LIVE • BEGINNER-FRIENDLY • BUILD ALONG

Get AI-Ready

Move from AI awareness to working AI applications in an interactive webinar. Build a text-generation AI Learning Assistant and an AI Image Generator using Python and approachable tools.

AI & GenAIPythonPromptsLLMs Google GenAIGradioImage Generation

10Session Day(s)

15hLive Learning

2AI Apps

AIHands-on

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LIVE • PRACTICAL • BEGINNER-FRIENDLY

Go from “I use AI” to “I can build with AI”

This is not a lecture-only session. Students follow the instructor step-by-step, try their own inputs, and build alongside the live demo.

✦

Learn

Understand AI, Generative AI, LLMs and prompts through simple everyday examples.

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Build

Use Python, prompts and ready AI models to create two working AI applications.

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Test

Try different topics, student levels and image prompts to see how AI responds.

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Showcase

Finish with two interactive AI apps you can demonstrate and explain confidently.

LIVE PROJECT

Build AI-Powered Applications

Build an AI Learning Assistant that creates explanations, key points, MCQs, answers and revision notes — plus an AI Image Generator that turns natural-language prompts into images.

Prompt→AI Model→Output→Gradio App

Tools: Python • Google Colab • Google GenAI • Gradio • Diffusers • PyTorch

MeritNext AI Apps

AI Learning AssistantText Generation

TOPICPhotosynthesis

STUDENT LEVELClass 10

DIFFICULTYMedium

AI RESPONSE Lesson Ready ✓ Explanation • Key Points • MCQs • Revision Notes

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AI Image GeneratorImage Generation

IMAGE PROMPTA futuristic smart city at sunset...

AI IMAGE READY

WHAT YOU’LL BUILD

Two AI apps. One beginner-friendly webinar.

The webinar is designed as a build-along, not a lecture. Students see the input, understand the Python, call an AI model, and turn the result into a usable interface.

AI Learning Assistant

Enter a topic, student level and difficulty. Generate an explanation, key points, MCQs, answers and revision notes.

Topic→Prompt→LLM→Lesson

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AI Image Generator

Describe an image in natural language and use a pre-trained image model to generate the visual from the prompt.

Prompt→Pipeline→Model→Image

WORKSHOP FLOW

Learn → Build → Test

Students move from everyday AI examples to Python basics and then to two working AI applications.

01AI in daily lifeRecommendations, navigation, spam filters, chatbots

02AI terms made simpleAI, ML, GenAI, LLM, prompt, model

03Python warm-upVariables, functions, imports, methods, packages

04Build text generation appGoogle GenAI + Gradio

05Build image generation appDiffusers + PyTorch + Gradio