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What is VLAB Works?

For numerous years, developers of embedded devices have relied on simulation as a useful tool. However, the preference has often leaned towards direct hardware interaction due to the simulator's shortcomings in terms of speed, precision, and cost-effectiveness. VLAB Works has transformed the traditional simulation landscape by unveiling Virtualization Based Development, which provides a novel approach to the design and creation of embedded products. With VLAB Tools and an extensive array of Virtual Platforms at your disposal, you can harness advanced techniques and functionalities that have traditionally been reserved for desktop software developers leveraging virtualization, empowering you to develop cutting-edge embedded solutions. Imagine a virtual environment that enables a comprehensive agile workflow, where you can completely define, design, implement, validate, optimize, and support your new embedded product without the need for any physical hardware. This groundbreaking method not only facilitates a fully automated software-driven pathway but also integrates product prototyping, simulation, testing, measurement, and analysis at every phase of development, thereby significantly boosting both efficiency and accuracy. Ultimately, this approach represents a pivotal shift in how embedded product development can be approached in a rapidly evolving technological landscape.

What is AWS Self-Paced Labs?

Immerse yourself in hands-on experience within a vibrant AWS setting, leveraging a wide array of AWS services to confront real-world cloud obstacles. By adhering to comprehensive guides, you can gain a thorough understanding of a specific service, work through various use cases, or prep effectively for AWS Certification. Completing a lab can provide you with valuable insights into an AWS service in a mere 15 minutes. The organized learning paths lead you through multiple labs, helping you to learn how to integrate related AWS services seamlessly. Upon finishing a quest, you will earn a Quest Badge, which you can proudly showcase on your resume, personal website, or LinkedIn profile. Whether you are just starting with AWS or looking to keep up with the newest services, these introductory labs offer a quick and effective method to grasp essential concepts. Discover these well-regarded introductory labs that cater to various skill levels. Further develop your skills with labs that range from beginner to advanced and expert tiers. By participating in a quest—a carefully structured collection of labs—you can gain mastery over a specific AWS scenario at your own pace, culminating in the acquisition of a badge that highlights your accomplishments on professional platforms. Moreover, engaging in this hands-on learning approach not only enhances your expertise but also significantly boosts your confidence in navigating the expansive AWS cloud ecosystem, making you more adept in your professional journey.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ASTC

Date Founded

2006

Company Location

Australia

Company Website

vlabworks.com

Company Facts

Organization Name

Amazon Web Services

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/training/self-paced-labs/

Categories and Features

Categories and Features

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