It is a foundational-level certification. It is designed for people from a variety of backgrounds and experiences to showcase their understanding of AI and generative AI concepts, their ability to recognize opportunities that benefit from AI, and their knowledge on using AI tools responsibly.

Organizations recognize that taking advantage of AI and generative AI will require a broader skill set beyond programming. This includes professionals in marketing, sales, project and product management, HR, finance, accounting, and beyond. By earning this certification, non-IT professionals can feel greater confidence when identifying opportunities that are well-suited to AI, or when collaborating with technical teams. IT professionals with limited exposure to AI/ML and generative AI can make informed decisions while leveraging their core skills when building or managing AI solutions.

Read this trending article: Role Of AI In Cybersecurity: Protecting Digital Assets From Cybercrime

It is designed for individuals with at least one year of experience building, deploying, and maintaining AI and ML solutions on AWS. It is beneficial for people who want to demonstrate their ability to make AI models available for real-time usage. Scaling AI models for real-time usage allows businesses to serve more users or achieve accurate results. This requires proficiency in ML engineering that covers aspects like optimizing model performance, managing computational resources efficiently, updating model versions seamlessly, and securing an AI solution. This certification validates an individual’s skills in developing, deploying, maintaining, and monitoring AI, ML, and generative AI solutions. These are essential skills to influence business objectives like serving millions of users daily, reducing costs of building AI models, faster response time, and rapid model training.

According to a study commissioned by AWS, organizations are willing to pay a premium for professionals with AI skills. This includes salaries that are up to 47% higher for IT workers, 43% higher for those in sales and marketing, and 42% higher for those in finance, among other fields.

Free and low-cost training programs to prepare for certifications

In line with Amazon’s “AI Ready” initiative to provide free AI skills training to 2 million people globally by 2025, you can get started learning and preparing to earn an AWS Certification now with new digital training available on AWS Skill Builder, our digital learning center.
For training resources for AWS Certified AI Practitioner, you can take advantage of eight free courses, including Fundamentals of Machine Learning and Artificial IntelligenceExploring Artificial Intelligence Use Cases and Application, and Essentials of Prompt Engineering. You will learn about real-world use cases for AI, ML, and generative AI; how to select a foundation model (FM); concepts and techniques involved in crafting effective prompts; and more. Meanwhile, for training resources for AWS Certified Machine Learning Engineer – Associate, register for an AWS Skill Builder subscription to check out three new courses wherein you can learn about concepts including data transformation and techniques, feature engineering, and strategies for bias mitigation and data security. More courses will become available throughout the summer.
[To share your insights with us as part of editorial or sponsored content, please write to]