LESSON 1: WEBSITE 

Watch the video

INTRO: The "Ultimate Google Sites Tutorial" serves as a comprehensive guide for individuals seeking to create a fully-featured website using Google Sites. This tutorial meticulously navigates through the platform's robust functionalities, empowering users to design and customize their websites with ease. From selecting templates to integrating multimedia elements, the tutorial emphasizes best practices for layout and design, ensuring a professional appearance.

Additionally, it highlights essential features such as collaboration tools, responsive design capabilities, and SEO optimization techniques. Whether for personal projects or business applications, this tutorial equips users with the knowledge to harness Google Sites effectively, transforming their online presence.

1. Accessing Google Sites

• Type "Google Sites" in google search. 

• Click 'Sites'

• You can chose from templates or start new by clicking on + sign

THEMES = CHOOSE YOUR THEME FOR THE ENTIRE SITE

3. Naming Your Brand

• Name my website = on left hand corner, you may even add your logo there

• use "namelix" to help you find a suitable name for your brand

4.  Setting Up Your Google Site

1. Navigation = choose your mode and color

2. Brand images = insert your logo here

3. Viewer = customize your viewer tools

4. Custom domains = you can connect your domain here

5. Analytics = Create analytics to see how your site is performing * create an account (check the video) Optional 

6. Announcement bar = create an announcement bar. 

5. Creating pages and sub pages: 

• To create New pages click on the + sign and name the page 

• To create a sub page click on the 3 dots and click add sub group

• You can create further sub groups on each sub group

6. To Create a FOOTER 

• Go to home page, take the cursor to the end of the end of the page and click on "Add Footer" 

• In the footer you may add company details: address, contact numbers, etc.

• The footer notes will appear on every page and sub page of the site. 

EXAM SUBMISSION

LESSON 2:  CREATING ID CARD

LESSON 3:  INTERNET OF THINGS (IoT)

LESSON 4: Top 50 Excel Formulas

LESSON 5: CREATE STUDENT'S REPORT CARD

 Lesson 6: Basics of Artificial Intelligence (AI)

Lesson: Basics of Artificial Intelligence (AI)

🧠 What is Artificial Intelligence?

Artificial Intelligence (AI) is the ability of a computer or machine to mimic the capabilities of the human mind. This includes learning from experience (machine learning), understanding language (natural language processing), recognizing patterns and images (computer vision), and making decisions.

🔍 Key Concepts in AI:

1. Machine Learning (ML):

ML is a subset of AI where computers learn from data and improve over time without being explicitly programmed. Example: A spam filter learning to identify junk emails.

2. Deep Learning:

A subset of machine learning that uses neural networks with many layers (hence "deep") to analyze data. Example: Facial recognition in photos.

3. Natural Language Processing (NLP):

NLP allows machines to understand, interpret, and respond to human language. Example: Chatbots and virtual assistants like Siri or ChatGPT.

4. Computer Vision:

This enables machines to interpret visual information from the world. Example: Self-driving cars recognizing traffic signs.

5. Robotics and Automation:

Robots powered by AI can perform tasks such as lifting, assembling, or even talking and walking.

6. AI in Daily Life:

AI is everywhere — from recommendations on YouTube and Netflix to smart home devices like Alexa and Google Assistant.

💡 Benefits of AI:

• Reduces human error

• Automates repetitive tasks

• Helps in decision-making

• Enhances user experiences (e.g., personal recommendations)

⚠️ Challenges of AI:

• Data privacy concerns

• Job displacement

• Bias in algorithms

Lesson 7: Introduction to Basic Coding 

What is Coding?

Coding (also called programming) is the process of writing instructions for a computer to perform specific tasks. These instructions are written in a programming language such as Python, JavaScript, or C.

Just like humans understand languages like English or Hindi, computers understand coding languages.

💻 Why is Coding Important?

• It powers everything from websites and mobile apps to traffic lights and ATMs.
  
