Forward Deployed AI Engineer Bootcamp
Meri Nova
AI Educator to 145k Linkedin
Hai Nghiem
Senior AI Engineer, Investor & Advisor
Go from building AI demos to delivering AI systems people can actually use.
Forward Deployed AI Engineers work directly with customers and stakeholders
- to uncover the real problem,
- turn ambiguous requirements into a build plan,
- make pragmatic technical decisions,
- and ship a solution into production.
In this 4-week hands-on bootcamp, you will practice the full lifecycle of Forward Deployed AI Engineering.
You will learn the foundations behind the modern AI agentic projects, build with a practical full-stack agent stack, gather and prioritize requirements, work through realistic customer scenarios, and take a final project from proof of concept to production.
This is not a collection of disconnected AI tutorials, but a guided simulation of the work an FDE is expected to do.
Taught by leading AI Forward Engineering firm in Canada, AGI Ventures.
What you’ll learn
Build the technical judgment and customer-facing skills to take an AI agent from ambiguous requirements to production.
Learn how context engineering, MCP, agent harnesses, and sandboxes fit together in a modern agent system.
Understand why an effective agent is more than a model and a prompt.
Learn about what it takes to qualify for $200k+ FDE positions at startups and enterprises.
Build your portfolio with real problems and case studies.
Identify the real user, decision-maker, stakeholders, constraints, and priorities behind a request.
Convert customer conversations into a requirements document and actionable tickets.
Choose between infrastructure and runtime providers, like AWS AgentCore, Langchain, Claude Managed Agents, and more.
Pick the right Agent Harness for your problem and not default to a locked-in popular providers.
Choose infrastructure based on the customer and project—not whichever tool is newest.
Complete a realistic FDE project with a requirements document, POC walkthrough, and final demo.
Learn directly from Meri & Hai
See all products from Agent Lab: Meri & Hai
Who this course is for
Software, product, AI, and ML engineers who can build applications and want to move into applied AI or forward deployment.
Solutions architects, technical consultants, and technical PMs who want stronger requirements, stakeholder, and production-delivery skills.
Career switchers, founders, and professionals with development experience who need a credible path from customer problem to production.
What's included
Customer and FDE roleplays
Practice requirements gathering, stakeholder management, prioritization, and tradeoffs in realistic live scenarios.
AI customer simulator
Run discovery conversations with an AI customer, uncover needs, and turn ambiguity into clear requirements.
Six months of course access
Revisit lesson videos, recordings, assignments, and the community for six months after the bootcamp.
Bootcamp repository and case studies
Start from the shared GitHub repository, use prepared customer scenarios, or bring a problem from your own work.
Certificate and achievement page
Complete the required videos, assignments, and final project to earn a personalized certificate and shareable achievement page.
Office hours and feedback
Get help during office hours and structured feedback as you refine requirements, your POC, and the final build.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
32 live sessions • 6 lessons • 2 projects
Week 1
Feb
2
🚀 Launch Day
Mon 2/28:00 PM—9:00 PM (UTC)
Onboarding
Feb
3
Meet and Greet Session
Feb
4
Lecture: Intro to Agent Engineering and Setup Your Starter Project
Feb
5
Live Coding Session: Build Your Starter Project
Intro to Git, Github and Claude Code
Feb
6
Live Coding Session: Build Your Starter Project (Continued)
Feb
6
Office and Happy Hour (30’ / 30’)
Week 2
HW: Set Up Your First Project
Share Your Project Ideas
Feb
9
Lecture: Context Management: RAG, Agent Memory, Recommendation System and Search
Feb
10
Live Coding: Demonstrate How to Remix RAG, Memory and More Using Our Template
Feb
11
Lecture: MCP
Feb
12
Live Coding: Demonstrate MCP Capabilities in the Template Repo
Feb
13
Office and Happy Hour (30’ / 30’)
Free resource
How to build full-stack Agentic Applications in 2025?
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Discover how to design, develop, and launch full-stack agentic applications with production-ready workflows for LLMs.
Discover industry-standard tech stack for real-world AI apps
Learn about the most popular frameworks, libraries, and platforms shaping full-stack agentic app development landscape.
Common challenges and practical solutions
Explore real-world obstacles teams face when creating agentic applications and hear practical strategies.
Do these delivery problems feel familiar?
You can build a promising AI demo, but you are not sure how to get it into production.
Customer conversations give you a pile of requests, not a clear set of requirements.
You know the tools, but you struggle to choose the right architecture for the customer’s constraints.
You can write code, but explaining tradeoffs to non-technical stakeholders is harder.
Your proof of concept works, but deployment, evals, cost, and reliability still feel unclear.
You want credible evidence that you can do forward-deployed work—not another tutorial certificate.
Frequently asked questions
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