Classroom Tech 2026 Annual Program — Your Complete AI Career Launchpad
Explore Classroom Tech's 2026 AI/ML annual program. What's included, who it's for, outcomes, and how to enroll. Satyaki Das's structured learning ecosystem.
The AI revolution is not waiting. If you're a student or professional in India who wants to build a career in AI/ML, there's never been a better time — or a better program — than Classroom Tech 2026.
Who Is This Program For?
Students:
- BCA, B.Tech, MCA, M.Tech, BSc, MBA students
- Final year students preparing for campus placements
- Students from average colleges who want to compete with top-tier graduates
Working Professionals:
- 0–3 years experience looking to get into AI/ML
- Professionals in non-tech roles wanting to transition
- Developers who want to upskill from basic programming to AI
What Makes Classroom Tech Different
1. Mentorship by a Practitioner
Satyaki Das isn't a full-time online educator — he's a Java Full Stack Developer at TCS, GATE-qualified, and has 11+ years of teaching experience. When you learn from him, you learn from someone who does this work daily.
2. Placement-First Curriculum
The curriculum isn't designed to teach everything. It's designed to get you hired:
- Exactly what TCS, Wipro, Infosys, Accenture interviewers ask
- Real projects that show portfolio value
- Resume and LinkedIn optimization
- Mock interviews with feedback
3. Structured Progression
No tutorial hell. No figuring out what to learn next.
Module 1: Python for Data Science (Weeks 1-4)
Module 2: Statistics + SQL for Data Analysis (Weeks 5-8)
Module 3: Machine Learning with scikit-learn (Weeks 9-12)
Module 4: Deep Learning with PyTorch (Weeks 13-16)
Module 5: NLP + LLMs + Generative AI (Weeks 17-20)
Module 6: Capstone Project + Placement Prep (Weeks 21-24)
Total Duration: 6 months (part-time, evenings and weekends)
4. Community and Accountability
Through XShare (co-founded by Satyaki Das):
- Peer learning cohorts
- Weekly progress check-ins
- Accountability partners
- Project collaboration
5. Real Placement Record
Students placed at (via Classroom Tech network):
- TCS, Wipro, Infosys, Accenture (service companies)
- EY, Deloitte, Capgemini (consulting)
- AI/ML startups
- Data analytics companies
Program Outcomes
After 6 months, you will have:
- Python proficiency (data science level)
- Machine learning skills (theory + implementation)
- Deep learning and NLP basics
- 3–5 portfolio projects on GitHub
- Interview-ready resume and LinkedIn
- 5+ mock interviews completed
- Connections in the tech industry
How to Enroll
- Visit code.classroomtech.in
- Explore the current course offerings
- Book a free consultation call with Satyaki Das on Topmate
- Discuss your background, goals, and the right program
- Enroll and start your transformation
Contact
📍 Kolkata, West Bengal (online program, available pan-India)
📞 8981838547
🔗 code.classroomtech.in | classroomtech.in
💼 LinkedIn: Satyaki Das
🗓️ Book 1:1 Session
Your AI career starts with one decision. Make it today.
About Satyaki Das & Classroom Tech
Satyaki Das is the Founder of Classroom Tech and Co-Founder of XShare. He holds an MTech in Computer Engineering from Jadavpur University and an MCA from Techno Main, Salt Lake, Kolkata. A Java Full Stack Developer at TCS, GATE-qualified, and Codevita Rank 848, Satyaki has 11+ years of teaching experience mentoring BCA, B.Tech, MCA, and working professionals into roles at TCS, Wipro, Infosys, Accenture, EY, Deloitte, and Capgemini.
📍 Kolkata, West Bengal, India | 11k+ LinkedIn Followers
🔗 LinkedIn | 💻 code.classroomtech.in | 📘 classroomtech.in
🗓️ Book 1:1 on Topmate | 📞 8981838547