Pratik Sabale
AI ENGINEERING PROGRAM

Become A

GenAIEngineer

Master LLMs, RAG, Agents, MCP, LangGraph, AI Automation and Production Deployment. Build AI systems that solve real business problems at scale.

6+
AI Projects
12+
Production Tools
100%
Hands-On
AI ENGINEERING STACK

The Modern
AI Engineering Ecosystem

Learn the complete stack used to build, deploy and scale production AI products.

Foundation Models
OpenAI
Claude
Gemini
Kimi
AI Orchestration
LangChain
LangGraph
Knowledge Layer
Pinecone
Qdrant
Application Layer
Next.js
FastAPI
Deployment
Docker
AWS
Vercel

Outcome

From Developer → AI Engineer

The AI Shift

AI is becoming
infrastructure.

Just like websites, mobile apps and cloud platforms transformed software, AI is becoming a foundational layer of modern products.

2000

Web

Every business needed a website

2010

Mobile

Every business needed an app

2020

Cloud

Every product moved online

2027

AI

Every workflow becomes intelligent

Understand AI.
Build AI Products.
Deploy AI Systems.
Become an AI Engineer.

Program Vision

Not another prompt engineering course.

Learn how modern AI systems are designed, deployed and scaled using LLMs, Agents, RAG, Vector Databases, LangGraph, MCP and production infrastructure.

Focus on building real-world AI products, not just experimenting with prompts.

Real Projects

Build
AI Products.
Not Tutorials.

Every project is designed to simulate real-world AI engineering workflows used inside modern startups and technology companies.

Multi-Agent

AI Customer Support Agent

Autonomous AI agent capable of handling customer queries, ticketing workflows and business knowledge retrieval.

RAG

RAG Knowledge Assistant

Chat with company documents, PDFs, SOPs and internal knowledge bases using Retrieval Augmented Generation.

Reasoning

AI Research System

Multi-step reasoning agent capable of researching, summarizing and generating actionable insights.

Vector DB

Enterprise AI Chat

Private GPT powered by vector databases and enterprise knowledge systems.

Voice AI

Voice AI Assistant

Real-time conversational voice agent with speech-to-text and intelligent responses.

Automation

Business Automation Platform

Automate repetitive business operations using AI agents and workflow orchestration.

Portfolio Ready.
Production Ready.

Technology Stack

Work With
Modern AI
Infrastructure

Learn the exact tools being used to build production AI systems, intelligent agents, enterprise search and automation platforms.

Models

OpenAIClaudeGeminiDeepSeekKimi

Agent Frameworks

LangGraphCrewAIPydanticAIAutoGen

RAG & Search

PineconeQdrantWeaviateChroma

Backend

PythonFastAPINode.jsExpress

Frontend

Next.jsReactTailwindTypeScript

Deployment

DockerAWSVercelRailway

Learn The Stack.
Build The Product.

Learning Roadmap

Six Months.
One Transformation.

01

AI Foundations

How modern AI systems work. LLMs, transformers, embeddings, prompting and AI product thinking.

02

LLM Engineering

Prompt engineering, structured outputs, tool calling, function calling and production patterns.

03

RAG Systems

Embeddings, chunking, retrieval, vector databases and enterprise knowledge systems.

04

AI Agents

Single-agent, multi-agent workflows, planning, memory and autonomous execution.

05

Production AI

FastAPI, Docker, deployment, monitoring, observability and scaling AI applications.

06

Capstone

Build a complete production-grade AI product and prepare for interviews and hiring.

Mentor

Founder Letter

Most courses
teach tools.
We teach systems.

AI is changing software faster than anything we've seen before.

The challenge isn't learning another tool. It's learning how modern AI products are designed, architected and deployed.

This program was built to help developers move beyond tutorials and start building production-ready AI systems.

You'll work on real projects, understand architecture decisions, deploy systems and think like an AI Engineer.

Pratik Sabale
Founder • AI Engineering Program