Students will learn to build different types of AI - to detect and predict categories (for example whether a person is Happy/Sad or Child/Adult), to detect and predict values (such as teaching an AI to do Math), and how to classify images (such as difference between cats/dogs, emoticons, medical images). They will build AI projects to do each of these and learn the concepts behind them.
The core AI concepts they will learn are:
• Learn to identify different types of algorithms (classification, regression) appropriate for different types of problems and data (text, numbers, categories and images).
• Train an AI system from raw data and use it to build cool applications.
• How to improve an AI with better data
• How to measure and tune the performance of different AI algorithms to make them better
• How AI compares to rule engines (can I beat an AI by writing rules?), and when to use and not to use AI
• Difference between AI and Robotics.
• How to measure and tune the performance of different AI algorithms to make them better
• How AI compares to rule engines (can I beat an AI by writing rules?), and when to use and not to use AI
• Difference between AI and Robotics.
• How AI can be used to process images. How to build cool image applications using AI
• What is Deep Learning? How does it work? How can it be used for AI to understand images?
• How to train an AI to compete and win in games.
Prerequisites
• A laptop with chrome browser
• Wifi connectivity
• Coding knowledge optional. All projects can be done with no code. If the student would like to code, we provide examples in Python, Java and Javascript
• No previous math or algebra knowledge needed
What Students Take Away
• A good understanding of AI - a fascinating and fundamental technology that is changing our world.
• Several AI projects that they can showcase, covering numbers, text and images
• A lifetime access to an online cloud account where they can continue to build new projects and learn more AI
• Opportunities to compete and win in AI competitions