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Foundation Course on Generative AI

(Aligned to AI 101 – Foundational Course, NSQF referenced) A beginner-friendly program that builds strong AI fundamentals for future-ready learners.

Leval: Foundational / Senior Secondary (Grades 9–12)

  • 5K+ Registered Students
  • 50+ Hands-on Projects
  • 30+ Live Sessions
Overview
Curriculam
Testimonial
FAQ

Program Overview

  • AI 101 Aligned Foundational Curriculum

    A clear and structured Generative AI curriculum aligned with national guidelines. Students learn AI basics, Generative AI concepts, and real-world applications in a step-by-step manner.

  • Expert-Led & Blended Learning

    Live sessions led by AI trainers help students understand concepts easily. Self-paced LMS modules, tool demos, quizzes, and practice tasks support learning and revision.

  • Hands-On & Project-Based Learning

    Learners complete practical, no-code activities in every phase. They work on prompting tasks, simple AI workflows, posters, case studies, and guided projects. The program ends with a capstone project to show their learning.

  • 21st Century Skills Development

    Students build essential skills for the future—critical thinking, creativity, digital literacy, communication, and teamwork. They also learn responsible and ethical AI usage for everyday life.

  • Demonstration-Based Learning

    Students learn through live demonstrations where trainers show how AI tools work, making concepts clear and easy to follow.

  • Project-Based Learning (PBL)

    Each phase ends with practical tasks and projects. Students apply prompting, create outputs, and build simple AI-driven solutions.

  • Personalized & Guided Support

    Small-group discussions, feedback sessions, and LMS support help every learner progress at their own pace.

  • Visual & Interactive Teaching Aids

    Videos, screen walkthroughs, tool demos, and examples simplify AI ideas and help learners understand quickly.

  • Contextual & Real-Life Scenarios

    Generative AI concepts are explained using everyday situations, showing students how AI is used in studies, work, and daily life.

  • Collaborative & Creative Exploration

    Group activities, peer reviews, and teamwork tasks encourage creativity, problem-solving, and shared learning experiences.

Our Methodology

  • Flexible Phase-wise structure with multiple exit options
  • Credits-based learning (0.25 / 1 / 2) depending on stage completed
  • Blended learning mode – Online live + LMS
  • Hands-on practice with projects and activities
  • No prior programming or coding required
  • Industry expert sessions + asynchronous LMS support
  • Assessments, quizzes, and real-world project work

Goals that we achieve through the program

AI Foundation

  • Build a strong base in Artificial Intelligence
  • Understand AI evolution, types, and real-life uses
  • Learn how data powers AI systems
  • Gain clarity on ethical and responsible AI principles

Generative AI Skills & Creativity

  • Learn text, image, and multimodal prompting
  • Use AI tools for writing, designing, and research
  • Create posters, summaries, workflows, and simple automation
  • Boost creative thinking through hands-on AI tasks

Problem-Solving, Digital Literacy & Confidence

  • Develop critical thinking and logical reasoning
  • Apply AI tools in school work and daily activities
  • Build confidence through guided practice and projects
  • Improve communication and presentation skills

