Agentic AI Engineer: The Complete AI Agents & MCP Course

About this course

Master the technologies and engineering practices behind modern AI agents in this intensive, project-based course.

Across 30 guided stages, you will progress from making your first model API call to designing, building, evaluating and deploying advanced AI agents, multi-agent teams, browser automation systems, coding agents and MCP-powered applications.

You will work with Python, OpenAI Agents SDK, CrewAI, LangChain, LangGraph, AutoGen, Microsoft Agent Framework, Model Context Protocol, FastMCP, Playwright, Docker, Gradio, FastAPI and React. You will also explore frameworks such as Google ADK, Pydantic AI, AWS Strands, Agno and Mastra.

The course begins with the foundations of Agentic AI, including model communication, tool calling, structured outputs, agent loops, context engineering, memory, retrieval, guardrails and human oversight. You will then advance to multi-agent orchestration, browser control, sandboxed code execution, agent-to-agent communication, custom MCP servers, evaluation, observability and deployment.

Learning is centered around eight real-world projects:

• Professional Digital Twin Agent — Build an agent that represents your skills, experience and professional portfolio.
• AI Sales Development Team — Coordinate specialist agents that research prospects and create professional outreach.
• Deep Research Intelligence Team — Build a multi-agent system that plans investigations, gathers evidence and produces comprehensive reports.

Market Intelligence and Stock Screening Crew — Create a CrewAI team that researches companies, applies screening criteria and generates structured analysis.

Sandboxed AI Engineering Team — Deploy four agents that plan, develop, test and document software inside Docker.

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