Join a practical, in-person AI engineering course in Pune and learn to build, deploy, and monetize AI-powered websites, mobile applications, agents, automations, and digital products.
System prompts, few-shot reasoning & token optimization.
Frontend/backend mental model + GitHub version control.
Postgres schemas, Row-Level Security (RLS) & Auth.
JSON data flow, GET/POST & environment variables.
System prompts, few-shot reasoning & token optimization.
Frontend/backend mental model + GitHub version control.
Postgres schemas, Row-Level Security (RLS) & Auth.
JSON data flow, GET/POST & environment variables.
Connecting OpenAI & Claude APIs for live features.
Connecting LLMs directly to tools, databases & files.
Multi-step agentic loops, tool calling & memory.
Cross-platform mobile apps tested on real phones.
Connecting OpenAI & Claude APIs for live features.
Connecting LLMs directly to tools, databases & files.
Multi-step agentic loops, tool calling & memory.
Cross-platform mobile apps tested on real phones.
We don't teach AI as a temporary trend. We teach you how to use AI as a lasting engineering advantage.
Companies are not replacing developers with AI. They are replacing developers who don't know how to build with AI.
Modern engineering teams need builders who can connect AI models to real interfaces, data, tools, and deployment workflows—not only write prompts.
Learn how to integrate LLMs, build autonomous AI agents, automate complex workflows, and connect AI seamlessly with real business data.
Master LLMs, AI Agents, RAG, MCP, cloud infrastructure, and modern AI developer tools to solve real-world problems and ship software.
Designed for ambitious individuals who want a distinct technical advantage in today's technology landscape.
Complement your university education by building working AI application prototypes and a practical project portfolio.
IT professionals, junior developers, and job seekers upgrading from traditional software development into modern AI engineering roles.
Developers looking to integrate AI into existing products and dramatically increase technical productivity.
Entrepreneurs, freelancers, and product leaders building AI-powered products and high-impact startups.
Your degree, university, or current job title doesn't determine your future. Your willingness to build does.
Every class follows the same gentle rhythm of understanding, watching, building, and improving so you always know what is coming next.
Learn each concept through simple explanations and visual examples before touching any code.
Follow a live instructor-led demonstration of the feature or application you're about to build.
Create the feature or application during class, with the instructor present and available throughout.
Complete a short assignment and add personal features that make the project genuinely yours.
Every class includes a live build. Every student leaves with something working.
The curriculum follows the exact sequence used to turn an idea into working software:
Create a custom AI assistant with defined behaviour, system instructions, constraints, and structured outputs.
Build a multi-page web interface using AI coding tools and push clean source code to GitHub.
Connect Supabase database storage, user email sign-up/login, and Row-Level Security (RLS).
Integrate AI APIs and build a RAG chatbot grounded in uploaded PDF document context.
Build a simple AI agent or MCP protocol setup that executes external database and file tasks.
Build a cross-platform mobile app connected to your backend and run it live on your physical smartphone.
Deploy your web app to Vercel/Netlify with custom domains and generate installable mobile APK builds.
Add landing page copy, configure analytics, test payment gateways, and present app during Demo Day.
Every class is three hours of instructor-led, hands-on building. Click any class to see what you'll learn and build that day.
Understand LLM fundamentals (tokens, context window, temperature), when to use ChatGPT vs Claude vs Gemini, and master system prompts, few-shot, and chain-of-thought prompting.
How LLMs work under the hood (tokens, context window, temperature), when to choose ChatGPT vs Claude vs Gemini, and deep prompt engineering: system prompts, few-shot prompting, and chain-of-thought reasoning.
Master the mental model of frontend, backend, APIs, and databases. Git & GitHub basics, and hands-on AI developer workflows using Antigravity, Cursor, v0, Lovable, and Bolt.
Mental model of frontend/backend/API/database. Git + GitHub version control basics. Hands-on training using Antigravity and modern AI builders (Cursor, v0, Lovable, Bolt) to generate, edit, debug, and maintain clean production code.
From idea to database schema to working UI. Implement database storage, authentication, and row-level security (RLS) with Supabase.
Idea → database schema → UI → backend logic. Setting up persistent database tables, email authentication, and Row-Level Security (RLS) with Supabase so users only see their own data.
Learn REST API concepts (GET, POST, JSON), connect external APIs, and integrate OpenAI or Claude APIs using secure environment variables.
REST API concepts, JSON data formatting, connecting public APIs, integrating OpenAI/Claude API, and managing environment variables to keep API keys safe.
Connect LLMs to real tools and data using Model Context Protocol (MCP), tool-calling, and autonomous AI function calling.
What Model Context Protocol (MCP) is and why it's a game-changer for connecting LLMs to tools/data. Building AI agents, tool-calling, and function-calling loops.
