APEX Educational Institute

AI Agents, Agentic AI & MCP Course Online

An AI agent understands a goal, plans steps, uses tools, retrieves information, performs actions, checks results and asks for approval when needed. Learn to build AI agents, agentic workflows and MCP servers, using the simplest architecture that solves the problem.

10 weeks IntermediateOnline LiveRecorded Course

What You Will Learn

  1. Module 1

    AI Agent Fundamentals

    • Goals, planning and tool use
    • AI Agent vs Agentic AI
    • Human-in-the-loop approvals
  2. Module 2

    Tools & Memory

    • Tool calling
    • Retrieval for agents
    • State and memory
  3. Module 3

    Agentic Workflows

    • Multi-step workflows
    • Multi-agent patterns
    • Feedback loops
  4. Module 4

    Model Context Protocol

    • What MCP is
    • Building MCP servers
    • Connecting files, databases, GitHub and business systems
  5. Module 5

    Production Agents

    • Evaluation and observability
    • AI security and guardrails
    • Capstone agent

What You Practice

  • Weekly hands-on labs with real LLM APIs
  • Build a RAG or agent mini project every module
  • Capstone AI application with demo video
  • Mock interviews and portfolio review

How You Are Graded

  • Assignments: 30%
  • Mini projects: 30%
  • Capstone project: 30%
  • Attendance & participation: 10%
  • Grades: A+ (90+), A (75+), B (60+), C (50+)

Track marks, rank and feedback live in your student portal.

Outcomes

  • Build agents that complete real business tasks
  • Create MCP servers for tools and data
  • Deploy agents safely with approvals and monitoring

Free Tutorials to Get Started

FAQs

What is the difference between an AI agent and agentic AI?

An AI agent uses tools to perform tasks toward a goal. Agentic AI is the broader approach of multi-step AI work with planning, tool use, feedback and varying autonomy.

What are the prerequisites?

Basic Python or JavaScript and familiarity with LLMs. Our Generative AI course covers everything you need beforehand.

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