Artificial Intelligence & Machine Learning

About the course

This course offers a deep dive into AI and ML, starting with Python programming, data preprocessing, and feature engineering. Learn fundamental machine learning techniques, including supervised and unsupervised learning, and explore deep learning with neural networks and transformers. Dive into advanced topics like Natural Language Processing (NLP), computer vision, and time series analysis. Gain hands-on experience with AI frameworks such as TensorFlow, PyTorch, and Scikit-learn. Work on real-world projects, Kaggle competitions, and learn how to deploy AI models using Flask/Django and cloud platforms. Stay updated on the latest AI advancements, including Quantum AI and Generative AI.

What you will learn:

1. Foundation of AI/ML

Introduction to AI and ML
Introduction to Python Programming
Data Preprocessing and Feature Engineering

2. Machine Learning Basics

Supervised Learning: Regression and Classification
Unsupervised Learning: Clustering and Dimensionality Reduction
Model Evaluation and Optimization

3. Deep Learning

Neural Networks Basics
Transformers and Attention Mechanisms

4. Advanced Machine Learning Topics

Natural Language Processing (NLP): Tokenization, Sentiment Analysis, and BERT
Computer Vision: Object Detection and Image Segmentation
Time Series Analysis

5. AI Tools and Frameworks

TensorFlow and PyTorch
Scikit-learn for ML
Hugging Face for NLP
Keras for Deep Learning Models

6. Capstone Projects and Hands-On Learning

End-to-end Machine Learning Projects
Real-world Datasets and Kaggle Competitions
AI Deployment: Model Serving using Flask/Django and Cloud Platforms

7. AI Research and Trends

Latest advancements in AI and ML
Introduction to Quantum AI
Future of AI: Generative AI and Responsible AI

₹45,000

(GST included)

(3 Months of Professional Training & 6 Months of Internship)