A small, instructor-led October batch for people who want to build useful AI workflows with judgment: RAG, agents, evaluation, and automation.
The Academy works best when the cohort is small and prepared. We review background, goals, and availability so the October batch can stay practical instead of performative.
We review professional background and intent. We look for candidates with clear use-cases for AI implementation.
Qualified applicants may receive a short exercise covering logic, data handling, and practical reasoning. No leetcode theater.
A video interview to assess communication skills and professional demeanor. This ensures a high-quality peer environment.
Successful candidates will receive an invitation to register for the upcoming cohort.
From careful prompting to small agents, retrieval, evaluation, and automation. Live, hands-on, and intentionally practical.
The core physics of LLMs.
Role, Instruction, Context, Examples. We deconstruct why 90% of business prompts fail and how to write the top 10%.
Forcing the model to "show its work" to reduce hallucinations in complex business logic.
Moving beyond chat into tool use, retrieval, and practical checks for quality.
Understanding the difference between a "Chatbot" and an "Agent." We will explore how Agents use "Tools" (browsing, code execution, API calls) to solve multi-step problems.
Retrieval Augmented Generation. Giving your AI a brain by connecting it to Vector Databases and knowledge bases (PDFs, Company Data) so it stops hallucinating and starts citing sources.
Connecting the brain to the body.
You don't need to be a dev, but you need to know how to pass a JSON object. Understanding Keys, Endpoints, and Payloads.
Using Claude/GPT to write scripts for you. We will write a script that scrapes a webpage and summarizes it.
This day covers advanced implementation strategies specific to the module.
Analysis on the changing landscape of work.
Why "vibes" are technical debt. Building rigorous CI/CD pipelines for non-deterministic AI agents.
Why rewriting from scratch is a mistake. A guide to "Zero-Regression" porting using Virtual Data Layers.
It's rarely the model. It's usually the data pipeline or the user expectation management.
Understanding the shift from conversational AI to agentic workflows that actually do work.
A practical look at the judgment, systems thinking, and communication skills behind useful AI work.
One-time payment upon acceptance.
We offer partial grants to outstanding builders with non-traditional backgrounds. Mention this in your interview.
No. The Academy is professional training, not a placement program. We focus on practical project work and clear technical judgment.
We do not. Once you occupy a seat in a cohort, that spot is gone. We expect full commitment from our students, just as we give full commitment to the curriculum.
The October schedule is still being finalized. Join the interest list if an evening or weekend format would make the program more realistic for you.
Submitting Application...
Select Your Intake
Preparing Download...
Enter details to unlock PDF
Enter your email to be notified when we launch our weekend executive track.