AI ML with Python and Deep Leaning

Overview

The “AI ML with Python and Deep Learning” course provides a comprehensive introduction to Artificial Intelligence, Machine Learning, and Deep Learning concepts, with a focus on practical implementation using Python. Participants will gain hands-on experience in Python programming, data handling, basic statistics, machine learning tools and techniques, and building and validating models. The course also covers advanced topics such as neural networks and deep learning using TensorFlow. Through problem-solving and case studies, participants will develop the skills required to apply AI and ML techniques to real-world scenarios.

Objectives

At the end of AI ML with Python and Deep Learning training course, participants will

• Have a solid understanding of Python programming basics and data handling. | Possess knowledge of basic statistics and reporting. | Be familiar with various machine learning tools and techniques. | Acquire skills in implementing basic and advanced algorithms in machine learning. | Gain expertise in model building and validation techniques. | Have a solid understanding of Python programming basics and data handling.
• Possess knowledge of basic statistics and reporting.
• Be familiar with various machine learning tools and techniques.
• Acquire skills in implementing basic and advanced algorithms in machine learning.
• Gain expertise in model building and validation techniques.

Prerequisites

Elementary programming knowledge. Familiarity with statistics

Course Outline