File Name: | Building and Evaluating LLM-Powered Apps on AWS |
Content Source: | https://www.udemy.com/course/building-and-evaluating-llm-powered-apps-on-aws/?couponCode=LETSLEARNNOW |
Genre / Category: | Other Tutorials |
File Size : | 326.0 MB |
Publisher: | Basics Strong |
Updated and Published: | July 4, 2025 |
This course, “Building and Evaluating LM-Powered Apps on AWS,” offers a comprehensive and practical journey into the world of Large Language Models (LLMs) and their application development on the Amazon Web Services (AWS) cloud, with a strong focus on Amazon Bedrock.
You’ll begin by gaining a solid understanding of Amazon Bedrock’s capabilities as a fully managed service that provides serverless access to a diverse range of high-performing Foundation Models (FMs) from leading AI providers like Anthropic, AI21 Labs, Cohere, and Amazon’s own Titan models. We’ll demystify why Bedrock is a game-changer for developers, abstracting away the complexities of model hosting and infrastructure management.
The core of the course is intensely hands-on. You’ll learn to set up a secure and efficient AWS environment for LLM development, including the configuration of IAM roles and permissions, and mastering the use of the AWS Command Line Interface (CLI) and Boto3 SDK for programmatic interaction with Bedrock. This foundational knowledge will empower you to interact directly with various LLMs, experiment with different model parameters (like temperature and top-p), and utilize the Chat Playground for rapid prototyping and prompt engineering.
Who this course is for:
- This course is ideal for a variety of professionals and enthusiasts who want to leverage the power of Large Language Models (LLMs) on a robust and scalable cloud platform. Specifically, this course is for: Software Developers & Engineers: If you’re a developer looking to integrate cutting-edge AI capabilities into your applications and want to understand how to build, deploy, and manage LLM-powered features on AWS, this course will provide you with practical, hands-on skills. Data Scientists & Machine Learning Engineers: For those who understand AI/ML concepts and are looking to transition their knowledge into building real-world generative AI applications without deep infrastructure management, this course offers a clear path to leveraging Amazon Bedrock. AI/ML Enthusiasts & Innovators: If you’re passionate about artificial intelligence, fascinated by LLMs, and eager to experiment with building intelligent applications on a leading cloud platform, this course will empower you to bring your ideas to life. Solution Architects & Technical Leads: Professionals responsible for designing system architectures and guiding technical teams will benefit from understanding how Amazon Bedrock simplifies LLM integration, enabling them to make informed decisions about generative AI adoption. In essence, if you’re looking to move beyond theoretical understanding of LLMs and dive into the practical aspects of building and evaluating intelligent applications using a managed service like Amazon Bedrock, this course is designed to equip you with the necessary expertise
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