New AWS Generative AI Applications Professional Certificate on Coursera and edX

Today, AI is quickly becoming as essential as email or spreadsheets. Whether you’re a marketing lead looking to enhance content creation, a project manager seeking to automate workflows, or a business analyst looking to mine insights from data, AI expertise is quickly becoming a career differentiator.

AI, however, can be intimidating. Where do I start? What tools should I use? And how does generative AI fit into the picture? The big challenge is this: How do you develop AI skills that you can use in your daily work, especially if you don’t have a deep technical background?

Some of these questions may be answered by taking our new program, AWS Generative AI Applications, available now on Coursera and edX. This program breaks down the blockers to generative AI adoption, helping people understand the scope and function of our AI services, and the best part? No coding experience required!

Unlike coding courses, this certificate program focuses on practical application: how you can use your know-how to solve the most pressing problems. The program emphasizes hands-on experience with Amazon Bedrock and PartyRock, teaching you prompt engineering techniques that are immediately applicable. You’ll gain skills by working through business scenarios, helping you apply what you learn directly to your day-to-day work if you are employed, or at least providing engaging stories and examples to tell during job interviews.

The program places emphasis on responsible AI implementation, teaching you to understand AI ethics and governance. You’ll learn best practices for data security and privacy, along with cost optimization strategies for AI by learning how to implement them with a responsible and effective mindset.

Beyond technical skills, the program touches on business innovation, teaching you to convert business ideas into generative AI applications. You’ll learn how to move from proof-of-concept to production and integrate AI into existing workflows, helping build valuable skills that organizations seek when implementing AI solutions.

This certificate consists of three courses, each building upon the previous one to create a holistic learning program.

• The first course is called AI Fundamentals and the Cloud (Coursera and edX), and is a good starting point for beginners. It teaches core concepts and services and gets you building something quickly. You’ll develop a solid foundation in AI principles while gaining practical experience with user-friendly tools like PartyRock.
• The second course is AWS Services for AI Solutions (Coursera and edX), and it goes deeper into AWS AI services. You’ll get hands-on with Amazon Bedrock and learn about real-world solution architectures. This course is the connective tissue between courses one and three.
• Bringing Ideas to Life Using AI (Coursera and edX) is the professional certificate’s final course and it focuses on application development through project-based learning. You’ll learn implementation and scaling strategies that prepare you to work with generative AI. This course connects everything you’ve learned, showing you how to bring generative AI solutions from the ideation stage to reality.

The program merges theory with practical application, ensuring you understand both the “why” and “how” of AI implementation. Through 3 self-paced labs, you’ll work directly with AWS services, gaining confidence through real-world practice. You’ll learn to navigate the AWS Management Console, work with Amazon Bedrock foundation models, and develop generative AI applications by using Amazon Q Developer both inside the AWS Command Line Interface and an integrated development environment.

With a commitment of 5-7 hours per week, most learners complete the program in 2-3 months. The self-paced format allows you to learn on your schedule, and each module and course build upon the previous one, creating a structured yet flexible learning experience.

Looking to transform your skills with AWS generative AI tools? Enroll now, and take part in solving the problems of today and tomorrow. Join Raf Lopes (Principal Cloud Technologist), Alex Galvin (Senior Cloud Technologist) and Oksana Hoeckele (Cloud Technologist) in this fun and interesting learning journey.