From ML Basics to Production-Ready GenAI Applications
Optimized for intensive 2-month learning with your image classification background
7 days • 4-5 hours/day
Math refresher, Python essentials, and core ML concepts. We'll accelerate through the basics.
14 days • 5-6 hours/day
Classical ML algorithms, feature engineering, and model evaluation. Build 4 complete projects.
14 days • 6-7 hours/day
Neural networks, CNNs, RNNs, and Transformers. Leverage your image classification knowledge.
14 days • 7-8 hours/day
GANs, LLMs, Diffusion Models, and state-of-the-art GenAI applications.
7 days • 6-8 hours/day
MLOps, deployment, and building production-ready applications. Portfolio preparation.
Week 1 • 4-5 hours/day • Accelerated track for your background
Week 2-3 • 5-6 hours/day
Week 4-5 • 6-7 hours/day
Week 6-7 • 7-8 hours/day
Week 8 • 6-8 hours/day
An overview of your journey so far
Overall Completion
Projects Completed
Hours Logged