Loads of open- source tools and models are being created every single day. So today I'll be sharing with you a road map for you to :
- Learn the fundamentals of AI
- Expand your AI skill set
- Learn how to build with AI
Chapters :
0:00 Intro
0:39 Why should you learn AI?
1:21 Process to learn
2:27 Clarifications - LowCode & NoCode
3:48 Clarifications - AI vs GenAI
4:50 Level1 -Tools
5:15 Level2 - Languages
6:01 Level3 - Libraries&APIs
6:49 Level4 - Core concepts
7:18 Software Product Standards
8:26 Neural Networks
9:07 ML vs DL? Supervised vs Unsupervised?
10:09 Why focus on Deep Learning? Back vs Forward propagation?
11:02 Neural network architectures
11:35 Text Embeddings and Vectors
13:02 Real world projects
13:42 What next?
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