Conceptual Overview of AI & Machine Learning

Demystify AI and ML. Gain a clear understanding of what these technologies are, how they work, and their potential impact on various industries and society as a whole

Overview

This introductory course is designed for individuals who are curious about the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML).

 

Through engaging lectures, interactive discussions, and real-world hands-on exercises, participants will explore the key concepts, terminologies, and applications of AI and ML. This course is perfect for beginners with no prior AI-specific technical background who wish to gain a solid foundation in AI/ML, enabling them to appreciate the significance of these technologies and consider their implications for the future.

 

This course is ideal for anyone interested in gaining a foundational understanding of AI/ML, including students, professionals from non-technical backgrounds, and anyone curious about the technologies shaping our future. Join us to embark on a journey of discovery into the fascinating world of AI and Machine Learning.

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Full course details

Course outline

1.  Introduction to Artificial Intelligence

  • Defining AI: Understanding what AI is and what it is not
  • Brief history of AI: From early concepts to modern AI
  • Types of AI: Narrow AI vs. General AI

2.  Foundations of Machine Learning

  • What is Machine Learning?
  • How ML differs from traditional programming
  • Overview of ML types: Supervised, Unsupervised, and Reinforcement Learning

3.  Key Concepts and Terminologies

  • Understanding algorithms, models, and data in ML
  • Introduction to Neural Networks and Deep Learning
  • Exploring key metrics for evaluating ML models

4. Applications of AI and ML

  • Real-world applications across various industries (e.g., healthcare, finance, transportation)
  • Impact of AI and ML on society and the future of work
  • Ethical considerations and challenges in AI and ML

5. The AI and ML Ecosystem

  • Overview of tools, languages, and platforms used in AI/ML development
  • Introduction to the role of data scientists and AI/ML engineers
  • Emerging trends and future directions in AI and ML

6. Getting Started with AI and ML

  • Resources for further learning and exploration in AI and ML
  • Pathways to becoming an AI/ML professional
  • Community and networking opportunities in the AI/ML field

 

Audience / prerequisites

This course has no prerequisites.

In this class you will learn how to

After completing this course, you will be able to:

  • Understand the basic concepts and terminologies of AI and ML
  • Recognize the types and applications of AI and ML in various sectors
  • Appreciate the ethical considerations and societal impacts of AI and ML
  • Identify resources and pathways for further learning in AI and ML

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