Generative AI for Beginners
Module 1: Introduction to Artificial Intelligence
Hello and welcome. Imagine a calculator that doesn’t just add and subtract — but learns, understands what you type, recognizes what’s in a photo, or even predicts the weather. That, in simple terms, is artificial intelligence, or AI.
AI is technology that helps computers take on tasks we normally rely on human intelligence for: learning, reasoning, understanding, and making decisions.
You already use it more often than you think: when your phone translates a phrase, when your camera detects a smile, or when spell check suggests a better word.
But let’s be clear: AI is not a person. It doesn’t have emotions or intentions. It’s a tool — an invisible assistant that helps with tasks like reading, writing, or analyzing information.
A short history of AI
AI didn’t start with smartphones. It’s been around for decades. Early versions were simple programs — like those that played chess or solved equations. Over time, AI learned to improve itself through experience.
Today, it powers voice assistants like Siri, Alexa, and Google Assistant; robots that move around the house; cars that detect obstacles; and medical systems that help doctors diagnose diseases. AI has moved from the lab into everyday life.
AI in daily life
Even if you don’t notice it, AI is everywhere. It’s behind Netflix recommendations, Google Maps calculating the fastest route, and your phone’s autocorrect. It’s in smartwatches that monitor your health and apps that translate in real time.
In short: AI is already part of your daily life. You may not see it, but it’s always there — quietly making things easier.
Now that you understand what AI is and how it’s already shaping our world, let’s take the next step and discover what makes it truly unique: generative AI.
Module 2: What is Generative AI?
Traditional AI vs. Generative AI
Traditional AI works like a detective: it reviews existing information and applies rules to make predictions. Think of an email filter that catches spam or a weather app that forecasts rain.
Generative AI, on the other hand, works like a creator. It learns from countless examples and then produces something original: a story, an illustration, a piece of music, or even a video.
Types of generation
Generative AI usually works in four main areas:
- Text: writing stories, essays, emails, or even programming code.
- Images: creating illustrations or photos from a description.
- Audio: composing music or generating realistic voices.
- Video: producing animated clips or short films.
In each case, the AI isn’t copying — it’s combining what it has learned to create something unique.
Practical applications today
Generative AI is already part of many industries. Designers use it to create logos, educators use it to explain complex topics, doctors use it to simulate images, and the entertainment world uses it for music and visual effects.
Some popular tools include ChatGPT (text), Midjourney (images), and other platforms for audio and video. Many of these are free or available on your phone.
In short: traditional AI analyzes; generative AI creates. And that’s where its real power lies.
What is RAG and its advantages?
What if your AI assistant didn’t just “guess” the answer — but actually looked it up in real documents first?
That’s what RAG does. RAG stands for Retrieval-Augmented Generation. Here’s how it works:
- You ask a question.
- The AI searches trusted sources, like your files, manuals, or reports.
- Then it generates an answer using the facts it found.
Think of it as a super-smart research assistant: it doesn’t rely only on memory; it goes to the source, reads what matters, and then explains it clearly.
Why is this important?
- Answers are more accurate.
- It can use your own documents and policies.
- It avoids “making things up,” a common issue in AI.
- When information changes, you just update the documents — no retraining needed.
That’s why RAG is so useful in areas like customer service, HR, tech support, or legal work — anywhere accuracy matters.
Module 3: Getting Started with Querix
Welcome back. Now that you know what generative AI is, let’s see how to start using Querix.
Querix is more than a chatbot — it’s a platform for creating digital assistants that actually do things for you.
At work, agents can schedule meetings, draft reports, and analyze data. At home, they can plan vacations, manage finances, or even coordinate medical appointments.
These agents can work together, like teammates: one tracks your budget, another plans a trip that fits it perfectly. This isn’t the future — it’s already here.
We’ll go through three practical steps: signing up safely, exploring the interface, and getting started.
Signing up and logging in safely
Start by going to the official website: https://querix.chat/. Click “Sign up” and register with your email, Google, or Apple account.Use a strong password with letters, numbers, and symbols.
Then confirm your email, and you’re ready. Always log in from the official site or app. Double-check the name before downloading anything, and never share your password.
Exploring the interface
When you open the web version, you’ll see:
- A sidebar with your chat history.
- A button to start a new conversation.
- A central box where you type your questions, just like a normal chat.
It’s designed to be simple and intuitive.
Module 4: Basic Interaction with Querix
Now that you can log in, let’s learn how to chat effectively with Querix.
We’ll cover three things: the kinds of questions you can ask, how to phrase them, and some best practices with examples.
Types of questions
You can ask almost anything: from “What’s the capital of France?” to “Give me an easy chocolate cake recipe.”
It also works well for explanations (“Explain climate change in simple words”) and for creative ideas (“Write me a joke about cats”).
The key: keep your questions clear and respectful.
