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Delve into machine learning and generative AI on AWS using SageMaker Canvas - build ML models, analyze data, and implement AI solutions without coding experience in Bahasa Indonesia.
Delve into managing Amazon S3 access points to control bucket permissions, implement tag-based access control, and configure VPC-specific resource accessibility for medical imaging data.
Dive into AWS development workflow using CodeCommit and CodeBuild to clone repositories, edit Java applications, automate builds, and run .jar files through hands-on practice with AWS Cloud9 IDE.
Dive into AWS CloudFormation automation by creating EC2 instances, configuring nginx installations, and managing infrastructure through template deployments in this hands-on Indonesian lab.
Dive into AWS CLI automation by learning to launch and manage EC2 instances, configure user data scripts, and deploy a Nginx web server through hands-on practice with command-line tools.
Dive into building serverless APIs using AWS SAM, deploying Lambda functions, and integrating with S3 storage through hands-on exercises in Python development.
Delve into Amazon Textract's ML capabilities for automated text extraction from scanned documents, with hands-on labs exploring synchronous and asynchronous operations in Bahasa Indonesia.
Delve into customizing and evaluating Large Language Models using Amazon SageMaker JumpStart, from prompt engineering to RAG implementation and model fine-tuning with hands-on practice in Bahasa Indonesia.
Delve into building RAG workflows with Amazon OpenSearch Service to enhance AI response accuracy by combining information retrieval with text generation techniques and vector embeddings.
Delve into building and optimizing large language models using Amazon SageMaker, from data preparation and distributed training to deployment and fine-tuning foundation models for generative AI tasks.
Delve into pemrosesan bahasa alami dengan Amazon Comprehend untuk mengekstrak wawasan dari teks, termasuk praktik langsung melalui lab klasifikasi dan pengenalan entitas khusus.
Discover how to find, deploy, and evaluate foundation models in SageMaker JumpStart's ML hub, including hands-on practice with LLMs and generative AI using the AWS console.
Delve into AWS cloud cost management, from resource tagging to architectural optimization, while mastering strategies to monitor, predict, and reduce expenses in your cloud infrastructure.
Delve into DevOps engineering practices on AWS, mastering continuous integration, microservices, infrastructure automation, monitoring, and deployment strategies for high-velocity application development and delivery.
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