Introduction to React Native + Expo and AI mobile builders. Reuse web logic to create native-feeling mobile applications tested on your phone.
React Native + Expo basics, AI mobile builders, shared logic between web and mobile, navigation, and testing cross-platform apps directly on real mobile devices.
Deploy web apps on Vercel/Netlify with custom domains, build mobile APKs, and learn debugging, security, and performance best practices.
Web deployment to Vercel/Netlify, custom domain setup, mobile APK builds, environment management, security basics, error handling, and debugging AI-generated code.
Turn your app into a product with landing pages, analytics, and payments (Razorpay/Stripe). Learn freelancing & SaaS monetization, ending with Demo Day.
Landing page optimization, analytics basics, payment integration (Razorpay/Stripe), freelancing strategies, landing first clients, and presenting technical products.
After successfully completing the course, you receive your Certificate of Completion and move into a guided Live Client Project Internship provided by Scalimo Academy.
After successfully completing the course and required project work, receive an official Scalimo Academy certificate as evidence of your committed, hands-on AI engineering learning.
Non-accredited completion credential linked to attendance and successful project submission.After completing the course, Scalimo Academy provides a guided internship on a live client project. Contribute to real project tasks, participate in reviews, and build practical delivery experience beyond the classroom.
Client confidentiality and project delivery guidelines apply. This project-based internship is not an employment or job-placement guarantee.All eight classes are conducted live at our dedicated learning hub in Pune with backup high-speed fiber internet, power at every desk, widescreen displays, and instructors in the room.
Convenient transit access from Kothrud, Baner, Hinjewadi, Viman Nagar, Kharadi, and Shivajinagar.
Direct connectivity via metro and bus transit points with dedicated two-wheeler and car parking on site.
Dual backup fiber Wi-Fi networks, dedicated desk power sockets, and wide presentation displays.
3-hour weekend build sessions with instructors present in the room inspecting and resolving code errors live.
This program is an investment in your technical career. Pricing reflects the depth of the curriculum and the exclusivity of our in-person cohorts.
Focus: Single Weekend Core Module (6 Hours)
Focus: Complete End-to-End AI Software Development (4 Full Weekends)
Got questions? Here are clear, straightforward answers about how the Pune AI Bootcamp works.
The bootcamp takes place completely in-person at our dedicated learning venue in Pune, Maharashtra. You'll work on your own laptop with instructors in the room helping you live. We'll share the exact venue address, Google Maps location, and parking details as soon as your application is approved.
We keep class sizes small (maximum 20 students) so everyone gets personal attention. In a smaller group, our instructors can sit next to you, review your code, and help you fix errors right away.
You don't need a computer science degree or years of coding experience! If you know how to use a laptop and complete our simple pre-class setup, we'll teach you step-by-step how to use modern AI tools like Antigravity, Cursor, and v0 to build real software.
It is 100% offline and in-person in Pune. Being in the same room with instructors and classmates makes learning much faster because you get immediate help whenever you get stuck.
RAG stands for Retrieval-Augmented Generation. It lets an AI chatbot read your own private files or PDFs and answer questions accurately without making things up. In Class 4, you'll build your own RAG chatbot that answers questions based on documents you upload.
An AI Agent is an AI assistant that doesn't just talk—it can take actions, use tools, search databases, and complete multi-step tasks on its own. MCP (Model Context Protocol) is the standard way AI connects to files and tools. You'll build your own AI agent in Class 5.
No, this is a hands-on product building course! We don't teach math formulas or model-training theory. Instead, we focus 100% on practical application: connecting AI APIs, building web and mobile apps, and launching live products.
By the end of the bootcamp, you'll have worked through four portfolio prototypes: a full-stack web application with user login, a document RAG chatbot, a tool-using AI agent, and a mobile app running on your smartphone. Production use requires further testing, security hardening, and maintenance.
Yes! In Classes 6 and 7, you'll build a mobile app using React Native and Expo, test it live on your own Android or iPhone, and learn how to generate an installable Android APK file.
The curriculum uses GitHub for version control, Supabase for databases and login, OpenAI and Claude APIs for AI features, React Native and Expo for mobile development, Vercel for website hosting, and Razorpay or Stripe for payment-integration exercises.
Bring any working Mac, Windows, or Linux laptop with Google Chrome installed, along with your charger. Our classroom provides high-speed Wi-Fi and power sockets at every seat.
Yes! Students who attend the classes and complete their project builds receive an official Certificate of Completion from Scalimo Academy of AI, along with live project links and a GitHub portfolio to show potential employers or clients.
Transform your idea into a working web application, mobile product, AI agent, or SaaS business through guided, hands-on learning in Pune.
Offline weekend classes with limited seats per cohort in Pune, Maharashtra.