Cohort 2026 · Admissions open · Hyderabad
Six tracks.
One future.
Train to become an AI Engineer
30-day intensive programs built on the skills AI employers are hiring for in 2026 — agents, MCP, LLM post-training, AI security, LLMOps and robotics. 10 projects and 3 levels per track, led by Dr S Satyanarayana and industry faculty.
Choose your track
Each track is a complete 30-day program with its own syllabus, toolset, ten domain projects and a list of 2026 job titles it prepares you for.
Not sure which track fits?
Answer two questions and we will match you to a track.
1. What do you want to spend your days doing?
2. What is your background?
Pick your answers
Your recommended track and the roles it leads to will appear here.
The 2026 syllabus
Rebuilt for 2026 hiring. Every day is scheduled, and topics that were not in AI job descriptions two years ago are marked 2026.
Ten domains, in every track
Your ten projects span the same ten industries, so your portfolio shows range — not ten versions of one demo.
How the 30 days run
Mornings are instruction, afternoons are lab time on real datasets, and each evening closes with a project review.
Days 1–10 · Level 1
Foundation
Core concepts and the 2026 toolchain, applied the same day. Three working projects by day 10.
Days 11–20 · Level 2
Applied
Current methods on messy, domain-specific data. Four more projects, each reviewed by faculty.
Days 21–30 · Level 3
Industry and hiring
Deployment, security and governance, a capstone, mock technical interviews and a demo day in front of hiring reviewers.
Led by Dr S Satyanarayana
Ph.D., PDF(AI), FARSC · Founder, AlgoProfessor AI R&D Software Solutions
Research, innovation, impact
Every track is designed and led by Dr S Satyanarayana, with sessions from industry faculty who ship AI systems for a living. The syllabus comes from active research and product work — agentic AI, quantum ML, AI in healthcare — rather than last year's tutorials.
Faculty review every project you submit, and Level 3 capstones are assessed by reviewers from industry.
Track record
Open to research collaborations, R&D consultancy and university partnerships — get in touch.
Questions we get asked
How is this syllabus aligned with 2026 hiring?
Each track was rebuilt around the skills that appear in 2026 AI job descriptions — agent frameworks and MCP, LLM evaluation, post-training, AI security, LLMOps, vision-language-action models and AI governance. Topics new to hiring since 2024 are marked "2026" in the syllabus, and Level 3 ends with mock interviews for the exact roles listed on each track.
Who can apply?
Final-year students, graduates and working professionals from engineering, science or commerce backgrounds. Basic programming helps; Day 1 includes a Python refresher. Physical AI assumes comfort with basic electronics.
What does the ₹1,00,000 fee include?
All three levels, lab access, course material, all ten project reviews, capstone mentoring, mock interviews, demo day and the completion certificate. Write to us for the current payment schedule and any applicable taxes.
Can I take more than one track?
Yes. Tracks run as separate 30-day cohorts, so you can take them back to back. Popular pairings are Agentic AI Scientist with AI Architect, and Data Scientist with AI Scientist.
What do I receive at the end?
A certificate for each level you complete, a public portfolio of ten projects, your capstone repository, mock-interview feedback and a faculty recommendation based on demo day.
Where and when are classes held?
At the AlgoProfessor campus in Hyderabad, Telangana, Monday to Saturday, 10:00 to 19:00. Ask us about batch formats for upcoming cohorts.
Collaborate, apply or ask
Tell us which track interests you. An advisor replies within one working day.
Hyderabad, Telangana, India
Mon–Sat, 10:00–19:00