Mastering AI Models with Hands-On Google Colab Projects
- Development
- Apr 28, 2025

Mastering AI Models with Hands-On Google Colab Projects, available at $54.99, with 30 lectures, 1 quizzes, and has 5 subscribers.
You will learn about Create Question and Answer Chatbot Using Colab, Llama 3, Mistral-7B and GPT2?Models Generate Images from Text Using Colab and Stable Diffusion Model Image Recognition Using Colab and GPT-4o API Generate Voice Using Colab and Bark Model Generate Video Using Colab and text-to-video-ms-1.7b Model This course is ideal for individuals who are People who are curious about AI or People who wanna interact with AI Models or People who are interested in showcases of using AI models or People who wanna run AI Models on Google Colab It is particularly useful for People who are curious about AI or People who wanna interact with AI Models or People who are interested in showcases of using AI models or People who wanna run AI Models on Google Colab.
Enroll now: Mastering AI Models with Hands-On Google Colab Projects
Summary
Title: Mastering AI Models with Hands-On Google Colab Projects
Price: $54.99
Number of Lectures: 30
Number of Quizzes: 1
Number of Published Lectures: 30
Number of Published Quizzes: 1
Number of Curriculum Items: 31
Number of Published Curriculum Objects: 31
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Table of Contents
How to use Google Colab
Translation text use NLLB Model
QnA with Llama 3 Model and Mistral-7B Model based on FaQ
QnA with GPT-2 Model based on a JSON File
Image Generation with Stable Diffusion Model
Image Recognition with GPT-4o Model
Voice Generation with Bark Model
Text to Video with text-to-video-ms-1.7b Model
Description
How to use Google Colab
How to create a Google Colab project
How to run a python project on Colab
How to choose GPU
How to use external File on Colab
How to use file from Google Driver on Colab
How to use Hugging Face token and ChatGPT token from Colab
Translation text use NLLB Model
Based on a text in german, using NLLB Model we can translate it to english. NLLB Model supports for more than 200 languages as input and output.
QnA with Llama 3 Model and Mistral-7B Model based on FaQ
An FaQ text file was prepared, by using Llama 3 Model or Mistral-7B Model, questions about this FaQ file can be raised and the Chatbot will give answer based on the FaQ file.
QnA with GPT-2 Model based on a JSON File
Information about a dummy company profile was prepared in a json file, by using GPT-2 Model, the Chatbot will give answer based on the company profile, if related question is raised.
Image Generation with Stable Diffusion Model
Based on text, an image will be generated by using stable diffusion model.
Image Recognition with GPT-4o Model
Given a image of a Sculpture, using GPT-4o model, it will tell you what is inside the image and give you information about the sculpture.
Voice Generation with Bark Model
Based on the voice you provide, the Bark model tries to generate a voice file for text snippets.
Text to Video with text-to-video-ms-1.7b Model
Given a text description about a scenario, the text-to-video-ms-1.7b will generate a video for you.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Use Cases in this course
Chapter 2: Translation with NLLB Model on Colab
Lecture 1: Introduction
Lecture 2: Create a Google Colab project
Lecture 3: Set up environment
Lecture 4: Coding and Run Project
Lecture 5: Download and Upload Colab Project
Lecture 6: How to support and translate other languages
Chapter 3: Question and Answer (QnA) with Llama 3 Model
Lecture 1: Introduction
Lecture 2: Preparation
Lecture 3: Run the Llama 3 Model
Chapter 4: Question and Answer (QnA) with Mistral-7B Model
Lecture 1: Introduction
Lecture 2: Preparation
Lecture 3: Run the Mistral-7B Model
Chapter 5: Question and Answer (QnA) with GPT-2 Model
Lecture 1: Introduction
Lecture 2: Preparation
Lecture 3: About the Training Data
Lecture 4: Run the GPT-2 Model
Chapter 6: Image Generation with Stable Diffusion Model
Lecture 1: Introduction
Lecture 2: Preparation
Lecture 3: Run the Stable Diffusion Model
Chapter 7: Image Recognition with GPT-4o Model
Lecture 1: Introduction
Lecture 2: Preparation
Lecture 3: Run the GPT-4o Model
Chapter 8: Clone a Voice with Bark Model
Lecture 1: Introduction
Lecture 2: Preparation
Lecture 3: Run the Bark Model
Chapter 9: Text to Video with text-to-video-ms-1.7b Model
Lecture 1: Introduction
Lecture 2: Preparation
Lecture 3: Run the text-to-video-ms-1.7b Model
Chapter 10: Summary
Lecture 1: Summary
Instructors

Yu Li
Software developer and Founder
Rating Distribution
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