Python Basics I
Python Basics II
Introduction to NumPy & Pandas
Data Preprocessing & Manipulation
Data Visualization
Doubt Clearing Session + End Course Test
Python for AI (Self-Paced)

Statistical Foundations
Probablity
Inferential Statistics
Regression
Doubt Clearing Session + End Course Test
Predictive Analytics (Self-Paced)

Mid Program Project-1

Introduction to Deep Learning
Getting started with Tensorflow 2.0 with Tensor Board
Image Classification using CNN
TensorFlow Hub for Object Detection using Faster RCNN
Tensorflow for Deployment
Doubt Clearing Session + End Course Test
Real-time object detection using YOLO v4 (Self-paced)
Image Segmentation using Facebook Detectron 2.0 (Self-paced)
Data Tagging(VOTT) for Computer Vision (Self-paced)

Introduction to NLP with Spacy
Analyzing and Seggregating the News Headlines
Building a Resume Classifier
Building a intent based RASA Chatbot
NLP in Production
Doubt Clearing Session + End Course Test

Mid-Program Project 2

Module 1: Introduction to Sequence Learning
Module 2: RNN vs LSTM with Google Stock Price
Module 3: Sentiment Analysis on Zomato Reviews using LSTM
Module 4: Introduction to Transformer model
Module 5: BERT and GPT2 using Transformer
Module 6:Machine Translation with MT5 (Self-paced)
Module 7: Building a Question Answer prediction model using BERT (Self-paced)
Module 8: Doubt Clearing Session + End Course Test

Industry Grade Project