. This program teaches agent architecture, tool integration, memory systems, multi-agent collaboration and production deployment using LangChain, AutoGen and CrewAI.

Agentic AI is the next frontier — autonomous AI systems that plan, use tools and complete multi-step tasks for users. This program teaches agent architecture, tool integration, memory systems, multi-agent collaboration and production deployment using LangChain, AutoGen and CrewAI.

Syllabus

What you will learn

Tools you will use

Projects

Career paths

Who should join

Prerequisites

Certificate

AI specialization certificate with deployed real-world AI projects in your portfolio.

Syllabus

  • Agent Architecture & ReAct Pattern
  • Tool Use & Function Calling
  • Memory Systems
  • Multi-Agent Collaboration
  • Planning Algorithms
  • Safety & Guardrails
  • Evaluation & Observability
  • Production Deployment

Learning outcomes

  • Design robust agent architectures
  • Build multi-agent workflows
  • Implement memory and guardrails
  • Deploy production AI agents

Tools

  • LangChain
  • LangGraph
  • AutoGen
  • CrewAI
  • OpenAI / Claude APIs
  • Python

Projects

  • Research agent with web tools
  • Multi-agent customer support
  • Code-writing developer agent
  • Capstone production agent

Career paths

  • AI Agent Developer
  • AI Solutions Architect
  • Automation Engineer
  • AI Product Engineer

Who should join

  • AI practitioners
  • Senior developers
  • Tech leads & architects

Prerequisites

  • Basic Python helpful (we cover from scratch)
  • High-school math
  • Curiosity for problem-solving

Frequently asked questions

What is Agentic AI?

AI systems that can autonomously plan, use tools and execute multi-step tasks toward a goal — far beyond chatbot answers.

Which tools and technologies will I actually use?

You work hands-on with LangChain, LangGraph, AutoGen, CrewAI, OpenAI / Claude APIs and Python throughout the course, rather than only studying them in theory.

What will I be able to do by the end?

By the end you can: Design robust agent architectures; Build multi-agent workflows; Implement memory and guardrails; Deploy production AI agents.