AWS re:Invent 2024 - Introduction to MLOps engineering on AWS (TNC207)
Could your machine learning (ML) workflows use some DevOps agility? In this session, explore how to bring DevOps-style practices into building, training, and deploying ML models. Also learn how to address the challenges associated with handoffs between data engineers, data scientists, software developers, and operations through the use of tools, automation, processes, and teamwork. Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4 About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. #AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - Best practices for serverless developers (SVS401)
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AWS re:Invent 2024 - [NEW LAUNCH] Store tabular data at scale with Amazon S3 Tables (STG367-NEW)

AWS re:Invent 2023 - Introduction to MLOps engineering on AWS (TNC215)

AWS re:Invent 2024 - Data engineering for ML and AI with AWS analytics (ANT405)

AWS Security Agent: AI-Powered Security for the Speed of Development – Akshay Kulkarni, SentinelOne

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

Exploring MLOps and LLMOps: Architectures and Best Practices

AWS re:Invent 2024 - How to build scalable platforms with Amazon EKS (KUB301)

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

AI, DevOps, and Kubernetes: Kelsey Hightower on What’s Next
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Andrej Karpathy: Software Is Changing (Again)

AWS re:Invent 2023 - Scale complete ML development with Amazon SageMaker Studio (AIM325)

MLOps explained | Machine Learning Essentials

AWS re:Invent 2024 - Supercharge your DevOps practices with generative AI (DEV321)

AWS re:Invent 2024 - Build scalable RAG applications using Amazon Bedrock Knowledge Bases (AIM305)

How to Actually Build Mobile Apps with AI in 2026 | A Complete Beginner's Tutorial

AWS re:Invent 2024 - How Netflix handles sudden load spikes in the cloud (NFX301)

AWS re:Invent 2024 - Architectural best practices throughout the lifecycle (ARC206)

