DeepSeek Course: Learn DeepSeek R1, Build Apps, GenAi, LLM

How to Create an Account on DeepSeek

Welcome to this lecture. In this video, I’ll show you how to create an account on DeepSeek in just a few simple steps.

First, go to DeepSeek and click on the "Start" button. You’ll then see an option to sign up using your email or phone number. I’ll be using a demo Gmail account for this tutorial, but you can use any valid email or phone number.

Once you enter your details, select your account and click "Continue." That’s it—your account is now set up, and you’re ready to use DeepSeek.

If you have any questions, feel free to ask in the Q&A section. I’ll try to respond as soon as possible. Thanks for watching, and I’ll see you in the next lecture.

Welcome to this video! Today, I’ll show you how to use DeepSeek effectively in different areas of life, from education and personal growth to business and software development.

DeepSeek for Education

Students can use DeepSeek to prepare for exams, solve math and science problems, and plan their education abroad. It also helps with career counseling and motivation.

DeepSeek for Personal Life

DeepSeek can assist with meal and fitness planning, travel ideas, storytelling, and content creation. It’s a great tool for improving creativity and organization.

DeepSeek for Business

Businesses can use DeepSeek for market research, competitor analysis, customer feedback, and marketing strategies. It also helps with job interview preparation and career growth.

DeepSeek for Developers

Developers can boost productivity by using DeepSeek for game ideas, software planning, website and app development, and AI-powered automation. It saves time and enhances efficiency.

Advanced Uses of DeepSeek

DeepSeek can help with in-depth company research, audits, AI model creation, and advanced data analytics. It’s a powerful tool for generating insights and solutions.

Conclusion

I hope this video gave you new ideas on how to use DeepSeek. If you have any questions, drop them in the comments, and I’ll get back to you as soon as possible. Thanks for watching, and see you in the next one!

Welcome to this video on DeepSeek. In this class, we'll chat about the strengths and weaknesses of DeepSeek, focusing on its unique features and how they might work for you.

One of the coolest feature is DeepThink R1 model. When you activate this model and feed it data through a prompt, DeepSeek processes your input to solve problems or answer questions. For example, if you ask, "What is Janus Pro?" you'll see how DeepSeek works through its thought process to come up with a response based on the information you provided.

While DeepSeek excels at analyzing text and extracting it from images, it currently doesn't generate images. If generating images is something you need, consider trying out the DeepSeek Janus Pro model. This model not only extracts text from images but also has image generation capabilities. Although some other AI tools offer this feature, DeepSeek may enhance its image generation capabilities in the future.

The video also touches on pricing and model options. I'm not here to push you into buying anything-just sharing what's available so you can explore these APIs and models for yourself and see which one fits your needs best.

Thank you for watching. If you have any questions or need more information, feel free to ask in the Q&A section. I'll do my best to respond quickly and help you out. Enjoy the video, and I look forward to sharing more insights with you soon.

Build a Calculator App with DeepSeek

Welcome to this lesson! In this video, we will create our first project using DeepSeek—an interactive calculator application. By the end of this session, you will have a fully functional calculator built with HTML, CSS, and JavaScript. This project will help you understand how to generate and refine code using AI-powered tools.

Getting Started with DeepSeek

To begin, download the prompt file from the resources section. This file contains the necessary instructions to guide the AI in generating the calculator’s code. Copy the provided prompt and paste it into DeepSeek to start the coding process. Ensure that the DeepThink R1 model is enabled before proceeding.

Generating the Calculator Code

Once the prompt is entered, DeepSeek will generate a single-file calculator application. Click Run HTML to preview the initial version of your calculator. You can test its functionality by performing calculations like:

• 6 - 82 × 6

• 100 - 90%

The percentage feature is an important part of this project, so verify that it functions correctly.

