ACTE Training offers hands-on, remote instructor-led training classes at our more than 300 locations.You can attend these same live classes from your home/office computer via our Remote Classroom Instruction (RCI™). Choose from blended on-demand and instructor-led learning options ,we provide even after-course instructor coaching benefit.
50 percent of IT professionals have confidence that AI and machine learning will play an enormous role in the adoption of cloud computing. Since AWS is the leading public cloud computing service that is widely adopted by organizations both large and small, then it also follows that learning AWS has become a necessity for IT professionals who want to secure their future careers.
Amazon Web Services, popularly known as AWS Certification in the market, is a secure cloud service platform. It offers various functions for a business to scale up and grow such as computing power, content delivery, database storage and many other functionalities.
AWS Certification is a good career move for those who want to explore and grow in the field of cloud computing. With the help of AWS Certification , an individual, company, enterprises can get a cloud computing platform. For starting a career in AWS Certification as a fresher, first of all, you need to undergo training for AWS Certification .
Yes, you can get a job even when you are an AWS Certification fresher. But make sure you know all about AWS Certification Cloud. However, only learning about the AWS Certification cloud is not enough to get your hands on a good job.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for AWS Certification . Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
AWS Certification is primarily an Infrastructure as a Service (IaaS) Cloud Platform. You need not know any programming to be successful in AWS Certification “mostly”. However, all of that depends on exact role you get into. If you are writing scripts/programs for automation/control of AWS Certification services, programming knowledge is a must.
- Having basic knowledge of operating systems like Windows OS, Linux etc
- As Visualization play a major role in AWS Certification you need to have the understanding of it
- Networking is an essential skill as all operations on cloud platform involves it.
- Understanding the difference between the Public and Private cloud
- Last but not the least, you must have basic command over coding
- AWS Certification , Python or C# Most architects have a software development background.
- Networking.
- Data storage fundamentals.
- Security foundations.
- AWS Certification service selection.
- Cloud-specific patterns and technologies.
- Communication.
Our courseware is designed to give a hands-on approach to the students in AWS Certification . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students time and commitment.
The future of AWS Certification is bright. Infact, it's the future of modern day computing. Cloud computing, machine learning, IOT, etc are some of the domains which have a lot to offer in the near future.
Depending on how much experience you already have, it’s possible to learn AWS Certification in 3 days with our instructor-led courses comprising of 18 hours of training. If you’re looking to gain AWS Certification certification this will take a little longer, as you’ll also need to prepare for the exam.
- Customization.
- Flexibility & Scalability.
- PaaS Offerings.
- Security.
- Scheduling.
- Recovery.
- Consistency.
- Global Architecture.
AWS specialty certifications
Typically, cloud computing certifications follow a pretty familiar setup; you’ve got Foundational, Associate, and Professional certifications. As far as Simon is concerned, there are two that should help get you noticed: “The two I would recommend would be AWS Certified Developer – Associate and AWS Solutions Architect – Associate.”
AWS also offers three Specialty certification paths. These paths are designed to build on and validate advanced skills in specific technical areas and can really make your resume stand out—especially if you’re looking to focus on a particular area of AWS.
The three specialty paths are:
AWS Certified Advanced Networking – Speciality
- Exam readiness: Advanced Networking – Specialty (intermediate) – 9 hours digital study
- AWS Certified Advanced Networking – Specialty (certification) – 170 minute exam
- Optional: AWS Certified Cloud Practitioner (certification) – 4.5 hour exam
AWS Certified Big Data – Specialty
- Data Analytics Fundamentals (foundational) – 3.5 hours digital study
- Big Data on AWS (intermediate) – 1 day of classroom-based training
- Exam readiness: Big Data – Specialty (intermediate) – 1 day of classroom-based training
- AWS Certified Big Data – Specialty (certification) – 170 minute exam
- Optional: AWS Certified Cloud Practitioner (certification) – 4.5 hour exam
AWS Certified Security – Specialty
- AWS Security Fundamentals (foundational) – 2 hours digital study
- Architecting on AWS (intermediate) – 3 days of classroom-based training
- Security Engineering on AWS (intermediate) – 3 days of classroom-based training
- Exam Readiness: AWS Certified Security – Specialty (intermediate) – 4 hours of classroom-based training
- AWS Certified Security – Specialty (certification) – 170 minute exam
- Optional: AWS Certified Cloud Practitioner (certification) – 4.5 hour exam
Containers
Almost two-thirds of respondents cited containers as an important skill for AWS professionals to master. Expertise and experience with the likes of Docker, Jenkins, and Kubernetes were all ranked highly.
Offering a standardized way to package an app’s code, configurations, and dependencies into a single object, containers are becoming increasingly popular, allowing businesses to create hybrid applications, package batch processing jobs, and scale machine learning models quickly.
AWS’s container services are widely used—Amazon EC2 currently one of the most popular container tools on the market—making containers a great thing to get familiar with.
Programming Languages
Through speaking with thousands of AWS professionals, we discovered that in the next 12 months they expect JavaScript (51%), GoLang (23%), and Python (22%) to be the most in-demand languages for AWS professionals to be using.
Python is great for AWS Lambda environments because of the incredible spin-up times. When it comes to spinning containers, it’s significantly quicker than Java or C#.
Python also has a vast library of third-party modules that can help ease interaction with other platforms or languages. It’s also incredibly simple and easy to learn, which can help avoid overcomplicated architecture.
As a Software Engineer, Pick’s Simon Rogers has a keen eye for useful programming languages.
AWS Popular tool which rules market are,
Jenkins
Wildly popular, Jenkins has clearly earned its place as the leading open-source automation server. It provides more than 1,400 plugins, covering virtually any platform build, packaging, and deployment-management tasks you might need to perform. With Jenkins, you can enforce deployment workflows, convert CLI scripts to Jenkins jobs, set up build pipelines in the Blue Ocean UI, and take advantage of a pipelines plugin to run parallel or sequential jobs.
Language support includes: Python, Ruby, Java, Android, C/C++
Developer tool and partner integrations include: Atlassian, JFrog, and PagerDuty
Kubernetes
Originally developed by Google, Kubernetes is a container orchestration platform for automating the deployment, scaling, and management of containerized applications. Kubernetes makes it easy to deploy and operate applications based on a microservice architecture for almost any cloud. It does so by creating an abstraction layer on top of a group of hosts, so that development teams can deploy their applications and let Kubernetes manage things like controlling resource consumption by application or team, evenly spread application loads across their host infrastructure, and automatically load balance requests across the different instances of an application.
Language support includes: Go, Python, Java, JavaScript, C Sharp
Developer tool and partner integrations include: CoreOS, Docker, and JFrog