Origins AI

Apoorva Kumar

Apoorva Kumar

Director of Engg. @ YM

Systems @ PlayStation

IITKGP CSE

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Gaurav Jha

Gaurav Jha

AI Engineer @ Raga AI

SDE @ Amazon

IITKGP CSE

Track 1	Track 2	Track 3	Track 4	Track 5	Track 6	Track 7	Track 8
Basics of Python Programming	Overview of web servers and api	Introduction to Numpy	Introduction to Neural Networks	Introduction to Transformers	Fundamentals of Text Classification	Foundational Concepts of RAG	Building a Winning CV
Conditional Statements and Loops	Introduction to Flask and Setup	Getting Started with TensorFlow and Keras	Building Neural Networks with PyTorch	Unveiling Transformer Internals	Building a Text Classification Dataset	Deep Dive into RAG Architecture	Revamping Your LinkedIn Profile
Lists, Tuples, Dictionary and Sets	Routing and Views	Exploring PyTorch, basics, Autograd and working with data	Why Backpropagation	Text Generation with Transformers	Tokenization with Hugging Face Tokenizers	Implementing RAG with Popular Frameworks	Mastering the Application Process
Defining and Calling Functions, Modules and Packages	Working with Databases	Deep Learning with Hugging Face	Backpropagation with PyTorch	Optimization for Transformers with Hugging Face	Model Building and Training	RAG Evaluation and Applications	Common Job Search Mistakes
Object oriented python programming	Using Flask-SQLAlchemy for ORM	Pre-trained Models and Transfer Learning	Training Neural Networks with PyTorch	Diving Deep into optimization of Transofrmers (PEFT)	Evaluation and Deployment	Advanced RAG Techniques	Common Job Search Mistakes
Deep dive into code of nanograd	RESTful APIs with Flask	Exploring Jupyter Notebook	Introduction to Convolutional Neural Networks	Different Prompt Engineering Technique	Saving and Loading Models	Advanced RAG Agent Development	How to get high paying remote jobs

Curriculum

Basics of Python Programming
Conditional Statements and Loops
Lists, Tuples, Dictionary and Sets
Defining and Calling Functions, Modules and Packages
Object oriented python programming
Deep dive into code of nanograd

Overview of web servers and api
Introduction to Flask and Setup
Routing and Views
Working with Databases
Using Flask-SQLAlchemy for ORM
RESTful APIs with Flask

Introduction to Numpy
Getting Started with TensorFlow and Keras
Exploring PyTorch, basics, Autograd and working with data
Deep Learning with Hugging Face
Pre-trained Models and Transfer Learning
Exploring Jupyter Notebook

Introduction to Neural Networks
Building Neural Networks with PyTorch
Why Backpropagation
Backpropagation with PyTorch
Training Neural Networks with PyTorch
Introduction to Convolutional Neural Networks

Introduction to Transformers
Unveiling Transformer Internals
Text Generation with Transformers
Optimization for Transformers with Hugging Face
Diving Deep into optimization of Transofrmers (PEFT)
Different Prompt Engineering Technique

Fundamentals of Text Classification
Building a Text Classification Dataset
Tokenization with Hugging Face Tokenizers
Model Building and Training
Evaluation and Deployment
Saving and Loading Models

Foundational Concepts of RAG
Deep Dive into RAG Architecture
Implementing RAG with Popular Frameworks
RAG Evaluation and Applications
Advanced RAG Techniques
Advanced RAG Agent Development

Building a Winning CV
Revamping Your LinkedIn Profile
Mastering the Application Process
Common Job Search Mistakes
Common Job Search Mistakes
How to get high paying remote jobs

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