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Ed Donner Courses
AI Engineer Agentic Track: The Complete Agent & MCP Course
4.7 (47,752 Reviews)
Provider: Udemy
Time: 21.1h- 2026
$19.99
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
4.7 (41,522 Reviews)
- Provider: Udemy
- Time: 33.5h
- 2026
$109.99
AI Coder: Complete Claude Code & Coding Agents Course
4.6 (11,184 Reviews)
- Provider: Udemy
- Time: 16.3h
- 2026
$19.99
AI Leader: Generative AI & Agentic AI for Leaders & Founders
4.6 (8,179 Reviews)
- Provider: Udemy
- Time: 3.8h
- 2026
$19.99
AI Builder: Create Agents, Voice Agents & Automations in n8n
4.8 (4,579 Reviews)
- Provider: Udemy
- Time: 14.3h
- 2026
$19.99
AI Engineer Production Track: Deploy LLMs & Agents at Scale
4.7 (3,779 Reviews)
- Provider: Udemy
- Time: 18.7h
- 2026
$19.99
Most Recent Review
The course hits the sweet spot when it comes to combining depth and breadth of the topics. It starts from the simpler ideas and gradually builds up. Foundational ideas are well explained in a structured way, focused on essentials. I love the fact Ed cares about reiterating on important points and reminders, not just assumes that something was once said and it is enough. Ed's enthusiasm is contagious and helps to feel excitement about the topics. Materials are very informative, well-organized and kept up to date. I also appreciate the idea of sprinkling MCP throughout the course and explaining the details at the end. I cannot wait to take another courses from Ed. Prime quality.
- Review by Michał Janiszewski on AI Engineer Agentic Track: The Complete Agent & MCP Course
Instructor Bio
Ed Donner is a technology leader and repeat founder of AI startups. He’s the co-founder and CTO of Nebula, the platform to source, understand, engage and manage talent, using Generative AI and other forms of machine learning. Nebula’s long-term goal is to help people discover their potential and pursue their reason for being.
Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company, acquired in 2021. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across 3 continents, after a 15-year technology career on Wall Street. Ed holds a patent for a Deep Learning matching engine issued in 2023, and an MA in Physics from Oxford.
