Deccan AI School — Elite Mentorship Program
Deccan AI School — Elite Mentorship Program
Deccan AI School — Elite Mentorship Program
Course Name: Deccan Elite 20
Batch Name: John Hopfield Squadron
About the Program
Deccan AI School is Not a typical coaching class—
It’s a handpicked, high-intensity mentorship designed for true career changers in AI/ML, run only once per year.
Key Features:
Limited Seats
20 students only per year (vs. 100+ elsewhere)
Personal Attention
Every student gets 1:1 feedback; no one left behind
Live Interactive Sessions
Camera must be on; 95% attendance required
Language
Teaching in Marathi/Hindi/English as per batch
Rigorous Discipline
Missed assignments/class? Expect a call from the mentor!
Comprehensive Syllabus
A rigorous 9-month program with weekly lectures, projects, and real-world assignments—covering MLOps, AI Engineering, Generative & Agentic AI. Includes mock interviews, hackathon challenges, and portfolio support to ensure you’re placement-ready
9 months, 4 weekly lectures + 1 project session
MLOps, AI Engineering, Generative AI, Agentic AI (beginner to advanced)
Real-life assignments, weekly leaderboard, and hackathon-style competitions
Biweekly mock interviews for placement readiness
Portfolio & career support—not just theory, but real transition
Placement Support
No fake guarantees—your consistency = your success
Strong portfolio building: GitHub, blogs, open source, patents, research
Resume/Naukri/LinkedIn optimization
Feature
Batch Size
Duration
Personalization
Language
Mentor Access
Syllabus
Discipline
Projects
Placement
Deccan AI School
20 (Elite, handpicked)
9 months (intensive)
Full customization; go at your pace
Multilingual
1:1, daily follow-ups
Full-stack, GenAI, MLOps, advanced agentic AI
Mandatory attendance, active participation
7+ production-grade
Real portfolio, mock interviews, no fake tie-ups
Others
100+ (mass batches)
6–8 months
Fixed, one-size-fits-all
Mostly English only
Limited, impersonal
Generic ML/DL/NLP
Flexible, passive
2–3 mini projects
Some “guarantees”, weak follow-up
| Feature | Deccan AI School | Others |
|---|---|---|
| Batch Size | 20 (Elite, handpicked) | 100+ (mass batches) |
| Duration | 9 months (intensive) | 6–8 months |
| Personalization | Full customization; go at your pace | Fixed, one-size-fits-all |
| Language | Multilingual | Mostly English only |
| Mentor Access | 1:1, daily follow-ups | Limited, impersonal |
| Syllabus | Full-stack, GenAI, MLOps, advanced agentic AI | Generic ML/DL/NLP |
| Discipline | Mandatory attendance, active participation | Flexible, passive |
| Projects | 7+ production-grade | 2–3 mini projects |
| Placement | Real portfolio, mock interviews, no fake tie-ups | Some “guarantees”, weak follow-up |
Who Should Apply?
Career Switchers (IT/Non-IT, with or without coding background)
Early/Mid-Career Professionals
Final-Year Students wanting to jump-start their AI career
Only those ready for real accountability and growth!
Note: Admission is not automatic. You’ll be assessed for fit before joining. We care about your success more than your enrollment.
Success Stories
Batch History (Mentorship for small group of learners)
- 2021–22: 7 students
- 2022–23: 9 students
- 2023–24: 10 students
Results
- 100% of consistent, engaged students landed jobs within 2–4 months
- Alumni at top companies—thanks to strong portfolios, not empty “placement guarantees”
Syllabus (High-Level)
Python for Data Science & AI
Statistics, Math for ML
Machine Learning (Classic & Advanced)
Deep Learning (ANN, DNN, CNN, RNN, Transformers)
NLP, Computer Vision
Generative AI (LLMs, Image/Video Gen, Prompting)
MLOps (CI/CD, GCP Vertex AI, AWS SageMaker, Docker, K8s)
Agentic AI & AI Productization
Portfolio Building, Open Source, Blogs, Research Paper Writing
Mock Interviews & Career Preparation
Weekly Structure
4 Live Lectures
1 Hands-On Project Session
Biweekly Mock Interviews
Continuous Leaderboard & Assignments