Compare 2 courses
Rows marked are different. The best value in a row is ticked.
The short answer
- Strongest institutionAgentic AI
- CheapestAgentic AI
- QuickestGenerative AI Program
- Most popularGenerative AI Program
- Best overall (our score)Generative AI Program
| Learners or views | 687,438 | 3,181,431Best here |
|---|---|---|
| Time | 6 videos, 4 hours | 24 videos, 2 hoursBest here |
| Syllabus | 6 videos | 24 videosBest here |
| Subjects | Artificial Intelligence, Generative AI, AI Agents | Artificial Intelligence, Generative AI |
| Advantages |
|
|
| Technifyed score | 91/100 | 93/100Best here |
Syllabus side by side
Agentic AI
- Agentic AI vs LLMs: Why an Agent Doesn't Stop at the Answer
- Why AI Agents Matter Now with Stanford's Azalia Mirhoseini and Aakanksha Chowdhery
- Stanford CS224N: NLP w/ DL | Spring 2024 | Lecture 14 - Reasoning and Agents by Shikhar Murty
- Stanford Webinar - Agentic AI: A Progression of Language Model Usage
- Stanford CS25: V3 I Beyond LLMs: Agents, Emergent Abilities, Intermediate-Guided Reasoning, BabyLM
- Stanford CS25: V3 I Generalist Agents in Open-Ended Worlds
Generative AI Program
- Overview: Business Opportunities and Applications of Generative AI
- Course Overview - Business Opportunities and Applications of Generative AI
- These AI Skills Are the Most Valuable
- James Landay Explains Why AI Should Be Human-Centered
- Stanford Course - Technical Fundamentals of Generative AI
- Course Overview - Technical Fundamentals of Generative AI
- Stanford Webinar - Human-Centered AI: Designing Systems People Trust
- Top 5 Generative AI Trends: James Landay Reacts and Responds
- Generative AI: Looking Beyond the Hype with James Landay
- Generative AI at a Glance: An Overview from James Landay
- Move Forward Faster with Flexible Evals - Stanford Professor Chris Potts #generativeai #evals #ai
- Successful Startups Share This Trait - Michelle Pokrass, Post-Training Research Lead at OpenAI
- The Importance of Few-Shot Examples - Stanford Professor Chris Potts #generativeai #ai
- The Capabilities Overhang - Michelle Pokrass, Post-Training Research Lead at OpenAI #generativeai
- Where Might AI Be Underused? - Stanford Professor Chris Potts #generativeai #ai
- The State of AI and Trust Among Business Leaders - Aditya Challapally, ML Engineer at Microsoft #ai
- Who Decides How Models Behave? - Aditya Challapally, ML Engineer at Microsoft #generativeai
- Stanford Webinar - Making GenAI Useful: Lessons from Research and Deployment
- Generative AI Program: Technology, Business & Society
- Course Overview - Business Opportunities and Applications of Generative AI
- Course Overview - Human-Centered Generative AI
- Course Overview - Technical Fundamentals of Generative AI
- Business Opportunities and Applications of Generative AI
- Course Overview - Human-Centered Generative AI

