Browse 350+ structured AI learning paths — curated, step-by-step course sequences that take you from beginner to advanced. Each artificial intelligence learning path focuses on one track: machine learning, deep learning, NLP, generative AI, computer vision, or data science. Filter by difficulty, category, or cost to find the path that fits your goals.
Showing 1-24 of 349 learning paths
Build on your existing knowledge with intermediate gpt techniques and real-world applications.
Build on your existing knowledge with intermediate cloud ai services techniques and real-world applications.
Learn to deploy and scale AI solutions on cloud platforms with hands-on cloud ML services.
Curated learning path for AI Project Management. Build practical skills through expert-selected courses.
Curated learning path for AI Metering & Usage Analytics. Build practical skills through expert-selected courses.
Curated learning path for AI Privacy & Anonymization. Build practical skills through expert-selected courses.
Curated learning path for Question Answering & QA Systems. Build practical skills through expert-selected courses.
Deploy AI at scale on AWS: SageMaker, Bedrock, and cloud ML services.
Curated learning path for AI for Agriculture. Build practical skills through expert-selected courses.
Dive into deep learning architectures, neural networks, and advanced AI model development.
Curated learning path for AI for Insurance. Build practical skills through expert-selected courses.
Learn by building. Apply ML to real datasets through guided projects covering end-to-end pipelines from data cleaning to deployment.
Apply AI and machine learning to healthcare challenges including diagnostics, imaging, and patient care optimization.
Curated learning path for AI in Research & Academia. Build practical skills through expert-selected courses.
Master the skills employers are hiring for in 2026: Agentic AI, critical thinking, and AI governance
Curated learning path for AI for Accessibility. Build practical skills through expert-selected courses.
Navigate AI governance frameworks, compliance requirements, and regulatory considerations for AI systems.
Start your journey into gpt prompting with foundational concepts and hands-on exercises designed for newcomers.
Curated learning path for OpenAI API & Integration. Build practical skills through expert-selected courses.
Learn computer vision techniques for image processing, object detection, and visual AI applications.
Curated learning path for Text Classification & Sentiment. Build practical skills through expert-selected courses.
Curated learning path for Machine Translation. Build practical skills through expert-selected courses.
Start your journey into generative 3d models with foundational concepts and hands-on exercises designed for newcomers.
The art of getting AI to do what you want: systematic prompting techniques.
Take our quiz to get personalized path recommendations based on your background and goals.
Take the QuizEvery AI learning path on this page is a curated, step-by-step sequence of courses — so you can go from beginner to job-ready in artificial intelligence without piecing together a curriculum yourself. Here is how to pick the right one.
Start with your goal. If you want to become a machine learning engineer, follow a path heavy on Python, scikit-learn, and deep learning. Aiming for data science? Prioritize statistics, data wrangling, and visualization. Drawn to generative AI and large language models? Look for a path covering transformers, prompt engineering, and retrieval-augmented generation. There are also focused tracks for natural language processing (NLP) and computer vision.
Match the path to your level. Beginner AI learning paths assume no prior experience and start with the fundamentals; intermediate paths expect some Python and math; advanced paths dive into research-grade topics like fine-tuning and MLOps. Use the difficulty filter above to narrow the list, or browse individual courses if you want to build your own track.
Weigh time and budget. Each artificial intelligence learning path shows its estimated hours and total cost, and many courses include free audit options. Not sure where to start? Take the 2-minute quiz for a personalized AI learning path recommendation based on your background and goals.
An AI learning path is a curated, ordered sequence of courses that takes you from beginner to advanced in a focused area of artificial intelligence — like machine learning, deep learning, NLP, generative AI, computer vision, or data science. Instead of guessing what to study next, you follow a vetted progression.
Pick by your goal and starting level. Filter the paths above by difficulty, category, or cost, or take the quiz to get a personalized recommendation based on your background and what you want to build.
The catalog spans machine learning, deep learning, neural networks, natural language processing, large language models, generative AI, computer vision, MLOps, and data science — from foundational theory to hands-on, job-focused tracks.
Many of the courses include free audit options, and each path shows its total cost up front so you can choose free, paid, or subscription-based tracks.
It varies by path and your pace — each path lists an estimated time commitment and total study hours, from short focused tracks to comprehensive beginner-to-advanced journeys.