Machine Learning & AI1:1 Live Mentorship Program
A rigorous 16-week program built for people who want to go from zero to production ML engineer. Two live sessions per week with a mentor who has built ML systems at scale.
Built for People Who Want Outcomes, Not Certificates
Software Engineers
Developers who want to pivot into AI/ML roles at top tech companies.
Data Analysts
Analysts who want to move from dashboards to predictive models and ML systems.
CS Graduates
Fresh graduates who want practical skills that college never taught.
Researchers
Academics who want to transition from research to industry ML engineering.
Career Switchers
Professionals from any background making a calculated move into AI.
Entrepreneurs
Founders who want to build AI-powered products and understand what's technically possible.
16 Weeks. 6 Modules. 4 Live Projects.
Python for Data Science & ML
- →NumPy, Pandas, Matplotlib
- →Data cleaning & EDA
- →Statistical foundations
- →Jupyter, Colab & VS Code setup
Supervised & Unsupervised Learning
- →Linear & logistic regression
- →Decision trees & random forests
- →SVMs, k-NN, k-Means
- →Model evaluation & cross-validation
Deep Learning Fundamentals
- →Neural networks from scratch
- →PyTorch & TensorFlow hands-on
- →CNNs for computer vision
- →Training strategies & regularization
Natural Language Processing
- →Transformers & BERT architecture
- →HuggingFace ecosystem
- →Text classification & NER
- →Fine-tuning LLMs for custom tasks
MLOps & Production Deployment
- →Docker & containerization
- →AWS SageMaker & Lambda
- →CI/CD pipelines for ML
- →Model monitoring & drift detection
Capstone Projects & Interview Prep
- →End-to-end project deployment
- →GitHub portfolio building
- →System design for ML
- →5 mock technical interviews
Engineers Who Built Real AI Systems
Arjun Kapoor
Former Senior ML Engineer, Amazon
9 Years Experience
Built ML systems serving 100M+ users at Amazon. Specializes in production deployment and scalable ML pipelines.
Shruti Patel
AI Research Lead, Meesho
7 Years Experience
Published 12 papers in top-tier AI venues. Leads AI research at Meesho. IIT Bombay alumna, ex-Google Brain.
Vikram Nair
Principal Data Scientist, Flipkart
11 Years Experience
Leads a 15-person data science team. Previously at PayPal and JP Morgan. IIM Calcutta MBA with IIT Delhi undergrad.
Placement Support Included
Every ML & AI student gets our full career placement package at no additional cost.
Common Questions
How long is the ML & AI program?
The program is 16 weeks (4 months) with 2× weekly 1:1 sessions. You can extend to 20 weeks if needed — at no extra cost.
Do I need prior coding experience?
Basic Python familiarity is helpful but not required. Your mentor will assess your level in the orientation call and adjust the starting point of your curriculum.
What is the time commitment per week?
Expect 10–15 hours/week: 2–3 hours of live sessions + 7–12 hours of self-paced practice, assignments, and project work.
What technologies will I learn?
Python, NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, HuggingFace, Docker, AWS (SageMaker, Lambda, S3), MLflow, FastAPI, and GitHub Actions.
Ready to Start Your ML Career?
Apply takes 5 minutes. Orientation call is free. Refund available in 7 days.
Apply for ML & AI ProgramCohort seats are limited to 8 per month.