175 Best + Free Deep Learning Courses & Certificates [2026]

A 32-hour, theory-first path from probability and statistics through Python to regression, clustering and TensorFlow, aimed squarely at people starting from zero.

Best for: Beginners who want the math and statistics explained before touching a machine learning library.

Six-part tour of neural networks, CNNs, RNNs, self organizing maps, Boltzmann machines and autoencoders that leads with intuition and has drawn over 400,000 students.

Best for: Beginners who want to understand why each network works before writing code, across six different architectures.

A code-along tour of generative AI in PyTorch, from a face-making GAN to text to image generation, CLIP and QLoRA fine-tuning, refreshed in August 2026.

Best for: Python coders who want to build GANs and fine-tune an LLM line by line in Colab, with the theory explained before each project.

A short primer on Numpy, Pandas, Matplotlib and Scipy from Lazy Programmer, built as the on-ramp to his machine learning courses, with about 22,500 reviews behind it.

Best for: People who know Python and some linear algebra but freeze when asked to turn a formula into Numpy code.

A 26-hour, breadth-first tour of deep learning in TensorFlow 2, from feedforward nets to GANs and a reinforcement learning trading bot, refreshed in March 2026.

Best for: Python coders who want one map of the whole deep learning field in TensorFlow, with the math kept optional.

A theory-first walk through neural networks that derives backpropagation by hand, codes it in plain numpy, then repeats the job in TensorFlow.

Best for: People who want to derive and code backpropagation in numpy before touching a framework.

Frank Kane's 20-hour survey runs from a Python and stats refresher through classical ML to GPT, RAG and LLM agents, refreshed August 2026 and rated 4.6 by nearly 37,000 students.

Best for: Working programmers who want one broad, current tour of machine learning plus generative AI before picking a specialty.