From Basic to Advanced Generative Artificial Intelligence on AWS
Embark on a transformative learning journey with the “Amazon Bedrock Masterclass: A Guide to Generative AI on AWS.” This comprehensive course is meticulously designed to equip you with the knowledge, skills, and practical expertise necessary to excel in the rapidly evolving domain of Generative Artificial Intelligence (AI) using Amazon’s robust Bedrock platform.
What you’ll learn
- Acquire a comprehensive understanding of Amazon Bedrock’s architecture and its integration with AWS services to deploy generative AI applications..
- Gain proficiency in utilizing the Amazon Bedrock API to access and interact with foundation models from various AI companies for generative tasks..
- Master the techniques of prompt engineering to effectively communicate with language models and obtain desired responses for various AI applications..
- Develop skills to customize, build, and scale generative AI applications using Amazon Bedrock, ensuring privacy and without managing infrastructure..
Course Content
- Introduction to Amazon Bedrock –> 5 lectures • 31min.
- Exploring Bedrock Features –> 7 lectures • 25min.
- Working with the Amazon Bedrock API –> 7 lectures • 1hr 8min.
- Advanced Features with Amazon Bedrock –> 4 lectures • 35min.
- Building Generative AI Applications with Bedrock –> 5 lectures • 27min.
- Best Practices and Pricing –> 4 lectures • 16min.
- Capstone Project and Final Exam –> 1 lecture • 4min.
Requirements
Embark on a transformative learning journey with the “Amazon Bedrock Masterclass: A Guide to Generative AI on AWS.” This comprehensive course is meticulously designed to equip you with the knowledge, skills, and practical expertise necessary to excel in the rapidly evolving domain of Generative Artificial Intelligence (AI) using Amazon’s robust Bedrock platform.
The course commences with a robust introduction to Amazon Bedrock, providing a solid foundation to understand the platform’s capabilities and offerings. As a fully managed service on AWS, Amazon Bedrock simplifies the development of generative AI applications by providing access to high-performing foundation models from leading AI companies. This initial module sets the stage for the subsequent exploration and deep-dive into the myriad features that Amazon Bedrock offers, thus enabling a nuanced understanding and effective utilization of the platform. As you progress through the course, you’ll delve into the technical intricacies of working with the Amazon Bedrock API, a critical skill for leveraging the platform’s capabilities to the fullest. Your learning journey will then advance to exploring the advanced features of Amazon Bedrock, thus preparing you to handle complex generative AI projects.
The course then transitions to a practical approach, focusing on building generative AI applications with Bedrock. This module is designed to transition theoretical knowledge into practical expertise, enabling you to conceptualize, develop, and deploy generative AI applications effectively. Afterwards, the course underscores the importance of adhering to best practices while also providing a thorough understanding of the pricing model of Amazon Bedrock, thereby enabling informed and cost-effective decision-making.
The culmination of this masterclass is the Capstone Project, where you’ll apply the amassed knowledge and skills in a real-world project, showcasing your competency in utilizing Amazon Bedrock for generative AI applications. This hands-on project is an opportunity to integrate and apply the learning from each module in a practical scenario, thus solidifying your understanding and readiness to tackle real-world generative AI challenges using Amazon Bedrock.
The “Amazon Bedrock Masterclass: A Guide to Generative AI on AWS” is more than just a course; it’s a pathway to mastering generative AI on one of the most sophisticated platforms. The structured modules, practical insights, and the capstone project collectively ensure a rich, engaging, and rewarding learning experience, propelling you towards becoming a proficient practitioner of generative AI on AWS.