8 Amazon’s Free Courses to Learn and Master Artificial Intelligence

In "Learn AI for Free with Amazon," we dive into a curated collection of educational resources designed to accommodate learners at every stage.

Introduction

Artificial intelligence (AI) is transforming the world in unprecedented ways. From self-driving cars to smart assistants, AI is everywhere and changing how we live, work, and play. But how can you learn AI and join this exciting field?

You might think that learning AI requires expensive courses, advanced degrees, or coding skills. But that’s not true. Thanks to Amazon, you can learn AI for free with their online courses, tools, and platforms. Whether you are a beginner or an expert, you can find something that suits your needs and interests.

In this article, I will introduce you to some of the free AI courses that Amazon offers, and show you how to get started with them.

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What is Generative Artificial Intelligence

Generative AI is a branch of AI that can create new content, such as images, text, music, or code, from scratch or based on existing data. For example, you might have seen the amazing images generated by DALL-E, an AI system that can draw anything you ask it to.

In this course, you will learn how models like DALL-E work, and what are the potential applications and challenges of generative AI. You will also explore some of the ethical and social implications of this technology, such as privacy, bias, and creativity.

This course is suitable for anyone who wants to get an overview of generative AI, and does not require any prior knowledge or coding skills.

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Generative AI Learning Plan for Decision Makers

If you are a decision maker who wants to leverage generative AI for your business or organization, this course is for you. You will learn how to identify and scope generative AI projects, and what are the best practices and frameworks for implementing them. You will also learn how to adopt responsible AI policies and principles, and how to mitigate the risks and challenges of generative AI.

This course is designed for leaders, managers, and executives who want to understand the strategic value and impact of generative AI, and how to align it with their goals and vision. You do not need any technical or coding skills to take this course.
You can access the course here: Generative AI Learning Plan for Decision Makers.

https://techovedas.com/explained-what-the-hell-is-generative-a

What is Amazon CodeWhisperer

Amazon CodeWhisperer is a tool that can generate code in multiple languages, such as Python, Java, C#, and more, based on natural language inputs. For example, you can ask CodeWhisperer to “create a function that returns the sum of two numbers”, and it will generate the corresponding code for you. You can also use CodeWhisperer as a pair programming partner, and get suggestions and feedback on your code.

In this course, you will learn how to use CodeWhisperer to create and improve your code, and what are the benefits and limitations of code generation. You will also learn how to integrate CodeWhisperer with other Amazon tools and services, such as AWS Lambda, Amazon Lex, and Amazon Comprehend.

This course is ideal for anyone who wants to learn how to code or enhance their coding skills with the help of AI. You will need some basic coding knowledge and experience to take this course.

Foundations of Prompt Engineering

Prompt engineering is the art and science of crafting prompts to communicate with AI systems, such as language models, chatbots, or voice assistants. A prompt is a natural language input that specifies the desired behavior or output of the AI system. For example, you can prompt GPT-3, a powerful language model, to write a poem, summarize a text, or answer a question.

In this course, you will learn the fundamentals of prompt engineering, and how to create effective and efficient prompts for different tasks and domains. You will also learn some advanced techniques for more fine-grained control and customization of your prompts, and how to tailor them for your specific conversational AI needs.

This course is perfect for anyone who wants to learn how to interact with AI systems using natural language, and how to optimize their performance and quality. You will need some basic natural language processing knowledge and skills to take this course.

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Low-Code Machine Learning on AWS

Machine learning (ML) is a subset of AI that enables computers to learn from data and make predictions or decisions. For example, you can use ML to classify images, detect faces, recommend products, or forecast sales. However, building ML models can be complex and time-consuming, especially if you do not have coding skills or data science expertise.

In this course, you will learn how to use AWS, Amazon’s cloud computing platform, to build and deploy ML models without writing any code. You will learn how to ingest, normalize, clean, and label data for ML models, and how to use Amazon SageMaker, a service that simplifies ML development and deployment, to train and test your models. You will also learn how to integrate your trainable models into your applications, such as web or mobile apps.

This course is great for anyone who wants to learn how to use ML for their projects or problems, and does not have coding skills or data science background. You will need some basic data analysis and ML concepts to take this course..

Building Language Models on AWS

Language models are AI systems that can generate or understand natural language, such as text or speech. For example, you can use language models to write essays, translate languages, or transcribe audio. Language models are trained on large amounts of text or speech data, and can learn the patterns and rules of natural language.

In this course, you will learn how to build your own language models on AWS, using distributed training and fine-tuning techniques. You will learn how to use Amazon S3, a storage service, to store and access your data, and how to use Amazon EC2, a compute service, to run your training jobs. You will also learn how to fine-tune existing language models, such as GPT-3, to improve their relevancy and accuracy for your specific domain or task.

This course is suitable for anyone who wants to learn how to create and customize their own language models, and has some coding skills and natural language processing experience. You will need some advanced data analysis and ML knowledge to take this course.
You can access the course here: Building Language Models on AWS.

Amazon Transcribe Getting Started

Amazon Transcribe is a service that can automatically transcribe speech to text, using deep learning and natural language processing. For example, you can use Amazon Transcribe to convert audio files, such as podcasts, interviews, or lectures, to text, and analyze them for insights or actions. You can also use Amazon Transcribe to integrate speech into your contact centers, systems, or applications.

In this course, you will learn how to use Amazon Transcribe to transcribe audio and have it automatically formatted, punctuated, and segmented. You will also learn how to customize Amazon Transcribe for your specific needs, such as adding vocabulary, speaker identification, or sentiment analysis.

This course is ideal for anyone who wants to learn how to use speech recognition for their projects or problems, and does not require any coding skills or natural language processing background. You will need some basic data analysis and speech processing concepts to take this course.
You can access the course here: Amazon Transcribe Getting Started.

Building Generative AI Apps on Amazon Bedrock

Amazon Bedrock is a platform that enables you to build next-generation applications with generative AI, using state-of-the-art models and tools, such as Codex, GPT-3, and large language models. For example, you can use Amazon Bedrock to create apps that can generate code, content, design, or music, based on your inputs and preferences.

In this course, you will learn how to use Amazon Bedrock to build generative AI apps, and how to optimize them for natural and engaging conversations. You will also learn how to use Amazon Bedrock’s features and functionalities, such as templates, widgets, components, and integrations, to enhance your app’s user experience and functionality.

This course is designed for anyone who wants to learn how to create and deploy generative AI apps, and has some coding skills and generative AI experience. You will need some intermediate data analysis and ML knowledge to take this course.
You can access the course here: Building Generative AI Apps on Amazon Bedrock.

Conclusion

AI is an exciting and fast-growing field, and you can be a part of it. With Amazon’s free AI courses, you can learn AI at your own pace, and apply it to your passions and goals.
I hope you enjoyed this article, and learned something new about Amazon’s free AI courses. If you are interested in learning more, you can visit Amazon’s AI Education page, where you can find more courses, resources, and opportunities to learn AI.
So what are you waiting for? Start learning AI today, and unleash your creativity and potential.

Editorial Team
Editorial Team
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