Foundation -Your base

The secret to true knowledge lies in the foundations of the core subjects that power those technologies. Our foundation courses will make your concepts - super strong.

COURSE TYPE- OFFLINE (AT PUNE)
COURSE TIMINGS - 8 AM TO 7 PM
MONDAY TO SATURADAY
COURSE DURATION- 90 DAYS
COURSE FEE- INR 50000/- plus applicable taxes.

Introduction to Programming in Python

-Concepts of programming

- variable names and properties

- functions

- input and output

- control flow: conditional statements, loops

- collections: list, tuple, dictionary

Intermediate Python Programming

- Algorithms (sorting and searching)

- Functions

- Modules

- Python libraries: numpy, matplotlib

Advanced Python

- Algorithms (divide and conquer, greedy)

- Object Oriented Python

- Performance Analysis

- Write your own modules

Algorithms and Data Structures

- Timing analysis

- Divide and Conquer, Greedy and Dynamic Programming

- Graph algorithms

- Arrays and trees

- Network Flows

- NP-Completeness

Data Science and AI

- Pandas: basic and advanced operations

- Data cleaning and EDA

- Visualization: principles, libraries and applications

Classification: Algorithms and implementations

- KNN

- Decision Trees

- SVM

Implementation using SciKit Learn

Evaluation metrics

foundation AI ML Course
foundation AI ML Course

COURSES

Advanced AI Courses

Comprehensive and in depth course into the most advanced and cutting edge technologies will give you an edge over the competition.

COURSE TYPE- OFFLINE (AT PUNE)
COURSE DURATION- 90 DAYS
COURSE TIMING-8 AM - 8 PM
MONDAY TO SATURADAY
COURSE FEE: INR 70,000 plus applicable taxes

Deep Dive AI

-Understanding the algorithms (especially the math)

-Implement the agorithms

- KNN

- SVM, Kernel Methods

- Decision Trees, bagging and boosting

Introduction to Neural Networks

Overview

-Pytorch overview

-Implementation using libraries

-Loss Functions, optimization choices

-Applications to classification

Advanced Neural Networks

-The math of Neural Networks

-Optimization

-Implementation from scratch

-Visualization

Neural Networks Spectrum

-Autoencoders

-CNNs

-RNNs

-LSTMs

Pretrained networks

-Applications

ML Capstone

-Project based learning

GANs
LLMs
advanced AI ML Course
advanced AI ML Course