Light up your career this Diwali.
The batch is starting soon. Early bird: ₹1,999 for the first 30 seats.
Don't just graduate.
Graduate AI-ready.
Learn the AI that top companies are hiring for, straight from IIT alumni and ex-Meta and ex-Google engineers. Live classes, real projects, and a badge recruiters notice.
AI is moving faster than your syllabus. Keep pace.
Recruiters now expect freshers from every branch to use AI in their work. The AI Enabler Badge upgrades your engineering curriculum so you graduate ready, not behind.
CSE and IT
Build with LLMs, RAG and AI agents, and code faster with AI tools that top teams already use.
ECE, EE and E&T
Apply AI to signals, IoT and edge devices, and understand the hardware that runs modern AI.
Civil and Mechanical
Use AI for design, simulation, quality checks and planning, and stand out in core-industry interviews.
Two tracks. From your first AI app to enterprise AI.
Every track is 40 hours of live online classes over 3 months, with 8 hands-on modules and a capstone project you can show recruiters.
AI for Beginners
Go from "what is AI?" to building and deploying your own AI app with RAG and AI agents, the skills employers are hiring for today.
- 01AI, ML and GenAI essentialsAI vs ML vs deep learning vs GenAI, real-world applications and AI career paths.
- 02Python and ML for AIPython, NumPy and pandas; regression, classification and a first neural network with scikit-learn.
- 03Inside LLMs and prompt engineeringTokens, transformers, context windows, choosing a model, and few-shot and structured prompts.
- 04Your first AI appCalling an LLM API from Python and building a working chatbot.
- 05Embeddings and RAGVector databases, semantic search, and answering questions from your own documents.
- 06AI agents and MCPTool use, function calling, and connecting AI to APIs and data with the Model Context Protocol.
- 07Testing and responsible AIEvaluating output, catching hallucinations, guardrails, bias and privacy.
- 08Deploying your AI appShipping with FastAPI, Docker, a simple web interface and cloud basics.
- AI interview coachAsks role-specific questions, scores your answers and tells you exactly what to improve.
- Bharat language assistantAnswers questions on government schemes or college rules in Hindi and English, citing its sources.
- Job-hunt AI agentReads a job description, tailors your resume and drafts the application for you to review.
Advanced AI for Enterprise Application Building
How companies build, secure and run AI at scale. Prepares you for AI engineer, architect and consultant roles.
- 01Enterprise AI architectureFitting AI into existing systems, APIs and data platforms.
- 02Multi-agent systemsPlanning and multi-agent workflows with LangGraph, connected to enterprise tools through MCP.
- 03Fine-tuningWhen to fine-tune instead of using RAG, and lightweight methods such as LoRA.
- 04LLMOps and MLOpsVersioning, CI/CD, monitoring, and managing cost and latency in production.
- 05Cloud AI platformsAzure OpenAI, AWS Bedrock and Google Vertex AI; deciding when to build and when to buy.
- 06AI security and governancePrompt injection, data leakage, access control, the EU AI Act and India's data protection law.
- 07AI-assisted software engineeringHow development teams use AI coding assistants productively and safely.
- 08AI strategy, ROI and case studiesBuilding the business case, rolling AI out across a company, and lessons from real adoptions.
- Multi-agent support copilotAgents that triage tickets, pull answers from company systems through MCP and hand off to humans safely.
- Secure plant-knowledge assistantA RAG system over manufacturing manuals with access control, guardrails and cost monitoring.
- AI code-review botReviews pull requests for bugs and security issues and runs inside a CI/CD pipeline.
13 weeks. 26 live classes. 90 minutes each.
Two live online classes a week, about 40 hours in total, timed around college hours. Open a track to see every class.
