TechnicalHybrid

Artificial Intelligence & Machine Learning

6 - 10 WeeksBeginner to AdvancedMon/Wed/Fri, 7–9 PM IST

This comprehensive 12-week programme takes you from AI fundamentals to building production-ready machine learning models. You will learn supervised and unsupervised learning, deep neural networks, natural language processing, computer vision, and generative AI. Each week includes live sessions, recorded lectures, and hands-on assignments using real datasets. By the end, you will have built a portfolio of 5+ ML projects ready to showcase to employers.

Curriculum

1Module 1: Python for Data Science

Build a strong foundation in Python, NumPy, Pandas, and data manipulation.

Python basics & data types
NumPy arrays & operations
Pandas DataFrames
Data cleaning & preprocessing
Matplotlib & Seaborn visualisation

2Module 2: Machine Learning Fundamentals

Understand core ML concepts and implement classical algorithms.

Supervised vs Unsupervised Learning
Linear & Logistic Regression
Decision Trees & Random Forests
K-Means Clustering
Model Evaluation Metrics

3Module 3: Deep Learning & Neural Networks

Dive into deep learning with TensorFlow and PyTorch.

Neural Network Architecture
Backpropagation & Optimisers
CNNs for Computer Vision
RNNs & LSTMs for Sequential Data
Transfer Learning

4Module 4: NLP & Generative AI

Explore natural language processing and generative models.

Text Preprocessing & Tokenisation
Word Embeddings (Word2Vec, GloVe)
Transformers & Attention Mechanism
GPT & Large Language Models
Building a Chatbot Project

5Module 5: MLOps & Deployment

Learn to deploy and monitor ML models in production.

Model Serialisation & APIs
Docker for ML
CI/CD for ML Pipelines
Model Monitoring & Drift Detection
AWS SageMaker Basics

What You'll Learn

Build and train neural networks using TensorFlow and PyTorch

Implement NLP pipelines for text analysis and generation

Deploy ML models to production with Docker and APIs

Evaluate and optimise model performance using industry metrics

Build a portfolio of 5+ real-world ML projects

Prerequisites

Basic programming knowledge (any language)
High school mathematics (algebra, statistics basics)
A laptop with 8GB+ RAM

Who This Course Is For

Computer science students looking to specialise in AI
Software developers transitioning to ML engineering
Data analysts wanting to build predictive models
Anyone curious about artificial intelligence

Internship Opportunity

Complete this course and get an internship at MSET

AI & Machine Learning Intern — Gurgaon, Bangalore India

View Internship Details

₹30,000

₹50,00040% off

6 - 10 Weeks

Beginner to Advanced

Hybrid

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