[2024] Generative AI with Vertex AI: Getting Started || #qwiklabs || #GSP1150 | [With Explanation🗣️]

Quick Lab ☁️
12 Jan 202406:12

TLDRThis video tutorial guides users through the updated process of getting started with Generative AI on Vertex AI. It instructs viewers to log in, agree to terms, and navigate to the Vex AI interface. The video emphasizes the importance of enabling the recommendation API, managing notebooks in the workspace, and launching Jupyter Lab. It also provides troubleshooting tips for common issues like kernel status and project ID configuration. Following the steps ensures a successful completion of the lab with a green checkmark on each task, rewarding patience and attention to detail.

Takeaways

  • 📝 Log in with your credentials to access the lab environment.
  • 🗸 Agree to the terms and conditions when prompted.
  • 🔍 Search for 'Vex AI' and open the relevant tab.
  • ✅ Enable all recommended APIs for the project.
  • 🖥️ Access the workbench and manage the notebook environment.
  • 📚 Open Jupyter Lab by waiting for it to launch.
  • 🔄 Refresh the page if Jupyter Lab doesn't load correctly.
  • 📂 Navigate to the 'prompt' folder within the 'language' directory.
  • 🎯 Ensure the kernel status is 'ideal' before running any commands.
  • 💡 Use the play button or 'Shift + Enter' to run cells in Jupyter Notebook.
  • 🔄 Wait for the kernel to restart and confirm any prompts.
  • 🔢 Replace the project ID in the script with the correct one from the dashboard.
  • 🌐 Update the region setting if a different one is specified in the lab instructions.
  • 🏃‍♂️ Execute all shells in sequence by using 'Shift + Enter' until completion.
  • 🏁 Monitor the progress and wait for the 'ideal' status after each command.
  • 📋 Check the files for any errors and ensure they are following the instructions.
  • 🎉 Achieve a green checkmark on each task by following the video instructions.

Q & A

  • What is the first step to begin with the lab?

    -The first step is to log in with your credentials.

  • How long does it typically take for a Jupyter Notebook to launch?

    -It takes a couple of seconds for a Jupyter Notebook to launch, but it might vary depending on the system load.

  • What should you do if you encounter an error while launching the Jupyter Notebook?

    -If an error occurs, wait for a few seconds and then refresh the page.

  • How do you ensure that you're running the correct commands in the Jupyter Notebook?

    -You need to make sure that your kernel status is 'ideal' before running any command.

  • What happens if the kernel status is 'busy'?

    -You have to wait until the kernel status changes to 'ideal' before running the next command.

  • How do you run a command in Jupyter Notebook?

    -You can either click on the play button or hit Shift + Enter to run a command.

  • What should you do if the kernel restarts and shows a popup?

    -Click 'OK' on the popup to continue.

  • How do you replace the project ID in the script?

    -Go back to the dashboard, copy the project ID, and replace the placeholder in the script with the actual ID.

  • What is the purpose of the recommendation API in the lab?

    -The recommendation API is used to enable the necessary services for the lab to function properly.

  • What should you do if you find a different region in the lab instructions?

    -Replace the region in the script with the one found in the lab instructions, otherwise, you can continue with the default region.

  • How can you tell if you have successfully completed the lab?

    -If you have followed the instructions correctly, you will see a green tick next to each task in the lab instructions, and the lab will score full points without any issues.

Outlines

00:00

🚀 Getting Started with the Updated Lab

The paragraph begins with a warm welcome to the channel and introduces an updated lab solution. The speaker requests viewers to watch the video carefully as each step will be explained in detail. The process starts with logging into the platform using credentials, followed by a series of clicks to navigate through various options such as checkboxes, agreement buttons, and searching for the Vex AI. The speaker emphasizes the importance of enabling all recommendation APIs and provides instructions on how to manage notebooks and launch a Jupyter lab. The paragraph also addresses potential issues that may arise when launching the Jupyter notebook, advising viewers to wait and refresh the page if necessary. Detailed guidance is given on how to run commands in the Jupyter notebook environment, including checking kernel status and executing commands using the play button or shift-enter. The paragraph concludes with instructions on how to access and open specific folders and files within the Jupyter notebook interface.

