Are you looking for a FREE machine learning environment to get hands-on experience? Check out Amazon SageMaker Studio Lab! No AWS account or credit card is required—simply sign up with your email and enjoy free access to either a CPU or GPU environment.
It took me just 5 minutes to create an account and start working in the JupyterLab environment.
This differs from Amazon SageMaker Studio, which does require an AWS account and credit card. However, the great thing is that if you begin working in SageMaker Studio Lab and want to scale up to a more powerful environment, you can easily migrate your work to SageMaker Studio to unlock the full capabilities of Amazon SageMaker.
Here’s a quick overview and a link to claim your free environment:
🤑 Free Access: No AWS account or credit card needed. Just sign up with your email and start experimenting!
🥼 JupyterLab Environment: Utilize Jupyter notebooks with AWS computing power.
💻 CPU & GPU Options: Select the right computing resources for your needs, whether you’re a beginner or more advanced.
💾 Persistent Storage: Get 15 GB of storage to keep your projects safe.
🔗https://studiolab.sagemaker.aws/
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