AI & Machine Learning

About Course

Learn the foundations of Artificial Intelligence and Machine Learning with hands-on projects, algorithms, and real industry applications.

The fundamentals of Artificial Intelligence and Machine Learning
How to use Python, NumPy, Pandas, and data visualization tools
How classification and prediction models work
The logic behind supervised and unsupervised learning
Introduction to neural networks and deep learning
How to build, train, and test ML models
How to apply ML techniques to real-world problems

Course Content

Introduction to AI & ML
A simple introduction to the world of AI, ML, and real-world applications.

What is Artificial Intelligence?
AI vs Machine Learning vs Deep Learning
Where AI is used today (Practical Applications)

Python Foundations for ML
Learn the essential Python skills required to work with datasets and ML models.

Machine Learning Fundamentals
Understand ML models and how they are built, trained, and evaluated.

Deep Learning Essentials
Introduction to ANN, neural networks, and deep learning concepts.

Projects & Assessment
Apply your knowledge with real-time project work.

Student Ratings & Reviews

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Trainut

AI & Machine Learning

About Course

What Will You Learn?

Course Content

Introduction to AI & ML
A simple introduction to the world of AI, ML, and real-world applications.

What is Artificial Intelligence?

AI vs Machine Learning vs Deep Learning

Where AI is used today (Practical Applications)

Python Foundations for ML
Learn the essential Python skills required to work with datasets and ML models.

Python Basics for AI

Working with NumPy & Pandas

Data Visualization with Matplotlib / Seaborn

Machine Learning Fundamentals
Understand ML models and how they are built, trained, and evaluated.

Supervised Learning

Unsupervised Learning

Model Evaluation (Accuracy, Precision, Recall, F1)

Deep Learning Essentials
Introduction to ANN, neural networks, and deep learning concepts.

Basics of Neural Networks

Activation Functions Explained

Building a Simple ANN Model

Projects & Assessment
Apply your knowledge with real-time project work.

Regression Prediction Project

Classification Project

About Course

What Will You Learn?

Course Content

Introduction to AI & ML A simple introduction to the world of AI, ML, and real-world applications.

What is Artificial Intelligence?

AI vs Machine Learning vs Deep Learning

Where AI is used today (Practical Applications)

Python Foundations for ML Learn the essential Python skills required to work with datasets and ML models.

Python Basics for AI

Working with NumPy & Pandas

Data Visualization with Matplotlib / Seaborn

Machine Learning Fundamentals Understand ML models and how they are built, trained, and evaluated.

Supervised Learning

Unsupervised Learning

Model Evaluation (Accuracy, Precision, Recall, F1)

Deep Learning Essentials Introduction to ANN, neural networks, and deep learning concepts.

Basics of Neural Networks

Activation Functions Explained

Building a Simple ANN Model

Projects & Assessment Apply your knowledge with real-time project work.

Regression Prediction Project

Classification Project

Student Ratings & Reviews

Introduction to AI & ML
A simple introduction to the world of AI, ML, and real-world applications.

Python Foundations for ML
Learn the essential Python skills required to work with datasets and ML models.

Machine Learning Fundamentals
Understand ML models and how they are built, trained, and evaluated.

Deep Learning Essentials
Introduction to ANN, neural networks, and deep learning concepts.

Projects & Assessment
Apply your knowledge with real-time project work.