Our 3rd anniversary: the full program is ₹14,999 instead of ₹56,999.
See what's includedSelf-paced · Built for India · Start any day
Go from your first line of Python to shipping production AI: LLM apps, RAG, agents and deployment. 13 modules. 12 portfolio projects. Every skill proven.
Real screens from the learning app, not mock-ups. Lesson 1.1 is free, so you can try all of it before you buy.
Notes
Every lesson starts with where the idea shows up in real AI work, then builds it up one step at a time with worked examples. Lesson 3.8 alone is a 70-minute read on gradient descent, from a single step to mini-batches and learning-rate tuning.
Labs
Python runs inside your browser, so there is nothing to install. Each lab cell has checks that turn green when your code is right, and a finished lab gives you a personal completion code.
Practice path
Every lesson has three to six short sessions: put code lines in order, predict the output, fill the gap, spot the bug, match terms. Nova, your practice buddy, keeps score. Questions you miss come back after one day, then three, then seven.
Progress
Every lab you pass, exam you clear and project you ship is recorded. Every certificate carries a public ID that anyone can verify online.
Thirteen modules. One path from your first script to production AI.
From your first line of Python to production LLM apps, RAG, agents, evals and fine-tuning. Reverse-engineered from 2026 AI-engineer job descriptions.
13 modules. Each one ends with work you can show.
A look at Lessons 2.5 and 3.8.
Notes, Lesson 3.8: gradient descent
Take a small step against the slope of the loss. The learning rate η sets the step size.
θ = 2.0, η = 0.1, ∂L/∂θ = 4.0 gives θnew = 1.6
Code lab, checked in your browser
def step(theta, grad, lr=0.1):
return theta - lr * grad
print(step(2.0, 4.0)) # 1.6Lesson 2.5 exam
A fraud team's script sees about 5 million device IDs per day and must flag any device that shows up more than once. For each incoming ID it asks 'have I already seen this?'. Which container should hold the IDs already seen?
Practice workbook, Lesson 2.5
62 items in 4 sections
Glossary search: "learn"
Self-paced means it fits around a job, college or a career switch. Pick who you are and how many hours you have, and see where you'd be each week.
Hours are the guided hours for every module, including those still to be published. Your pace will vary.
Plan your pace
I am a
Evenings and weekends. Start with Module 1's tools and use the labs on problems from your own job.
These open roles ask for exactly what you'll master here.
growth in AI/ML hiring in India, July 2026 vs July 2025
Source: Naukri JobSpeak, Jul 2026of Indian recruiters struggle to find qualified candidates
Source: LinkedIn, Jan 2026typical fresher pay for GenAI specialists in India
Source: Instahyre, Jun 2026of AI-engineer roles are production work, not research
Source: 889 job descriptions, AI Shipping Labs, Jan 2026| Aspect | Typical online course | Synaptova |
|---|---|---|
| Proof of skill | Watch-time certificate | Graded labs, exams and portfolio projects |
| Evaluations and AI security | Rarely covered | A full module |
| Working with coding agents | Rarely covered | A full module |
| Projects | Follow-along | 12 deployed, on Indian data |
| Learning by doing | Mostly watching | Code in every single lesson |
| Kept current | Recorded once | Updated as the industry moves |
Still curious? Talk to us.
No. Module 1 starts from zero and takes you step by step into real code. Give it 60–90 minutes a day.
In sequence. Complete a module and the next one opens, so every new skill builds on the last. You can read the full curriculum of every module before you enrol.
Nobody can promise you a job, and anyone who does is selling you something. What you will have: the skills in today's AI-engineer job descriptions, 12 projects to show and a verified readiness score.
We turn three this year. To celebrate three years of teaching AI, the complete program is at its anniversary price. After the offer ends, the price returns to ₹56,999.
A laptop and an internet connection. Labs run right in your browser, so there's nothing heavy to install.
Self-paced. Start any day, study at your own hours and revisit any lesson whenever you need to.
AI vs ML vs DL vs GenAI: deep notes, a hands-on lab and a quiz. No card. No catch.