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AWS Certified Cloud Practitioner

From 200 US dollars
Online Session

Service Description

The AWS Cloud Practitioner Certification lays a foundational understanding that is highly beneficial for everyone aiming to pursue to understand AI/ML on AWS. Majority of AI solutions globally are cloud-native or cloud-supported since Ai data is in the cloud. In AI projects, understanding cost, security, scalability, and governance is just as important as model accuracy for organizations. This Essential Certification helps you - 1. Estimate and manage AI/ML project costs 2. Align AI projects with organizational goals 3. Understand data privacy and compliance requirements This Essential Certification from AWS introduces you to AI/ML services, including: Amazon SageMaker – managed service to build, train, and deploy ML models. Amazon Rekognition – image and video analysis Amazon Comprehend – NLP service Amazon Lex – chatbot and voice assistant tech Amazon Polly – text-to-speech service The AWS Cloud Practitioner certification empowers you with following - 1. Understand cloud computing concepts (on-demand compute, storage, scalability) 2. Learn how cloud services like S3 (storage), EC2 (compute), and Lambda (serverless) can support data pipelines for AI workloads Category Foundation Exam duration 90 minutes Link for Exam Registration - https://cp.certmetrics.com/amazon Exam format - 65 questions; either multiple choice or multiple response Certification Exam Cost - 100 USD Exam Format - Test in-person at Pearson VUE or Online How Does Karamchaari.ai help you Vs. Others - 1. Train you with practical knowledge on Ai platforms & troubleshooting on platform as per Category on weekdays / weekends as per your availability 2. Prepare you for Passing Certification exam in your 1st Attempt of Exam 3. Train & Certify you with practical knowledge on Ai platforms, troubleshooting & passing certification exam 4. Group training with practical knowledge on Ai platforms for corporate booking & student booking on weekdays / weekends as per your availability


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