As companies have increasingly shifted workloads to the public cloud, cloud computing has shifted from a good capability in the enterprise to a core capability. This change requires a new set of skills to design, deploy, and manage applications in cloud computing.
The most Natural provider and as a market leader in the cloud computing space, AWS is considered a point of reference and a thought leader for all its competitors. In 2019, AWS continues to lead public cloud adoption, and it currently offers 11 AWS Certifications covering both basic and specialty cloud computing topics.
Being AWS certified suggests that you have the most demanding (and profitable) skills validated as one of the most recognizable entities in cloud computing. In the enterprise, certification reflects a shared understanding of a platform, a shared vocabulary and a certain level of cloud expertise that can trigger time for cloud projects.
Even when enterprises adopt multi-cloud strategies, this does not diminish the importance of AWS certification - quite the opposite. Continued strong financial performance, a constant stream of new services and a continued geographic expansion a sign that more is yet to come.
AWS certifications stand for their rigor and thoroughness in evaluating a candidate's skills, with an emphasis on hands-on experience and best practices. If you are already working with AWS, preparing for certification can help strengthen your knowledge by clarifying key concepts. If you are new to AWS, it can provide the knowledge and skills needed to work with AWS services and solutions down the road. For organizations looking for new recruits, AWS certifications validate the candidate's familiarity and knowledge of best practices in cloud architecture, management, and security.
In the enterprise, the main training material used to prepare for AWS certification is a valuable component in the company's own internal training path. As IT environments become more adapted and new skills are developed, a growing number of companies are building their own certification programs. Many of them are using vendor certification training paths regarding internal training materials to stand the certification track for their business needs.
CBitss Technologies also providing AWS Training in Chandigarh, it helps you to get AWS Certification and become an AWS certified.
With a full-time job and other commitments, it usually takes two months to invest in 80 hours of study. If you are completely new to AWS, we suggest approximately 120 hours or three months for preparation. Start with the core principles, and then move on to the Solution Architect Associate Learning Path.
AWS currently offers eleven certifications: one basic certification, three associate level certifications, two professional level certifications and three professional certifications. You can find a complete overview of all learning paths for the preparation of certifications on Cloud Academy's AWS certificate page.
AWS Certified Cloud Practitioner is the latest certification of AWS. This entry-level certification is designed to validate the overall understanding of the candidate of the AWS cloud.
Prepare for the Foundation Certification with Cloud Academy's Cloud Practitioner certification preparation for the AWS learning path.
The AWS Certified Solution Architect - Associate exam is designed for those who have some experience in the design of distributed applications. Candidates should be able to demonstrate their ability to design, manage and implement applications using tools and services on the AWS platform.
The AWS Certified Developer - Associate exam is about the development and maintenance of AWS-based applications. You need to know how to write real code that uses AWS software to access AWS applications from within your custom business applications.
AWS Certified SysOps Administrator - Associate Examination is the only certification that is fully geared toward a system administrator. Passing this exam requires both technical knowledge and conceptual knowledge of the operational aspects of the AWS platform. Previous experience as a Linux or Windows administrator would be a plus.
A professional AWS architect is one who can evaluate the needs of an organization and make architectural recommendations to implement and implement the application on AWS. Certified Solutions Architect Professional Certification requires a high level of technical skills and experience to design an AWS-based application.
DevOps Engineer certification is about provisioning, operating and managing applications on the AWS platform. This examination focuses heavily on continuous delivery (CD) and automation of processes, which are two fundamental concepts of the DevOps movement.
AWS Certified Big Data - Specialty certification is for those who have a background in data analytics and experience using AWS services for data data solutions.
AWS Certified Advanced Networking - The Specialty Certificate is designed to verify a candidate's skills and experience with respect to complex networking tasks at the scale of AWS and complex IT networking architectures. Candidates should have a background in implementing and implementing network solutions and have advanced knowledge of networking at AWS.
AWS Certified Security - Specialty certification covers topics that require security professionals and teams to master security fundamentals, follow best practices, and build in-depth knowledge of the specific services of the AWS platform. It is designed to validate your AWS knowledge in security topics such as infrastructure security, data protection and encryption, detection and access management, monitoring, incident response, and logging.
Alexa Skilled Builder - AWS Certified Alexa Skill Builder - Validates your technical expertise in creating, testing, and deploying Amazon Alexa skills. This exam is for anyone who plays a role as Alexa Skill Builder. Candidates must have at least six months of experience using the Alexa Skills Kit to build Alexa skills and be proficient in a programming language.
This certification enhances your capability to create, implement, and maintain machine learning solutions for a range of business problems. This exam is for someone who plays the role of development or data science. For intensive learning on MLS and / or AWS cloud, candidates must have one to two years of experience.
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