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Cut Cloud Costs: Develop SageMaker model from your local machine in 4 simple steps!
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In this video, I'll guide you through setting up a local development environment for AWS SageMaker. You'll learn how to download and install Anaconda, create a virtual environment, install essential packages, and develop your SageMaker models directly from your machine. This approach helps reduce cloud costs while giving you a hands-on experience with SageMaker. Perfect for learners and developers alike—let's get started!
CHAPTERS:
00:00 - Intro
00:39 - Step 1: Download and Install Anaconda
01:49 - Step 2: Create a New Environment for MLOps
03:09 - Step 3: Install Required Packages for Machine Learning
04:13 - Step 4: Launch Jupyter Lab for SageMaker Model Development
08:26 - Conclusion
CHAPTERS:
00:00 - Intro
00:39 - Step 1: Download and Install Anaconda
01:49 - Step 2: Create a New Environment for MLOps
03:09 - Step 3: Install Required Packages for Machine Learning
04:13 - Step 4: Launch Jupyter Lab for SageMaker Model Development
08:26 - Conclusion
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