In-Person AI Engineering Bootcamp

Become an AI Engineer,
not just an AI user.

A premium hands-on bootcamp for software engineers who want to build real-world AI applications, RAG systems, AI agents, and deploy production-ready AI products using modern AI engineering practices.

Apply for Upcoming Cohort Talk on WhatsApp

Weeks

Hands-On Sessions

Production Capstone

100%

Practical Learning

What You'll Build

Ship systems that actually matter.

Throughout the program, you progressively build one production-style AI Engineering Assistant — capable of retrieval, reasoning, tool execution, agent workflows, and intelligent automation.

✓

AI-powered applications using APIs with streaming responses

✓

RAG systems with vector databases and semantic retrieval

✓

AI agents and multi-agent workflows with planning and reasoning

✓

Context-aware AI assistants with persistent memory

✓

Tool-using autonomous systems and MCP integrations

✓

Deployable production-style AI apps on free platforms

agent.py — RebindRise Capstone

        from openai import OpenAI
        from chromadb import Client
         
        # RAG + Agent with tool calling
        class AIEngineeringAssistant:
          def __init__(self):
            self.llm = OpenAI()
            self.memory = []
            self.vector_db = Client()
         
          async def chat(self, query: str):
            context = await self.retrieve(query)
            tools = self.get_tools()
            async for chunk in self.stream(
              context, query, tools
            ):
              yield chunk  # streaming ✓
      

Philosophy

AI is changing software engineering.

The next generation of engineers will not just write software — they will orchestrate intelligent systems. RebindRise is designed to help software engineers transition into modern AI engineering through deep hands-on learning and real application building.

⚡

Hands-On First

Every session focuses on implementation, experimentation, debugging, and building practical systems — not theory-heavy lectures. You code from minute one.

🔧

Built for Engineers

Designed specifically for developers with industry experience who want to move into AI engineering and agentic applications. No hand-holding — real engineering depth.

🚀

Production Thinking

Learn architecture, context handling, retrieval systems, agent workflows, deployment, and practical AI engineering patterns used in real products.

Programs

Two courses. One mission.

Choose the track that fits your goals — or talk to us about combining both.

Flagship Program New Cohort

Agentic AI: AI Engineering & Agentic Applications Bootcamp

Go from LLM basics to building and deploying production-style AI applications, RAG systems, and multi-agent workflows — all in 10 weekends.

📅 10-Week Weekend Program 🏙️ In-Person / Online ⏱️ 4–5 hrs/day 🔬 ~70% Hands-On

Build AI apps with OpenAI APIs, streaming, structured outputs, and tool calling
Design RAG systems using embeddings, ChromaDB, and semantic retrieval
Create autonomous agents with planning, memory, and multi-agent coordination
Integrate MCP (Model Context Protocol) tool servers
Deploy production-ready AI application on Railway / Render
Graduate with a portfolio-grade AI Engineering Assistant capstone

Apply Now WhatsApp

Full Stack Track

Java Full Stack Developer

A comprehensive program to become a job-ready Java full stack engineer — covering backend development, REST APIs, React frontend, databases, and real project experience.

📅 Flexible Duration 🏙️ In-Person / Online 💼 Job-Ready Focus 🔬 Project-Based

Core Java, OOP, Collections, Streams, and modern Java features
Spring Boot, REST APIs, microservices, and database integration
React.js frontend — components, hooks, state management, API calls
MySQL / PostgreSQL — schema design, queries, JPA / Hibernate ORM
Git, Maven, Docker basics, and deployment fundamentals
Build 2–3 real full-stack projects for your portfolio

Enquire Now WhatsApp

Agentic AI Curriculum

10 weeks. Every week ships something new.

Saturday + Sunday · 4–5 hours/day · One evolving capstone from week 1 to week 10.

