Generative AI is a rapidly growing field with the potential to revolutionize many industries. It can be used to create realistic images, text, and even music. AWS offers a number of courses that can help you learn about generative AI and how to use it in your own projects.
What is generative AI?
Generative AI is a type of artificial intelligence that can create new content. This content can be in the form of images, text, or even music. Generative AI is often used to create realistic content that is indistinguishable from human-created content.
Here are the top 7 generative AI courses by AWS:
Generative AI on AWS Essentials (Business)
This course is designed for AWS Partner customer-facing professionals. It covers the fundamentals of generative AI, explores essential customer use cases and personas, and illustrates how generative AI on AWS empowers customers to transform and revitalize their businesses.
How can generative AI be used in business?
Generative AI can be used in a variety of ways in business. Some of the most common use cases include:
Creating realistic images: Generative AI can be used to create realistic images for use in marketing materials, product design, or even virtual reality.
Generating text: Generative AI can be used to generate text for use in customer service chatbots, marketing copy, or even creative writing.
Creating music: Generative AI can be used to create music for use in movies, TV shows, or even video games.
What are the benefits of using generative AI on AWS?
AWS offers a number of benefits for businesses that want to use generative AI. These benefits include:
Scalability: AWS is a scalable platform, which means that businesses can easily scale their generative AI workloads as needed.
Cost-effectiveness: AWS is a cost-effective platform, which means that businesses can save money on their generative AI workloads.
Ease of use: AWS makes it easy to use generative AI. Businesses can use AWS services to build and deploy generative AI models without having to have deep technical expertise.
Generative AI for Executives
This is a 13-minute fundamental generative AI course that helps C-suite executives understand how generative AI can help address their business challenges and drive business growth.
The benefits of using generative AI for executives
As an executive, there are a number of benefits to using generative AI. These benefits include:
Increased productivity: Generative AI can help you to automate tasks, which can free up your time to focus on other important matters.
Improved decision-making: Generative AI can help you to make better decisions by providing you with insights that you would not be able to obtain on your own.
New business opportunities: Generative AI can help you to identify new business opportunities that you would not have been aware of otherwise.
How to get started with generative AI for executives
If you are interested in learning more about generative AI and how to use it for your business, I encourage you to check out the following resources:
The Generative AI for Executives course: This course is designed to help you understand the basics of generative AI and how it can be used to benefit your business.
The AWS Generative AI service: This service provides you with the tools you need to build and deploy generative AI models on AWS.
The Generative AI blog: This blog provides you with the latest news and information about generative AI.
Amazon CodeWhisperer – Getting Started
Amazon CodeWhisperer is a new AI coding companion that helps developers write code more efficiently and quickly. CodeWhisperer uses machine learning to generate code suggestions based on your comments and existing code.
What is Amazon CodeWhisperer?
Amazon CodeWhisperer is a general purpose, machine learning-powered code generator that provides you with code recommendations in real time. It is available for a variety of programming languages, including Python, Java, and JavaScript.
How to get started with Amazon CodeWhisperer
To get started with Amazon CodeWhisperer, you will need to:
Create an AWS account.
Install the AWS Toolkit for your IDE.
Enable CodeWhisperer in the AWS Toolkit.
Using CodeWhisperer to write code
Once you have enabled CodeWhisperer, you can start using it to write code. To do this, simply start typing your code and CodeWhisperer will generate suggestions based on your comments and existing code.
Best practices for using CodeWhisperer
Here are some best practices for using CodeWhisperer:
Use clear and concise comments.
Use consistent naming conventions.
Use existing code as a starting point.
Be specific in your requests.
Amazon CodeWhisperer is a powerful tool that can help you write code more efficiently and quickly. By following the best practices outlined in this blog post, you can get the most out of CodeWhisperer and improve your coding productivity.
AWS Jam Journey – Build Using Amazon CodeWhisperer
AWS Jam Journey – Build Using Amazon CodeWhisperer is a hands-on and interactive training that helps DevOps professionals get practical experience building with Amazon CodeWhisperer through a series of challenges in a secure, sandboxed AWS environment.
What is AWS Jam Journey – Build Using Amazon CodeWhisperer?
AWS Jam Journey – Build Using Amazon CodeWhisperer is a hands-on and interactive training that helps DevOps professionals get practical experience building with Amazon CodeWhisperer through a series of challenges in a secure, sandboxed AWS environment.
The training is designed to help you learn how to use Amazon CodeWhisperer to:
Generate code suggestions based on your comments and existing code.
Iterate on code suggestions to create working code.
Integrate Amazon CodeWhisperer with your DevOps workflows.
What will you learn?
In this training, you will learn:
The basics of Amazon CodeWhisperer.
How to use Amazon CodeWhisperer to generate code suggestions.
How to iterate on code suggestions to create working code.
How to integrate Amazon CodeWhisperer with your DevOps workflows.
How to get started?
To get started with AWS Jam Journey – Build Using Amazon CodeWhisperer, you will need to:
Create an AWS account.
Sign up for the training.
Complete the prerequisites.
Start the training.
