Top 7 Generative AI Courses on AWS to Learn in 2023

Generative AI is one of the most exciting and promising fields of artificial intelligence. It refers to the ability of machines to create new and original content, such as images, text, audio, or video, based on existing data or models. Generative AI can unlock new possibilities for innovation, creativity, and problem-solving across various domains and industries.

Amazon Web Services (AWS) is a leading provider of cloud computing services and solutions, including generative AI. In this article, we will introduce you to the top 7 generative AI courses by AWS that you can enrole today. These courses will help you understand the concepts, principles, and applications of generative AI, as well as how to use AWS services and tools to build your own generative AI solutions.

Course 1: Amazon CodeWhisperer – Getting Started

Amazon CodeWhisperer is a new service that helps developers code faster and better with the help of generative AI. Amazon CodeWhisperer is an AI coding companion that can generate code snippets, suggest code completions, fix code errors, refactor code, write code comments, and more. Amazon CodeWhisperer can also learn from your coding style and preferences and adapt to your project requirements.

If you want to learn how to use Amazon CodeWhisperer to boost your productivity and quality as a developer, you can enroll in this free, self-paced course. In this course, you will learn about the features and capabilities of Amazon CodeWhisperer, how to set up your development environment with AWS Cloud9 or Visual Studio Code, how to start using Amazon CodeWhisperer with Python or Java projects, and how to evaluate the performance and accuracy of Amazon CodeWhisperer.

Course 2: Generative AI for Executives

Generative AI is not only relevant for technical professionals but also for business executives. Generative AI can help address various business challenges and opportunities, such as enhancing customer experience, creating new products and services, improving operational efficiency, generating insights and recommendations, and more.

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If you are a business executive who wants to learn about the potential and value of generative AI for your organization, you can enroll in this free, video-based course. In this course, you will learn about the basics of generative AI concepts and principles, such as foundation models, large language models, computer vision models, audio and music models, etc. You will also learn about the use cases and examples of generative AI across different industries and domains. Moreover, you will learn about the best practices and considerations for adopting generative AI in your organization.

Course 3: Generative AI Foundations on AWS

Foundation models are a type of generative AI models that can learn from large amounts of data across different modalities (such as text, image, audio) and generate new content or perform various tasks based on the learned representations. Foundation models include popular models such as GPT-3, BERT, DALL-E, and more.

If you want to learn how to pre-train, fine-tune, and deploy foundation models on AWS, you can enroll in this free, hands-on course. In this course, you will learn about the theory, mathematics, and techniques behind foundation models, how to use AWS services such as Amazon SageMaker, Amazon Bedrock, and Amazon S3 to prepare training datasets, train foundation models, and deploy them on the cloud. You will also learn how to use reinforcement learning with human feedback to improve the performance of foundation models, how to apply design patterns such as retrieval augmented generation and chained dialogue to build generative AI applications, and how to use advanced techniques such as stable diffusion and prompt engineering to optimize foundation models.

Course 4: Generative AI with Large Language Models

Large language models (LLMs) are a type of foundation models that can learn from massive amounts of text data and generate natural language content or perform various natural language tasks based on the learned representations. LLMs include popular models such as GPT-3, BERT, T5, and more.

If you want to learn how to use LLMs for your generative AI projects, you can enroll in this paid, three-week course. In this course, you will learn how to select the right LLM for your use case, how to train, fine-tune, and deploy LLMs on AWS using Amazon SageMaker and Amazon Bedrock, how to evaluate the quality and diversity of LLM outputs, and how to use LLMs for various applications such as text summarization, text generation, question answering, sentiment analysis, and more.

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Course 5: PartnerCast – Build Using Amazon CodeWhisperer

PartnerCast is a series of courses that are designed for AWS partners who want to learn new skills and services that can help them deliver better solutions for their customers. PartnerCast courses are interactive and hands-on, and are led by AWS experts and instructors.

If you are an AWS partner who wants to learn how to use Amazon CodeWhisperer to build generative AI solutions for your customers, you can enroll in this paid, interactive course. In this course, you will learn how to use Amazon CodeWhisperer to generate code snippets, suggest code completions, fix code errors, refactor code, write code comments, and more. You will also learn how to integrate Amazon CodeWhisperer with other AWS services such as Amazon Lex, Amazon Comprehend, Amazon Polly, and more. You will also get a chance to work on a real-world project that involves building a generative AI chatbot using Amazon CodeWhisperer and other AWS services.

Course 6: AWS Jam Journey – Build Using Amazon CodeWhisperer

AWS Jam Journey – Build Using Amazon CodeWhisperer is a training course that teaches you how to use Amazon CodeWhisperer, a generative AI service that helps you write code faster and better. Amazon CodeWhisperer is an AI coding companion that provides you with real-time code recommendations based on your existing code and comments. You can use CodeWhisperer to generate code snippets, comments, functions, and even fix security issues in your code. CodeWhisperer supports multiple programming languages, such as Python, Java, C#, and JavaScript.

In this course, you will learn how to use CodeWhisperer with AWS Toolkit for Visual Studio Code, a plugin that integrates AWS services into your development environment. You will also get hands-on experience with CodeWhisperer through a series of challenges in a secure, sandboxed AWS environment. You will be able to see how CodeWhisperer can improve your productivity, code quality, and creativity.

This course is designed for DevOps professionals who want to use generative AI to boost their coding skills. It is available with an AWS Skill Builder subscription, which gives you access to interactive learning experiences on AWS services and solutions. To enroll in this course, you need to have a basic understanding of AWS and programming concepts. You can find more information about this course on the AWS website.

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Course 7: AWS Partner: Generative AI on AWS Essentials (Business)

AWS Partner: Generative AI on AWS Essentials (Business) is a course that teaches you the basics of generative AI, a branch of artificial intelligence that can create new content or data from existing ones. Generative AI can be used for various applications, such as text generation, image synthesis, music composition, and more. In this course, you will learn about the benefits and challenges of generative AI, the key customer use cases and personas, and how AWS can help you leverage generative AI to reinvent your business.

You will also get an overview of the AWS generative AI services and solutions, such as Amazon CodeWhisperer, AWS DeepComposer, and AWS Generative AI Innovation Center. This course is designed for AWS Partner customer-facing professionals who want to understand the value proposition and business opportunities of generative AI on AWS. It is available as a free, self-paced digital course that takes about 2 hours to complete. You can find more information and enroll in this course on the AWS website.

By learning generative AI from AWS, you can benefit from the following advantages:

  • You can access the latest and most advanced generative AI techniques and technologies, such as foundation models, large language models, computer vision models, audio and music models, and more.
  • You can scale your generative AI projects with the most cost-effective and secure cloud infrastructure, powered by AWS Trainium, AWS Inferentia, and NVIDIA GPUs.
  • You can learn from the best practices and guidance of AWS experts and instructors, who have deep knowledge and experience in generative AI.
  • You can choose from a variety of courses that suit your level, background, and interest, whether you are a beginner or an expert, a technical or a non-technical professional.

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Conclusion

Generative AI is a powerful and exciting field of artificial intelligence that can help you create new and original content or perform various tasks based on existing data or models. AWS is a leading provider of generative AI services, models, and courses that can help you learn and apply generative AI effectively and responsibly.

AWS offers a diverse range of courses that cater to different levels, backgrounds, and interests of learners, whether they are technical or non-technical professionals. These courses also teach you how to use AWS services and tools to scale your generative AI projects with the most cost-effective and secure cloud infrastructure. We hope you enjoyed this article and found it useful. Thank you for reading!