Here's a list of 14 top resources to get up to speed (for free):
THE BASICS:
1. Elements of AI
An introduction to artificial intelligence for non-experts.
If you want a beginner's guide to understanding AI and how to use it
2. AI For Everyone | Coursera
A comprehensive overview of AI and the key concepts shaping its impact.
If you want to be equipped with a broad overview and get a solid start in this field
3. Learn AI & machine learning - with Google
Free courses & low-cost certifications for AI, Machine Learning, and Neural Networks.
If you want to jumpstart a career in AI
. What's the difference?
- AI
- Machine Learning
- Deep Learning
- Neural Networks
If you want clarity on the core concepts
THE TERMINOLOGY:
5. 28 AI Terms You Need to Know
A list of basic terms everyone should know.
If you want to feel comfortable on AI Twitter
6. Machine Learning Glossary | Google Developers
A comprehensive list of machine learning terms.
If you want to speak the language of AI
8. What Is ChatGPT Doing … and Why Does It Work?
An in-depth article on the inner workings of ChatGPT.
If you want to be a master, not just a user of AI
9. AUTO-GPT: Autonomous GPT-4
A short video overview of Auto-GPT and how it works.
If you want to keep up with the latest mind-blowing version of GPT-4
10. AUTO-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
If you want to push the boundaries of what is possible with AI
https://t.co/BuRxEnzOLn
HOW TO PROMPT:
11. Learn Prompting
A comprehensive resource on prompting, from beginners to advanced.
If you want to communicate effectively with AI
https://t.co/ETQbevOYwu
PROGRAMMING FOR AI:
12. Python Full Course for Beginners by Moshfegh Hamedan.
6 hours with everything you need to go from newbie to Python proficient.
If you want to master the most popular language for AI & ML
https://lnkd.in/dMwbKpua
13. CS50 Introduction to Artificial Intelligence with Python | Harvard
A 7-week self-paced course covering the concepts and algorithms of artificial intelligence.
If you want to know how to apply AI techniques to your work
https://lnkd.in/dJ_DmuSj
MACHINE LEARNING:
14. Stanford CS229 - Machine Learning
20 lectures on supervised, unsupervised & reinforcement learning, learning theory, and adaptive control.
If you want to be hirable in multiple industries
https://lnkd.in/djaXtCAQ
#python #machinelearning #ml #ai #google
Useful link:
https://www.linkedin.com/pulse/roadmap-becoming-data-analyst-2023-arif-alam-/