Machine learning (ML) and artificial intelligence (AI) have been major areas of focus for Amazon for more than 25 years. ML is the foundation of many functions that consumers use on the platform. Amazon Web Services (AWS) recently revealed a number of new innovations to streamline the use of generative AI for customers.
A revolutionary technology called generative AI enables machines to produce content based on patterns found in data. Leading cloud provider AWS provides seven different courses that help both technical and non-technical people take advantage of the possibilities of generative AI. Explore these excellent AWS courses that are tailored to different skill levels in generative AI.
- Amazon CodeWhisperer: How to Begin
This is a free, self-paced online course that introduces you to Amazon CodeWhisperer. An AI coding companion called CodeWhisperer is intended to greatly increase developer productivity. In this course, students explore CodeWhisperer’s features and discover how to install and use it with their favorite coding languages. It gives developers the ability to do jobs faster and more effectively, which makes it a vital tool for programmers. - Amazon CodeWhisperer-Based AWS Jam Journey
Designed for DevOps workers, the “AWS Jam Experience – Build Using Amazon CodeWhisperer” is an interactive, hands-on training program. In a safe, sandboxed AWS environment, professionals can develop and explore Amazon CodeWhisperer as part of this unique training program that immerses them in real-world situations. By providing professionals with real-world experience, the training enables them to fully utilize Amazon CodeWhisperer. - AWS Foundations for Generative AI
An eight-hour, on-demand, free technical deep-dive course is available on AWS called Generative AI Foundations. It provides an in-depth grasp of Generative AI and is intended for specialists in AI modeling. This course provides learners with the fundamental conceptual underpinnings, real-world applications, and practical advice needed to pre-train, optimize, and launch state-of-the-art foundation models (FMs) on AWS and other platforms. Professionals may operate comfortably in the field of generative AI with this extensive understanding. - Generative AI Using Large Language Models
This thorough three-week course is free and was created in partnership with AWS, DeepLearning.AI, and machine learning pioneer Andrew Ng. It is especially made for engineers and data scientists who want to be the best at generative AI. Large language models (LLMs) can be chosen, trained, adjusted, and used in real-world scenarios with the help of this course. This training equips professionals to handle this part of AI efficiently, since language models are essential. - Use AWS PartnerCast to Create Generative AI
An extensive examination of Amazon’s generative AI services and capabilities on the AWS platform can be found in the podcast “AWS PartnerCast – Building Generative AI on AWS.” Services like Amazon Bedrock, Amazon CodeWhisperer, and Amazon SageMaker are covered in this course, which offers thorough insights into how businesses may use these technologies to help their customers. For professionals looking to keep current on the newest developments in generative AI, this course is crucial. - AWS Partner: Amazon Essentials (Business) – Generative AI
This training is designed for professionals that interact with customers as AWS Partners. Along with covering the foundations of generative AI, it delves into important client profiles and use cases. The course demonstrates how clients may restructure and reinvigorate their businesses with the help of generative AI on AWS. This training provides professionals who work with clients with the necessary expertise to assist them in successfully guiding customers toward the adoption of generative AI solutions. - Generative AI for Executives
A succinct, 13-minute basic training called “Generative AI for Executives” aims to teach C-suite executives how Generative AI may solve their company problems and spur expansion. Providing a high-level overview of generative AI, it makes the technology understandable and approachable for workers in leadership positions who are not technical.
