Artificial Intelligence Free Course

Introduction to Artificial Intelligence

Updated with GenAI for 2026
star 4.46  Beginner level 2.25 learning hrs 178K+ Learners

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Instructor:

Davood Wadi

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About this course

With technology taking the world by storm and its constant evolution to become better and more efficient comes its paramount importance in our lives. Artificial Intelligence is integrated into our lives in a variety of ways. Today, it has become a popular study domain and hence is popularly sought after as a career option. From face recognition in various apps to video suggestions on any video app, AI plays a significant role in making it possible. This course will help you understand the basics of Artificial Intelligence, Neural networks, and Computer Vision with use cases.

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Course outline

Understanding Artificial Intelligence

Artificial Neural Networks (ANN) and Deep Learning Architecture

Deconstruct the architecture of Artificial Neural Networks (ANN). Map the functional relationship between biological neurons and artificial perceptrons. Analyze multi-layered Deep Neural Networks (DNN) for complex Machine Learning feature extraction.

The Biological Neuron

Deep Neural Networks

Natural Language Processing

Natural Language Processing - Use Cases

Computer Vision Overview

Convolution Neural Networks

Computer Vision - Use Cases

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Introduction to Artificial Intelligence

rating icon 4.46

2.25 Hours

Beginner

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178K+ learners enrolled so far

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Master Artificial Intelligence
3 projects 12.5 hrs video content
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Learner reviews of the Free Courses

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Reviewer Profile

5.0

“Unlock the Future: My Journey Through Great Learning’s Introduction to AI”
Great Learning’s Introduction to AI course is a transformative experience for anyone looking to grasp AI fundamentals. The engaging instructors, hands-on projects, and emphasis on ethical considerations create an enriching learning environment. This course sparked my curiosity and confidence in AI, making it an essential investment for future professionals and enthusiasts alike.
Reviewer Profile

5.0

Country Flag Italy
“Introduction to AI, Types of Sub-Topics and Classification of Machine Learning”
The course offers a comprehensive foundation in AI, covering its fundamental concepts and classifications. Highlights include in-depth explorations of sub-topics such as Deep Learning, Machine Learning, Computer Vision, and Artificial Intelligence. Each sub-topic is thoroughly explained with real-world examples and applications, providing a clear understanding of how these technologies are used in practice.
Reviewer Profile

5.0

Country Flag Morocco
“The 'Introduction to AI' Course Was an Incredible Learning Experience”
One of the aspects I valued most was the hands-on projects, which gave me a chance to apply what I learned in a practical context. These projects deepened my understanding and boosted my confidence in working with AI tools and datasets. Additionally, the discussions on ethical AI and its societal impact were thought-provoking and reminded me of the responsibility that comes with developing intelligent systems. Overall, this course was a fantastic introduction to AI, and I highly recommend it to anyone curious about this field.
Reviewer Profile
Asad Abbas

5.0

“Unraveling the Mysteries of Artificial Intelligence: A Beginner's Perspective”
My recent exploration into the world of artificial intelligence (AI) has been both exhilarating and enlightening. Through a series of informative videos, I've gained a solid understanding of AI's core concepts and its transformative potential. AI, at its essence, is the science of creating intelligent machines capable of mimicking human thought processes and actions. It's a field that has witnessed remarkable advancements in recent years, revolutionizing industries from healthcare to finance.

Our course instructor

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Davood Wadi

PhD Marketing/Artificial Intelligence - AI Research Scientist

Artificial Intelligence Expert

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178K+ Learners
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1 Courses
Davood is an Artificial Intelligence Research Scientist and a full-time faculty member at the University of Canada. Previously, he worked at intelChain, where he developed AI and AR solutions for businesses. His research interests include Computer Vision, NLP, meta-learning, Consumer Neuroscience, and Psycho-physiology (eye-tracking, EEG, fMRI), among others.

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