Curated AI Courses

Five-course series on neural networks, CNNs, sequence models, and transformers from DeepLearning.AI.

Andrew Ng's flagship program covering supervised and unsupervised learning, neural networks, and best practices for real-world ML.

Harvard's deep dive into the algorithms behind modern AI — search, knowledge, optimization, and machine learning.

Andrew Ng explains how generative AI works and how to apply it in your work and life — no coding required.

AWS + DeepLearning.AI course on how LLMs work and how to build and deploy generative AI applications.

Hands-on certificate covering Python, SQL, data analysis, and ML to launch a data science career.

DeepLearning.AI series on NLP — sentiment analysis, word embeddings, attention models, and transformers.

Vanderbilt University hands-on course on writing effective prompts for ChatGPT and other LLMs.

Duke University specialization on managing the design and development of machine learning products.

Build the linear algebra, calculus, and probability foundations that underpin modern machine learning.

DeepLearning.AI course on deploying, monitoring, and maintaining ML systems in production.

DeepLearning.AI certificate: build and train neural networks with TensorFlow for vision, NLP, and sequences.

A practical tour of ChatGPT, prompt engineering, image generation, and building with generative AI tools.

Stanford's program on applying AI to clinical data, diagnostics, and patient care responsibly.

Hands-on certificate building ML and deep learning models with Python, Keras, PyTorch, and TensorFlow.

A no-code introduction to AI concepts — machine learning, deep learning, NLP, and responsible AI.

A non-technical guide to AI strategy, workflows, and organizational adoption for business leaders.

Foundational Python, NumPy, pandas, and neural networks to prepare for a career in AI and machine learning.

One of Udemy's most popular ML bootcamps, covering regression, classification, clustering, NLP, and deep learning.

Google Cloud and NYU specialization applying ML and reinforcement learning to quantitative trading strategies.