The Complete Agentic AI Engineering Course (2025)
Overview of The Complete Agentic AI Engineering Course on Udemy
Step into the future of artificial intelligence with The Complete Agentic AI Engineering Course (2025) on Udemy, a hands-on program designed to help you master autonomous AI agents in just 30 days. Led by Ed Donner, a seasoned AI startup founder, this course guides you through building eight real-world projects using cutting-edge frameworks like OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and Anthropic’s Model Context Protocol (MCP). With 17 hours of on-demand video and 2 downloadable resources, you’ll gain practical skills to design and deploy agentic AI solutions. Enroll today with coupon LAUNCH_OFFER (valid until April 30, 2025—check the offer box below for the discount link!)
What to Expect from The Complete Agentic AI Engineering Course
This intensive 6-hour course, structured as a 6-week program, delivers a hands-on learning experience for developers, data scientists, and AI enthusiasts. Ed Donner’s teaching style emphasizes learning by doing, with step-by-step guidance through real-world projects like building autonomous agents that write and execute code. While ideal for those with programming experience, the course is accessible to learners of all backgrounds. Hosted on Udemy, it offers lifetime access, enabling you to study flexibly on any device, with downloadable resources to support your projects.
What You Will Learn in The Complete Agentic AI Engineering Course
- Connect large language models (LLMs) using proven design patterns for collaborative agentic AI solutions.
- Build autonomous agentic applications with CrewAI, including agents that write and execute code.
- Create robust, repeatable agentic solutions using LangGraph for scalable AI systems.
- Develop agentic products rapidly with OpenAI Agents SDK for commercial applications.
- Pioneer advanced AI with AutoGen AgentChat and Core for multi-agent collaboration.
- Unlock open-source tools and resources enabled by Anthropic’s Model Context Protocol (MCP).
Why Choose This Complete Agentic AI Engineering Course on Udemy
Ed Donner, co-founder and CTO of Nebula, brings a wealth of experience from leading AI startups and a 15-year career on Wall Street. The course is regularly updated to reflect the latest advancements in agentic AI, ensuring you stay at the forefront of this rapidly evolving field. With 17 hours of video and 2 downloadable resources, it offers practical, project-based learning to build job-ready skills. Its focus on real-world applications makes it ideal for career advancement. Use LAUNCH_OFFER to snag it at a discount (see offer box)!
Recommended Courses with Agentic AI Focus
Looking to expand your skills? Check out these related courses:
RAG, AI Agents and Generative AI with Python and OpenAI 2025 Best seller
Artificial Intelligence A-Z 2025: Build 7 AI + LLM & ChatGPT Best seller
- AI Agents for Everyone and Artificial Intelligence Bootcamp – Build and deploy AI agents with hands-on projects using AutoGPT, LangGraph, and CrewAI.
- AI Agent: Design Pattern to Coding Agentic AI CrewAI AutoGen – Master agentic AI design patterns and frameworks like CrewAI and AutoGen.
- Mastering Agentic AI: Theory and Implementation Masterclass – Explore agentic AI systems with practical implementation approaches.
Our Review of The Complete Agentic AI Engineering Course
From an admin perspective, The Complete Agentic AI Engineering Course (2025) is a well-structured, project-driven program that excels in delivering practical AI skills. Ed Donner’s industry expertise shines through, making complex concepts accessible via real-world projects. The course’s focus on frameworks like CrewAI and LangGraph is a major strength, though beginners without coding experience may need extra effort. The pacing is intense, which may challenge some learners. Overall, it’s a top-tier resource for mastering agentic AI. With LAUNCH_OFFER, it’s a steal!
- Pros:
- Hands-on projects provide real-world, job-ready skills.
- Ed Donner’s startup experience adds practical credibility.
- Covers cutting-edge frameworks like OpenAI Agents SDK and AutoGen.
- Cons:
- Intense pace may overwhelm beginners without coding background.
- Limited depth on theoretical aspects of agentic AI.
Rating the The Complete Agentic AI Engineering Course
Overall: 9.8/10
- Content: 9/10 – Comprehensive and practical, though theoretical depth could be expanded.
- Delivery: 9/10 – Engaging and project-focused, but pacing may vary for novices.
- Value: 10/10 – Affordable with LAUNCH_OFFER.
Join the AI revolution and build autonomous agents that transform industries—enroll now to become an agentic AI expert
