Certified Amazon Web Services (AWS) SageMaker Professional™
자격 인증 과정 코드: 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
학습 기간
6 Weeks
프로그램 기간
Self Paced
이용 방식
Chat, Email & Phone
학습 지원
학습 내용
이 자격 인증 과정 소개
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.
이 자격 인증 과정은 누구를 위한 과정인가요?
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.
선수 요건
포함된 모듈
13 모듈 · 0 차시 · 12 Hours- AWS AI Ecosystem
- Amazon SageMaker Overview
- SageMaker Studio
- Machine Learning Lifecycle
- AWS Environment Setup
자격 인증 과정 혜택
Certified Amazon Web Services (AWS) SageMaker Professional™ 자격 인증 과정을 통해 업계에서 인정받는 자격과 실무 전문성을 갖출 수 있습니다.
가입 5,000+ 전 세계 자격 인증 취득 전문가
2016년부터 145+개국에서 신뢰받고 있습니다
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.
업계 인정
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.
공식 인증서를 취득하세요
성공적으로 수료하면 전 세계 고용주가 인정하는 진위 확인 가능한 디지털 인증서를 받습니다. LinkedIn이나 이력서에 공유하거나 온라인 포털에서 인증서의 진위를 확인하세요.
자주 묻는 질문
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.
이 자격 인증 과정에 포함된 내용
주요 정보
협의회의 권위
Global Tech Council
검증된 발급 기관
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).
지금 상담사와 상담하세요!
주요 관련 직무
Certified Amazon Web Services (AWS) SageMaker Professional
$249