What will you in The Complete Agentic AI Engineering Course (2025) Course
Apply Agentic AI to real-world commercial problems using proven design patterns.
Architect Autonomous Agentic solutions leveraging Tools, Structured Outputs, and Memory constructs.
Rapidly build and deploy agents with OpenAI Agents SDK and CrewAI for code-executing workflows.
Create robust, repeatable pipelines with LangGraph and integrate AutoGen AgentChat/Core frameworks.
Harness Anthropic’s Model Context Protocol (MCP) to manage context at scale in agentic applications.
Deliver eight end-to-end projects—from design to deployment—demonstrating Agentic AI’s transformative power.
Program Overview
Module 1: Foundations of Agentic AI
⏳ 60 minutes
Core concepts: Tools, Structured Outputs, and Memory patterns.
Best-practice design patterns for multi-agent collaboration.
Module 2: OpenAI Agents SDK
⏳ 75 minutes
SDK setup and first agent creation.
Executing and debugging code in autonomous agents.
Module 3: CrewAI Framework
⏳ 60 minutes
Architecting teams of agents for complex workflows.
Coordination strategies and error handling.
Module 4: LangGraph Implementation
⏳ 60 minutes
Constructing graph-based agent pipelines.
Ensuring robustness and repeatable execution.
Module 5: AutoGen AgentChat & Core
⏳ 75 minutes
Building conversational agents with AgentChat.
Implementing feedback loops and self-improvement via AutoGen Core.
Module 6: Model Context Protocol (MCP)
⏳ 45 minutes
Integrating MCP for advanced context management.
Use cases with Anthropic’s open-source tools.
Module 7: Project Labs – Part I
⏳ 90 minutes
Projects 1–4: applying frameworks to business automation and analytics.
End-to-end development from problem framing to deployment.
Module 8: Project Labs – Part II & Capstone
⏳ 90 minutes
Projects 5–8: advanced scenarios in agentic product design.
Capstone: design, build, and present a full agentic solution.
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Job Outlook
High Demand: Agentic AI engineers are emerging as a key role as organizations adopt autonomous workflows.
Career Advancement: Expertise unlocks senior roles like AI Architect, Automation Lead, and Agentic Systems Specialist.
Salary Potential: U.S. professionals in AI engineering with agentic skill sets often earn $130K–$170K annually.
Freelance Opportunities: Deep knowledge of Agent SDKs, LangGraph, and MCP opens consulting and project-based work.
Specification: The Complete Agentic AI Engineering Course (2025)
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