AI ML with Python and Deep Learning

This program provides a comprehensive introduction to Artificial Intelligence, Machine Learning, and Deep Learning using Python. It focuses on building foundational knowledge and practical skills required to develop AI models, train algorithms, and work with neural networks. The program is designed for learners aiming to enter AI development or strengthen their machine learning expertise.

Introduction to AI, ML & Deep Learning

• Overview of Artificial Intelligence concepts

• Difference between AI, ML, and Deep Learning

• Real-world applications of AI systems

• Machine learning workflow overview

• Introduction to neural networks

Python for AI Development

• Python fundamentals for data science

• Working with libraries like NumPy and Pandas

• Data preprocessing techniques

• Data visualization basics

• Preparing datasets for machine learning

Machine Learning Fundamentals

• Supervised and unsupervised learning

• Regression and classification models

• Model training and evaluation

• Feature selection and engineering

• Improving model performance

Deep Learning Concepts

• Introduction to neural networks

• Understanding layers and activation functions

• Training deep learning models

• Introduction to frameworks like TensorFlow/PyTorch

• Image and text processing basics

Practical AI Model Development

• Building end-to-end ML projects

• Model deployment basics

• Evaluating real-world performance

• Handling overfitting and optimization

• Industry use cases and applications