LiveGenAIPythonDeep Learning
Machine Learning & Deep Learning
From a fast refresher to LLMs, fine-tuning, RAG & MLOps.
4.9(2.1K ratings)18.4K learnersAdvancedEnglishUpdated Jun 2026
Created by Dr. Aarav Mehta · AI Lead · ex-Google Brain
What you'll learn
Build and train deep neural networks from scratch
Implement CNNs, RNNs and Transformer architectures
Fine-tune LLMs and build production RAG pipelines
Ship models with a real MLOps workflow
Read and reproduce modern ML research papers
Deploy and monitor models at scale
Course content
3 sections · 13 lessons · 7h 8m
- The ML mental model & workflow22m
- The math you actually use26m
- Classic ML in practice24m
Requirements
- Comfortable with Python and basic programming
- High-school level math (we refresh the rest)
- A laptop with internet — no GPU required to start
Description
Go from solid fundamentals to research-grade, production-ready ML. A quick refresher on the math and sklearn, then deep into neural networks, CNNs, RNNs and Transformers — finishing at GOD tier with LLMs, fine-tuning, RAG pipelines, and MLOps. Built for people who already know the basics and want real mastery.
Your instructor
DA
Dr. Aarav Mehta
AI Lead · ex-Google Brain
Builds LLM systems at scale. Teaches ML the way it's actually used in production.