Next Batch: October 2026

Practical AI Training
For Builders.

A small, instructor-led October batch for people who want to build useful AI workflows with judgment: RAG, agents, evaluation, and automation.

View Syllabus
Small
Focused Cohort
Live
Instructor-Led
Project
Hands-On Work
October
Next Batch Planned

Admissions &
Cohort Composition

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.

Prerequisites

  • Technical Literacy: Comfort with logic flows, data structures (CSV/JSON), and adopting new software platforms.
  • Infrastructure: Modern laptop + High-speed internet connection.
  • Availability: October schedule and format will be confirmed before enrollment.

Selection Process

1

Application Review

We review professional background and intent. We look for candidates with clear use-cases for AI implementation.

2

Fit Check

Qualified applicants may receive a short exercise covering logic, data handling, and practical reasoning. No leetcode theater.

3

Instructor Interview (30 Mins)

A video interview to assess communication skills and professional demeanor. This ensures a high-quality peer environment.

4

Offer of Admission

Successful candidates will receive an invitation to register for the upcoming cohort.

The Working Curriculum

From careful prompting to small agents, retrieval, evaluation, and automation. Live, hands-on, and intentionally practical.

Foundation & Prompt Engineering

The core physics of LLMs.

The RICE Framework

Role, Instruction, Context, Examples. We deconstruct why 90% of business prompts fail and how to write the top 10%.

Chain-of-Thought Reasoning

Forcing the model to "show its work" to reduce hallucinations in complex business logic.

Pivotal Module Week 2 Start

Agents, Retrieval & Evaluation

Moving beyond chat into tool use, retrieval, and practical checks for quality.

Morning: The Agent Architecture

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.

Afternoon: RAG Implementation

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.

  • Lab Project: Build an "Analyst Agent" that reads a PDF annual report and answers questions with citations.

APIs & Low-Code Orchestration

Connecting the brain to the body.

REST API Fundamentals

You don't need to be a dev, but you need to know how to pass a JSON object. Understanding Keys, Endpoints, and Payloads.

AI-Assisted Python

Using Claude/GPT to write scripts for you. We will write a script that scrapes a webpage and summarizes it.

Detailed syllabus available in brochure.

This day covers advanced implementation strategies specific to the module.

Academy Insights

Analysis on the changing landscape of work.

Enrollment & Fees

Standard Program Fee

$1,997

One-time payment upon acceptance.

  • Live applied AI sessions
  • RAG, agents, evaluation, and automation labs
  • Project review and certificate of completion

Access Fellowships

We offer partial grants to outstanding builders with non-traditional backgrounds. Mention this in your interview.

Common Questions

Is job placement guaranteed?

No. The Academy is professional training, not a placement program. We focus on practical project work and clear technical judgment.

Do you offer refunds?

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.

Can I do this part-time or on weekends?

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.

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