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AI Summer Skilling

This course provides high school students with a comprehensive introduction to Artificial Intelligence (AI), covering AI concepts, real-world applications, and career opportunities. It explores machine learning, deep learning, natural language processing (NLP), robotics, and AI ethics, along with the skills needed to build AI models and work in AI-related careers. You will also examine the impact of AI on industries such as healthcare, business, education, and entertainment while learning about the dos and don’ts of responsible AI development.

Course Instructor: Ahmad

FREE

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Course Overview

Through 8 weeks, you will:

1. Understand the basic concepts of AI.

2. Explore key AI workloads like document intelligence, knowledge mining, and generative AI.

3. Learn about supervised and unsupervised machine learning models, including regression, classification, and clustering.

4.Analyze the ethical challenge and risks of AI in society

5. Engage in creative problem-solving by designing simple AI-driven projects.

6. Develop critical thinking and gain foundational AI knowledge to explore advanced studies or careers in AI.

Schedule of Classes

Start Date & End Date

May 02 2025 - Aug 02 2025

Course Curriculum

8 Subjects

Week 1 AI 2025

2 Exercises9 Learning Materials

Introduction to Mentor and Course details

Introduction to Artificial Intelligence (AI) course

Video
00:05:24

Case Studies using AI in real life

Case Studies using AI in real life situations

Video
00:02:32

What is AI?

What is AI?

Video
00:04:31

Understanding different types of AI

Machine Learning

Video
00:03:43

Computer Vision

Video
00:03:34

Natural Language Processing (NLP)

Video
00:01:55

Document Intelligence & Knowledge Mining

Video
00:01:40

Generative AI

Video
00:00:57

Week 2 AI 2025

2 Exercises7 Learning Materials

Recap and Introduction to Machine learning

Introduction to Machine Learning

Video
00:03:04

What is Machine learning

What is Machine Learning

Video
00:03:20

Types of Machine learning

Supervised Machine Learning

Video
00:02:07

Unsupervised Machine Learning

Video
00:02:24

Deep learning

Video
00:01:21

Week 3 AI 2025

2 Exercises5 Learning Materials

Introduction to Computer vision

Introduction to Computer Vision

Video
00:02:35

Computer vision and Pixels

Computer Vision and Pixels

Video
00:04:50

Machine Learning for Computer vision

Machine Learning for Computer Vision

Video
00:06:08

Computer vision real life examples

Computer Vision Real life examples

Video
00:10:20

Week 4 AI 2025

2 Exercises4 Learning Materials

Introduction to Natural Language Processing (NLP)

Introduction to Natural Language Processing (NLP ) and AI

Video
00:02:41

AI and NLP methods

NLP using Artificial Intelligence

Video
00:02:43

Machine Learning for NLP

Machine Learning for NLP

Video
00:02:17

Week 5 AI 2025

2 Exercises5 Learning Materials

Generative AI and Robotics

Generative AI

Video
00:05:26

The Power of LLMs

The ChatGPT era!!

Video
00:02:13

The Power of LLMs

Video
00:02:13

AI and Robotics

AI and Robotics

Video
00:02:11

Week 6 AI 2025

2 Exercises6 Learning Materials

The Art of Prompt Engineering

Introducing Prompt Engineering

Video
00:04:37

Understanding Prompt Engineering

Video
00:03:47

Designing Better prompts

Designing Better prompts

Video
00:01:02

Strategies to make better prompts

Video
00:03:46

Week 7 AI 2025

2 Exercises3 Learning Materials

AI and Future

The AI Hype

Video
00:05:24

The impact of AI

Impact of AI on work

Video
00:06:58

The reality behind the AI hype

Video
00:03:14

Week 8 AI 2025

1 Exercises6 Learning Materials

Project work in AI

Reflecting on AI Learning Journey

Video
00:02:41

Case Studies AI Mini Projects

Project 1 Obese or Normal Teachable machine

Video
00:00:29

Project 2 Traffic analysis Machine Learning

Video
00:02:02

Project 3 Exploring AI Models for Skin Conditions

Video
00:01:34

Project 4 Exploring Custom GPT Projects

Video
00:01:38

Project 5 Enhancing Essays with AI Tools

Video
00:02:08

Course Instructor

tutor image

Ahmad

35 Courses   •   119 Students