AI FDE: The Forward Deployed Engineer & Agentic AI Architect (Udemy.com)
The complete roadmap to FDE and AI Architect with Agent Harness Engineering, LangGraph, ADLC, MCP, AWS AgentCore, Evals
Created by: Ed Donner
Last updated October 2026
What you will learn
- Identify the skills of an AI Architect and Forward Deployed Engineer (FDE) with the roadmap to get there
- Accelerate delivery with Claude Code and the Agentic Development Lifecycle (ADLC) while staying accountable
- Apply Harness Engineering to build agents with LangChain, Deep Agents and the Claude Agent SDK
- Choose between frontier, open-source and local LLMs on intelligence, speed, token cost and privacy
- Use evals and observability in Langfuse to drive agent architecture decisions and measure business outcomes
- Give agents long-term memory with Agentic RAG over MCP using vector datastores
- Deliver production-grade agent workflows in LangGraph with durable state, crash recovery and human in the loop
- Scale and optimize with agent swarms, LLM as a judge and recursive self-improvement
- Lead AI initiatives with your clients from discovery and metrics to governance, responsible AI and handover
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.9 out of 5higher than 98% of them
- Reviews236#322 of 462 by number of reviews
- Length21.4 hourslonger than 83% of them
- Last updatedOctober 2026more recently than 99% of them
Course Description
The Forward Deployed Engineer is one of the hottest jobs in AI right now, with postings up 1,000% this year, salaries reaching $400,000 and an estimated 30,000 openings across AI Architecture, Agentic Architecture, FDE and related AI roles.
This course is your complete 3 week roadmap to becoming an FDE.
Making this course was a total guilty pleasure for me. I loved every minute of it, and I hope you’ll love it just as much. I’ve taken all the juiciest topics in AI right now and crammed them into 3 satisfying weeks of hands-on labs, content and projects.
I cover everything making the AI headlines:
Harness Engineering
Local inference, free models, decision models like Jev
Agent Teams, Swarms, Fleets
Claude Agent SDK and LangChain Deep Agents
ADLC - the AI-Native SDLC
Recursive self-improvement
I researched over 300 FDE job descriptions to find the skills that are most sought-after by employers:
Durable State and Human in the Loop with LangGraph
AI Gateways and Enterprise Context Layers
Responsible AI including Security and Guardrails
Agents in Production on AWS Bedrock AgentCore
Delivering measurable results to clients with evals and observability
Over the 3 weeks we develop a commercial product with agent swarms, built with LangGraph, deployed on AgentCore. It’s the most substantive project I’ve ever built on my courses, culminating in a capstone that demonstrates what it means to be 'enterprise grade'.
We use some paid APIs, but there are always free alternatives at every point; there's no need to spend a cent on AI APIs if you'd prefer not to.
The course is open to people at every level; there’s something for everyone. If you’re new to LLMs and coding, then the first week will be quite the crash course. If you’re an experienced AI engineer then please put me on 2X for the first few days.. then it will quickly get very interesting.
There’s something extra that comes with this course… me! I’m always available in the Udemy Q&A. Many people are suspicious that I'm an AI agent because I reply so fast. I assure you: it’s the human me. And I really enjoy answering questions, so you’re doing me a favor by asking them..
If you're considering joining me on this journey, then I have one action for you right now: open your calendar and create a new event 3 weeks from today. The event title is: “Congratulations - I am now a Forward Deployed Engineer”.
I’ll see you in the course. We have a packed 3 weeks ahead.
Instructor Details
- 4.9 Rating
236 Reviews
Ed Donner
Ed Donner is a coder, speaker and leader in the field of Agentic AI, Forward Deployed Engineering and LLMs. He’s the co-founder and CTO of AI startup Nebula, a former Managing Director at JPMorgan Chase, and a well-regarded lecturer on LLMs and Agents with over a million enrollments across 194 countries. He previously founded AI startup untapt, acquired in 2021, after a 15 year career in technology on Wall street. He holds a patent in a deep learning matching model, and an MA in Physics from Oxford. When he’s not at work experimenting with LLMs, Ed can usually be found at home.. experimenting with LLMs.
More courses by Ed Donner
AI Engineer Agentic Track: The Complete Agent & MCP Course (2026)
4.7 (47,752 Reviews)
Provider: Udemy
Time: 21.1h
$19.99
AI Leader: Generative AI & Agentic AI for Leaders & Founders (2026)
4.6 (8,179 Reviews)
Provider: Udemy
Time: 3.8h
$19.99
Curso Completo de Ingeniería de Agentes de IA (2025)
4.6 (883 Reviews)
Provider: Udemy
Time: 25.3h
$19.99
Informe Ejecutivo de IA Generativa 2025: LLMs para Líderes
4.6 (20 Reviews)
Provider: Udemy
Time: 3.6h
$12.99
More Data Science courses
Master statistics & machine learning: intuition, math, code (2026)
4.9 (3,077 Reviews)
Provider: Udemy
Time: 38.3h
$124.99
Reviews
By Brooks D Johnson on 10/17/2026
I think everything Ed does is amazing. He has helped grow into new roles and responsibilities at work
By ASSAF LEVI on 10/17/2026
I've already taken several of Ed's courses. Best instructor for getting up to speed as an AI professional. Ed is clear, concise and captivating
By Okafor Pascal Ogbonna on 10/16/2026
Ed is an inspiring Tutor, I’m not surprised the FDE course is this amazing and well put out
By Sean Loewen on 10/16/2026
as always a knowledge-dense hands-on baptism-by-fire course from the illustrious and magnanimous Ed Donner
By Blaine Holt on 10/16/2026
I've been a long time fan of Ed's courses. His approach is grounded and always tied to 'Solving a commercial problem', not hypotheticals.
By Paul Bargiel on 10/16/2026
Love the course! I recently built something related to the insurance industry, and this has been a great opportunity to reflect on the AI solution we delivered and look at it from a different perspective. If anyone is interested, you can check it out here: https://www.hexnetworks.com/wp/wp-content/uploads/2026/08/Viewspection-Case-Study.pdf
By Wasim Shaikh on 10/15/2026
Great course! The concepts are explained with simple, real-life examples, so even a complete beginner can understand them easily.
By Steve Goodman on 10/15/2026
Curriculum and case-study/capstone looks really good so far, imho. Great energy too.
By Wei Yi on 10/14/2026
Having taken Ed’s previous AI courses, I was thrilled to find out he released a new one! His teaching style is top-notch, and I have no doubt this course is going to be just as incredible.
By Sergey Kryvets on 10/13/2026
The amount of energy coming from Ed is amazing. I do have quite a bit of experience working with LLMs and harnesses (building code in my company on a daily basis), but Ed's course helped me solidify my knowledge and advance it to the next level.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 98 / 100











