Amazon AWS Courses

You can gain six months of foundational AWS Cloud and industry knowledge when you get a certification as an AWS Certified Cloud Practitioner. Three associate certifications can give you one year of experience in resolving issues and integrating solutions using the AWS Cloud. These are AWS Certified Solutions Architect, AWS Certified Developer, and AWS Certified SysOps Administrator. There are two professional certifications that provide two years of experience in creating, running, and troubleshooting solutions with the AWS Cloud. Those certifications are AWS Certified Solutions Architect and AWS Certified DevOps Engineer. Six specialty certifications are available to help you gain technical AWS Cloud experience in specialty domains. Those are AWS Certified Advanced Networking, AWS Certified Data Analytics, AWS Certified Security, AWS Certified Machine Learning, AWS Certified Alexa Skill Builder, and AWS Certified Database.

AWS core services are AWS Compute, AWS Storage, AWS Database, AWS Networking, AWS Management, AWS Security, and AWS Application Integration. The EC2 service enables streamlined scalability for virtual machines. Simple Storage Services (S3) are object-based for cloud storage. On-demand scalability and blazing performance are available with the DynamoDB NoSQL database option. In-memory caches are created with ElastiCache. The Virtual Private Cloud (VPC) is provided for routing tables, gateways, subsets, and security mechanisms. Key services can be monitored through CloudWatch, and cloud databases can be hosted with the Relational Database Service (RDS). API calls to AWS are tracked by CloudTrail. Users, groups, and roles can be created with Identity and Access Management (IAM) service. Email or SMS notifications can be received through Simple Notification Service (SNS). AWS Application Integration enables queuing messages and decoupling components through the Simple Queue Service (SQS).

Serverless architecture has a software design blueprint with third-party hosting for applications. This is known as serverless computing of function as a service (FaaS). This innovative serverless architecture removes the need for server software and developer management of hardware. Three key benefits of serverless architecture are decreased costs since you only pay for what you use, increased developer productivity, and improved scalability. With FaaS, applications are broken down into smaller sections to enhance the observation process. AWS is continually experimenting and innovating its services. As a pioneer in the cloud computing industry, AWS launched AWS Lambda, the serverless computing space, in 2014. This innovative technology enabled code operation without having to provision or manage servers. AWS innovation created the machine learning service Amazon SageMaker. Developers without previous experience can easily utilize this machine learning technology.

Amazon Web Services holds the lead position of these platforms, with Microsoft Azure ranked second and Google Cloud Platform ranked third. AWS offers a vast array of tools and continues to grow exponentially through innovation. However, they offer a complex price structure and are focused more on a public cloud platform than private cloud or hybrid cloud options. Microsoft Azure has more substantial Software-as-a-Service (SaaS) capabilities compared to AWS and Google Cloud. Google has been an innovator in artificial intelligence, machine learning, deep learning, and data analytics for some time. This continual innovation has enabled them to effectively integrate AI into their cloud platform. They have also provided customers with more discount incentives than the other two platforms. They are in third place right now because they were the last of these three to create a cloud platform and have been more focused on technology than business operations.

Cloud computing is the delivery of on-demand computing resources over the Internet. These resources include data storage, processing power, applications, physical servers, virtual servers, development tools, networking capabilities, and more. Cloud computing platforms help businesses build their complete infrastructure in a distributed fashion on the Internet instead of in their in-house data center. This offloads the costs of maintaining a company's own infrastructure to a cloud provider who will bill for only what they use. Cloud platforms offer elasticity to a business so that they can scale services based on workload. Virtualization in a cloud environment enables cloud platforms to provide more value by dividing physical hardware into virtual devices. The distributed nature of the cloud gives every user a low-latency connection, whether at the office or on the road.