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Introduction to Artificial Intelligence

AIBridge

About This Course

This course, Introduction to Artificial Intelligence (AI101), is designed to give learners a strong foundation in the concepts, tools, and real-world applications of AI. You will explore how machines can learn from data, recognize patterns, and make decisions. The course covers essential topics such as machine learning basics, neural networks, natural language processing, and ethical considerations in AI.

Through a combination of interactive lessons, practical examples, and mini-projects, students will gain hands-on experience with AI tools and workflows. By the end of the course, learners will be able to understand how AI systems are built and applied across industries such as healthcare, finance, and education. This course is ideal for beginners who are curious about AI and want to start building a future in this rapidly evolving field.

Requirements

There are no strict prerequisites for this course. However, basic computer literacy and familiarity with using the internet are recommended. A general understanding of mathematics (such as high school-level algebra) will be helpful but is not mandatory.

Prior programming experience is not required, as the course introduces concepts in a beginner-friendly manner. Learners with some exposure to programming (especially Python) may find it easier to grasp practical examples.

Course Staff

Course Staff Image #1

Dr. Nimal Perera

Dr. Nimal Perera is a senior lecturer in Computer Science with over 12 years of experience in artificial intelligence and data science. He has worked on multiple AI research projects and is passionate about making complex concepts accessible to beginners.

Course Staff Image #2

Ms. Sanduni Fernando

Sanduni Fernando is an AI engineer and industry practitioner specializing in machine learning applications. She brings real-world insights into the course and helps students understand how AI is used in modern businesses.

Frequently Asked Questions

What web browser should I use?

The Open edX platform works best with current versions of Chrome, Edge, Firefox, or Safari.

See our list of supported browsers for the most up-to-date information.

How long does it take to complete the course?

The course is designed to be completed in approximately 4–6 weeks, assuming 3–5 hours of study per week. However, learners can progress at their own pace.

Will I receive a certificate?

Yes, learners who successfully complete all assessments and course requirements will receive a certificate of completion.

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