Improving the UI Design

If you are not satisfied with the default user interface, you can refine it further. To get UI inspiration:

1. Find a design reference that you like.

   
   

2. Copy the image and paste it into ChatGPT with the prompt: Explain this UI design and generate an improved prompt.

3. Copy the new prompt and provide it to DeepSeek for UI enhancements.

DeepSeek will then suggest UI improvements, allowing you to refine the calculator’s appearance.

Testing and Refining the Code

Once the updated code is ready, you can:

1. Copy and paste it into CodeViewIt website for a full-screen preview.

2. If you prefer a 3D-style UI, instruct DeepSeek to make the necessary modifications.

3. Compare the updated version with the original to ensure no essential features were altered.

Saving and Running the Calculator Locally

To save the final version of your calculator on your computer:

1. Open Notepad (or any text editor).

2. Copy and paste the generated code.

3. Save the file as calculator.html.

4. Open the file in a web browser to run your calculator locally.

Expanding the Project

This basic calculator is just the beginning. You can enhance its functionality by refining the AI prompts and adding features such as:

• Scientific calculations

• History tracking for previous calculations

• Dark and light theme switching

  
  

This tutorial demonstrated how to build a fully functional calculator using DeepSeek without any prior coding or UI design experience. If you have any questions, feel free to ask in the Q&A section, and I will respond as soon as possible.

Thank you for watching, and see you in the next lesson!

Welcome to this video lesson, where you’ll learn how to create a simple Software as a Service (SaaS) application without writing any code. In this tutorial, we will use DeepSeek to build an image conversion tool that transforms JPEG files into WebP format. This method is perfect for beginners who want to explore software development without coding experience.

In this lesson, we will use DeepSeek’s DeepThink R1 model to generate the necessary code for an image conversion tool. This tool will include key features such as JPEG to WebP conversion, compression control, batch processing, a user-friendly dark theme interface, and a settings panel for adjusting compression levels and selecting output directories.

Before running the generated code, ensure that Python is installed on your system. You can download it from the official Python website. Once installed, copy the generated Python script, save it as webpconverter.py, and open the command prompt. Install the required libraries using the provided installation commands and execute the script using either the command prompt or Visual Studio Code.

Once the script runs, you will have a functional image conversion tool. To use it, select an image file, adjust the compression level, set the output directory, and click the convert button. The progress bar will indicate when the conversion is complete.

While this lesson covers the basics, there are ways to improve the application. The UI design can be refined with a more modern look. Additional file formats such as PNG and PDF can be supported. You can also integrate cloud storage for easier file access.

By the end of this lesson, you will have successfully created a basic SaaS application without writing any code. This is just the starting point. You can build similar tools, such as JPEG to PNG converters, PNG to PDF tools, or PDF compressors.

If you have any questions, feel free to ask in the Q&A section. I’ll do my best to respond as soon as possible. Thank you for watching, and I’ll see you in the next video

Welcome to this exciting Lesson from Deepseek Course, on game design using DeepSeek! In this lesson, we will walk through the entire process of creating a puzzle game where a duck navigates through a maze-like pond to find its way out. You’ll learn how to use DeepSeek to generate game code efficiently while ensuring a smooth development experience.

Setting Up Your Game Design

To get started, we will input a prompt into DeepSeek that instructs the AI to create a puzzle game using HTML, CSS, and JavaScript. The goal is to keep the entire code within a single file for simplicity. Additionally, we will ensure that the DeepThink R1 model is enabled to enhance the output.

Once the AI generates the code, we will test the game by running the HTML file. This step ensures that the fundamental mechanics work correctly.

Enhancing the Game’s UI and Design

While the game may function well, the default UI design might not meet our expectations. To improve the aesthetics, we can prompt DeepSeek to implement modern design elements such as:

• A rich gradient background featuring deep purple and crimson stones

• 3D perspective effects on the maze

• Gold metallic walls for an immersive experience

• A glassmorphism container with a stylish backdrop pillar

After making these enhancements, we will test the new design to ensure it aligns with modern game design principles.

Adding Multiple Levels to the Game

To make the game more engaging, we will introduce multiple levels. After completing the first level, players should be able to seamlessly transition to the next one without encountering errors. If any issues arise, we will modify the DeepSeek prompt to troubleshoot and refine the code.

