May 2026 Global Free AI Course Selection Guide Zero to Hero (No Coding Required)

1. AI for Everyone — Andrew Ng (DeepLearning.AI)

• Duration: 6–10 hours

• Core Content: AI fundamentals, machine learning workflows, ethics and bias, business applications

• Features: No coding required; explains the essence of AI in the most accessible language, suitable for all roles

• Platform: Coursera (Free audit available)

2. Google AI Essentials — Google

• Duration: Approximately 10 hours

• Core Content: Gemini applications in office scenarios, prompt basics, AI ethics

• Features: Designed specifically for office professionals; immediately applicable to Excel, PowerPoint, emails, and daily work

• Platform: Coursera

3. AI Fundamentals — IBM SkillsBuild

• Duration: Approximately 10 hours (6 courses)

• Core Content: AI basics, generative AI, IBM Watson applications

• Features: Earn an official IBM digital badge upon completion, which can be added directly to your LinkedIn profile

• Platform: IBM SkillsBuild

For Developers (Programming Experience Required)

4. CS50's Introduction to AI with Python — Harvard University

• Duration: 7 weeks (self-paced)

• Core Content: Search algorithms, knowledge representation, machine learning, neural networks, natural language processing

• Features: A classic Harvard course; implement AI algorithms in Python with exceptionally high-quality assignments

• Platform: edX (Free learning; paid certificate available)

5. Generative AI for Developers — Google & Kaggle

• Duration: 5-day intensive (next session starts June 15, 2026)

• Core Content: LLM principles, Vertex AI, agent development, "Vibe Coding" (natural language programming)

• Features: Developed by Google and Kaggle; has already attracted over 1.5 million learners

• Platform: Kaggle Competition Page

6. AI Agents for Beginners — Microsoft

• Duration: Approximately 8 hours

• Core Content: Building multi-agent systems with AutoGen and Semantic Kernel, GitHub Copilot Agent Mode

• Features: Official Microsoft offering; open-source course on GitHub with extensive hands-on code

• Platform: GitHub Repository

7. Generative AI and Agents in Action — NVIDIA DLI

• Duration: 8–16 hours per course

• Core Content: Generative AI, deep learning, accelerated computing, LLM fine-tuning

• Features: Provides cloud-based GPU lab environments; new users can claim free course credits

• Platform: NVIDIA Training

Prompt Engineering and AI Applications

8. Anthropic Academy — Official Claude Courses

• Duration: Ranges from 1 to 8 hours

• Core Content: Claude Code hands-on, MCP protocol, prompt engineering, AI safety

• Features: Widely regarded as the highest-quality free tutorial for LLM application deployment, suitable for product managers and developers

• Platform: Anthropic Skilljar

9. Prompt Engineering — OpenAI Academy

• Duration: On-demand

• Core Content: High-quality prompt writing, API application practices, AI literacy

• Features: Official OpenAI offering; covers everything from beginner to API development

• Platform: OpenAI Academy

High-Value Certification Programs

10. AWS AI & ML Scholars Program — Amazon

• Application Deadline: June 24, 2026

• Core Content: Generative AI fundamentals, AWS PartyRock, Amazon Bedrock

• Features: 100,000 global spots available; the top 4,500 performers receive a fully funded Udacity nanodegree (worth thousands of dollars). Applicants must be 18 or older; no AI experience required.

• Platform: AWS Skill Builder

Quick Selection Guide

Learning Tips: All courses listed come from top tech companies and universities, and remain continuously updated in 2026. We recommend starting with one introductory course, then diving deeper into specific areas based on your career direction. Most platforms may require VPN access; a few (such as IBM and Microsoft) are directly accessible in China.