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In 2026, engineering value is shifting from task execution to orchestration and systems thinking. Anthropic's research shows that being a software engineer increasingly means orchestrating agents that write code, evaluating their output, and ensuring the system solves the right problems—not just writing more code yourself. The gap between early adopters and everyone else is widening fast.
The hard part isn't keeping up with every new model or framework — it's having a repeatable way to implement an Agentic SDLC sitting above the algorithm. That's AAMAD: the method behind this course, and the one alumni say gave them control instead of a moving target.
In its 2nd year, I've rebuilt this course around AAMAD to cover the full scope of the Claude Certified Architect Professional (CCAR-P) exam — solution design, enterprise integration, responsible AI, stakeholder lifecycle, team enablement — vendor-agnostic & project-based. You won't memorize one vendor's API — you'll apply AAMAD to make the nuanced architecture decisions the Agentic Architect function demands, on a system you build yourself.
This is a project-based course. In 6 weeks, learn a repeatable framework, build a multi-agent app, and leave as an Agentic Architect.
Ship rock‑solid project docs: research + requirements that AI agents can execute on.
Architect a production‑ready multi‑agent system with clear roles, workflows, and docs.
Design and build one production‑ready Agentic AI application, not just a prototype.
Configure your multi-agent runtime (e.g. CrewAI, Claude Agent SDK, Cursor Agent SDK).
Add enterprise‑grade reliability: HITL, observability, and automated QA for agents.
Deploy and present a portfolio‑ready capstone you can show to clients and hiring managers.
Technical Builders (software, AI/ML, data, platform) moving from demos to reliable delivery.
Product and Business Owners (PMs, founders, consultants) responsible for outcomes, priorities, and execution quality.
Aspiring Forward Deployed Engineers who need to navigate deep technical, business, and product territory for enterprise AI transformations
Own delivery outcomes in tech/product/design/consulting. Read-level Python is helpful; pair with a technical teammate if needed.
Comfort with Git/GitHub, API basics, and AWS (or similar). If rusty, budget extra setup time in Weeks 1-2.
Agentic IDE (Cursor, Claude Code, GitHub Copilot), Model API credits (~$20+), GitHub account, AWS access (recommended)

Live sessions
Learn directly from Carmelo Iaria in a real-time, interactive format.
Weekly Office Hours
Get unstuck in your Capstone Project build.
Personalized 1:1 coaching
Unblock your capstone with focused 1:1 implementation support
Community of peers
Learn with practitioners building real agent systems.
Certificate of completion
Validate production-ready agent architecture skills.
Lifetime access
Rewatch sessions and reuse templates as your project evolves.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
12 live sessions • 83 lessons • 11 projects
Nov
2
Nov
6
Nov
9
Nov
13
Live sessions
3 hrs / week
Two 90 minutes weekly live session
Mon, Nov 2
4:00 PM—5:30 PM (UTC)
Fri, Nov 6
4:00 PM—5:30 PM (UTC)
Mon, Nov 9
4:00 PM—5:30 PM (UTC)
Projects
4 hrs / week
Work on your Capstone Project (weekly deliverables)
Async content
1 hr / week
Videos + Lessons on the Maven platform

Sairam Sundaresan

Paul Iusztin
Quick explainer video about this new critical role in the age of AI assisted coding

Ship your Capstone with a structured and replicable method
Maven for Teams
Reimbursement
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedTeam discount
Learn with your teammates
Save 20%+ when 2 or more teammates enroll in the same cohort.
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A dedicated cohort with a custom schedule and curriculum, tailored to your team.
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