Our Curriculum

Module Objective Learning Outcomes Duration Tools
Module 1: Foundations of AI Introduce basics of AI and its evolution • Identify key AI milestones
• Differentiate between AI types (Narrow, General, Super)
• Understand learning approaches		 3 sessions Gemini, ChatGPT, Canva, YouTube
Module 2: AI Data, Ethics & Applications Understand importance of data and ethical issues • Explain role of data in AI
• Recognize ethical concerns and risks
• Analyze AI’s impact on jobs
• Identify AI applications in daily life		 5 sessions Gemini, ChatGPT, Canva, Google Sheets
Module Objective Learning Outcomes Duration Tools
Module 3: Generative AI Basics Introduce learners to Generative AI and prompting • Define Generative AI
• Use text generation tools
• Create basic visuals with AI
• Practice simple prompts		 4 sessions Gemini, YouTube, ChatGPT, Canva
Module 4: Everyday Use of GenAI Apply Generative AI to local languages and daily needs • Use AI in local languages
• Apply AI in daily tasks
• Create advanced prompts
• Practice applied use cases		 3 sessions Gemini, ChatGPT
Module 5: Challenges & Applications of AI Explore GenAI limitations and real-world applications • Identify limitations of Generative AI
• Analyze case studies
• Design posters & infographics with AI
• Apply multi-output prompts		 5 sessions Gemini, YouTube, ChatGPT
Module 6: Using AI Responsibly in Daily Life Highlight responsible use of AI in everyday life • Create AI-assisted workflows
• Collaborate with AI tools
• Practice responsible AI principles		 4 sessions Gemini, ChatGPT, Canva
Module 7: Mini Project Apply AI learning in a small project • Ideate project ideas
• Develop prototypes
• Test and refine outputs
• Present mini-project outcomes		 6 sessions Gemini, ChatGPT, Canva
Module Objective Learning Outcomes Duration Tools
Module 8-12: Advanced Application of AI (Modules 8–12: Multimodal AI, Advanced Prompting, AI in Everyday Life, Responsible AI, Capstone Project) Covers advanced skills, multimodal tools, collaboration, ethics & final project showcase 30 sessions Gemini, ChatGPT, DALL·E, Canva, Google Tools

Testimonials

Eamon is learning Coding with Ms.Sonam Bhagwani from last year. Eamon is enjoying and learning coding classes with her. She is a brilliant teacher.

Laxmi Koirala

Ireland

As parents, we are so thankful for STEMLearn! They’ve been such a support in helping my son gain a solid foundation in coding. It’s been amazing to see how it’s building his confidence in his computer literacy at school and developing his logical thinking.

Natalia

Hongkong

My name is Anina Anoop , I am 9 yr old from UAE. I started my coding classes from Anu Mam in July,2024.My classes are great , I have covered code.org , python ,and thunkable .It has been a great start learning to code, and i enjoy my classes .

Anina Anoop

Trinidad & Tobago

Zavi Jahoor has been a part of the STEMLearn.AI community for less than a year. He has grown tremendously over this time, interacting well with his tutor Ms Sadeya and becoming more adept with technology and cognitive reasoning as it pertains to the utilization of the computer and coding mechanisms. He looks forward to working with his tutor, with whom he has great rapport. I look forward to his continued guidance and excellent performance!

Joyann Ali-Jahoor

Trinidad & Tobago

Frequently Asked questions

The FAQ section provides quick answers to common questions, helping users find information easily and save time.

Do you have questions?

What types of class exercises are included in the Foundation Course?
Exercises include prompting tasks, text generation, poster creation, AI workflow tasks, and small real-life problem-solving activities.
Do students need prior coding knowledge to participate?
A recorded session will be available on the LMS so you can catch up anytime.
How long does each class exercise usually take?
Most exercises take 10–20 minutes and are completed during class with trainer guidance.
Will students work individually or in groups?
Both. Some tasks are individual, while others involve pair or group collaboration to build teamwork.

Do you have questions?

How can I get help if I face issues accessing the LMS or sessions?
You can reach out to our support team through email, WhatsApp, or the in-app helpdesk.
What should I do if I miss a live class?
A recorded session will be available on the LMS so you can catch up anytime.
How long does support take to reply to queries?
Most queries are addressed within 24 hours.
Can I request extra practice materials?
Yes. Additional worksheets, project ideas, and practice tasks can be provided on request.

Do you have questions?

How should teachers guide students during AI practical activities?
Teachers should monitor prompting tasks, encourage experimentation, and help students refine their outputs.
What resources are available for teachers?
Teachers receive session plans, activity guides, tool walkthroughs, and assessment rubrics.
How can teachers track student progress?
Progress can be monitored through LMS reports, activity submissions, quizzes, and project reviews.
Who should teachers contact for academic or technical issues?
Teachers can contact the academic coordinator or the support team for quick assistance.