Through testing, we will verify that level progression functions correctly and that any missing visual effects—such as the 3D design—are restored.

Finalizing and Running the Game

Once all improvements are implemented, we will copy the final code and run it in full-screen mode to check for any inconsistencies. We will then save the game as a local HTML file, ensuring it operates smoothly on different devices.

Develop Games Without Coding Knowledge

This course demonstrates how you can leverage DeepSeek to design and develop games without prior coding experience. By following these step-by-step instructions, you will gain hands-on experience in game development while learning to refine AI-generated code for optimal results.

Join the Discussion

If you have any questions or need further clarification, feel free to ask in the Q&A section. I’ll be happy to respond and assist you as quickly as possible. Thank you for joining this course, and I look forward to seeing you in the next lesson!

In this video, we will show you how to create an interactive map using Python and Google Colab. This project will display the top 20 most visited cities in the world and show their rank and number of visitors.

What We Will Do

We will use DeepSeek to analyze and visualize location data. The goal is to plot the most visited cities on a map where clicking on a city will show its name, rank, and visitor count. We will use Google Colab, which allows us to run Python code online without installing anything on your computer.

Getting Started

To start, you can find the prompt file in the video description. Copy and paste the prompt into DeepSeek to generate the code for this project. If you are new to coding, don’t worry! We will explain everything step by step.

Running the Code in Google Colab

1. Open Google Colab: If you don’t have it yet, go to Google Drive, right-click, select “More,” and connect Google Colab.

2. Copy and Paste the Code: Open a new Colab notebook and paste the code.

3. Run the Code: Click the run button to install the necessary libraries and generate the interactive map.

4. Check the Map: Once it loads, you can explore the most visited cities. For example, Bangkok is ranked first with 22 million visitors.

Improving the Map

• To make the map easier to understand, we will color-code the markers:

• Ranks 1-5: Red

• Ranks 6-10: Blue

• Ranks 11-15: Green

• Ranks 16-20: Purple

• A legend will appear in the lower-right corner to explain the colors.

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Customizing the Look

• We will also change the design to make the map look better by using:

• A black and gold theme

• Gold 3D effect location markers

• Shadow effects for depth

After making these changes, we will run the code again in Google Colab to see the updated version.

Running the Project on Your Computer

So far, we have been running the project online. To run it on your own computer, you will need to install Python and some libraries like Pandas and Folium. In the next video, we will show you how to do this.

Summary

This project helps you learn how to visualize data using Python. Follow along to get hands-on experience in coding and map creation. If you have any questions, ask in the comments. Thanks for watching, and see you in the next video!

In this video, you will learn how to set up and run a  project on your computer using Microsoft Visual Studio Code or Jupyter Notebook. This step-by-step guide will help you install the necessary tools and execute your Python scripts without relying on online platforms like Google Colab.

Installing Python on Your Computer

To begin, you need to install Python on your system. Open your web browser, search for "Python download," and visit the official Python website. Choose the version that matches your operating system—Windows, macOS, or Linux—and download the latest version. Once the download is complete, open the installer and follow the on-screen instructions to install Python on your computer.

Setting Up Microsoft Visual Studio Code

For coding and running Python scripts, you can use Microsoft Visual Studio Code or Jupyter Notebook. In this tutorial, we will focus on Visual Studio Code.

Search for Microsoft Visual Studio Code Download on Google and visit the official site.

Download the installer for your operating system.

Run the installer, accept the terms and conditions, and complete the installation.

Make sure to create a desktop shortcut for easy access.

Once installed, do not launch the program yet. We will first set up the project.

Downloading the Python Project from Google Colab

If you have been working on Google Colab, you need to download your project to run it locally.

Open Google Colab and locate your project.

Click on File > Download and select the .ipynb format.

Locate the downloaded file on your computer and double-click it to open in Visual Studio Code.

