🚀 Get Started with Jupyter Notebooks in SageMaker Unified Studio Are you ready to dive into machine learning with Amazon SageMaker? This step-by-step tutorial will show you how to set up your first Jupyter Notebook in SageMaker Unified Studio, the ideal environment for exploring data and running ML workflows. In this video, you’ll learn how to: 1️⃣ Launch SageMaker Studio from the AWS Console. 2️⃣ Create and configure your first Jupyter Notebook in SageMaker Studio. 3️⃣ Run Python code in notebook cells using Jupyter's intuitive interface. 4️⃣ Integrate Jupyter Notebooks with version control systems (VCS). 5️⃣ Connect with Amazon Q for advanced AI capabilities. 6️⃣ Build foundational skills to unlock advanced SageMaker features. 💡 Perfect for beginners and professionals alike who are exploring SageMaker or looking to sharpen their data science skills. 📚 Want to master more AWS tools? Check out our in-depth course: https://courses.datamastery.pro/p/mastering-genai-using-aws 👍 Like, Comment, and Share this video if you found it helpful! 🔔 Subscribe & Hit the Notification Bell to stay updated with our latest AWS tutorials. Follow Us: 🌐 Website: www.datamastery.pro 📸 Instagram: datamasterypro 💼 LinkedIn: datamasterypro #aws #sagemaker #jupyternotebook #machinelearning #datascience #cloudcomputing #datamastery