The learning platform
Short video lessons, notes and a lab every week, opening one after another as you finish. Lifetime access to the core modules.

Curriculum
Ten modules from your very first line of code. Six core modules make you placement-ready; then Modern AI and the AI Engineer Stack, on the tools AI teams use today.
Your path
The core comes first, on every plan. Once you complete the program, your interviews start while Modern AI and the AI Engineer Stack carry on. Choose a plan to see yours.
The core · every plan
From your first line of code to deep learning. Finish them and 5 capstones in 15 days, pass the competency test and sign within 30 days (on Infinity, also 75% live-class attendance), and you’ve completed the program.
Starts at your very first line of code and builds the logic every later module uses, with practice after every lesson.
The maths behind every model, taught through examples, then put to work in Python.
The analyst’s toolkit: Excel and Power BI the way companies use them, and pandas for data in Python.
SQL from zero on a real company database, up to the queries analyst interviews test.
The models data scientists use every day, how to test them honestly, and a first look at generative AI.
How neural networks really learn, built by hand in PyTorch, up to the attention mechanism inside every LLM.
The capstone library
After Module 6, you submit 5 capstones in 15 days to complete the program: all five on Go, any five of 10 on Plus, any five of 25 on Infinity. Five is the minimum, not the limit. On Plus and Infinity, build every capstone in your library, up to all 25, whenever you like. We recommend it: each one is another real project in your portfolio.
Sales, categories and returns across a big sale, in one Power BI report
What makes a restaurant rate well, city by city and cuisine by cuisine
Where and when deliveries run late, and why
Who pays whom, when and how much, in SQL and a live dashboard
Returns, risk and sector mix for a portfolio of NSE stocks
Predict demand by zone and hour, so drivers are where riders will be
Find who is about to leave, and the offer that keeps them
Catch the rare fraudulent payment among millions of good ones
“You might also like”, built the way shopping apps build it
Forecast India’s consumer price inflation, month by month
Read thousands of beauty reviews and tell what customers feel
Rank the right products for what a shopper typed
Answers plan and recharge questions from the help pages, with sources
Tag catalogue photos automatically with transfer learning
Forecast prices with deep learning, and test it honestly
Predict when and where prices surge
The next song a listener will love, from what they play
Read invoices and bills into clean data with document AI
Spot the payments likely to fail before they do
Mandi prices for farmers, forecast market by market
What to watch next, and what a film will earn
Turn Hindi, Tamil and Bengali speech into text
Match resumes to a job description with an LLM, and explain why
What a room should cost, by city, season and rating
Ask a sales database in plain English, get the query and the chart
More on a bigger plan
15 more capstones on Infinity
Deep learning, GenAI and AI agents, for the biggest AI/ML Engineer roles.
Compare plansA cheat sheet with every capstone
The whole process, step by step, so you always know the next move.
After the competency test
They come after the test, so your interviews can start sooner. Modern AI is on every plan; then 40 hours of the AI Engineer Stack, from prompts to AI agents: Module 8 on Plus, all three on Infinity.
The Hugging Face Hub, pipelines, model cards and licences; running open models on your own laptop; choosing a model; AI for Indian languages.
Project: customer-intent detection in English, Hindi and Tamil, on Amazon’s MASSIVE data
Object detection and segmentation, document AI, speech to text and back, models that read images, image generation and its rules.
Project: a receipt and report reader, on IBM’s DocLayNet and NAVER Clova’s receipts; speech to text in Indian languages, on Google’s FLEURS
AI coding assistants and checking what they write, AI inside Excel and Power BI, no-code AI automation, responsible AI and India’s DPDP Act.
Project: a daily air-quality report for Indian cities, on the Central Pollution Control Board’s data
Closed and open models, reasoning models, tokens and cost; one interface to many models; structured output, tool calling, streaming.
Lab: one task, five models, on PolyAI’s Banking77 banking queries
System prompts, few-shot and reasoning; optimising prompts automatically; evaluation sets and LLM-as-judge; prompt injection and guardrails.
Lab: a prompt test suite for complaint triage, on the US Consumer Financial Protection Bureau’s complaints
Embedding models, chunking, vector stores and retrieval with citations.
Lab: a tax-help assistant, on the Income Tax Department’s Acts, circulars and FAQs
Front ends and an API back end, questions to SQL, a first agent that uses MCP servers, agents on Azure.
The GenAI project: an annual-report analyst, on Infosys, Wipro, HDFC Bank and ICICI Bank’s filings with the US SEC
Parsing PDFs, tables and scans; hybrid search, re-ranking and query rewriting; knowledge graphs; RAG over images.
Lab: a regulation assistant, on the EU AI Act and GDPR
RAG metrics and golden sets; prompting, RAG or fine-tuning; LoRA, QLoRA and DPO on small open models.
Lab: fine-tune a small model to triage the Consumer Financial Protection Bureau’s complaints
Serving open models, containers and GPUs; caching, rate limits and budgets; tracing and monitoring; the model registry; CI/CD.
Lab: ship the RAG service with tracing and an automatic test run
Deploy on one cloud and compare the others; the OWASP Top 10 for LLM apps; removing personal data; guardrails and governance.
Project 1: a development-research assistant, on the World Bank’s reports and indicators
The agent loop, tools, planning and memory; an agent from scratch; your own MCP server; agents talking to agents.
Lab: your own MCP server for Microsoft’s AdventureWorks sales database
State and graphs, human approval, hand-offs and recovery; the same agent built in three frameworks.
Lab: a climate and energy briefing team, on NASA and NOAA weather data
Browser and voice agents, agentic automation, evaluating agents, safety and cost control, managed agent platforms.
Lab: a voice banking assistant, on Google’s and PolyAI’s banking dialogues
Designing LLM systems for the interview round, the questions AI Engineer interviews ask, a portfolio that gets callbacks.
Projects 2 and 3: a customer-support agent for an online store, on Bitext’s support data and Microsoft’s AdventureWorks; a data-science copilot, on the Government of India’s open data
What you’ll build
Your capstones (all 5 on Go, up to 10 on Plus, up to 25 on Infinity), plus 20 industry projects on Go, or 35 and a GenAI project on Plus. Infinity adds 3 AI Engineer Stack projects and 3 real client projects. Below: the projects and labs of Modules 7 to 10, each on a real organisation’s public data.
Commits · last 26 weeks · an example
On Amazon’s MASSIVE data
On IBM’s DocLayNet and NAVER Clova’s receipts
On the Central Pollution Control Board’s data
On Infosys, Wipro, HDFC Bank and ICICI Bank’s SEC filings
On the Income Tax Department’s Acts and FAQs
On the World Bank’s reports and indicators
On Bitext’s support data and Microsoft’s AdventureWorks
On the Government of India’s open data
The tools
Every one used in a lesson or a lab, not just named. Pick a plan above to see yours.
Certificates
From Microsoft, AWS, Google Cloud, Databricks and NVIDIA, each issued and verified by the company itself: 1 on Go, 3 on Plus, all 10 on Infinity. Your free exams come once you complete the program, with our help to clear every exam, and our own verified certificate is on every plan.

