Certified Amazon Web Services (AWS) SageMaker Professional™
सर्टिफिकेशन कोड: 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
सीखने की अवधि
6 Weeks
प्रोग्राम की अवधि
Self Paced
एक्सेस का तरीका
Chat, Email & Phone
सीखने में सहायता
आप क्या सीखेंगे
इस सर्टिफिकेशन के बारे में
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.
यह सर्टिफिकेशन किसके लिए है?
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.
ज़रूरी पूर्व ज्ञान
शामिल मॉड्यूल
13 मॉड्यूल · 0 पाठ · 12 Hours- AWS AI Ecosystem
- Amazon SageMaker Overview
- SageMaker Studio
- Machine Learning Lifecycle
- AWS Environment Setup
सर्टिफिकेशन के फ़ायदे
Certified Amazon Web Services (AWS) SageMaker Professional™ सर्टिफिकेशन आपको इंडस्ट्री में मान्यता प्राप्त योग्यता और व्यावहारिक विशेषज्ञता प्रदान करता है।
जुड़ें 5,000+ दुनिया भर में सर्टिफिकेशन प्राप्त पेशेवर
2016 से 145+ देशों में भरोसेमंद
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.
इंडस्ट्री में मान्यता
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.
अपना आधिकारिक प्रमाणपत्र प्राप्त करें
सफलतापूर्वक पूरा करने पर एक सत्यापन योग्य डिजिटल प्रमाणपत्र प्राप्त करें, जिसे दुनिया भर के नियोक्ता मान्यता देते हैं। इसे LinkedIn पर साझा करें, अपने रिज़्यूमे में जोड़ें या हमारे ऑनलाइन पोर्टल पर सत्यापित करें।
अक्सर पूछे जाने वाले प्रश्न
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.
इस सर्टिफिकेशन में शामिल है
मुख्य जानकारी
काउंसिल की साख
Global Tech Council
सत्यापित जारीकर्ता
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).
आज ही काउंसलर से बात करें!
प्रमुख जॉब रोल्स
संबंधित नीतियाँ
Certified Amazon Web Services (AWS) SageMaker Professional
$249