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About the Creator
Elemants of AI
The Elements of AI website is a collaborative initiative between the University of Helsinki and MinnaLearn. The University of Helsinki, established in 1640, stands as Finland's oldest and largest institution of academic education, renowned for its impactful contributions to society through scientific research, education, and social welfare. MinnaLearn, an innovative online learning company, specializes in AI education, offering comprehensive tools such as learning program design, workshop templates, and self-study materials to elevate organizational AI capabilities. Together, they provide a platform dedicated to making AI education accessible and impactful.
Who is this course for
Curious Learners: Individuals who are interested in understanding what AI is and how it influences our daily lives, without needing prior knowledge in math or programming.
Business Professionals: Those looking to grasp the basics of AI to better understand its applications and potential in their industry or organization.
Students: Learners seeking an accessible introduction to AI concepts that can complement their academic studies or guide their future career choices.
Tech Enthusiasts: People fascinated by the developments in artificial intelligence and eager to learn about the technology behind the latest innovations.
Decision Makers: Managers, executives, and entrepreneurs who need to make informed decisions about implementing AI technologies in their business strategies.
Overview
Introduction to AI is a free online course designed to demystify artificial intelligence for learners of all backgrounds. This course provides a comprehensive introduction to AI, covering fundamental concepts, practical applications, and its impact on society without delving into complex math or programming. It’s perfect for anyone curious about AI's potential and limitations, offering a clear and engaging path to understanding this transformative technology.
Course Highlights
Understanding AI Fundamentals: Get a clear definition of artificial intelligence and its key components, including related fields and philosophical aspects.
AI Problem Solving Techniques: Discover how AI tackles problem-solving through search algorithms and practical applications, with a focus on its use in games and complex scenarios.
Real-World AI Applications: Explore how AI uses probability, Bayes' rule, and Naive Bayes classification in real-world contexts to make predictions and solve problems.
Introduction to Machine Learning: Learn about different types of machine learning, including supervised and unsupervised learning, and gain insights into techniques like nearest neighbor classification and regression.
Neural Networks Basics and Beyond: Understand the basics of neural networks, how they are built, and delve into advanced techniques for more sophisticated AI applications.
Exploring AI Implications: Reflect on the future predictions enabled by AI and assess its societal impacts, including ethical considerations and potential benefits.