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A 96-lesson journey to mastering artificial intelligence, coding, and future-ready problem solving.
$ 0 for the first class 100% free
TalentGum’s AI and Machine Learning course is a structured, project-based learning journey designed for students aged 9 to 18 years. It takes learners from being curious beginners to becoming confident creators who understand how intelligent systems actually work. Across a carefully designed 96-lesson pathway, students explore core pillars such as Computer Vision, Machine Learning, Natural Language Processing, Python programming, and Data Science. Each concept is taught through hands-on, real-world projects so learning is practical, engaging, and meaningful.
This is not a series of random workshops. It is a clear progression that helps students move from visual AI tools to real coding environments, gradually building technical depth, logical thinking, and problem-solving skills that prepare them for the future.
A clear progression from foundations to real-world data science skills.
Lessons 1–24
Lessons 25–48
Lessons 49–72
Lessons 73–96
Real projects that demonstrate measurable skill growth
To help recommend the best fit course for your child, I'll ask you 6 quick questions about their age, experience, interests, and learning goals. Based on their fit, I'll suggest one course that fits them best.
A clear progression from AI fundamentals to Python and Data Science — not random, disconnected workshops.
Students build projects using PictoBlox, Teachable Machine, Machine Learning for Kids, MIT App Inventor, and Python, while learning core concepts in Machine Learning and Artificial Intelligence.
We gradually transition learners from block-based AI tools to structured Python programming and data libraries — building true technical depth.
Covers Computer Vision, Machine Learning, NLP, App Development, and Data Analysis — the core pillars of tomorrow's careers.
Students complete real-world capstone projects that demonstrate mastery of AI concepts and prepare them for advanced learning or competitions.
Select the session format that best fits your individual learning needs.
Quarterly Half-yearly Annually
My daughter enjoys the lessons very much and she has learned a lot. She also thinks the lessons are fun. She always proudly shows us what she has done at the end of the lesson.
My daughter thoroughly enjoys her coding classes and looks forward to each one. TalentGum's project-based learning method effectively keeps her engaged. I'm glad to be making the... Read More
My daughter Anika loves coding class at TalentGum. She is in the beginner level, 7 years old. Basic concepts of coding are introduced through fun and interactive activities like... Read More
My 7-year-old daughter, Vania Khan, is learning block coding at TalentGum, and I’m thrilled with her progress! The platform is fun and engaging, keeping her excited to learn. The... Read More
A big thanks to the TalentGum team for their amazing online extracurricular platform! My 8-year-old son is taking keyboard and coding classes, and I’m thrilled with both. The... Read More
We enrolled our son, Kiaan, in group sessions and we’re amazed with how well he learns and interacts with his peers. The teacher is approachable and has made Kiaan very... Read More
My daughter is very happy and enjoying well in her classes. She has learnt a lot.
I didn't think a 12-year-old could grasp Machine Learning, but the curriculum breaks it down so well. My son just built a face-recognition app and he is absolutely thrilled.
This is by far the most advanced program we've found for kids. It's not just basic drag-and-drop; they are learning real-world tools. Definitely giving my daughter a head start for... Read More
The one-on-one format is exactly what my child needed. The mentor gives full attention and tailors every session to my child's pace and learning style. We've seen incredible... Read More
The hands-on projects are brilliant. Learning about AI ethics alongside the actual code gives the kids a really mature understanding of technology.
Our son built an emotion detector in his first phase! The transition into Python in the later modules is handled brilliantly. Highly recommended for high-achieving kids.
A. A project-based AI-ML course for ages 9–18, covering Computer Vision, Machine Learning, Natural Language Processing, Python programming, and Data Science across a structured 96-lesson pathway, taking kids from visual AI tools to real coding environments.
Book a free online demo and watch them transform from a curious learner into an AI creator.
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