AWS Training and Certification Blog

Generative artificial intelligence (AI) has emerged as a game-changer, revolutionizing industries and reshaping the way we approach problem-solving. As this technology continues to evolve, it becomes crucial for professionals to stay ahead of the curve and equip themselves with the necessary skills and knowledge. At AWS, we understand the importance of continuous learning and upskilling, which is why we offer a comprehensive suite of training and certification opportunities in the field of generative AI.

While embarking on a cloud career can seem daunting for beginners, it’s an achievable goal with the right mindset and resources. This blog features insights from learners who transitioned into cloud roles through AWS Education Programs. They offer valuable tips such as taking advantage of hands-on learning opportunities, earning certifications, building a strong online brand, tapping into learning communities, and more. Their advice provides a helpful guide for aspiring cloud professionals looking to jumpstart their cloud journey.

In August, we launched 46 new digital training products on AWS Skill Builder including 28 new digital courses, 2 new AWS Builder Labs, and 1 new and 1 updated Learning Plan. We also launched one new Classroom training for executives, Generative AI for Executives, and updated the advanced course, Data Warehousing on AWS. Registration and exam prep materials are now available for two new AWS Certifications: AWS Certified AI Practitioner and AWS Certified Machine Learning Engineer – Associate.

Learn how AWS Distribution Partners and their downstream partners provide small and medium business customers with the essential solutions and cloud proficiency to achieve their transformation goals. Plus discover steps you can take today to ensure success by adopting digital training from the experts at AWS.

Partners with AWS Certifications have demonstrated their understanding of AWS best practices, architectures, and services. This enables them to recommend the most suitable solutions that align with the customer’s requirements and business goals. Learn 5 best practices for encouraging certification pursuits and retaining top talent, along with real-world examples from AWS Partners who have successfully adopted these methods.

Registration is now open for the beta exams of the AWS Certified AI Practitioner and the AWS Certified Machine Learning Engineer – Associate. This blog shares guidance from Das and Taylor about these new certifications and how they can help you to future-proof your career.

As organizations seek to harness artificial intelligence to drive innovation and competitive advantage, executives need to be well-versed in the fundamentals of generative AI. Our new classroom course, Generative AI for Executives, is meticulously designed to give c-suite and senior business leaders from technical and non-technical business units the knowledge and tools necessary to lead generative AI initiatives effectively.

In July, we launched 25 new digital training products on AWS Skill Builder, including 12 new free digital courses, five new AWS Builder Labs, and two new exciting game-based learning offerings: AWS SimuLearn and AWS Cloud Quest: Generative AI.

Are you looking to break into the growing field of cloud computing? Prepare for an exciting new career with Amazon Web Services’ latest entry-level professional certificate on Coursera, the AWS Cloud Support Associate Professional Certificate. This seven-course online training program provides the foundational skills needed to launch a career as an AWS Cloud Support Associate in four months or less.

Developing cloud skills and expertise across the workforce is a critical first step as organizations continue their cloud journeys. While cloud maturity is an iterative process, effective training and enablement is crucial for the success of this transformative journey. This blog highlights how organizations can upskill their workforce across five key cloud initiatives – migration, modernization, generative AI and artificial intelligence/machine learning (AI/ML), security and resiliency, and cost optimization.