Artificial intelligence (AI) and machine learning (ML)

Introduction

Artificial Intelligence (AI) and Machine Learning (ML) are two of the most important and rapidly evolving fields in computer science today. This course will provide a comprehensive overview of AI and ML principles, algorithms, technologies, applications, and more. We will focus on understanding how to apply AI and ML concepts to solve problems in various industries. The course objectives include understanding AI technologies; exploring technical aspects such as supervised learning, unsupervised learning, deep learning, reinforcement learning; applying AI/ML to real-life scenarios; developing machine learning models; utilizing cloud computing platforms for data processing; using open-source libraries for big data analysis; and much more. By the end of the course, you should have a good working knowledge of both AI and ML fundamentals that can be applied to solve business problems with data-driven insights.

Objectives

At the close of this course, participants will be capable to:

• Understand the basics of artificial intelligence and machine learning
• Analyze data to create insights by applying predictive techniques
• Use programming language for AI/ML applications
• Develop projects using AI/ML algorithms and frameworks

Table of Contents

Module 1: Introduction to Artificial Intelligence and Machine Learning

Module 2: Data Science Basics

Module 3: Creating an Artificial Intelligence (AI) and Machine Learning (ML) Process

Module 4: Tools and Frameworks

Module 5: Building Advanced Projects with AI/ML

Module 6:  Advanced Case Studies Image Classification, Text Summarization, Speech Synthesis

Module 7: Best practices in Machine Learning

Module 8: Final exams

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