4 modules
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
Online Classes
Gain insight into a topic.
4.7
(15,163 reviews)
Introduction to Artificial Intelligence (AI)
Duration: 2-4 weeks
This course introduces young learners to the basics of AI, including what AI is and how it’s used in everyday life. It often includes hands-on projects, like building simple AI models or chatbots.
Introduce students to the fundamental concepts of AI and its applications in everyday life
Key Topics
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What is AI? Understanding smart machines. - History and development of AI.
- AI applications in education, healthcare, and entertainment.
- Ethical considerations in AI.
Learning Outcomes
- Understand basic AI concepts
- Identify real-world applications of AI.
- Awareness of ethical issues related to AI
AI for Kids
Duration: 4 - 8 weeks
One of the most popular AI courses, this program covers supervised and unsupervised learning, deep learning, and reinforcement learning. It's ideal for students majoring in computer science or related fields.
Introduce students to the integration of AI with robotics for problem-solving.
Key Topics
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Basics of robotics and how robots use AI
- Programming robots with AI to solve real-world problems.
- Hands-on projects using platforms like Arduino, LEGO Mindstorms, or Raspberry Pi.
Learning Outcomes
- Learn how AI is used in robotics
- Gain experience in building and programming simple robots
- Understand the interaction between hardware and AI algorithms.
Scratch and AI
Duration: 2 - 4 weeks
This course allows students to create simple AI projects using Scratch, a block-based programming language, to understand basic AI principles like pattern recognition and decision-making.
Provide students with an understanding of data science and how to use data to solve problems
Key Topics
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Introduction to data collection and analysis.
- Visualization of data using tools like Python, Excel, or Google Sheets.
- Real-world examples of data-driven decision-making (e.g., climate change, social media trends).
- Introduction to statistics and probability.
Learning Outcomes
- Learn basic data collection and analysis techniques
- Understand data visualization and storytelling with data.
- Introduction to key data science tools and platforms.
AI Explorations
Duration: 8 - 10 weeks
Aimed at middle and high school students, this course focuses on how AI is transforming various fields and includes practical classroom activities to develop AI projects.
Introduce students to the integration of AI with robotics for problem-solving.
Key Topics
-
Introduction to data collection and analysis.
- Basics of robotics and how robots use AI.
- Programming robots with AI to solve real-world problems.
- Hands-on projects using platforms like Arduino, LEGO Mindstorms, or Raspberry Pi.
Learning Outcomes
- Learn how AI is used in robotics.
- Gain experience in building and programming simple robots.
- Understand the interaction between hardware and AI algorithms.