Certified Amazon Web Services (AWS) SageMaker Professional™
認定資格プログラムコード: CAWSSMP
Certified Amazon Web Services (AWS) SageMaker Professional™ is a comprehensive, industry-focused certification designed to help professionals master Amazon SageMaker, machine learning operations (MLOps), artificial intelligence, model development, model deployment, and enterprise AI lifecycle management on AWS. This certification equips learners with the practical knowledge and technical expertise required to build, train, optimize, deploy, monitor, and scale machine learning models using Amazon SageMaker and the AWS AI ecosystem.
Through this certification, you will learn how to leverage Amazon SageMaker for end-to-end machine learning workflows, from data preparation and feature engineering to model training, hyperparameter optimization, inference, and production deployment. You will gain expertise in SageMaker Studio, SageMaker Pipelines, JumpStart, AutoML, Feature Store, Model Registry, endpoint deployment, batch inference, distributed training, and experiment tracking.
The programme also explores advanced topics including Generative AI, Amazon Bedrock integration, foundation models, Retrieval-Augmented Generation (RAG), MLOps automation, explainable AI (XAI), responsible AI, model monitoring, CI/CD for machine learning, cloud security, and cost optimization. Designed for today's AI-first cloud environment, this certification emphasizes hands-on implementation, production deployment, enterprise architecture, and modern MLOps best practices.
$249
12 Hours
学習期間
6 Weeks
プログラム期間
Self Paced
アクセス方法
Chat, Email & Phone
学習サポート
学習内容
この認定資格プログラムについて
A Certified Amazon Web Services (AWS) SageMaker Professional™ is an AI and cloud professional capable of designing, developing, deploying, monitoring, and optimizing machine learning solutions using Amazon SageMaker and the AWS AI ecosystem while following enterprise-grade MLOps and security practices.
この認定資格プログラムの対象者
Machine Learning and AI Engineers
Professionals building, training, and deploying ML and AI models who want to master end-to-end machine learning workflows on Amazon SageMaker and the AWS AI ecosystem.
Data Scientists
Practitioners who want to operationalize their models using SageMaker Studio, Autopilot, Feature Store, and experiment tracking while adopting enterprise MLOps best practices.
MLOps and Cloud Engineers
Engineers responsible for automating ML pipelines, CI/CD for machine learning, model monitoring, drift detection, and scalable production deployment on AWS.
AWS Solution Architects and Developers
Cloud professionals who design secure, scalable AI architectures and want deep, service-specific expertise in SageMaker, security, cost optimization, and enterprise governance.
Data and AI Application Developers
Software and data engineers integrating Generative AI, Amazon Bedrock, foundation models, and RAG-based applications into enterprise products and business processes.
Students and Career Changers
Students and technology enthusiasts pursuing cloud AI careers who want a structured, hands-on pathway from fundamentals to production-ready enterprise AI on AWS.
前提条件
含まれるモジュール
13 モジュール · 0 レッスン · 12 Hours- AWS AI Ecosystem
- Amazon SageMaker Overview
- SageMaker Studio
- Machine Learning Lifecycle
- AWS Environment Setup
認定資格プログラムのメリット
Certified Amazon Web Services (AWS) SageMaker Professional™の認定資格プログラムでは、業界で認められる資格と実践的な専門知識を身につけられます。
入会 5,000+ 世界各地で認定を受けた専門家
2016年から145+か国で信頼されています
Master Amazon SageMaker
Develop expertise in Amazon SageMaker Studio, machine learning lifecycle management, model deployment, MLOps, Generative AI, Amazon Bedrock, and enterprise AI architecture.
Build Practical AI Skills
Gain hands-on experience building, training, deploying, monitoring, and optimizing machine learning models while implementing scalable MLOps workflows and production-ready AI solutions on AWS.
Advance Your Career
Open opportunities in artificial intelligence, machine learning, cloud engineering, MLOps, data science, cloud architecture, AI consulting, enterprise software development, and AWS solution engineering.
業界での評価
The Certified Amazon Web Services (AWS) SageMaker Professional™ credential validates your expertise in one of the industry's leading cloud-based machine learning platforms and demonstrates your ability to build enterprise-grade AI solutions.
Stay Ahead of AI Innovation
Learn emerging technologies including Generative AI, Amazon Bedrock, Retrieval-Augmented Generation (RAG), foundation models, serverless machine learning, explainable AI, automated MLOps, and enterprise AI governance.
正式な認定証を取得
修了要件を満たすと、世界各地の雇用主に認められる、検証可能なデジタル認定証を受け取れます。LinkedInや履歴書で共有したり、当団体のオンラインポータルで検証したりできます。
よくあるご質問
It is a professional certification that validates expertise in developing, deploying, monitoring, and managing machine learning and Generative AI solutions using Amazon SageMaker and the AWS AI ecosystem.
この認定資格プログラムに含まれる内容
基本情報
評議会の権威
Global Tech Council
検証済みの発行機関
This certification is developed and maintained by the Global Tech Council's panel of industry experts with decades of combined experience in machine learning (ml).
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主な対象職種
Certified Amazon Web Services (AWS) SageMaker Professional
$249