Category: Database

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.

In June, we launched 29 new digital training products on AWS Skill Builder, including 12 new generative AI digital courses (eight free and four paid), two new AWS Builder Labs, one new AWS Digital Classroom course, and a robust learning plan for aspiring machine learning engineers. For leaders, we launched a six-week generative AI learning experience in collaboration with the Udemy. We also announced two new AWS Certifications in AI and ML, with supporting exam prep materials.

In today’s digital landscape, NoSQL databases have emerged as mature and widely-adopted technologies, both on-premises and in the cloud. These powerful data management solutions have become indispensable for modern applications, offering a range of benefits that traditional relational databases often struggle to match. AWS Training and Certification offers a variety of digital, classroom, and hands-on training options to help you build your skills.

In May, we launched 33 new digital training products on AWS Skill Builder, including two new AWS Builder Labs, a new Digital Classroom course (Build Applications with AWS NoSQL Databases), a new Partner course (Generative AI on AWS Essentials (Business)), and localized versions of Exam Prep: AWS Certified Cloud Practitioner (CLF-C02), Exam Prep: AWS Certified DevOps Engineer- Professional (DOP-C02), and Exam Prep: AWS Certified Solutions Architect – Professional (SAP-C02).

Welcome to the March course launch blog. This month we launched eight new digital training products on AWS Skill Builder, including four new AWS Builder Labs and Generative AI Developer Kit. We also have three new, and one updated AWS Classroom Training courses—two of which have AWS Partner versions—including Developing Generative AI Applications on AWS. A reminder: registration is now open for the new AWS Certified Data Engineer – Associate exam. You can begin preparing with curated exam prep resources, created by the experts at AWS, on AWS Skill Builder.

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.

Amazon Q is a generative-AI powered assistant that helps customers answer questions, provide summaries, generate content, and complete tasks based on data in their company repository. It also exists as a learning tool for AWS users who want to ask questions about services and best practices in the cloud. Learn how you can use it to accelerate your learning of AWS services.

We are retiring three specialty AWS Certifications in April 2024: AWS Certified Data Analytics – Specialty, AWS Certified Database – Specialty, and AWS Certified: SAP on AWS – Specialty. Additionally, we are launching the AWS Certified Data Engineer – Associate certification, available to take March 12, 2024.

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.