Everything you need to teach AI confidently.
Build the knowledge to understand AI, learn how to explain it simply, and use interactive lessons that help students truly understand the concepts.
Build your knowledge · Teach with clarity · Engage every student
Know AI → Teach AI → Engage students
Know AI — build your own conceptual understanding.
Teach AI — turn difficult ideas into simple explanations.
Engage students — let them predict, experiment, train and test.
The goal: concepts that actually land.
We help you become knowledgeable — and classroom-ready.
Some AI knowledge is essential for teaching AI well. We build that knowledge with you, then give you the structure and tools to turn it into great classroom experiences.
Build AI knowledge
Understand the core ideas, how AI evolved, how machine learning works and where modern AI fits — through live training workshops or self-paced courses you take in your own time.
Learn to explain it
Replace unnecessary jargon with intuitive explanations and first-principles thinking.
Teach confidently
Know what students should understand, how to guide the activity and how to make the learning stick.
Built for ICSE, CBSE and NEP 2020.
The catalog is organised by board, so you teach the course written for your syllabus — not a generic one you have to adapt.
Grade 6
The ICSE-aligned AI course — what AI is, where it is already at work, and how a machine learns from examples instead of rules.
See the lessons →Grade 7
The CBSE-aligned AI course — data and its quality, training and testing a model, and reading a prediction critically.
See the lessons →Getting to Know AI
A shorter introductory course for a class meeting AI for the first time — or for a teacher building their own understanding first.
Start here →…and many more, across grades and boards.
What every lesson gives you.
Real screens from AI — Grade 6, as a teacher sees them. Watch the actual lesson video, click through the actual deck, and see the two tabs students never get.
Everything you need — before, during and after class.
Train the Machine supports the whole teaching journey, so you can focus on helping students understand AI.
Before Class
Get ready to teach with confidence.
- Build your understanding of the AI concept
- Review the lesson objective and flow
- Explore the interactive activity yourself
- Use teacher notes and discussion prompts
During Class
Make students experience AI.
- Students interact and experiment
- Predict before seeing the result
- Discuss what happened and why
- Connect the experience to the concept
After Class
Reinforce what students learned.
- Check whether the concept landed
- Use reflection and assessment activities
- Extend the idea with another example
- Track and reinforce student learning
A complete, classroom-ready AI curriculum.
You get the knowledge, curriculum and classroom resources needed to teach AI with confidence.
Structured syllabus
Clear progression, grade-appropriate concepts and learning objectives.
Interactive activities
Hands-on experiences where students build, train, test and discover.
Videos & slides
Ready-to-use material that supports the classroom experience.
Assessments
Check understanding and reinforce the concepts students have experienced.
Grade aligned
Learning grows with students, from foundations to deeper ideas.
Classroom-ready
Designed with the Indian school context and practical teaching needs in mind.
Make AI teaching interactive, engaging and clear.
That is what the courses, the lessons and the activities above add up to — a class that does AI instead of hearing about it.
Interactive
Students predict, test, choose and decide instead of simply listening.
Engaging
Activities give students a reason to participate and pay attention.
Less jargon
Complex concepts become concrete experiences students can reason about.
Understanding sticks
Students experience, explain and reapply ideas instead of only memorising definitions.
Teachers are central to AI education.
The platform creates the interaction. You guide the questions, discussions and connections.
Turn AI behaviour into classroom conversation.
AI makes a prediction. Ask: “Why do you think it chose that?”
AI makes a mistake. Ask: “What could have caused the mistake?”
AI shows bias. Ask: “What happened in the training data?”
AI changes after training. Ask: “What did the machine learn?”
From “I need to teach AI” to “I understand AI and know how to teach it.”
Less unnecessary jargon. More doing. More attention. Deeper understanding.
Build your knowledge. Explore the experience. Bring better AI learning to your classroom.