Best first move
Pick one educator from the table, watch one matched video, then open one hands-on resource. The aim is to leave with a working habit, project, or mental model tied to product.
AI learning guide
Learn AI product judgment, UX patterns, evaluation, and team adoption.
Pick one educator from the table, watch one matched video, then open one hands-on resource. The aim is to leave with a working habit, project, or mental model tied to product.
Compare audience, level, format, and starting point. Favor a source that matches your current role and gives you exercises, examples, docs, or code you can use immediately.
Avoid collecting dozens of generic AI tips. Use this guide to choose a narrow learning loop: one topic, one educator, one video, one resource, one application in your own work.
Chip Huyen
Full Stack Deep Learning
Peter Yang
Lenny Rachitsky
MLOps Community
| Educator / source | Best for | Skills | Start with |
|---|---|---|---|
| Indie founders, product builders | Founder workflows, Product ops, Automation | Read the public notes and examples before deciding whether the paid material matches your business. | |
| Product managers, founders | Product strategy, Writing, AI adoption | Review the Maven syllabus and compare it to your current product workflow. | |
| Product teams, founders | Product, Growth, Team adoption | Browse the How I AI interviews and copy the workflows that match your role. | |
| Developers, AI engineers | AI engineering, Agents, Developer tools | Watch AI Engineer talks for production patterns and tool choices. | |
| Builders shipping LLM systems | Evals, RAG, LLM product quality | Read the evals guide and build a small test set for your own app. | |
| Engineers, PMs, AI product teams | Evals, LLM reliability, Product quality | Review the course outcomes and pair it with a real feature you can evaluate. | |
| Engineers, ML practitioners | AI engineering, Systems, Production ML | Use the book page and related essays as a production engineering path. | |
| Engineers shipping ML products | MLOps, Deployment, Product ML | Use the course modules that match your current project stage. | |
| Teams shipping LLM applications | Observability, Prompt management, Evals, Tracing | Instrument a toy app with traces, then add scores and eval datasets. | |
| Product teams building with LLMs | Prompt management, Evals, Workflow design | Read guides on parameters, prompt management, and eval workflows. | |
| Teams iterating on prompts and LLM products | Prompt management, Evals, LLM workflows | Read their evals and prompt-management writing. | |
| Engineers learning production ML | MLOps, Testing, Deployment, ML systems | Work through testing, monitoring, and deployment lessons. | |
| ML and AI engineers | MLOps, Production ML, AI systems, Community learning | Search talks for the system problem you are facing. | |
| Professionals looking for cohort-based AI courses | AI product, AI leadership, AI workflows, Evals | Filter by role and check instructor outcomes before buying a course. | |
| Developers learning data and ML engineering | ML engineering, MLOps, Data engineering | Use ML Zoomcamp or MLOps Zoomcamp based on your gap. | |
| Career-focused learners | Machine learning, Deep learning, AI product, Computer vision | Choose a nanodegree by career outcome. | |
| Educators and students | AI literacy, Education, Tutoring workflows | Review Khanmigo examples and educator guidance. | |
| Developers deploying AI workloads | Deployment, GPU workloads, AI engineering, Batch jobs | Deploy a small inference example before moving a real workload. |
Book · Chip Huyen · Intermediate to advanced
You are moving from demos to production systems.
Docs and cookbooks · Langfuse · Intermediate
You need production LLM tracing, scoring, and prompt operations.
Free course · Made With ML · Intermediate
You need production ML habits that transfer to AI systems.
Cohort course · Hamel Husain and Shreya Shankar · Intermediate
You are shipping AI features and need a serious evaluation workflow.
Podcast videos · Lenny Rachitsky · Beginner to advanced
You want AI product examples from PMs and founders.
Course videos · Full Stack Deep Learning · Intermediate to advanced
You want the whole lifecycle of ML and AI product development.
Newsletter · Josh Pigford · Beginner to intermediate
Use this when you want Josh Pigford's material for founder workflows and related AI skills.
Course · Peter Yang · Intermediate
Use this when you want Peter Yang's material for product strategy and related AI skills.
Newsletter series · Lenny Rachitsky · Beginner to intermediate
Use this when you want Lenny Rachitsky's material for product and related AI skills.
Guides · Hamel Husain · Intermediate to advanced
Use this when you want Hamel Husain's material for evals and related AI skills.
Course · Shreya Shankar · Intermediate
Use this when you want Shreya Shankar's material for evals and related AI skills.
Book · Chip Huyen · Intermediate to advanced
Use this when you want Chip Huyen's material for ai engineering and related AI skills.
Course · Full Stack Deep Learning · Intermediate to advanced
Use this when you want Full Stack Deep Learning's material for mlops and related AI skills.
Talks · MLOps Community · Intermediate to advanced
Use this when you want MLOps Community's material for mlops and related AI skills.
Cohort courses · Maven AI courses · Beginner to advanced
Use this when you want Maven AI courses's material for ai product and related AI skills.
Nanodegrees · Udacity · Beginner to advanced
Use this when you want Udacity's material for machine learning and related AI skills.
Use the educator table, videos, and resources above to compare options by topic fit, depth, and format. A good choice gives you a concrete next step: a course module, code example, video walkthrough, project, or workflow you can try today.
Use the educator table, videos, and resources above to compare options by topic fit, depth, and format. A good choice gives you a concrete next step: a course module, code example, video walkthrough, project, or workflow you can try today.
Use the educator table, videos, and resources above to compare options by topic fit, depth, and format. A good choice gives you a concrete next step: a course module, code example, video walkthrough, project, or workflow you can try today.