Now enrolling for the September 2026 batch, limited seats/95% of fellows placed across leading product companies/Feel free to reach out to us at +91 89259 32839 / +91 89259 32841 and we'll get in touch with you shortly/
Now enrolling for the September 2026 batch, limited seats/95% of fellows placed across leading product companies/Feel free to reach out to us at +91 89259 32839 / +91 89259 32841 and we'll get in touch with you shortly/
Fellowship Programs

Seven programs. One outcome-driven format.

Live mentorship, real project work and a clear placement pathway, across the technology domains hiring the most right now.

Every track runs through the same structure regardless of domain — build on live projects, earn a transparent readiness score, then move through interview prep into our network of 150+ hiring partners. The technology changes; the path to a job doesn't.

AI & Machine Learning

AI & Machine Learning

From zero to production AI.

Ideal for: Fresh graduates and professionals moving into AI/ML roles.

Salary Range

₹6 to ₹24 LPA

Duration

24 Weeks

Mentor Ratio

1:8

AI EngineerML EngineerData Scientist

Curriculum Highlights

  • 390+ hours of live instruction across 5 structured phases
  • Build 5 deployed AI products, including a RAG chatbot and a full MLOps pipeline
  • 1:8 mentor-to-fellow ratio throughout the program
  • Portfolio-ready projects reviewed by practising engineers

Core Skills

PythonMachine LearningDeep LearningNLPComputer VisionGenerative AIMLOps
Earning Potential

Salary range, by program.

Entry-level to mid-career compensation reported across our hiring partner network, in ₹ LPA.

Top earners reach ₹28 LPA in Cloud Engineering & DevOps
Software & AIData & SecurityCloud & Platform
Cloud Engineering & DevOps
₹8–₹28 LPA
Cybersecurity
₹5–₹25 LPA
AI & Machine Learning
₹6–₹24 LPA
Generative AI for Professionals
₹4–₹24 LPA
Java Full Stack Development
₹5–₹20 LPA
Data Intelligence & Engineering
₹5–₹18 LPA
ServiceNow Admin & Developer
₹6–₹18 LPA
Fellow Outcomes

Different programs, the same result.

Two fellows, two different tracks — hear how the same live-project format worked for each of them.

KS

Karthik Subramaniam

ServiceNow Developer

“The ServiceNow track took me from basic configuration to real enterprise development — the same structured format the AI batch next to us was using, just a different stack.”

DB

Divya Bharathi

Business Analyst

“Coming from a non-technical background, the Data Science program's structure — SQL to dashboards to models — made the jump into analytics manageable.”

Programs FAQ

Choosing a program, answered.

Still deciding between tracks? Talk to a mentor and we'll help you choose.

Start with the domain that interests you or matches your current role — every program page lists who it's ideal for. Still unsure? Talk to a mentor and we'll match your background and goals to a track.

Yes. Every track runs through the same format regardless of domain — live mentorship, a 1:8 mentor-to-fellow ratio and real project work. The technology changes; the structure doesn't.

No. Each program is built to take you from fundamentals to production-grade work. What matters more is the time you're willing to put in each week.

They reflect realistic starting ranges by domain, drawn from where our fellows have actually been placed — not projected or advertised figures.

Yes. Regardless of domain, your projects and assessments roll into one readiness score; crossing the threshold unlocks interview prep and our 150+ hiring partners.

Talk to your mentor as early as possible. Moves are handled case by case, depending on how far you are into the program and seat availability on the new track.

September 2026 Batch, Limited Seats

Pick a program. We'll build the plan around it.

Talk to a working engineer about which of the seven programs fits your background, and we'll map the batch dates and next steps.