Classes 3 to 5
The adventure path
What comes next?
Stars and rewards for finishing. No leaderboard, so nobody is racing to be first.
Train your first machine in ten taps.
This is a Class 6 lesson on SkillNova. Tap the board to drop mangoes and limes, and watch the machine work out how to tell them apart.
AI courses for schools, universities and companies in India. School courses follow the CBSE and Maharashtra State Board syllabus.
Class 6 · Unit 6 · How AI works
SmallerUp is sweeterBigger
The coloured areas are the machine's guess. Orange means it would call a fruit there a mango, green a lime.
Try this: drop one lime in the middle of the mangoes. See what a wrong example does to the machine.
2school boards live
3 to 8classes covered
6university streams
9university courses
6company courses for all industries
Schools · Classes 3 to 8
Play it first.
Play it first.
Explain it after.
Every unit follows the board's plan for the class. Younger children learn through games and stories. Older students build things, test them and argue about the results.
Classes 6 to 8
The mentor
Your machine just called a lime a mango. What would fix it fastest?
A guided course, plus an AI Lab where students practise with real tools.
Teachers
The lesson plan, ready
Class 6 · Unit 5 · Introduction to AI
Each board lesson plan comes with a full content pack. Swap any part for another from the library.
CBSELive
Maharashtra State BoardLive
ICSELaunching soon
Other state boardsLaunching soon
See the full school programme →
Universities · Six streams
One theory.
See all nine university courses →
One theory.
Six ways in.
A dentistry student and a civil engineer take the same course. The data, the case study and the project come from their own field.
Introduction to AI · How machines learn
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Courses built to the university's syllabus
- Introduction to AIFoundations, supervised learning, how machines learn, generalisation.
- Reinforcement LearningAgents and rewards, decision processes, Q-learning, policy gradients.
- Generative ModelsGenerators and discriminators, training, controllable generation, evaluation.
- Six more coursesLarge language models, AI agents, computer vision, MLOps, responsible AI, physical AI and robotics.
- Guided projectsAssignments and capstones from the student's stream, with faculty feedback.
Corporates · By industry and workflow
See the full corporate programme →
Training that starts from the team's own work.
Each course is written for one industry. The exercises use the decisions, regulators and numbers that team deals with every day.
A client walks in
Set the client's answers. The model proposes a risk band. The adviser has to decide whether to sign it.
Model proposes
Training simulation with illustrative numbers. Module 4: Suitability, bias and oversight.
A shaft diameter starts to drift
For most of the shift every part is inside the control limits, so the chart looks fine. Scrub through and see when the model speaks up.
–Model flags drift at part
–Control limit crossed at part
–Parts of warning
Training simulation with illustrative numbers. Module 3: Predictive quality.
Entering the industryDrills on daily tasks, then a mock interview.
Mid-level managersRun a pilot in your own team: scope, data, sign-off.
C-levelWhere to invest, what to govern, what to measure.
What's live in India today
Schools
- CBSEComputational Thinking and AI, Classes 3 to 8Live
- Maharashtra State BoardAI syllabus, Classes 3 to 8Live
- ICSELaunching soon
- Other state boardsLaunching soon
Universities
- EngineeringMechanical, Computer, CivilLive
- Finance and AccountingLive
- Health sciencesGeneral Medicine, DentistryLive
- More courses and streamsLaunching soon
Corporates
- Wealth managementAdvisory work under SEBI and RBI rulesLive
- ManufacturingQuality and maintenance on the shop floorLive
- More industriesLaunching soon
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For schools · Classes 3 to 8
For schools · Classes 3 to 8
Your board's AI syllabus, ready to teach on Monday.
Lessons, games, labs and teacher packs for every unit in Classes 3 to 8, in the order CBSE and the Maharashtra State Board set them.
Class
Sample outline. Tap a unit to see what happens in it. The final unit list follows the board's documents for each class.
Classes 3 to 5
A path to follow. A shelf to wander.
The path is the board's course, one step at a time. The library is for curiosity: short books, one idea each, that a child can open whenever they like.
- Computational thinking first, with AI basics added on top
- Stars and rewards for finishing a step or a book
- No leaderboard and no ranks
The library · pick a book
AI Lab · Practice round · Asking well
You need help with a science poster. Improve the prompt before you send it.
Classes 6 to 8
A mentor to think with. A lab to try things in.
Older students get a guided course that asks questions back. Then they go into the AI Lab and practise with real tools, learning to ask well and to check what comes out.
- Train a simple model and find out why it makes mistakes
- Build a game in Scratch
- Make something with generative AI, then check it for errors
- Debate what responsible use looks like
Teachers
Two jobs, kept apart: run the class, plan the lesson.