  

• It improves logical thinking and problem-solving skills.
  
  

• Coding is essential for careers in software, data science, robotics, artificial intelligence, and more.
  
  

🧱 Basic Coding Concepts

1. Variables

Variables are used to store data.
Example in Python:

 name = "Tony"

age = 12

2. Data Types

• String (text): "Hello"
  
  

• Integer (whole number): 10
  
  

• Float (decimal): 3.14
  
  

• Boolean (true/false): True or False

3. Operators

Used to perform operations:

• + Addition
  
  

• - Subtraction
  
  

• * Multiplication
  
  

• / Division
  
  

4. Input and Output

name = input("Enter your name: ")

print("Hello", name)

5. Conditionals

To make decisions using if statements:

if age > 18:

    print("You are an adult.")

else:

    print("You are a minor.")

6. Loops

Used to repeat tasks:

for i in range(5):

    print("Coding is fun!")

Tools to Start Coding

• Online editors like Replit, Code.org, Scratch (for kids)
  
  

• Programming languages: Start with Python for its simplicity.
  
  

✅ Tips for Beginners

• Practice daily.
  
  

• Break big problems into smaller steps.
  
  

• Learn from mistakes (debugging is a part of coding!).

LESSON 8: AI BASED PROJECTS

AI Application Projects for Beginners

🎯 Lesson Objectives

By the end of this lesson, you will be able to:

• Understand what an AI application is.
  
  

• Identify key areas where beginners can apply AI.
  
  

• Explore simple AI projects suitable for beginners.
  
  

• Recognize tools and platforms used in beginner AI development.
  
  

🧠 What is an AI Application?

An AI application is any software or system that uses artificial intelligence techniques—like machine learning, computer vision, or natural language processing—to mimic human intelligence in solving problems, making predictions, or automating tasks.

💡 Why Start with AI Projects?

AI projects:

• Help you apply theoretical knowledge in a real-world context.
  
  

• Improve problem-solving skills.
  
  

• Are excellent for portfolios and job applications.
  
  

🧰 Tools for Beginners

Here are some popular tools beginners use to build AI applications:

Tool

Description

Python

Most common language for AI development

Scikit-learn

For basic machine learning models

TensorFlow/Keras

For deep learning projects

Google Colab

Free cloud-based coding environment with GPU

Teachable Machine

A no-code platform by Google for quick ML demos

🔍 AI Project Ideas for Beginners

1. Image Classifier

• Goal: Classify images (e.g., cats vs. dogs).
  
  

• Skills: Image datasets, CNN basics.
  
  

• Tools: TensorFlow/Keras, Google Colab.
  
  

2. Spam Email Detector

• Goal: Identify spam emails.
  
  

• Skills: NLP, data preprocessing.
  
  

• Tools: Scikit-learn, pandas, NLTK.
  
  

3. Movie Recommendation System

• Goal: Suggest movies based on user preferences.
  
  

• Skills: Collaborative filtering, similarity measures.
  
  

• Tools: Python, pandas, cosine similarity.
  
  

4. Chatbot

• Goal: Build a simple rule-based or ML-powered chatbot.
  
  

• Skills: NLP, flow design.
  
  

• Tools: ChatterBot, Python, Dialogflow.
  
  

5. Handwritten Digit Recognition

• Goal: Recognize digits (0–9) from images.
  
  

• Skills: Neural networks, image data.
  
  

• Tools: Keras, MNIST dataset.
  
  

🧪 Project Workflow

1. Choose a problem
   
   

2. Collect and prepare data
   
   

3. Build and train your model
   
   

4. Test and evaluate
   
   

5. Improve and deploy
   
   

✅ Best Practices

• Start small and focus on learning, not perfection.
  
  

• Use pre-cleaned datasets (e.g., from Kaggle).
  
  

• Document your work.
  
  

• Ask for feedback on forums like Stack Overflow or Reddit.
  
  

• Share your project on GitHub.