Data Science & AI Bootcamp: ML, Deep Learning, LLMs & RAG

About this course

This course contains the use of artificial intelligence.

This course was created with the support of AI tools for scripting, narration, and visuals, under the direction and editorial review of the instructor.

Data Science, Machine Learning & AI — from absolute zero to research level.

This complete bootcamp takes you from your first line of Python to training, fine-tuning and deploying modern AI systems. Every topic is taught twice: a concepts & intuition lesson, then a hands-on lesson with real data — so you never just watch, you actually build.

What makes this course different:18 structured modules: Python, math & statistics, NumPy, Pandas & SQL, machine learning, deep learning with PyTorch, computer vision, NLP & Transformers from scratch, LLM engineering, RAG, LoRA/QLoRA fine-tuning, reinforcement learning & AI agents, generative AI, and MLOps.23 complete portfolio projects with full runnable code: fraud detection, demand forecasting, student success analytics, chat-with-documents RAG, image classifier, LoRA lab, model deployment and more.

Runs on YOUR laptop: every GPU lesson ships with an RTX 3050 (4GB VRAM) path AND a free Google Colab path.

Real datasets only: penguins, movies, sales, network logs — the same files used in every lesson, so you can follow along line by line.

Practical tactics that actually matter: 4GB VRAM workarounds, quantization, mixed precision, gradient accumulation and batch size tuning.

You will learn the fundamentals the right way: data cleaning, feature engineering, model evaluation, cross-validation, explainability, time series, causal inference, unsupervised learning, recommenders, and experiment design. Then you go modern: scaled dot-product attention, multi-head attention, encoder-decoder architectures, GPT from scratch, embeddings, vector databases, RAG pipelines, DPO alignment, dif

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