CLASS 10Intermediate LEVEL

Deep Learning & Generative AI

A hands-on course covering practical Deep Learning and applied Generative AI for Class 10 students. Learners build an image classifier using pretrained models, apply advanced prompting techniques, and use GenAI APIs to build simple functional tools — bridging theory with real application.

Duration

10 Days

Total Hrs

22 Hours

Level

Intermediate

What You'll Get

Expert Trainer-Led Sessions
Training Slides & Learning Materials
Practical Assignments
Assessment & Progress Report
Course Completion Certificate

Methodology

Instructor-Led Training
Practical Hands-on Sessions
Live Demonstrations
Mini Assignments & Assessments
Project-Based Learning

Detailed Syllabus

Practical, engaging and concept-based learning

1

Deep Learning Architectures

Topics Covered

Neural network architecture in depth
Activation functions
Introduction to CNNs (image recognition)
Introduction to RNNs (sequence data)

Practical / Activities

Explore CNN/RNN visual demos using an online tool

Outcomes

Understand CNN and RNN fundamentals conceptually

2

Working with Pretrained Models

Topics Covered

Ready to start?

₹499

One-time Enrollment Fee

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Course Snapshot

Course Code
LEQ-C10-DL-GENAI
Grade Level
Class 10

Prerequisites

Basic Python programming knowledge recommended

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What is transfer learning? (concept)
Using pretrained image classification models
Testing model predictions

Practical / Activities

Build a simple image classifier using a pretrained model (Teachable Machine / Keras)

Outcomes

Use pretrained deep learning models
Test and evaluate model predictions

3

Advanced Prompt Engineering

Topics Covered

Chain-of-thought prompting
Prompt templates for different tasks
AI hallucinations and fact-checking

Practical / Activities

Apply chain-of-thought prompting to a multi-step problem

Outcomes

Apply advanced prompting techniques
Fact-check AI-generated content

4

Building with GenAI APIs

Topics Covered

Introduction to GenAI APIs (text and image generation)
Building a simple content generator tool

Practical / Activities

Build an AI-powered content generator tool using an API

Outcomes

Build functional GenAI-powered mini-applications

Class 9 DL/GenAI course recommended

Objectives

Understand CNN and RNN fundamentals
Use pretrained deep learning models for image classification
Apply advanced prompt engineering techniques
Build simple GenAI-powered tools using APIs