Category: Artificial Intelligence

In February, we launched 22 new digital training products on AWS Skill Builder, including new AWS Digital Classroom courses for annual subscribers, five new solution assignments to build generative AI skills via AWS Cloud Quest, and new prep courses for the AWS Certified Data Engineer – Associate exam.

Navigating the tech landscape without a traditional computer science background has been a challenging, yet rewarding, journey. Approximately two years ago, I was preparing to take the AWS Certified Cloud Practitioner exam. In this blog, I’ll share my non-traditional journey into a career in tech and how this path led me to explore the world of machine learning (ML), including advice and resources for those wanting to make the leap.

Artificial intelligence (AI) itself may not be new, but the field was thrown into a new level of overdrive in late 2022 when the launch of ChatGPT brought generative AI and large language models (LLMs) quickly and irrevocably into the public’s consciousness. In September 2023, AWS released Amazon Bedrock, a fully managed AI service that allows AWS developers to easily integrate generative AI models into their cloud projects. Learn how three IT professionals were all able to use AWS’s training resources to quickly come up to speed on Amazon Bedrock and put these technologies to use.

We’ve launched AWS Digital Classroom courses to help you build the same knowledge and skills that you would with instructor-led classroom offerings, but in a self-paced digital format. AWS Digital Classroom courses give you flexibility so you can learn where and when you want, at your own pace, and still benefit from an expert AWS instructor.

In January, we launched 24 new digital training products on AWS Skill Builder, including three new learning plans for Artificial Intelligence (AI) and Machine Learning (ML), and a Solutions Architect-focused version of AWS Card Clash. On Coursera, we launched courses 5-9 to round out the AWS Cloud Technology Consultant Professional Certificate. To learn DevOps-style best practices for building, training, and deploying ML models, check out the updated three-day AWS Classroom course, MLOps Engineering on AWS.

Imagine diving into the incredible world of artificial intelligence (AI), where anyone can become a generative AI builder. The journey begins with a curious mindset and an openness to the world of AI. This blog is your guide to transforming from a curious beginner to a proficient generative AI builder using AWS.

Dive into our 21 new digital training products on AWS Skill Builder, including seven new game-based and interactive trainings and certification preparation courses to help you build AWS Cloud expertise, from AWS Industry Quest: Manufacturing and Automotive, AWS Card Clash, to the new AWS Certified Cloud Practitioner exam prep resource, AWS Escape Room. You can also recertify for your AWS Certified Cloud Practitioner by playing the beta AWS Cloud Quest: Cloud Practitioner Recertify – no need to take an exam. We also have four new learning plans with digital badges to guide your knowledge-building, and for executives, we’ve added cloud education for Chief Human Resource Officers and for executives wanting to build their security know-how.

Leveraging AWS technology, working with AWS experts and upskilling its team with AWS Training, Orangetheory Fitness enabled rapid growth and the introduction of new workout types based on data from millions of members for personalized, smarter workouts.

From Japan to Indonesia, and further south to New Zealand, organizations and individuals from diverse communities are actively embracing and integrating the latest and most advanced technologies, such as artificial intelligence (AI), to improve their lives and work. AWS Training and Certification is helping them build the skills they need to innovate today and tomorrow.

As cloud technology prevails, the need for skilled professionals who can build and innovate on the cloud is paramount. AWS Cloud Institute is a virtual cloud-skills training program that will help you launch your career as a cloud developer in as little as one year – regardless of your technical background. Learn four reasons why the timing’s right to launch your cloud career with AWS Cloud Institute.