Running the Python Project Locally

Now that the project is set up, follow these steps to run your Python code:

Open Microsoft Visual Studio Code.

Open the downloaded .ipynb file.

Install the required Python libraries by running the provided setup commands.

Click the Run button to execute the code.

Once the setup is complete, you should see your project running on your local system, just like it did on Google Colab.

Summary

This tutorial covers the essential steps for setting up Python, installing Visual Studio Code, and running

Python projects locally. By following these steps, you can work on your projects offline, improving efficiency and flexibility. If you have any questions, feel free to ask in the Q&A section. Thank you for watching, and see you in the next video!

Welcome to this video lesson, where you’ll learn how to create a simple Software as a Service (SaaS) application without writing any code. In this tutorial, we will use DeepSeek to build an image conversion tool that transforms JPEG files into WebP format. This method is perfect for beginners who want to explore software development without coding experience.

In this lesson, we will use DeepSeek’s DeepThink R1 model to generate the necessary code for an image conversion tool. This tool will include key features such as JPEG to WebP conversion, compression control, batch processing, a user-friendly dark theme interface, and a settings panel for adjusting compression levels and selecting output directories.

Before running the generated code, ensure that Python is installed on your system. You can download it from the official Python website. Once installed, copy the generated Python script, save it as webpconverter.py, and open the command prompt. Install the required libraries using the provided installation commands and execute the script using either the command prompt or Visual Studio Code.

Once the script runs, you will have a functional image conversion tool. To use it, select an image file, adjust the compression level, set the output directory, and click the convert button. The progress bar will indicate when the conversion is complete.

While this lesson covers the basics, there are ways to improve the application. The UI design can be refined with a more modern look. Additional file formats such as PNG and PDF can be supported. You can also integrate cloud storage for easier file access.

By the end of this lesson, you will have successfully created a basic SaaS application without writing any code. This is just the starting point. You can build similar tools, such as JPEG to PNG converters, PNG to PDF tools, or PDF compressors.

If you have any questions, feel free to ask in the Q&A section. I’ll do my best to respond as soon as possible. Thank you for watching, and I’ll see you in the next video

Learn DeepSeek R1: Make 3D Objects in Blender with AI.

Welcome to this course! In this lesson, you will learn how to use DeepSeek R1 to create 3D objects in Blender with the help of AI. DeepSeek R1 can write scripts for Blender, making it easier to build 3D models without manual coding. Whether you're a beginner or an expert, this tool will save you time and effort.

Why Use DeepSeek R1?

DeepSeek R1 is an AI-powered tool that writes accurate scripts for Blender. Instead of spending hours coding, you can use AI to generate scripts quickly and efficiently. This makes it a great tool for designers, developers, and anyone interested in 3D modeling. How to Create 3D Objects with DeepSeek R1 Download the Prompt File Get the prompt file from the resources section of this course.

This file has different prompts that will help you generate Blender scripts easily. Use the First Prompt Copy the first prompt from the file. Paste it into DeepSeek R1. Make sure the DeepSeek Carbon model is turned off for better results. Run the prompt to generate a script for creating a 3D cube in Blender. Run the Script in Blender Open Blender and go to the Text Editor. Click New File to create a new script. Paste the script you got from DeepSeek R1. Press Alt + P or click Run Script to execute it.

The script will create a cube for you automatically. Generate More 3D Objects Copy another prompt from the file and paste it into DeepSeek R1. Generate a new script for a different 3D object. Follow the same steps to run it in Blender. Why This Method is Helpful Using DeepSeek R1 makes 3D modeling easier and faster. Instead of writing complex scripts, you can let AI do the work for you.

This allows you to focus more on creativity and design rather than coding. Whether you're an artist, a game developer, or just learning Blender, this tool will help you improve your workflow. Start Now! Join this course to master DeepSeek R1 and improve your Blender skills. By the end of this lesson, you'll know how to generate AI-powered scripts and create 3D objects effortlessly. Get started today and see how AI can transform your 3D modeling experience!