AI and Machine Learning Essentials
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Recommended experience
Recommended experience
What you'll learn
Identify key concepts in AI and machine learning
Understand AI's impact on business and society
Evaluate the ethical and societal implications of AI
Skills you'll gain
- Digital Transformation
- AI Integrations
- Emerging Technologies
- Machine Learning Methods
- AI literacy
- Artificial Intelligence and Machine Learning (AI/ML)
- Law, Regulation, and Compliance
- Applied Machine Learning
- Machine Learning
- Computer Vision
- Artificial Intelligence
- Automation
- Data Ethics
- Responsible AI
- Business Transformation
- Natural Language Processing
Details to know
June 2026
6 assignments
See how employees at top companies are mastering in-demand skills
There are 6 modules in this course
This course offers a comprehensive exploration of Artificial Intelligence (AI) and Machine Learning (ML), two of the most transformative technologies in the modern world. Youβll learn about their development, impact, and the ethical dilemmas they raise in business and society. The course is designed to provide both technical insights and a deep understanding of the broader implications of AI.
Throughout the course, learners will gain practical knowledge about how AI and ML work and their real-world applications. Youβll also gain insight into the challenges these technologies present, such as their potential societal risks and consequences. By analyzing case studies and current use cases, this course will help you comprehend the advantages and potential pitfalls of these technologies. What sets this course apart is its unique combination of theoretical foundation and practical applications. You wonβt just learn about AI and ML in the abstract, but also how they are applied in real-world settings, shaping industries and societies. This balance of theory and practice will give you a well-rounded view of AI and ML. This course is ideal for individuals interested in AI and its applications across various fields, including business, technology, and ethics. A basic understanding of computer science or programming is recommended but not essential. This course is based on the book, AI and Machine Learning, by Was Rahman. Copyright Β©2020 by Sage Publications Limited. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. Published by Sage Publications Limited, London. Used by arrangement with Sage Publications Limited.
This module examines the definitions and characteristics of intelligence in both humans and machines, distinguishing between narrow and general forms of artificial intelligence. Learners will explore real-world examples, such as smart speakers and chatbots, and discover how experts evaluate and measure AI capabilities. The module also addresses the challenges in recognizing and defining artificial general intelligence (AGI).
What's included
1 video5 readings1 assignment
1 videoβ’Total 1 minute
- Overviewβ’1 minute
5 readingsβ’Total 27 minutes
- Introductionβ’6 minutes
- Illustration: How Intelligent is a Smart Speaker?β’5 minutes
- Illustration: How Intelligent is a Simple Chatbot?β’4 minutes
- 'General Intelligence': The Ninth Characteristicβ’5 minutes
- How Would we Recognize AGI?β’7 minutes
1 assignmentβ’Total 16 minutes
- Exploring the Nature and Challenges of Artificial Intelligenceβ’16 minutes
This module traces the origins and evolution of artificial intelligence, from its philosophical roots to its establishment as a scientific discipline. Learners will discover key milestones, influential figures, and the interdisciplinary nature of AI's development. By understanding this historical context, students will gain insight into how past ideas shape current AI technologies.
What's included
1 video3 readings1 assignment
1 videoβ’Total 1 minute
- Overviewβ’1 minute
3 readingsβ’Total 17 minutes
- Introductionβ’4 minutes
- Conceived by Philosophers, Brought to Life by Mathematicians, Scientists and Engineersβ’6 minutes
- The Birth of AI is Registered in June 1956β’7 minutes
1 assignmentβ’Total 16 minutes
- Origins and Evolution of Artificial Intelligence Conceptsβ’16 minutes
This module introduces the foundational principles of artificial intelligence and machine learning, including key concepts, mathematical representations, and real-world applications such as computer vision, natural language processing, and intelligent automation. Learners will explore how machines are taught to learn, the challenges of building intelligent systems, and the role of deep learning in advancing AI capabilities.
What's included
1 video9 readings1 assignment
1 videoβ’Total 1 minute
- Overviewβ’1 minute
9 readingsβ’Total 74 minutes
- Introductionβ’7 minutes
- Illustration: Understanding AI Movie Recommendations using the Six Conceptsβ’7 minutes
- Bringing it all Togetherβ’8 minutes
- Computer Visionβ’10 minutes
- Natural Language Processingβ’10 minutes
- Intelligent Automationβ’10 minutes
- How We Teach Machines to 'Learn'β’5 minutes
- Better Learning Strategies than Random Trial and Errorβ’10 minutes
- Deep Learningβ’7 minutes
1 assignmentβ’Total 16 minutes
- Foundations of Artificial Intelligence and Machine Learningβ’16 minutes
This module explores the transformative impact of artificial intelligence across home automation, transportation, and business operations. Learners will discover how AI technologies are reshaping daily life, revolutionizing industries, and streamlining processes from logistics to human resources. Real-world examples illustrate both the opportunities and challenges presented by AI integration.
What's included
1 video9 readings1 assignment
1 videoβ’Total 1 minute
- Overviewβ’1 minute
9 readingsβ’Total 55 minutes
- Introductionβ’6 minutes
- Where the Intelligence in Household AI Livesβ’5 minutes
- Robot 'Butlers'β’8 minutes
- AI in Cars: Data is the New Fuelβ’6 minutes
- AI in Taxisβ’6 minutes
- Nine to Five: AI in Businessβ’8 minutes
- Processing Paperwork: RPAβ’7 minutes
- Delivering Thingsβ’5 minutes
- Employing and Managing Peopleβ’4 minutes
1 assignmentβ’Total 16 minutes
- AI in Modern Business and Daily Lifeβ’16 minutes
This module explores the complex challenges posed by artificial intelligence, including ethical dilemmas, control issues, and the effectiveness of regulatory frameworks. Learners will examine real-world and hypothetical scenarios to understand the risks and consequences of AI deployment in sectors like healthcare and business. The module also discusses the roles of regulators and businesses in ensuring responsible AI governance.
What's included
1 video4 readings1 assignment
1 videoβ’Total 1 minute
- Overviewβ’1 minute
4 readingsβ’Total 25 minutes
- Introductionβ’6 minutes
- Applying the Medical Care Analogy to AIβ’7 minutes
- 'Good' and 'Bad' in Business Performance Termsβ’6 minutes
- Can Regulators Control AI Effectively?β’6 minutes
1 assignmentβ’Total 16 minutes
- Ethical and Practical Challenges of Artificial Intelligenceβ’16 minutes
This module explores diverse perspectives on the future of artificial intelligence, drawing from both expert analysis and speculative fiction. Learners will compare predictions from scientists, academics, and futurologists, and assess the potential societal impacts of AI advancements.
What's included
1 video3 readings1 assignment
1 videoβ’Total 1 minute
- Overviewβ’1 minute
3 readingsβ’Total 19 minutes
- Introductionβ’6 minutes
- The Future According to Scientists and Academicsβ’7 minutes
- The Future According to Professional Futurologistsβ’6 minutes
1 assignmentβ’Total 16 minutes
- Technology, Society, and the Futureβ’16 minutes
Instructor
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