27d • General discussion
18 Free Courses from the Big 6 AI Companies
f you want to learn AI in 2026, start here.
I pulled the most useful free courses from Anthropic, OpenAI, Google, Microsoft, NVIDIA, and IBM, then organized them by what people actually want to do: prompting, productivity, building, credentialing, and agentic AI.
🟠 Anthropic
AI Fluency: Framework & Foundations — https://anthropic.skilljar.com/ai-fluency-framework-foundations
Claude 101 — https://anthropic.skilljar.com/claude-101
Claude Code in Action — https://anthropic.skilljar.com/claude-code-in-action
⚫ OpenAI
AI Fluency Track — https://academy.openai.com/public/courses/ai-foundations-juzjs
AI Productivity Track — https://academy.openai.com/public/courses/applied-ai-foundations-hgk7r
AI for Developers Track — https://academy.openai.com/public/courses/agents-and-workflows-bieml
🔴 Google
Google AI Essentials — https://grow.google/ai-essentials/
Intro to Generative AI — https://www.skills.google/course_templates/536
Generative AI Learning Path — https://www.skills.google/paths/118
🟢 Microsoft
AI Skills Navigator — https://aiskillsnavigator.microsoft.com/
Generative AI for Beginners — https://github.com/microsoft/generative-ai-for-beginners
Azure AI Fundamentals — https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/
🟩 NVIDIA
Generative AI Explained — https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-07+V1
Fundamentals of Deep Learning — https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-FX-01+V3
🔵 IBM
AI Foundations — https://www.ibm.com/training/badge/ai-foundations
Generative AI: Intro and Applications — https://www.coursera.org/learn/generative-ai-introduction-and-applications
AI Engineering Professional Certificate — https://www.coursera.org/professional-certificates/ibm-ai-engineering
The best part: all of these are free to start as of June 14, 2026.
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18 Free Courses from the Big 6 AI Companies
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