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Career Transformation, Not Just Technology Training
Go from Software Engineer to AI Engineer in 90 Days
Learn to build production AI applications, AI agents, and retrieval systems through live mentorship, hands-on projects, and a structured roadmap designed for working professionals.
5+ Portfolio Projects
Production AI Agents
Live Mentor Support
Next cohort starts soon • No prior AI experience required
The shift from software engineer to AI engineer
A structured path from writing software to building intelligent systems.
Current
Software Professional
- Building features without understanding AI systems
- Learning from scattered tutorials and resources
- Watching AI opportunities without a clear path
- Unsure what skills companies actually need
Next Step
AI Engineer
- Designing and building AI-powered applications
- Following a structured 90-day learning path
- Creating real projects with modern AI tools
- Ready to contribute to AI engineering teams
Why engineers join this cohort
Most professionals don't struggle because they're incapable. They struggle because they don't have a clear roadmap, real projects, or consistent guidance.
Stop Chasing Tutorials
Most engineers don't struggle because AI is hard. They struggle because they're following random videos, blogs, and courses with no clear direction.
Build, Don't Just Watch
Every stage of the cohort is tied to hands-on projects. You'll learn by building AI applications, RAG systems, and production-ready agents.
Get Unstuck Faster
Instead of spending days searching for answers, get guidance, feedback, and support from mentors and peers who are on the same journey.
The goal isn't to learn another AI tool.
The goal is to become the kind of engineer who can design, build, and deploy AI systems with confidence.
What you'll build by the end
Practical skills, real projects, and the foundation to grow as an AI Engineer.
Build Real AI Applications
Move beyond AI tutorials and learn how to design and ship working AI applications from idea to deployment.
Create Portfolio Projects
Build practical AI systems you can explain, demo, and discuss during interviews and technical conversations.
Understand Production AI
Learn how modern AI systems are structured, connected, deployed, and improved in real-world environments.
Build AI Engineering Confidence
Develop the skills and vocabulary to confidently participate in AI engineering projects and opportunities.
90-days Roadmap
Your roadmap to becoming an AI Engineer
A mentor-led 90-day journey where software engineers learn LLMs, RAG, AI agents, and deployment by building real AI applications.
1
Weeks 1-2Foundations
Python & AI Engineering Fundamentals
Build a solid engineering foundation with Python, modern AI APIs, prompt engineering, and the development workflow used to build AI applications.
Python for AI development
Working with Modern LLM APIs
Prompt Engineering
Structured Outputs
Function Calling
Build your first AI application
Outcome
Deploy your first AI-powered application.
2
Weeks 3-4AI Applications
Modern AI Application Development
Move beyond simple chatbots and learn how production AI applications are structured using modern frameworks and engineering patterns.
LangChain
LangGraph
Conversation Memory
Tool Calling
Prompt Chaining
AI Application Architecture
Outcome
Build reliable AI applications that solve real problems.
3
Weeks 5-6RAG
Knowledge Systems
Teach AI to search, retrieve and reason over private business knowledge using Retrieval-Augmented Generation.
Vector Databases
Embeddings
Document Processing
Chunking Strategies
Hybrid Search
Evaluation
Outcome
Ship a production-ready RAG assistant.
4
Weeks 7-8Agents
AI Agent Engineering
Build autonomous AI agents capable of reasoning, planning, calling tools, and completing multi-step workflows.
Agent Design
Multi-Agent Systems
Planning
Memory
MCP Fundamentals
Tool Integrations
Outcome
Create autonomous AI agents.
5
Weeks 9-10Production
Connecting AI to Real Systems
Integrate AI with APIs, databases, authentication, and external services to create applications that work in production.
REST APIs
Authentication
Databases
Background Jobs
File Processing
Production Patterns
Outcome
Build AI systems that interact with real software.
6
Weeks 11-12Deployment
Deploy, Scale & Launch
Learn how AI applications are deployed, monitored and optimized before preparing your portfolio for interviews.
FastAPI
Docker
Cloud Deployment
Monitoring
Portfolio Polish
Interview Preparation
Outcome
Launch a complete production AI application.
By the End of 90-days
Software Engineer → AI Engineer
You'll graduate with production-ready AI engineering skills, a portfolio of real-world projects, and the confidence to build AI systems professionally.
5+ AI Engineering Projects & Experiments
Production AI Agent
Enterprise RAG Application
Deployable AI SaaS
GitHub Portfolio
Interview-Ready AI Engineering Skills
Build the AI projects that get you noticed
Not tutorial exercises. Real AI systems designed to demonstrate the skills companies look for in AI Engineers.
Support Ticket Automation Agent
An AI agent that reads incoming support requests, understands intent, prioritizes urgency, and routes issues automatically.
Skills demonstrated
AI AgentsAutomationDeployment
Why it matters
Demonstrates how AI can automate real operational workflows.
Internal Knowledge Assistant
A RAG-powered assistant that answers questions from company documents, policies, and internal knowledge bases.
Skills demonstrated
RAGLLMsVector Search
Why it matters
Shows your ability to build AI systems using private business data.
Codebase Intelligence Assistant
An AI tool connected to a real codebase that understands files, explains code, and helps developers solve problems faster.
Skills demonstrated
MCPAI AgentsDeveloper Tools
Why it matters
Demonstrates AI engineering applied to software development.
Sales Intelligence Platform
An AI pipeline that analyzes conversations, extracts insights, summarizes actions, and creates structured business data.
Skills demonstrated
LLMsData ProcessingProduction AI
Why it matters
Shows how AI can transform business processes end-to-end.
Leave with a portfolio that proves your AI Engineering skills
Instead of certificates alone, you'll have working systems you can discuss in interviews, share with employers, and continue improving.
AI Applications
RAG Systems
AI Agents
Production Deployments
Invest in Your AI Engineering Career
Structured mentorship, real projects, and a clear path to production-ready AI skills.
Most Popular/ 90-days
AI Engineer Launchpad
₹30,000Save ₹6,000
₹24,000
Early cohort pricing • Limited seats available
Live Cohort · Mon-Fri · 1 Hour Daily + Weekend Projects
- 90-day structured live cohort
- Daily mentorship, Mon–Fri
- Weekend projects & Q&A
- Portfolio-ready AI projects
- Career transition support
Before you join, here's what you should know
Clear answers about the cohort, projects, time commitment, and outcomes.
Start Your AI Engineering Journey
Ready to move from software professional to AI Engineer?
Build real AI systems, work on portfolio projects, and get guidance through a structured path designed for working professionals.
Next cohort starts soon · No prior AI experience required
Live Mentorship
Real AI Projects
Career-Focused Roadmap