Join today
                
                
                
                
                Introduction to Artificial Intelligence (AI)
Learn what Artificial Intelligence is. Learn types of AI - Classification and Regression and build several types of AI. Build your own project!
                
                
                
            
    Format
                        
                        
                        
                        
    Online
                    Learning Modules
                        
                        
                        
                        
25
    Taken by 
                        
                        
                        
                        
120+ students
Learning Videos
                        
                        
                        
                        
50+
    Hands on Exercises
                        
                        
                        
                        
10+
Discussions and Quizzes
                        
                        
                        
                        
10+
What you are going to learn
                
                
                
                
Artificial Intelligence and. Machine Learning
Throughout this course you will cover the following Topics, Tools and Modules
1. Build AI and ML models for different types of data
• Vector
• Text
2. Build different types of predictive models (Regression and Classification)
3. Learn the basic parameters that impact AI model performance
• Impact of size of data
• Impact of prediction class imbalance
• Impact of data corruption
4. Bring in your own data to build a custom AI that can predict what you choose
5. Code lab where you connect your custom AI to build an intelligent application (like a chatbot) in Scratch, Python or Java.
6. Use the same industry cloud tools that businesses and experts do, We show you how to use them easily. You can use the same tools as you do more advanced classes.
            1. Build AI and ML models for different types of data
• Vector
• Text
2. Build different types of predictive models (Regression and Classification)
3. Learn the basic parameters that impact AI model performance
• Impact of size of data
• Impact of prediction class imbalance
• Impact of data corruption
4. Bring in your own data to build a custom AI that can predict what you choose
5. Code lab where you connect your custom AI to build an intelligent application (like a chatbot) in Scratch, Python or Java.
6. Use the same industry cloud tools that businesses and experts do, We show you how to use them easily. You can use the same tools as you do more advanced classes.
Course reviews
The AIClub workshop was a great introduction to artificial intelligence. I could see that the students understood the current real world applications of it and were excited about developments in the future.
                        
                        
                        
                        Cynthia, Middle School Teacher
                        
                        
                        
                        
                    My kids (12 and 10) enjoyed the class very much. They are now able to articulate their much deeper understanding of AI with clarity. he approach of the class really opens up kids' imagination and creativity, demystifies AI to kids and makes it easy and fun. The kids also get to give a presentation on their creation -- a great practice for their presentation skill, a much needed real-world skill. I highly recommend this provider!
                        
                        
                        
                        
    Helen, Mom of two Middle Schoolers
                        
                        
                        
                        
                    