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Python
Python Basic
Variables, Data types and basic Operators
Python Data Structures
Control Flow and Loops
Function
File handling and loops
Iterator and Generator
Object Oriented Programming
Exception handling and Debugging
Regular Expression
Modules and Packages
Decorators, Concurrency & Parallelism
Linux
1. Introduction to Linux
Linux Basics
Hands-on Sessions
SQL
SQL Basic
SQL Advance
Data Analysis, Manipulation and EDA
Numpy
Pandas
Matplotlib/Seaborn
Exploratory Data Analysis
Mathematics For Machine Learning
Linear Algebra
Calculas
Proabability
Statistics
Machine Learning
Supervised Machine Learning
unsupervised Machine Learning
Feature Engineering
Ensemble Machine Learning
Time Series
End to End Machine Learning Project
Deep Learning
Deep Learning Introduction
Perceptron
Activation Function
Forward Propagation and Backward Propagation Algorithm
Implementation - Tensorflow for Deep Learning
Gradient Descent and optimization algorithms
Regularization techniques (Dropout, L1 and L2)
Weight Initialization
Batch Normalization
Transfer Learning and pre-trained models
Convolutional Neural Network
CNN Foundation
Convolution layer, Filters, Pooling layers, Down sampling
Different types of CNN architecture
Computer vision - Object detection and localization
Computer vision - Image segmentation and instance segmentation
Computer vision - Image style transfer and generative models
Computer vision - Deep learning for video analysis and understanding
Recurrent Neural Networks (RNNs) for sequence data
RNN Foundation
LSTM and GRU
Sequence generation and language modeling
Deep Learning in NLP
Generative Models
Large Language Model
Big Data & Data Engineering
Introduction to Big Data And Spark
Pyspark for Data Engineering
Advanced Concepts & Spark-Hive
MLOPS and Model Deployment
Introduction to MLOPS
Deploy Machine Learning Model