Master AI & ML

Master Artificial Intelligence and Machine Learning in 12 months. From Python fundamentals to deploying production-ready models on cloud platforms. Build a high-impact career in the world's most transformative technology.

12

Months Program

6+

Certifications

15L

Average Salary

Essential Skills for AI & ML

Our comprehensive curriculum covers all the skills needed to excel in modern AI & ML

Core Technical Skills

Soft Skills

12-Month AI & ML Career Roadmap

From beginner to job-ready professional in one structured year.

Foundation

Phase 1: Months 1 – 4

Learn Basics

Python for ML
Math for ML (Linear Algebra, Probability)
Intro to ML algorithms

Certifications

Google AI Fundamentals
IBM Machine Learning Professional Certificate

Projects

Build a simple regression model
Create a classification model using Scikit-learn

Job Potential

ML Intern
Data Analyst

💰 Salary Potential : ₹4 – 6 LPA

Intermediate

Phase 2: Months 5 – 8

Learn Advanced ML

Feature engineering, hyperparameter tuning
Deep Learning basics (TensorFlow/PyTorch)

Certifications

TensorFlow Developer Certificate
AWS Machine Learning Specialty

Projects

Image classification using CNN
Sentiment analysis using NLP

Job Potential

ML Engineer
AI Developer

💰 Salary Potential : ₹6 – 12 LPA

Advanced

Phase 3: Months 9 – 12

Learn Specialized Areas

NLP, Computer Vision, Reinforcement Learning
MLOps & model deployment on cloud

Certifications

Google Professional ML Engineer
Microsoft Azure AI Engineer Associate

Projects

Deploy an ML model using Docker & Kubernetes
Build an end-to-end AI pipeline on AWS/GCP

Job Potential

AI Engineer
Data Scientist

💰 Salary Potential : ₹12 – 20 LPA

Structured Monthly Learning Plan

Hands-on projects, real datasets, and practical experience each month

 

Month 1: Python for AI/ML

Resource: Learn Python

Month 2: Math for ML (Linear Algebra & Probability)

Resource: Khan Academy Linear Algebra

Month 3: Statistics & Data Preprocessing

Resource: Statistics for Data Science

Month 4: Intro to Machine Learning Algorithms

Resource: Scikit-learn Tutorial

Month 5: Feature Engineering & Model Evaluation

Resource: Feature Engineering Guide

Month 6: Deep Learning Basics (Neural Networks)

Resource: TensorFlow Beginner Guide

Month 7: CNN for Image Classification

Resource: CNN Tutorial

Month 8: NLP Basics (Text Classification)

Resource: NLP with Python

Month 9: Advanced Deep Learning (RNN, LSTM)

Resource: Sequence Models

Month 10: Reinforcement Learning Basics

Resource: RL Introduction

Month 11: MLOps & Model Deployment

Resource: Deploy ML Models with FastAPI

Month 12: Capstone Project – End-to-End AI Pipeline

Resource: AWS SageMaker Guide

Earn Industry-Recognized Certifications

Prepare for the most valuable AI & ML certifications.

Shape the Future with AI

Join the next generation of AI engineers building transformative solutions,now is the time to future-proof your career with our comprehensive 12-month program.