[ GET } ZerotoMastery - AI Engineering Bootcamp: Build, Train and Deploy Models with AWS SageMaker

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Released 8/2024

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 84 Lessons ( 12h ) | Size: 1.9 GB

Learn to build end-to-end AI applications using AWS SageMaker: from gathering and preparing your own data, to training and modifying your own models, and deploying and scaling your AI application into the real world.

WHAT YOU'LL LEARN

Build and deploy cutting-edge artificial intelligence and machine learning models to the cloud
Utilize powerful pre-trained models from Hugging Face with AWS SageMaker
Uncover the mathematical secrets behind how Large Language Models work with a deep-dive into the Transformer architecture, tokenization, and more
Customize models to meet the needs of your AI applications using PyTorch to create unique solutions

Train and test models, ensuring they deliver accurate results every time
Learn best practices for monitoring and optimizing your models, including load testing and scaling for massive user demand

What Is An AI Engineer?

The short version is that an AI Engineer works on the entire lifecycle of an AI application - that is, an application that utilizes AI at its core. An AI Engineer takes AI models, including Large Language Models, and customizes them to their needs.

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