We'll Discuss on Following Topics

1. Data Science And Analytics : Python libraries like Pandas Numpy, Matplotlib etc.

2. AI Libraries : Tensorflow, Keras, Pytorch

3. Scientific Libraries : Scipy Sympy

Discussion on Current ML models and alorithms researchers and developers using to prototype and deploy.

Basic Overview of LLM models And Generative AI tools like Chat Gpt...

Basix over view of Deep Learning and Neural Networks....

NlP lib- raries like NLTK spaCy , Text Analysis Libraries

Ai Po we red Develop - ment Tools like Git hub Copilot which assist developers suggesting code snippets and com pleting co de

How to Contribute to open source to get ur visibility amongst recruiters.

We will discuss Is AI Ml for every one or there are some other good carrer options like blockchain and IOT

At The End if Interested Where to Start from in this big ocean Of AI and ML and how to reach people who is already doing good in this field.