Certified Amazon Web Services (AWS) SageMaker Professional™
职业认证代码： 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
学习时长
6 Weeks
项目时长
Self Paced
访问方式
Chat, Email & Phone
学习支持
您将学到什么
关于此职业认证
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.
本职业认证适合哪些人？
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.
先修要求
包含的模块
13 模块 · 0 课节 · 12 Hours- AWS AI Ecosystem
- Amazon SageMaker Overview
- SageMaker Studio
- Machine Learning Lifecycle
- AWS Environment Setup
职业认证优势
Certified Amazon Web Services (AWS) SageMaker Professional™ 职业认证助您获得行业认可的资质和实用的专业技能。
加入 5,000+ 全球已获职业认证的专业人士
自 2016 年以来，深受 145+ 个国家的信赖
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.
行业认可
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.
常见问题
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.
本职业认证包含
基本信息
理事会权威性
Global Tech Council
已验证的颁发机构
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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主要职业岗位
Certified Amazon Web Services (AWS) SageMaker Professional
$249