Introduction to AI - Machine Learning and Deep Learning
Build Practical AI Knowledge Through Machine Learning and Deep Learning Foundations
Created by Varad G. Varadarajan
Explore the world of Artificial Intelligence by learning the core principles behind Machine Learning and Deep Learning. Build a strong foundation in essential concepts, data basics, and popular algorithms. Gain the practical knowledge needed to understand and apply AI in real-world scenarios.
Packt | Jun 2026 | 231 min
What You Will Learn
You will start with the basics, including Python and data science tools, then review essential math concepts. As you move through each section, you will explore data fundamentals, core AI terminology, and hands-on examples of machine learning and deep learning algorithms. Each topic builds on the last, helping you develop a clear and practical understanding.
Key Features
- Grasp the key terms and workflows that drive modern AI and machine learning projects
- Break down major algorithms like regression, decision trees, and neural networks
- Learn to evaluate model performance and apply AI concepts to business problems
Target Audience
Ideal for aspiring AI professionals, students, business leaders, and IT specialists who want a practical introduction to AI. If you have a basic grasp of math concepts like probability and statistics, you'll find it easier to follow along. This course is perfect if you want to understand AI's impact on business, prepare for further study, or explore new career opportunities in technology.
