Your next course

Software engineers, data engineers, and technical learners with basic programming

Technical pathway from mathematics for ML through classical algorithms, neural networks, PyTorch/TensorFlow, training and evaluation, transformers and LLM APIs, feature pipelines, computer vision and NLP code, deployment, responsible AI, and a production-style developer capstone.

What you'll cover

• Python, linear algebra, calculus, and probability for ML
• Classical ML, evaluation metrics, and deep learning fundamentals
• PyTorch, training loops, and transformer / LLM engineering
• Feature pipelines, CNN/NLP code, and model deployment
• Responsible AI, agents, and developer portfolio capstone