Nulled ZerotoMastery – AI Engineering Bootcamp: Build, Train and Deploy Models with AWS SageMaker

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ZerotoMastery – AI Engineering Bootcamp: Build, Train and Deploy Models with AWS SageMaker

Video Tutorial

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Descriptions

AI Engineering Bootcamp: Build, Train and Deploy Models with AWS SageMaker, Launch your career in AI with this course that teaches you to build, train, and deploy your own AI models using two of the most important AI tools used in the real world: AWS SageMaker and Hugging Face. No machine learning knowledge required. 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. 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. That requires everything from building models using custom datasets, to training and tuning models, to deploying models and scaling them using cloud technologies. AWS SageMaker (also referred to as Amazon SageMaker) is a fully managed machine learning service that empowers you to quickly build, train, and deploy machine learning models at scale. It eliminates the heavy lifting of infrastructure management, so you can focus on the fun part – creating your own awesome AI projects and applications!

What you’ll learn

• Build and deploy cutting-edge artificial intelligence & 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

Who this course is for

• Anyone who wants a step-by-step guide to learning to use AWS SageMaker, an end-to-end machine learning and AI tool, and be able to get hired as an AI Engineer
• Anyone who wants to launch or accelerate their career in AI
• Students, Developers, Machine Learning Engineers, Data Scientists, and AI Engineers who want to demonstrate practical, professional-level machine learning skills by actually building, training, and deploying real models to the cloud
• Anyone looking to expand their knowledge and toolkit when it comes to AI, Machine Learning and Deep Learning
• Bootcamp or online Amazon SageMaker tutorial graduates that want to go beyond the basics

Specificatoin of AI Engineering Bootcamp: Build, Train and Deploy Models with AWS SageMaker

• Publisher : ZerotoMastery
• Teacher : Patrik Szepesi
• Language : English
• Level : All Levels
• Number of Course : 84
• Duration : 12 hours

Content of AI Engineering Bootcamp: Build, Train and Deploy Models with AWS SageMaker

Requirements

• Basic Python knowledge is required. Don’t have that? You can start learning today by taking our Python Bootcamp course!
• An AWS account is required to use AWS SageMaker. We’ll walk you through setting one up in the course!
• High school mathematics is recommended, but not required (students have the option of skipping the math-heavy sections without issue)

Pictures

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Installation Guide

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Quality: 1080p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 879 MB

Password file(s): www.downloadly.ir

File size

1.85 GB