Agentic BuildcampA cognitive gym for building AI agents — using AI agents.
You don't get stronger by watching someone lift. This is where pragmatic builders — developers, founders, and operators — ship a real AI agent in 7 weeks by training the way professionals do: structured reps, a cohort pushing alongside you, and coaches who fix your form before bad habits set in.

Taught by Dr. Amir Feizpour — founder of Aggregate Intellect, ex-Oxford & RBC NLP Lead, a decade building production AI systems. Meet the mentors →
Is This For You?
Follow the path that describes how you want to build.

You'll Thrive Here If...
The strongest outcomes come from people who like building in public, iterating fast, and using the cohort to finish something real.
Committed Builders
You want to stop collecting courses and start finishing substantial work. This buildcamp rewards consistent effort and steady progress on a real project.
Self-Directed Problem Solvers
You like researching, experimenting, and figuring things out as you build. This is not a step-by-step course, so curiosity and initiative matter.
First-Principles Builders
You want to understand how agent systems work and build from first principles instead of relying on plug-and-play templates for someone else's problem.
Outcome-Focused Tool Mixers
You care more about shipping the right solution than mastering a single framework. We use whatever combination of tools fits the project best.
Portfolio-First Professionals
You care more about real applications, shipped demos, and proof of work than collecting certificates or adding another credential line to LinkedIn.
Rapid Iterators
You can start before every detail is mapped out. We move quickly, learn by doing, and improve the project through short feedback loops.
Experience level: You need to be willing to build using whatever tools work best - whether that's coding, AI-assisted development, no-code platforms, or combinations of all three. We support any approach that gets your project built. The main requirement is showing up ready to build.
How You Build
The program is delivered using Sherpa-B — an MCP server that acts as your building coach or thought partner. Concretely, this is a series of workflows you run directly in your agentic coding environment (eg. Claude Code). You learn the methodology by using it in action while building. Sherpa-B is built on KnowledgeOps — our framework for AI-enabled knowledge work.

We have helped 250+ builders like you who've come from all types of industries and they have gotten great value from our bootcamp.
Where our alumni work
What You'll Actually Get
This isn't just another course. You'll walk away with tangible assets that advance your career and concrete skills that set you apart.
A Complete AI Agent Application
Build and deploy a fully functional agentic AI application that solves a real workflow problem. Not a toy project — a showcase-ready application you can demo to employers, clients, or investors.
Public Demo & Portfolio Piece
Present your project to hundreds of attendees in our public demo showcase. Get a professional demo video and case study that proves your AI engineering capabilities.
Real-World Complexity, Not Toy Demos
Build under conditions that reflect how agents actually behave in production — edge cases, failure modes, and the nuance that vendor demos skip.
Weekly 1:1 Sessions with Working AI Engineers ⭐
Meet regularly with mentors who build AI systems professionally. Use those sessions to unblock architecture decisions, review implementation tradeoffs, and tighten your demo before launch.
KnowledgeOps Methodology
The KnowledgeOps methodology — 12 guided workflows for building real-world AI agents. From problem framing and workflow design to evaluation and deployment. A process you internalize and take with you, independent of any single tool or framework.
Prompts and Workflows You Keep
The baseline prompts and workflow templates from the program are yours. Refined through the buildcamp, they are your starting point for every agentic project you build after.
⭐ = Mentorship Tier Only
Bottom line: You'll leave with a shipped agent, the KnowledgeOps methodology internalized, and a cohort of builders you actually worked with.
FAQs
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