Building, training and deploying machine learning models with Amazon SageMaker (July 2020)

Talk @ AWS Africa Virtual Day, 9/7/2020. An up to date overview of all SageMaker capabilities, with an end to end demo: building a classifier with XGBoost, using SageMaker Debugger, SageMaker Model Monitor, Real-Time Endpoints, Batch Transform, and Spot Instances in the process. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future videos ⭐️⭐️⭐️ ⭐️⭐️⭐️ Want to buy me a coffee? I can always use more :) https://www.buymeacoffee.com/julsimon ⭐️⭐️⭐️ For more content: AWS blog: https://aws.amazon.com/blogs/aws/auth... Medium blog:   / julsimon   YouTube:    / juliensimonfr   Podcast: http://julsimon.buzzsprout.com Twitter   / @julsimon  

AWS Summit DC 2022 - Amazon SageMaker Inference explained: Which style is right for you?
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AWS Summit DC 2022 - Amazon SageMaker Inference explained: Which style is right for you?

AI Engineering with AWS SageMaker: Crash Course for Beginners!
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AI Engineering with AWS SageMaker: Crash Course for Beginners!

Complete Terraform Course - From BEGINNER to PRO! (Learn Infrastructure as Code)
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Complete Terraform Course - From BEGINNER to PRO! (Learn Infrastructure as Code)

Organize, Track, and Evaluate ML Training Runs With Amazon SageMaker Experiments
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Organize, Track, and Evaluate ML Training Runs With Amazon SageMaker Experiments

Built-in Machine Learning Algorithms with Amazon SageMaker - a Deep Dive
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Built-in Machine Learning Algorithms with Amazon SageMaker - a Deep Dive

Build ML models using SageMaker Studio Notebooks - AWS Virtual Workshop
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Build ML models using SageMaker Studio Notebooks - AWS Virtual Workshop

Amazon Sagemaker Tutorial | AWS SageMaker Tutorial | How to Use Amazon SageMaker | Machine Learning
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Amazon Sagemaker Tutorial | AWS SageMaker Tutorial | How to Use Amazon SageMaker | Machine Learning

AWS Summit ANZ 2022 - End-to-end MLOps for architects (ARCH3)
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AWS Summit ANZ 2022 - End-to-end MLOps for architects (ARCH3)

AWS re:Invent 2019: [NEW LAUNCH!] Amazon Augmented AI for human review of ML predictions (AIM325-R)
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AWS re:Invent 2019: [NEW LAUNCH!] Amazon Augmented AI for human review of ML predictions (AIM325-R)

NVIDIA-Certified Associate AI Infrastructure and Operations (NCA AIIO) Free Study Course
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NVIDIA-Certified Associate AI Infrastructure and Operations (NCA AIIO) Free Study Course

Generative AI Foundations on AWS | Part 1: Introduction to foundation models
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Generative AI Foundations on AWS | Part 1: Introduction to foundation models

AWS re:Invent 2020: Implementing MLOps practices with Amazon SageMaker
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AWS re:Invent 2020: Implementing MLOps practices with Amazon SageMaker

Amazon SageMaker Studio - A Fully Integrated Development Environment For Machine Learning
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Amazon SageMaker Studio - A Fully Integrated Development Environment For Machine Learning

MLOps Explained - What It Is, Why You Need It and How It Works
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MLOps Explained - What It Is, Why You Need It and How It Works

Automatically Build, Train, and Tune ML Models With Amazon SageMaker Autopilot
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Automatically Build, Train, and Tune ML Models With Amazon SageMaker Autopilot

AWS Certified Cloud Practitioner Training 2020 - Full Course
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AWS Certified Cloud Practitioner Training 2020 - Full Course

STEP BY STEP TO MACHINE LEARNING WITH SAGEMAKER (getting started with Amazon Sagemaker)
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STEP BY STEP TO MACHINE LEARNING WITH SAGEMAKER (getting started with Amazon Sagemaker)

Amazon SageMaker Notebooks - Intro to Jupyter and hands on!
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Amazon SageMaker Notebooks - Intro to Jupyter and hands on!

AWS re:Invent 2021 - Implementing MLOps practices with Amazon SageMaker, featuring Vanguard
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AWS re:Invent 2021 - Implementing MLOps practices with Amazon SageMaker, featuring Vanguard

Real-Time WebSockets Course | Build a Live Sports Dashboard with Node.js & PostgreSQL
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Real-Time WebSockets Course | Build a Live Sports Dashboard with Node.js & PostgreSQL