Amazon partnered with Code.org for the “AI Ready” commitment, which is a set of generative AI courses to teach generative artificial intelligence skills. Amazon wants to provide two million people across the globe with the skills needed for lucrative generative AI-focused careers by 2025. In addition, Amazon is offering cloud-computing skills training.

Free generative AI training courses for professionals and beginners

The following generative AI training courses are available for free from Amazon via AWS Skill Builder for developer and technical audiences:

  • Foundations of Prompt Engineering.
  • Low-Code Machine Learning on AWS.
  • Building Language Models on AWS.
  • Amazon Transcribe Getting Started.
  • Building Generative AI Applications Using Amazon Bedrock.

The following generative AI training course is available for free from Amazon for beginners and students:

  • Generative AI Learning Plan for Decision Makers via AWS Skill Builder.

Employers seek AI skills

According to Indeed, generative AI skills are one of the highest-paying tech skills employers are looking for as of February 2024. Deep learning, a type of machine learning, made the list as well. Salesforce India pointed out in March 2024 that AI creates new types of tech jobs, including:

  • Prompt engineering.
  • AI training.
  • Sentiment analysis.
  • And more.

SEE: Generative AI skills can bring in the highest salaries in the tech industry today, according to Indeed. (TechRepublic)

AI Ready courses add to existing library of AI and cloud resources

These courses come in addition to Amazon’s existing free cloud computing classes. Amazon has a goal of giving 29 million people the right skills for cloud computing careers by 2025.

Amazon offers over 100 free and low-cost training courses and other resources on AI, ML, and generative AI through AWS Skill Builder and AWS Educate. Taking some of these courses alongside generative AI training could broaden one’s understanding of how different AWS and Amazon capabilities work together, as well as contextualizing their places in the larger world of AI and ML technologies.

This article has been updated since initial publication.

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