This free Artificial Intelligence (AI) course provides a solid foundation in key AI concepts, enabling you to apply these skills in practical and real-world settings. By the end of the course, you'll be well-equipped to tackle Artificial Intelligence (AI) challenges across various industries, from building neural networks to implementing advanced computer vision techniques.In this course, you’ll start with an overview of Artificial Intelligence and explore its impact across various industries. You’ll learn about neural networks, understanding how they connect to machine learning and biological neurons, and gain a solid understanding of deep neural networks. The course also covers Natural Language Processing (NLP), explaining its role in real-world applications like sentiment analysis and chatbots. You’ll study the basics of computer vision and its uses in image classification, segmentation, and video analysis. Finally, you’ll build on your knowledge with real-world examples of computer vision, such as face recognition and traffic analytics.

Syllabus

Introduction to AI

This module briefly introduces you to Artificial Intelligence. Understand what artificial intelligence is and all the domains where it has a stronghold.

Introduction to computer vision

This module will help you understand computer vision from the basics. You will comprehend the term better with the help of examples and understand the tasks it includes, like image classification, segmentation, video analysis, and more.

Neural Networks

Learn in detail about Neural Networks, the special part of Machine Learning that connects to Artificial Intelligence. Comprehend computer versions of Artificial Neural Networks along with biological neurons and how they are interconnected. Also, get an in-depth understanding of deep neural networks.

Introduction to natural language processing

Get introduced to Natural Language processing in detail through this module. Understand what NLP is and its current need in industries. Comprehend it better with the two popular examples of sentiment analysis and chatbot.

Computer vision examples

This module enhances your practical knowledge of computer vision and Artificial Intelligence through examples of image classification, face recognition, and video and traffic analytics.

Generative AI for Beginners

In this module, we will explore foundation in AI, machine learning, and deep learning concepts while introducing learners to generative models, neural networks, and large language models. It also explores real-world applications, challenges, and the mathematical underpinnings of Generative AI.