How to write effective prompts
A prompt is simply the instruction you give the AI. The clearer your prompt, the better the answer.
Instead of “Tell me about dogs,” try:
“Give me three small dog breeds that are good for apartments, and explain why.”
You can add details too: “Explain in Spanish, with examples for kids.” If you don’t like the answer, ask for an improved version.
Think of Querix as an assistant — you need to guide it with clear instructions.
Best practices and examples
Always review the answers before using them. AI can make mistakes or invent details.
Save useful chats, and begin with simple tasks. For example:
- Prompt: “Write a short email asking my boss for vacation time.”
Result: A draft you can personalize.
- Prompt: “Correct this sentence: The cat is in the house.”
Result: A corrected version
Remember: AI is a support tool, not a substitute for your own judgment.
Module 5: Creative and Useful Text Generation
Now let’s explore how Querix can help you write faster and better.
We’ll focus on three uses: writing emails, translating and proofreading, and generating ideas for school, work, or personal projects.
Writing emails, letters, and summaries
Querix can draft all kinds of text:
- A professional email requesting a meeting.
- A recommendation letter for a friend.
- A summary of a long article.
The key is to provide enough detail so the text feels personal. And always review before sending.
Translation and text correction
Querix also handles translations:
- “Translate this into English: Hola, ¿cómo estás?”
- “Translate this paragraph into French with a formal tone.”
For corrections, try:
- “Correct this sentence: I goes to the store yesterday.”
It fixes grammar and suggests improvements — handy for emails, reports, or essays.
Ideas for school, work, or personal life
Querix is also a great idea generator:
- For school: “Give me essay ideas on the history of the internet.”
- For work: “Suggest sales presentation ideas for a new product.”
- For personal life: “Create a beginner-friendly weekly workout plan.”
Use its suggestions as a starting point, then add your personal touch.
Querix and its Actions: Instant Automation
Module 6: Generating Images with AI: First Steps
If you’ve ever wanted to design without artistic skills, this module is for you. AI can create images from just a few words.
We’ll cover how it works, which tools to try, and a step-by-step example.
What it is and how it works
Image-generating AI takes a description (a “prompt”) and creates an original picture. It doesn’t copy — it blends what it has learned from millions of examples.
Example: Type “An enchanted forest at sunset,” and it will generate a unique illustration of that scene.
Recommended tools
- DALL·E, (built into ChatGPT Plus) — great for creative prompts.
- Canva Magic Studio— combines AI images with design templates.
- Bing Image Creator— free and easy to use with a Microsoft account.
Practical example (using Bing Image Creator):
- Go to bing.com/create and log in.
- Type: “A dog playing on the beach, cartoon style.”
- Click “Generate” and wait a few seconds.
- Choose your favorite image and download it.
Not happy with the result? Refine your prompt with more detail — e.g., “in watercolor style” or “with bright colors.”
Module 7: Ethics, Safety, and the Limits of AI
Ethical considerations
Ethics means using AI to help, not harm. For example, avoid generating fake news, offensive content, or misleading material. If you use AI for work or a project, credit the source and don’t present it as solely your own creation.
Also keep in mind that AI models can reflect biases from the data they were trained on. That’s why it’s important to review results critically.
Privacy and data safety
When using AI, only share what’s necessary. Never enter sensitive data like credit card numbers, addresses, or personal information.
Stick to official platforms, enable safety features like two-factor authentication, and review the permissions you grant apps—not all access is necessary.
Misuse and common mistakes
One common mistake is believing everything AI says. Remember: it can make things up. Always check reliable sources, especially on important topics like health, money, or law.
Another risk is misuse, like deepfakes or deceptive content. Avoid these completely.
In summary, AI is an ally if we use it well—with ethics, protecting our privacy, and verifying information. Now that you know this, let’s move on to the final module, where we’ll see how to apply everything in your daily life.
Module 8: Applying AI in Daily Life
Learning independently
There are plenty of free resources to keep learning:
- Basic courses like Elements of AI.
- YouTube tutorials on prompts.
- Communities on forums and social media where you can share questions.
A good habit is to dedicate 10 minutes a day to practicing with AI. Set small goals, like “learn one new prompt each week.” Remember: with AI, you can always keep learning and even ask it to guide you on new topics.
Spotting repetitive tasks
AI is especially helpful with routines. You can ask it to:
- “Organize my week into a simple schedule.”
- “Draft an email requesting information.”
- “Suggest a budget plan for a beach trip.”
If a task repeats and takes time, try using AI.
Deciding when to use it—and when not to
AI is great for speeding up creative or informative tasks. But some things require human judgment — like sensitive medical, legal, or emotional conversations.
Use AI as a complement, not a replacement.
In conclusion: keep learning, use AI for repetitive tasks, and recognize its limits. With this balance, AI becomes a tool that makes life easier, not more complicated.