About This Course
<p>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.</p><p><br></p><p>This course is your complete 3 week roadmap to becoming an FDE.</p><p><br></p><p>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.</p><p><br></p><p>I cover everything making the AI headlines:</p><ul><li><p>Harness Engineering</p></li><li><p>Local inference, free models, decision models like Jev</p></li><li><p>Agent Teams, Swarms, Fleets</p></li><li><p>Claude Agent SDK and LangChain Deep Agents</p></li><li><p>ADLC - the AI-Native SDLC</p></li><li><p>Recursive self-improvement</p></li></ul><p><br></p><p>I researched over 300 FDE job descriptions to find the skills that are most sought-after by employers:</p><p><br></p><ul><li><p>Durable State and Human in the Loop with LangGraph</p></li><li><p>AI Gateways and Enterprise Context Layers</p></li><li><p>Responsible AI including Security and Guardrails</p></li><li><p>Agents in Production on AWS Bedrock AgentCore</p></li><li><p>Delivering measurable results to clients with evals and observability</p></li></ul><p><br></p><p>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'.</p><p><br></p><p>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.</p><p><br></p><p>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.</p><p><br></p><p>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..</p><p><br></p><p>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”.</p><p>I’ll see you in the course. We have a packed 3 weeks ahead.</p>
What you'll 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
- Secure agents against prompt injection and the lethal trifecta with guardrails, policies and AI gateways
- Create a data and integration architecture for agents with an enterprise context layer and MCP gateway
- Deploy LangGraph agents to production with AWS Bedrock AgentCore Runtime, Gateway, Policy and Memory