Week 01–02

AI Foundations & Prompt Engineering

LLM internals & how GPT works First API call → terminal chatbot Tokens, context windows, cost Prompt engineering fundamentals Structured outputs & Pydantic

Foundations

Week 03

Context Engineering & Embeddings

Context windows & prompt packing Sliding window memory What embeddings are Semantic search vs keyword search Build: "Ask my notes"

Memory

Week 04

Vector Databases & RAG

ChromaDB setup & queries Dense retrieval & metadata filtering RAG architecture end-to-end PDF chatbot with citations Multi-document querying

RAG

Week 05

Advanced RAG & Tool Calling

Query rewriting & hybrid search Context compression Build tools: calculator, file reader Function execution loop AI as orchestrator

Tools

Week 06

AI Agents

Agent lifecycle & reasoning loops Planning, reflection & retry Agent memory (short & long term) Task decomposition Build: research agent

Agents

Week 07

Multi-Agent Systems & MCP

Supervisor-worker pattern Researcher + summarizer agents What MCP is & why it matters Setup MCP server AI filesystem assistant

Multi-Agent

Week 08

Production Engineering

Latency & cost optimization Streaming APIs & rate limiting Prompt injection & guardrails Input sanitization & validation Security & safety patterns

Production

Week 09

Evals & Deployment

Lightweight eval suite Prompt regression testing FastAPI deployment Deploy to Railway / Render Secrets & CI/CD basics

Deploy

Week 10

Final Capstone & Demo Day

End-to-end system integration Architecture review Final live demos Peer reviews Career roadmap discussion

Demo Day

Tech Stack

What You'll Use

Python 3.12 + FastAPI OpenAI SDK (GPT-4.1/4o-mini) ChromaDB vector database Streamlit / React UI Railway / Render deploy

Stack

Final Capstone Project

"AI Engineering Assistant" — your deployed product.

By the end of 10 weeks, you'll have built and deployed a complete AI assistant capable of chat, retrieval, autonomous task execution, and multi-agent coordination.

Core AI

Chat interface

Streaming AI responses

System prompts

Context handling

Conversation memory

Structured JSON outputs

Tool calling

Knowledge

PDF ingestion

Semantic search

Vector database

RAG pipeline

Multi-document querying

Citation-aware answers

Agentic

Task planning

Tool-using agent

Multi-agent workflows

Research agent

Summarization agent

MCP tool integrations

Engineering

Logging & token tracking

Basic evaluations

Prompt versioning

Error handling

Deployed publicly

Portfolio-ready codebase

Audience

Designed for serious software engineers.

This is not a generic AI course. RebindRise is built for engineers who want practical implementation skills and real-world AI engineering experience.

👩‍💻

Software Engineers

Developers with 2–5 years of experience looking to transition into AI engineering and modern AI application development.

⚙️

Backend & Full Stack Engineers

Engineers interested in building intelligent systems, APIs, AI workflows, and scalable AI products on top of existing skills.

🤖

Professionals Exploring AI

Engineers already using AI tools who now want to understand how to build and deploy AI-powered systems professionally.

📌

Prerequisites

Basic programming knowledge required · Python familiarity helpful but not mandatory · No prior AI or ML experience needed · Bring a laptop and the curiosity to build.

Why RebindRise

Not a classroom. A bootcamp.

Most AI learning is either too theoretical or too shallow. This program is different.

✦ What you get

🖥️

Learn by BuildingEverything is hands-on. Code, experiment, debug, and build in every single session.

📦

One Evolving ProjectBuild a single production-style capstone over 10 weeks — not disconnected demos.

🧩

Modern Engineering PatternsLearn architecture, retrieval, agents, deployment — skills that transfer to real jobs.

📅

Weekend-FriendlySaturday + Sunday only. Keep your weekday job while upskilling seriously.

✕ What we skip

Heavy ML math and academic theory

LangChain abstractions before you understand the fundamentals

Theory-heavy lectures with minimal coding time

Notebook-heavy environments disconnected from production

Overcomplicated deployment just to say you "deployed"

✓ How we teach instead

Show failures live — not just happy paths

Compare prompts constantly, explain tradeoffs

Discuss real-world limitations honestly

Let students debug — not just watch demos

Let's get you started.

Fill in the form and our team will reach out within 24 hours. Or just drop us a WhatsApp message directly.

Find Us

We're based in Hinjawadi, Pune's IT hub. Come meet us in person or reach out online — whichever works for you.

📍

Address Office No. 604, 6th Floor, Suratwala Mark Plazzo,
Hinjawadi, Pune, Maharashtra – 411057

📞

Phone +91 XXXXX XXXXX

✉️

Email info@rebindrise.com

💬

WhatsApp Chat with us directly

🕐

Hours Mon–Sat: 10:00 AM – 7:00 PM

Send an Enquiry

✅

Enquiry received! Our team will reach out to you within 24 hours.

Become an AI Engineer, not just an AI user.