Enroll Course: https://www.coursera.org/learn/genai-llm-aws
The ‘GenAI and LLMs on AWS’ course on Coursera offers a robust and practical approach to deploying and managing large language models (LLMs) in production environments. Designed for cloud engineers, AI developers, and data scientists, this course guides learners through the entire lifecycle of LLM deployment using AWS services, particularly Amazon Bedrock. The curriculum starts with foundational skills like setting up a Rust development environment and working with the AWS SDK, making it accessible even for those new to cloud-based AI development.
One of the standout features of this course is its hands-on approach. Through modules like AI Pair Programming with CodeWhisperer, learners get to practice guiding AI tools to write code, craft prompts, and automate tasks, which enhances both coding efficiency and understanding of prompt engineering.
The core module on Amazon Bedrock is particularly valuable, offering deep insights into evaluating, customizing, and deploying LLMs at scale. Learners also explore strategies for optimizing cost, performance, and scalability on AWS, including auto-scaling groups, spot instances, and container orchestration. Monitoring and logging are emphasized to ensure ongoing improvement and reliability.
I highly recommend this course to anyone interested in deploying AI models in a cloud environment. Its practical exercises and clear explanations make complex concepts accessible. Whether you’re looking to enhance your AI deployment skills or explore the capabilities of AWS for large-scale language models, this course is an excellent investment.
In summary, ‘GenAI and LLMs on AWS’ is an outstanding resource that equips you with the tools and knowledge to effectively manage LLMs in production, boosting your AI projects’ performance, scalability, and reliability.
Enroll Course: https://www.coursera.org/learn/genai-llm-aws