05:21

🎉 Achieving a Perfect Score in the Lab

This paragraph focuses on the outcomes and verification process after completing the lab. The speaker instructs viewers to check their files for errors and to refer back to the lab instructions. It is mentioned that a perfect score can be achieved by following the provided instructions, as indicated by a green checkmark for each task. The speaker reassures viewers that even if the green checkmark is not immediately visible, they should wait patiently as the score will be updated soon. The paragraph ends with an invitation for viewers to leave comments if they have any doubts, and the speaker expresses gratitude for watching, wishing viewers a good day.

Mindmap

Keywords

💡Generative AI

Generative AI refers to the branch of artificial intelligence that focuses on creating or generating new content, such as text, images, or audio, based on learned patterns and data. In the context of the video, Generative AI is the main focus, where the user is guided through the process of setting up and using Vertex AI to explore its generative capabilities.

💡Vertex AI

Vertex AI is a suite of tools and services offered by Google Cloud that enables developers and data scientists to build, deploy, and manage machine learning models efficiently. It provides a seamless platform for developing AI and ML solutions, including generative AI applications as discussed in the video.

💡Qwiklabs

Qwiklabs is a platform that provides hands-on learning experiences through interactive labs and courses, often related to cloud technologies and software development. In this video, the user is guided through a lab that has been recently updated, indicating that Qwiklabs offers a current and practical learning environment for Generative AI with Vertex AI.

💡GSP1150

GSP1150 appears to be a specific course or lab identifier on the Qwiklabs platform. It suggests that the video provides an updated solution for this particular lab, which focuses on Generative AI using Vertex AI.

💡Credentials

Credentials in this context refer to the user authentication details, such as usernames and passwords, required to access and use the services provided by Vertex AI and Qwiklabs. The script instructs the viewer to log in with their credentials to proceed with the lab.

💡Recommendation API

The Recommendation API is a service that provides recommendations based on user data and behavior. In the context of the video, enabling the Recommendation API is a necessary step to ensure that the user can access and utilize the generative AI features of Vertex AI.

💡Workbench

A workbench in the context of this video is a user interface within Vertex AI that provides a collaborative environment for developing, testing, and deploying AI models. It is where users can manage their notebooks and other resources required for their AI projects.

💡Jupyter Lab

Jupyter Lab is an open-source web-based interactive development environment used for data analysis, scientific computing, and machine learning. In the video, launching Jupyter Lab is a crucial step to access the notebook interface for executing code and running AI-related tasks.

💡Kernel Status

Kernel status refers to the state of the execution environment in Jupyter Lab. The status can be 'busy', 'idle', or 'dead', indicating whether the kernel is currently running processes, ready to accept new commands, or has been terminated. Monitoring the kernel status is important for successfully running commands and code in Jupyter Lab.

💡Project ID

A Project ID is a unique identifier for a specific project or resource group within a cloud platform like Google Cloud's Vertex AI. It is used to manage permissions, services, and resources associated with the project. In the video, the user is instructed to replace the placeholder Project ID in the script with their own to personalize the AI model for their use.

💡Region

In cloud computing, a region refers to a geographical area that contains multiple data centers or zones. Choosing the correct region can impact the performance and latency of cloud services. In the context of the video, the user is advised to replace the region if a different one is specified in the lab instructions, which can affect the performance and availability of the AI services.

💡Green Tock

A green tick or 'green tock' in the context of Qwiklabs typically indicates successful completion of a task or lab. It serves as a visual confirmation that the user has correctly followed the instructions and achieved the learning objectives.

Highlights

Log in with your credentials to start the Generative AI lab.

Watch the video carefully for a detailed explanation of each step.

Search for 'Vex AI' and open it in a new tab to proceed.

Enable all recommendation APIs for the necessary permissions.

Access the workbench and manage your notebook from the dashboard.

Wait for Jupyter Lab to launch, and refresh the page if any errors occur.

Navigate to the 'prompt' folder within the 'language' directory.

Run the shell commands by clicking the play button or pressing Shift+Enter.

Ensure the kernel status is 'ideal' before running new commands.

Replace the project ID in the script with the one from the dashboard.

Adjust the region setting if a different region is specified in the lab instructions.

Run all remaining shells in sequence by pressing Shift+Enter until completion.

Track your progress and wait for the 'col' status to show as 'ideal'.

Check your files for any errors and ensure they are following the instructions.

If you don't get a green score immediately, wait a few minutes for the lab to update.

Complete all tasks to earn a full score for the Generative AI lab.

For any doubts or issues, check the lab instructions or leave a comment.

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