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In this course, learn how to build real-world, AI-powered applications using Amazon Bedrock. Instructor Noah Gift starts off with an examination of the foundation model service, focusing on how to utilize the unified API to interact with various foundational models, such as those from Anthropic, Amazon's own models, or Mistral. He compares different variants and demonstrates how to effectively employ this unified interface. Then, dive into the console and explore its significance and advantages for prototyping. Noah then guides you through building applications, showing how to use the chat interface and compare different prompts, and explains the agents ecosystem. Plus, learn how to use the knowledge base, including how to ground using retrieval, augmented generative AI, and how to combine these elements.
Note: This course was created by Pragmatic AI Labs. We are pleased to host this training in our library.
در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

AI Orchestration: Designing the Prototype Architecture and Data Strategy

Google Cloud Professional Data Engineer Cert Prep: 3 Operationalizing Machine Learning Models

AWS Certified Security – Specialty (SCS-C02) Cert Prep: 3 Infrastructure Security

توسعه و کدنویسی بر روی AWS

Google Cloud Professional Machine Learning Engineer Cert Prep: 1 Framing ML Problems

Databricks Certified Data Engineer Associate Cert Prep: 2 ELT with Spark SQL and Python

AWS Certified Machine Learning – Specialty (MLS-C01) Cert Prep: 2 Exploratory Data Analysis

دوره یادگیری کامل AWS Sagemaker

AWS Certified Security – Specialty (SCS-C02) Cert Prep: 2 Security Logging and Monitoring

Rust AWS Lambda
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