technifyed

Compare 2 courses

Rows marked are different. The best value in a row is ticked.

The short answer

Show only differences

Generative AI ProgramStanford University
Taught byTeluskoTier 3: good universities, respected companies, nonprofits and well-known teachersStanford UniversityTier 1: world-leading universities and India's top institutesBest here
Institution score72/10097/100Best here
UniversityNoYes
PlatformYouTubeYouTube
TypeFree videoVideo playlist
PriceFree videoFree video
CertificateNo certificateNo certificate
RatingNo ratingsNo ratings
Learners or views275,6553,181,431Best here
Time1.5 hoursBest here24 videos, 2 hours
PaceSelf-pacedSelf-paced
LevelNot statedNot stated
LanguageEnglishEnglish
SubtitlesNot statedNot stated
StartsAny timeAny time
TeachersNot statedNot stated
Syllabus8 parts24 videosBest here
Skills only this one coversNoneNone
SubjectsCloud Computing, Docker, Artificial Intelligence, Generative AI, AI AgentsArtificial Intelligence, Generative AI
Before you startNot statedNot stated
Advantages
  • Free, one long video that covers a topic end to end.
  • Use the chapters to jump to what you need.
  • Taught in Hindi (or Hinglish), which many students find easier to follow.
  • Made for Indian students, with placement and exam context.
  • 275,655 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (8 parts) you can see before you start.
  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • The actual Stanford lectures (CS229, CS224N, CS231N…): the deepest free material on AI anywhere.
  • Taught by Stanford University, one of the strongest names in its field.
  • 3,181,431 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (24 videos) you can see before you start.
Disadvantages
  • No exercises or certificate: code along to make it stick.
  • Less depth than a university course on some topics.
  • No certificate.
  • No graded assignments or feedback.
  • Recorded in 2020: tools may have changed since.
  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • Graduate level: needs linear algebra, probability and programming first.
  • No certificate.
  • No graded assignments or feedback.
Technifyed score81/10093/100Best here
Syllabus side by side
Docker tutorial for Beginners
  1. Intro
  2. What is Docker?
  3. Docker on Linux
  4. Docker on Windows
  5. Ubuntu on Docker
  6. Docker Architecture
  7. Creating App on Docker
  8. Dockerize App
Generative AI Program
  1. Overview: Business Opportunities and Applications of Generative AI
  2. Course Overview - Business Opportunities and Applications of Generative AI
  3. These AI Skills Are the Most Valuable
  4. James Landay Explains Why AI Should Be Human-Centered
  5. Stanford Course - Technical Fundamentals of Generative AI
  6. Course Overview - Technical Fundamentals of Generative AI
  7. Stanford Webinar - Human-Centered AI: Designing Systems People Trust
  8. Top 5 Generative AI Trends: James Landay Reacts and Responds
  9. Generative AI: Looking Beyond the Hype with James Landay
  10. Generative AI at a Glance: An Overview from James Landay
  11. Move Forward Faster with Flexible Evals - Stanford Professor Chris Potts #generativeai #evals #ai
  12. Successful Startups Share This Trait - Michelle Pokrass, Post-Training Research Lead at OpenAI
  13. The Importance of Few-Shot Examples - Stanford Professor Chris Potts #generativeai #ai
  14. The Capabilities Overhang - Michelle Pokrass, Post-Training Research Lead at OpenAI #generativeai
  15. Where Might AI Be Underused? - Stanford Professor Chris Potts #generativeai #ai
  16. The State of AI and Trust Among Business Leaders - Aditya Challapally, ML Engineer at Microsoft #ai
  17. Who Decides How Models Behave? - Aditya Challapally, ML Engineer at Microsoft #generativeai
  18. Stanford Webinar - Making GenAI Useful: Lessons from Research and Deployment
  19. Generative AI Program: Technology, Business & Society
  20. Course Overview - Business Opportunities and Applications of Generative AI
  21. Course Overview - Human-Centered Generative AI
  22. Course Overview - Technical Fundamentals of Generative AI
  23. Business Opportunities and Applications of Generative AI
  24. Course Overview - Human-Centered Generative AI

Add a course (1 more)

Enter your email and the official page opens. Phone is optional.