Our certificateHow you learn
Short video lessons, notes and a lab every week, opening one after another as you finish. Lifetime access to the core modules.

Our AI assistant for your doubts, any time of day, on Go and Infinity, alongside your plan’s human support.


Saturday and Sunday, 11 AM to 2 PM IST, at most 75 in a batch, with live mentors. Pause once for up to a year while you’re doing the core. Watch a class

Your finish date
Choose your plan to see your date: 6 months on Go and Plus, 9 to 10 months on Infinity.
Plan
Infinity: from your batch start9 to 10 months
Every week you wait moves this date a week.
Success stories
Real learners of the Job Guarantee Program, with written consent: where they started, the job they got and how long it took.
Completing the program
Complete the 6 core modules and 5 capstones in 15 days (on Infinity, also 75% of the core’s live classes), pass the competency test and sign within 30 days. Your registration comes back in full, GST included, and these unlock:
Refund received
₹19,999
Registration refund (₹16,948 + ₹3,051 GST) from Skillcept Online.
Questions
Still unsure? Ask Prism, our AI assistant. It answers any time from the terms, and a person from our team takes over when you ask, 10 AM to 7 PM IST, every day. No sales calls.
Yes. Module 1 starts from zero: Python fundamentals, logic and files, with practice after every lesson. There’s no CGPA cut-off and no degree filter: anyone aged 18 to 55 with Class 12 can join.
About 10 hours a week. Go and Plus take 6 months to placement-ready. Infinity is live on weekends, 11 AM to 2 PM IST, and takes 9 to 10 months. Every plan gives you 12 months to complete.
School maths is enough to start. Module 2 teaches the probability and statistics data science uses, through examples, and Module 6 explains how neural networks learn step by step.
Go suits a Data Analyst role, with ₹6 LPA minimum salary assured, and includes Modern AI. Plus suits a bigger Data Scientist role, with ₹9 LPA or your salary + 35%, whichever is higher, and adds GenAI & LLMs. Infinity suits the biggest AI/ML Engineer roles, with ₹12 LPA or your salary + 85%, whichever is higher, live weekend classes and the full AI Engineer Stack. Compare them side by side.
You can watch lessons on a phone, but practice, projects and the competency test need a laptop or desktop and an internet connection good enough for video and coding. The heavier AI labs run in the cloud, so you don’t need a gaming GPU.
Go and Plus are self-paced, so you set the speed within your 12 months. On Infinity you can pause once, for up to a year, while you’re doing the core modules, then rejoin a later batch at the same point.
No answer for that here yet. Ask Prism: it answers from the terms, any time.
Data Science & AI Job Guarantee Program. Not placed after completing the program? You pay ₹0.
Plus: your total if hired ₹71,991, and your registration comes back in full, GST included.
See plans from ₹7,999 Compare plans Download the syllabus