All current Amazon SageMaker Courses courses in 2024
48 Courses
Model Evaluation with Amazon SageMaker
Model Evaluation with Amazon SageMaker
Machine learning models play a critical role in AI solutions, requiring them to be highly performant and capable of generalizing new data. Evaluating these models is essential to ensure their effectiveness. This comprehensive course offers in-depth knowledge on assessing machine learning models utilizing Amazo.
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Get AWS AI Certified: HandsOn,Quiz & Tests|Zero-to-Hero 2025
Get AWS AI Certified: Hands-On, Quiz & Tests | Zero-to-Hero 2025
Join our expertly designed course for a comprehensive preparation to achieve your AWS AI Certification. Benefit from hands-on experience through curated practice tests in collaboration with the Amazon Team. Fast-track your path to certification and aim to succeed in your first at.
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Mastering AI on AWS: Training AWS Certified AI-Practitioner
Embark on a transformative journey with Udemy's "Mastering AI on AWS: Training AWS Certified AI-Practitioner." This course meticulously covers the development of AI and Machine Learning solutions using a range of AWS services, offering a deep dive from basic principles to achieving certification success.
Leverage this opportunity to enhance you.
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Amazon SageMaker Getting Started
Welcome to "Amazon SageMaker Getting Started" course. Designed for individuals new to Amazon SageMaker AI, this course offers a comprehensive introduction to its benefits and technical concepts. You'll learn to navigate the AWS Management Console and use a Jupyter notebook instance for training and prediction with a machine learning model.
C.
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Build a Question-answering Bot using Generative AI (Simplified Chinese)
建置基於生成式 AI 的問答機器人 (簡體中文) - AWS Skill Builder
在此實驗室中,您將建置可回答 AWS 服務相關問題的 Chatbot。此實驗室的設計訴求是讓您實際體驗如何部署大型語言模型 (LLM)、將該模型與 Amazon Kendra 資料來源整合,以及建置可詢問 LLM 並使用檢索增強生成 (RAG) 來找出使用者問題解答的 Amazon Lex V2 Chatbot。此實驗室可協助您了解.
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Build a question-answering bot using generative AI
This lab offers a comprehensive guide on creating a question-answering chatbot with generative AI capabilities. Utilizing stateless, retrieval augmented generation, this tutorial provides in-depth instructions on leveraging AWS Classroom courses to answer queries effectively.
Objectives: Successfully completing this lab will enable participants to:.
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MLOps | Machine Learning Operations
Embark on a comprehensive journey into the world of Machine Learning Operations (MLOps) with our specialized course series, tailored for individuals possessing programming expertise. Ideal for software developers, data scientists, and researchers, this series dives deep into essential MLOps skills. Master the use of programming languages like Pytho.
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Machine Learning Learning Plan
This comprehensive Learning Plan is specifically crafted for Data Scientists and Developers eager to incorporate machine learning (ML) and artificial intelligence (AI) into their applications and tools. Through an engaging digital training format, participants will gain unparalleled exposure to a wide array of machine learning services along with r.
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Building Language Models on AWS
Amazon SageMaker empowers data scientists to efficiently prepare, build, train, deploy, and monitor machine learning models. It offers a robust suite of capabilities, including the utilization of distributed training libraries, open-source models, and foundational models. Particularly, this advanced 5.5-hour course is designed for experienced data.
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AWS Industry Quest: Healthcare
Event Title: AWS Industry Quest: Healthcare
Description: Dive into the transformative power of AWS for healthcare. Explore real-world applications ranging across topics such as Artificial Intelligence for Medical Diagnosis using Amazon SageMaker, Cloud automation for GxP compliance, and more. Discover tailored AWS solutions like Amazon CloudFront,.
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