Track 1 · AI for Beginners
| Week | Class 1 · 90 min | Class 2 · 90 min |
|---|---|---|
| Week 1 | Welcome: what AI, ML, deep learning and GenAI really are | AI in every engineering branch, career paths, setting up Colab |
| Week 2 | Python essentials: variables, loops, functions | NumPy and pandas for working with data |
| Week 3 | ML I: regression, train/test split | ML II: classification, clustering and metrics |
| Week 4 | Neural networks: how machines learn | Hands-on: build an image classifier |
| Week 5 | Inside LLMs: tokens, transformers, context windows | Choosing a model: open vs closed, cost vs quality |
| Week 6 | Prompt engineering: zero-shot, few-shot, roles | Structured outputs + capstone problem pitch |
| Week 7 | Your first AI app: calling an LLM API | Build a chatbot with memory |
| Week 8 | Embeddings and vector databases | RAG I: chunking and retrieval |
| Week 9 | RAG II: reranking and citing sources | AI agents: tool use and function calling |
| Week 10 | MCP: connecting AI to tools and data | Testing, hallucinations and guardrails |
| Week 11 | Responsible AI: bias, privacy, honest use | Deploy it: FastAPI, Docker and the cloud |
| Week 12 | Capstone lab I + mentor code review | Capstone lab II + polish |
| Week 13 | Demo Day rehearsal + resume and LinkedIn | Demo Day and badge award |
Track 2 · Advanced AI for Enterprise Application Building
| Week | Class 1 · 90 min | Class 2 · 90 min |
|---|---|---|
| Week 1 | Welcome: the enterprise AI landscape | Enterprise AI architecture: systems, APIs, data platforms |
| Week 2 | Reference architectures: RAG at scale | Data pipelines and API design for AI |
| Week 3 | Multi-agent systems I: planning with LangGraph | Multi-agent systems II: enterprise tools via MCP |
| Week 4 | Agent reliability: evals and human-in-the-loop | Capstone problem pitch and design brief |
| Week 5 | Fine-tuning vs RAG: when and why | Hands-on: fine-tuning with LoRA |
| Week 6 | LLMOps I: versioning and CI/CD | LLMOps II: monitoring, cost and latency |
| Week 7 | Cloud AI: Azure OpenAI | AWS Bedrock and Google Vertex AI; build vs buy |
| Week 8 | AI security: prompt injection and data leakage | Access control and red-teaming |
| Week 9 | Governance: EU AI Act and India's DPDP Act | Capstone design review |
| Week 10 | AI-assisted software engineering | AI code review and testing workflows |
| Week 11 | AI strategy, ROI and the business case | Case studies: how real companies adopted AI |
| Week 12 | Capstone lab I + architecture defence | Capstone lab II + security and cost review |
| Week 13 | Panel rehearsal + AI engineer interview prep | Panel demo and badge award |
Learn AI directly from the hands that build it.
Our international technocrats bring real industry experience to every live class. You learn how AI is actually built, not just how it is taught.
IIT alumni
Mentors trained at India's top engineering institutes, who know exactly where freshers get stuck.
Ex-Meta engineers
Hands-on experience building AI products used at global scale.
Ex-Google engineers
Industry practitioners who have shipped AI and cloud systems in the real world.
From registration to badge in four steps
- 1RegisterChoose your track and lock in the Diwali price of ₹1,999.
- 2Join your batchGet your batch schedule, with live classes timed around college hours.
- 3Learn live for 3 months40 hours of live online classes, 8 modules and a capstone project.
- 4Earn your badgeGet the AI Enabler Badge and share it on LinkedIn and your resume.
AI Enabler Badge
- 40 hours of live learning over 3 months
- Live online batch classes with industry mentors
- Your choice of track: AI for Beginners or Advanced AI for Enterprise Application Building
- Mentors who are IIT alumni and ex-Meta and ex-Google engineers
- Shareable AI Enabler Badge
Register for the next batch
Fill in a few details and our team will call you to confirm your seat and batch timing. It takes under a minute.
- • Full name and mobile number
- • Pass-out year and branch
- • Seat confirmation from our team
Our team will call you to confirm your batch.
Frequently asked questions
Do I need to know coding or AI before joining?
No. The AI for Beginners track starts from the basics, and mentors take you through it step by step.
How are the classes held?
All 40 hours are live online classes in a batch, so you can ask the mentor questions in real time.
Which branches can join?
All engineering branches: CSE, IT, EC, EE, E&T, Civil and Mechanical.
How long does the Diwali price last?
₹1,999 applies to the upcoming batch while seats are available. The regular price is ₹10,999.