AWS Jam Journey – Build Using Amazon CodeWhisperer is a great way to learn how to use Amazon CodeWhisperer to improve your DevOps productivity. I encourage you to check out the training if you are interested in learning more about Amazon CodeWhisperer.
Generative AI Foundations on AWS
This is a free, 8-hour, on-demand technical deep-dive course that is specifically created for AI modeling experts. It covers the fundamentals of generative AI, as well as how to use AWS services to build and deploy generative AI models.
Generative AI is a rapidly growing field with the potential to revolutionize many industries. It can be used to create realistic images, text, and even music. AWS offers a number of services that can help you learn about generative AI and how to use it on AWS.
The benefits of using generative AI on AWS
AWS offers a number of benefits for businesses that want to use generative AI. These benefits include:
Scalability: AWS is a scalable platform, which means that businesses can easily scale their generative AI workloads as needed.
Cost-effectiveness: AWS is a cost-effective platform, which means that businesses can save money on their generative AI workloads.
Ease of use: AWS makes it easy to use generative AI. Businesses can use AWS services to build and deploy generative AI models without having to have deep technical expertise.
The Generative AI Foundations on AWS course
The Generative AI Foundations on AWS course is a free, 8-hour, on-demand technical deep-dive course that is specifically created for AI modeling experts. It covers the fundamentals of generative AI, as well as how to use AWS services to build and deploy generative AI models.
How to get started with Generative AI on AWS
If you are interested in learning more about generative AI and how to use it on AWS, I encourage you to check out the Generative AI Foundations on AWS course. This course will give you the foundation you need to start building your own generative AI models on AWS.
Generative AI is a powerful tool that can be used to create new and innovative applications. By learning about generative AI and how to use it on AWS, you can unlock the potential of this technology to transform your business.
Generative AI with Amazon SageMaker
This course teaches you how to use Amazon SageMaker to build and deploy generative AI models. It covers a wide range of topics, including data preparation, model training, and model evaluation. It can be used to create realistic images, text, and even music. Amazon SageMaker is a fully managed machine learning platform that makes it easy to build, train, and deploy generative AI models.
What is Amazon SageMaker?
Amazon SageMaker is a fully managed machine learning platform that makes it easy to build, train, and deploy machine learning models. SageMaker provides a variety of features that make it well-suited for generative AI, including:
A variety of pre-trained generative models: SageMaker provides a variety of pre-trained generative models that you can use to get started quickly.
A powerful training framework: SageMaker provides a powerful training framework that you can use to train your own generative models.
A simple deployment framework: SageMaker provides a simple deployment framework that you can use to deploy your generative models to production.
How to use Amazon SageMaker for generative AI
To use Amazon SageMaker for generative AI, you can follow these steps:
Choose a pre-trained generative model or train your own model.
Configure the training job.
Run the training job.
Deploy the model.
Examples of generative AI applications
Generative AI can be used for a variety of applications, including:
Creating realistic images: Generative AI can be used to create realistic images for use in marketing materials, product design, or even virtual reality.
Generating text: Generative AI can be used to generate text for use in customer service chatbots, marketing copy, or even creative writing.
Creating music: Generative AI can be used to create music for use in movies, TV shows, or even video games.
Generative AI is a powerful tool that can be used to create new and innovative applications. By learning how to use Amazon SageMaker for generative AI, you can unlock the potential of this technology to transform your business.
Generative AI with PyTorch
This course teaches you how to use PyTorch to build and deploy generative AI models. It covers a wide range of topics, including data preparation, model training, and model evaluation.
PyTorch is a popular open-source machine learning framework that can be used to build and train generative AI models.
What is PyTorch?
PyTorch is an open-source machine learning framework that is based on the Torch library. Torch is a popular deep learning library that is used for research and production. PyTorch is a good choice for generative AI because it is easy to use and it provides a variety of features that are well-suited for this type of work.
How to use PyTorch for generative AI
To use PyTorch for generative AI, you can follow these steps:
Import the necessary libraries.
Load the data.
Define the model.
Train the model.
Generate new content.
Examples of generative AI applications
Generative AI can be used for a variety of applications, including:
Creating realistic images: Generative AI can be used to create realistic images for use in marketing materials, product design, or even virtual reality.
Generating text: Generative AI can be used to generate text for use in customer service chatbots, marketing copy, or even creative writing.
Creating music: Generative AI can be used to create music for use in movies, TV shows, or even video games.
Generative AI is a powerful tool that can be used to create new and innovative applications. By learning how to use PyTorch for generative AI, you can unlock the potential of this technology to transform your business.
These are just a few of the many generative AI courses that are available from AWS. If you are interested in learning more about generative AI, I encourage you to check out these courses. They offer a great way to learn the fundamentals of generative AI and how to use it in your own projects.
In addition to the courses listed above, AWS also offers a number of other resources for learning about generative AI. These include documentation, blog posts, and white papers. You can also find a number of community forums and Slack channels where you can ask questions and get help from other generative AI enthusiasts.
The field of generative AI is constantly evolving, so it is important to stay up-to-date on the latest trends. By taking advantage of the resources that AWS offers, you can learn about generative AI and how to use it to create innovative new applications.