Classroom · Class 6B · AI period, Thursday
Pick students from the school roster
Content studio · Class 6 · Unit 5 · Introduction to AI
The board lesson plan, with a pack in every slot
Principals and coordinators
From sign-up to the first lesson
- Load the rosterStudents and teachers come in from the school's own records.
- Set the classesTeachers pick their students and periods.
- Teach the first unitStudents start on the path straight away. There is no entry test.
- Follow progressThe office sees units completed by class, term by term.
Sample view · Units completed this term
Quick answers
Which boards can we start with?
CBSE and the Maharashtra State Board, for Classes 3 to 8. ICSE and other state boards are launching soon.
Do students take a test before they begin?
No. School students start on the first unit straight away.
Can teachers change the lessons?
Yes. Each board lesson plan arrives with a standard pack, and a teacher can swap any part for another from the library.
Are children ranked against each other?
No. Children earn stars and rewards for finishing. There is no leaderboard.
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For universities · Six streams
For universities · Six streams
Nine AI courses, taught through your students' own field.
The theory is the same for everyone. The data, the case study and the project change with the student's stream. Pick a stream and the page follows.
Stream
The courses
Pick a course. See it for .
From the labs
Three labs you can run right here.
Lab · Grid world
An agent learns a route from reward alone
The agent starts at S and wants the star. Red squares end the run. Nobody tells it the way. Each episode it tries, gets a score, and updates what it believes about every square.
Lab · Generator against discriminator
Two networks, one trying to fool the other
The white curve is real data. The orange curve is what the generator makes. Each round the discriminator tries to tell them apart and the generator adjusts.
Lab · Agent with approval
Watch an agent work, and decide where it must stop
Task: check whether a dataset supports a straight-line model. The agent plans, calls tools one at a time, and has to ask before it writes anything down.
Students
What a semester looks like
- 1ProfileStream, year and background.
- 2AssessmentA short check of what the student already knows.
- 3Course pathThe syllabus, paced to the result.
- 4ClassroomThe course map and where the student stands.
- 5Self-learning spaceTopics, labs and checkpoints.
- 6Guided projectsAssignments and capstones, marked by faculty.
Faculty
Build, teach, assess and close.
Faculty set up the course, run it, and mark project work against a rubric. Marks and feedback go straight back to the student's Guided projects.
- Slides, video lectures and reference material in one place
- Assignments and capstones issued by stream
- Marking with a shared rubric
Marking · Guided project
Kabir S. · Civil Engineering
Estimating concrete strength from mix data
Deans and heads of department
One course, running across departments
- Choose the coursesMatched to the syllabus each department already follows.
- Enrol by streamEach student's stream sets their case studies and projects.
- Run the semesterFaculty teach and mark. Students work at their own pace between classes.
- Review the cohortProgress and project marks, by stream.
Sample view · Introduction to AI · Course completed
Quick answers
Which streams are covered?
Mechanical, Computer and Civil Engineering, Finance and Accounting, General Medicine and Dentistry.
Do all students get the same project?
No. Every student studies the same theory. The case study and guided project come from their own stream.
Who marks the project work?
Faculty, using a shared rubric. Feedback returns to the student's Guided projects.
Is there an assessment at the start?
Yes. A short check of what the student already knows sets the pace of their course path.
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For corporates · By industry and workflow
For corporates · By industry and workflow
AI training written for your industry, your roles and your workflows.
Pick an industry and a role. The courses, cases and exercises on this page change to match.
Industry
Role
The courses
Courses for
Skills assessment
Five questions set the course.
Every employee starts with a short check on AI itself. The result decides what they skip, what they study and where they go deeper.
Course path
From AI Agents for Operations
An agent does the legwork. A person signs.
L&D and leadership
From request to running cohort
Programme request
DraftWith leadershipApprovedRunning
Sample view · Completion by team
After the courseQuestions become a shortlistWhat teams ask and discuss during training shows where AI could help first.
ThenA pilot is scopedOne workflow, one team, with the data needed and a sign-off owner.
ThenLeadership sees the resultWhat changed, measured against how the work was done before.
Quick answers
Which industries can we start with?
Wealth management and manufacturing. More industries are launching soon.
Is the content the same for every company?
No. Cases and exercises are rewritten around each company's own workflows.
Does everyone take the same course?
No. A skills assessment sets the depth, and the role sets the kind of exercise: drills for new joiners, pilots for managers, decisions for leaders.
Who delivers the training?
SkillNova trainers, alongside self-paced lessons on the platform.
See it with your own syllabus.
Write to us with your board and classes, your streams, or your industry. We will set up a demo that opens on the course you would actually teach.
skill-nova.com