📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI and Robotics Teaching Certification for Class 9-10 Teachers, from foundations to a certified capstone project.
Pedagogy
• Age-appropriate concept sequencing and common misconceptions at this stage
• Concrete-to-abstract progression using physical robotics before code
• Managing mixed prior experience within one classroom
Concepts
• Pattern recognition, training data and prediction explained through activities
• Unplugged activities that teach algorithmic thinking without a computer
• Bias and fairness introduced through examples students recognise
Robotics
• Microcontroller and sensor basics on affordable, repairable kits
• Block-based programming and structured transition toward text
• Debugging as a taught skill rather than an obstacle
Projects
• Scaffolded project briefs with achievable scope in school timetables
• Group work structures that prevent one student doing everything
• Low-cost and offline-capable project options for constrained schools
Assessment
• Rubrics for process and reasoning, not just a working artefact
• Mapping to national curriculum outcomes at this stage
• Safeguarding and acceptable-use guidance for student AI tool use
Earn government-registered certification in AI and Robotics Teaching Certification for Class 9-10 Teachers
e-Certificate and e-Marksheet issued on successful completion.
