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dasari4kntr

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dasari4kntr
dasari4kntr

just sharing some tech learning road maps here…it could help for technology learners… you can update here if you come across any good cheat sheets or any tech roadmaps…    GOOGLE DRIVE

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dasari4kntr LEGEND

dasari4kntr

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14 minutes ago, PizzaReddy said:

taatha web socket vs http/rest

plese explain 

websocket are used for streams of information...mostly used for live info...for example...if you are implmenting a stock market dashboard...you will get streams of ticker information...so to show the live dashboard...rest http is not optimal...so people use webscokets...

sample implmentation... (with the help of chatGPT).... 

// server side

const WebSocket = require('ws');

const wss = new WebSocket.Server({ port: 8080 });

wss.on('connection', function connection(ws) {
  console.log('A new client connected!');

  ws.on('message', function incoming(message) {
    console.log('received: %s', message);

    // Echo the received message back to the client
    ws.send(`Echo: ${message}`);
  });

  ws.on('close', () => console.log('Client disconnected'));
});

console.log('WebSocket server started on ws://localhost:8080');

 

  

//client side

<!DOCTYPE html>
<html>
<body>
  <script>
    var ws = new WebSocket('ws://localhost:8080');

    ws.onopen = function() {
      console.log('Connected to the server');
      ws.send('Hello Server!');
    };

    ws.onmessage = function(evt) {
      console.log('Message from server:', evt.data);
    };

    ws.onclose = function() {
      console.log('Disconnected from the server');
    };
  </script>
</body>
</html>

 

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https://microsoft.github.io/AI-For-Beginners/?id=getting-started

 

Artificial Intelligence for Beginners - A Curriculum

Sketchnote by [(@girlie_mac)](https://twitter.com/girlie_mac)

 

 

Content

No Lesson Intro PyTorch Keras/TensorFlow Lab
I Introduction to AI  
1 Introduction and History of AI Text      
II Symbolic AI  
2 Knowledge Representation and Expert Systems Text Expert System, Ontology, Concept Graph  
III Introduction to Neural Networks  
3 Perceptron Text Notebook Lab
4 Multi-Layered Perceptron and Creating our own Framework Text Notebook Lab
5 Intro to Frameworks (PyTorch/TensorFlow) and Overfitting Text PyTorch Keras/TensorFlow Lab
IV Computer Vision Microsoft Azure AI Fundamentals: Explore Computer Vision  
  Microsoft Learn Module on Computer Vision PyTorch TensorFlow  
6 Intro to Computer Vision. OpenCV Text Notebook Lab
7 Convolutional Neural Networks
CNN Architectures 		Text
Text 		PyTorch TensorFlow Lab
8 Pre-trained Networks and Transfer Learning
Training Tricks 		Text
Text 		PyTorch TensorFlow
Dropout sample
Adversarial Cat 		Lab
9 Autoencoders and VAEs Text PyTorch TensorFlow  
10 Generative Adversarial Networks
Artistic Style Transfer 		Text PyTorch TensorFlow GAN
Style Transfer 		 
11 Object Detection Text PyTorch TensorFlow Lab
12 Semantic Segmentation. U-Net Text PyTorch TensorFlow  
V Natural Language Processing Microsoft Azure AI Fundamentals: Explore Natural Language Processing  
  Microsoft Learn Module on Natural language processing PyTorch TensorFlow  
13 Text Representation. Bow/TF-IDF Text PyTorch TensorFlow  
14 Semantic word embeddings. Word2Vec and GloVe Text PyTorch TensorFlow  
15 Language Modeling. Training your own embeddings Text PyTorch TensorFlow Lab
16 Recurrent Neural Networks Text PyTorch TensorFlow  
17 Generative Recurrent Networks Text PyTorch TensorFlow Lab
18 Transformers. BERT. Text PyTorch TensorFlow  
19 Named Entity Recognition Text   TensorFlow Lab
20 Large Language Models, Prompt Programming and Few-Shot Tasks Text PyTorch    
VI Other AI Techniques  
21 Genetic Algorithms Text Notebook  
22 Deep Reinforcement Learning Text PyTorch TensorFlow Lab
23 Multi-Agent Systems Text      
VII AI Ethics  
24 AI Ethics and Responsible AI Text MS Learn: Responsible AI Principles  
  Extras  
X1 Multi-Modal Networks, CLIP and VQGAN Text Notebook  







Mindmap of the Course

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@dasari4kntr bro- I have ~ 10 years of IT experience. Out of 10 , I have 8 years on storage, VMware and other sysops related activities. And the remaining 1 year 9 months I have experience in Cloud and Devops(AWS services, Github and Terraform). What do you recommend the learning path for Generative AI to be competitive in this environment?

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1 minute ago, pinnigaaru said:

@dasari4kntr bro- I have ~ 10 years of experience. Out of 10 , I have 8 years on storage, VMware and other sysops related activities. And the remaining 1 year 9 months I have experience in Cloud and Devops(AWS services, Github and Terraform). What do you recommend the learning path for Generative AI to be competitive in this environment?

currently deni meeda working bro..?

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