Artificial Intelligence with Python For Kids and Teens
For young learners who already know Python basics!
Unlock the power of AI, Data Science, NLP, Automation, and Machine Learning — all built on Python! This course is perfect for students who have already learned Python and are ready to take their skills to the next level.
Who Is This AI Course For?
Kids and Teens who have already completed a beginner Python course (variables, loops, functions, and lists)
Students eager to explore real-world applications of their coding knowledge
Young minds curious about data, smart apps, and AI technologies
Why Choose Our AI Course?
Kid-Friendly & Interactive: We break down complex concepts and build foundational skills step-by-step.
Project-Based Learning: Students work on real-world projects — from chatbots to data visualizations to Zapier automation.
Expert Instruction: Live classes guided by experienced educators who simplify complex topics.
Empowering Skills: Equips kids with future-ready tools like data storytelling, regression, classification, clustering, NLP and automation.
What you'll learn in our Python AI Course?
What is AI? How is it different from Automation?
Real-world applications of AI
Reading and reflecting on AI articles
Mini Project: Build a simple chatbot using Tkinter
Fun Build: Rock-Paper-Scissors with AI logic
Introduction to TextBlob and NLP
Sentiment analysis: polarity & subjectivity
Detecting emotion in text
Mini Project: Sentiment checker
Fun Build: Autocorrect using TextBlob
Introduction to Hugging Face and pre-trained models
How AI can be creative
Story generation using Transformers
Project: AI-generated short stories
Discussion: Ethics and fun in AI-generated content
What is a dataset? How do we read CSV files?
Exploring .head(), .info(), .describe()
Filtering rows, selecting columns
Sorting and Data Challenges
Mini Challenges: Based on real-world datasets
Why visuals matter in data science
Bar charts, pie charts, line plots using Matplotlib
Stacked bar charts
Challenge: Project with Titanic Dataset
What is Machine Learning?
Difference between Supervised and Unsupervised Learning
Real-world examples for kids
Supervised Learning
Regression:
– Predicting outcomes (like scores or time)
– Line fitting, training & testing
– Fun challenges with small datasets
Classification:
– Sorting into groups
– Exploring Probability
– Hands-on with real datasets
Unsupervised Learning
Clustering
– What is clustering?
– Discovering hidden groups without labels
– K-Means Algorithm explained with simple examples
– Mini Project: Group data points based on features
Students apply:
– Data analysis with Pandas
– Visualization with Matplotlib
– Simple ML model (regression or classification)
What is Zapier and how does it help automate workflows?
Connecting Python scripts to Google Sheets
Real-life use cases for automating reports
Ready to Future-Proof Your Child's Skills?
AI and Data Science are shaping the world — from personalized recommendations to voice assistants and smart robots. Through this course, your child won't just learn how these systems work — they'll actually build them.
Whether it's analyzing data, training simple machine learning models, or creating fun AI-powered apps, this program is designed to spark curiosity and build confidence.
Give your child a head start in tomorrow’s tech world — Enroll now in “Artificial Intelligence and Data Science for Kids”!
Artificial Intelligence and Data Science
- Ages 13+
- 48 Sessions
- Intermediate
- Certified
Requirements
- A laptop/desktop with Zoom installed
- Good understanding of Python Programming
- No prior AI experience needed