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Artificial Intelligence
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Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Introduction to Graphic Illustration
The Science of Gastronomy
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Delve into container-based application deployment on AWS, covering essential services, DynamoDB integration, and CI/CD implementation using AWS Copilot for efficient cloud development and operations.
Delve into DevOps fundamentals, Infrastructure as Code, and CI/CD pipelines with AWS, covering essential concepts, implementation strategies, and practical demonstrations for streamlined development workflows.
Discover konsep dasar analitik data dan big data di AWS, termasuk 5V, machine learning, dan berbagai layanan AWS untuk mengelola dan menganalisis data skala besar dalam bahasa Indonesia.
Delve into data lakes, modern data architectures, and data warehousing on AWS, exploring key services, use cases, and reference architectures for building robust analytics solutions.
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.
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 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 teknik optimasi model fondasi menggunakan RAG dan penyempurnaan, termasuk penyimpanan penyematan, peran agen, dan evaluasi kinerja dengan AWS.
Discover how to integrate, prepare, and combine data for analytics and ML using AWS Glue's serverless tools, including Glue Studio and DataBrew, through hands-on demonstrations in Bahasa Indonesia.
Delve into big data processing using Amazon EMR, mastering serverless deployment, cluster management, and Apache frameworks for efficient data analytics and machine learning in AWS environment.
Pelajari kasus penggunaan AI, ML, dan AI generatif di berbagai industri, termasuk kemampuan, batasan, pemilihan model, dan metrik bisnis untuk implementasi yang efektif.
Discover how to evaluate if machine learning suits your business needs, prepare data effectively, and plan successful ML project deployment in this foundational AWS guide.
Pelajari cara mengamankan dan mengelola solusi AI dengan AWS, termasuk strategi tata kelola data, kepatuhan, dan praktik terbaik keamanan untuk sistem kecerdasan buatan.
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