FDE Frontier for SWEs: Become the Engineer AI Can't Replace
Karthik Balachand
Dev-Turned-FDE Leader: Agentic Apps
AI can write code. It can't win a customer. Learn to do both.
Coding agents get better every quarter, and companies are hiring fewer engineers to just write code. Meanwhile, Forward Deployed Engineer job postings grew 1,165% in a year (Bloomberry analysis of Revealera data, 2025).
The FDE is the engineer AI makes more valuable: you sit with the customer, find the real problem, build the agentic AI solution and get it into production.
Every other FDE course teaches only the build. FDE Frontier also teaches the customer half of the job: discovery, scoping, exec demos, security reviews and ROI stories. That's the half that gets you hired and trusted.
In 4 weeks you'll build one production-grade AI agent on AWS (Bedrock, AgentCore, MCP) with portable open-source patterns, then present it to a mock executive panel. You leave with a portfolio project, an FDE resume and real interview practice.
Taught by an engineer-turned-sales leader with 500+ technical wins, whose FDE selling course on Maven is rated 5.0.
What you’ll learn
Go from engineer worried about AI to the FDE who builds agentic AI and wins the customer: the two halves of the job, on one real project.
Separate the real problem from the feature asked for, and turn a vague request into a one-page brief with success metrics.
Map every stakeholder (champion, buyer, security, end users) so your project never dies in a meeting you weren't in.
Practice live discovery calls with role-play and feedback from a coach with 500+ technical wins.
Ship tested tools in hours with coding agents (Claude Code, Kiro) and spec-driven development.
Build grounded RAG with hybrid search, citations and a safe "I don't know" so your demo never hallucinates.
Turn tools into an agent with Strands or LangGraph on Amazon Bedrock, with guardrails and the right model for cost.
Expose enterprise systems through your own MCP server and coordinate specialist agents with a supervisor.
Add human-in-the-loop approvals for the decisions AI should not make alone.
Deploy with Docker, GitHub Actions and Bedrock AgentCore, with least-privilege identity that passes security review.
Build evals (golden cases, LLM-as-judge, tool-call checks) that answer: how do we know we can trust it?
Trace every model and tool call with OpenTelemetry, and track cost per case, latency and failure rate.
Turn eval results into the ROI story that moves a pilot into a production contract.
Give the 10-minute executive demo that wins the pilot, and handle the hard questions on cost and hallucinations.
Navigate security and IT objections, and say no to scope creep without losing the customer.
Write the briefs, status updates and runbooks that make customers trust you.
Present your capstone to a mock executive panel and get scored, actionable feedback.
Rewrite your resume and LinkedIn around FDE outcomes instead of tasks.
Practice the FDE interview loop: customer case, AI system design and live build.
Learn directly from Karthik
Karthik Balachand
Engineer turned tech seller. 100xed revenues and 500+ technical wins.
Who this course is for
Software engineers worried about AI who want the role AI makes more valuable: the Forward Deployed Engineer.
Backend and full-stack devs moving into customer-facing AI roles: FDE, AI Solutions Engineer or AI Architect.
FDEs and Sales Engineers who can build, but lose pilots, deals or credibility in front of customers.
Prerequisites
Python and Git (no AI or ML experience needed)
If you can write Python and use Git, you're ready. We build the agentic AI stack from first principles with starter code.
An AWS account (we provide setup guides)
Free tier plus roughly $25-50 of Amazon Bedrock usage covers all labs. Every pattern is portable to other clouds.
A coding agent (Claude Code, Kiro, Cursor or Copilot)
Modern FDEs build with AI. You'll learn spec-driven development with a coding agent from day one.
What's included
Live sessions
Learn directly from Karthik Balachand in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Portfolio-ready capstone project
A deployed, evaluated, multi-agent AI system on AWS that you can demo in interviews and to your manager.
The FDE Customer Playbook
Discovery script, one-page problem brief, stakeholder map, pilot SOW, security-review checklist and ROI calculator. Use them on Monday.
FDE Career Kit and mock interview
Resume and LinkedIn templates that reframe your experience as FDE outcomes, plus a mock FDE interview loop (customer case, AI system design, live build) with feedback.
Starter repo and step-by-step lab guides
Working code for every session on AWS (Bedrock, AgentCore, MCP) with open-source frameworks, so you never get stuck on setup.
Free re-take of any future cohort
AI moves fast. Come back to any future cohort at no cost to refresh the labs with the latest tools.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
Week 1
Nov
11
Session 1: The FDE Role & Customer Discovery
Nov
13
Session 2: Spec-Driven Build with Coding Agents
Week 2
Nov
18
Session 3: Grounded RAG & the 10-Minute Exec Demo
Nov
20
Session 4: Your First Production Agent
Frequently asked questions
Maven for Teams
Reimbursement
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