Besides revolutionizing the entire operational workflow of the business through improvements in resource management and the scaling of various services, cloud computing has also been described as one of the most advanced and innovative technologies of recent times. In the case of cloud service providers, Amazon Web Services is the leading service provider globally, providing cloud services for every business requirement.
The cloud computing AWS course ensures professionals are ready for the imminent growth of the field through both advanced and foundational concepts. These courses help individuals learn the most advanced techniques in designing, deploying, and managing cloud-scalable applications. Below is a detailed discussion of the topics typically covered in an AWS course.
Cloud Computing and Its Relation with AWS
To begin with, the learners are oriented with the meaning of cloud computing and the issues with conventional IT systems. The course portrays high cloud costs, infrastructure management, and poor scalability as problems and envisions cloud technology as the solution. This module covers cloud computing IaaS, cloud computing PaaS, and cloud computing SaaS, along with public cloud, private cloud, and hybrid cloud deployment models. Aspirants were also presented with the AWS global infrastructure, which consists of regions, availability zones, and edges. This module prepares learners for the AWS services.
Core AWS Services
Learners spend a lot of time working with the core services since these are the bones on which AWS rests.
- Compute Services: Virtual servers are housed on Amazon’s EC2 (Elastic Compute Cloud) system, allowing businesses to utilize EC2. Other compute services are used to balance elastic vortices of business, requests, and automatic traffic control, such as AWS Lambda and associated AWS Lambda systems.
- Storage Services: Understanding Object-Level Storage on Amazon S3, Block Storage on EBS, and Archiving on Amazon Glacier. Introduction to AWS Storage Gateway to facilitate hybrid repository systems.
- Networking Services: This includes Amazon VPC for creating isolated virtual networks, Route 53 for domain name services, and Direct Connect for secure private connections.
Managing User Identity and Describing User Access and Permissions
It involves sensitive information in cloud systems. AWS allows such action on sensitive information via Identity and Access Management (IAM). This topic teaches how users, groups, and roles are created and assigned permissions via policies. Learners are taught Multi-Factor Authentication (MFA) and the principle of least access as well. Learners need to learn how to effectively protect a cloud by implementing these permissions when managing users and resources.
Databases on AWS
Applications of today use databases, and AWS provides managed and unmanaged database services of every type. Learners explore Amazon RDS for SQL database management, DynamoDB for NoSQL data, Aurora for relational workloads, and Redshift for data warehousing. Additionally, ElastiCache enhances application performance by caching data. By the end of the module, learners will be able to select and maintain an optimal service database tailored to the goals of a business.
Security, Compliance, and Monitoring
A cloud computing certification also emphasizes compliance and monitoring, and focuses on the monitoring and maintenance of the system for safety and dependability. This module discusses the AWS Shared Responsibility Model, which outlines the responsibilities of AWS and the customer for maintaining system security. CloudTrail is used by learners to audit activities, CloudWatch is used to monitor performance, and AWS Config is used to track resources. Also, services like Key Management Service (KMS) and Secrets Manager are introduced to encrypt and control sensitive information.
DevOps and Automation
The rise of DevOps has led to the development of tools that automate deployment and infrastructure management on AWS. AWS CloudFormation lets you manage your infrastructure.
Serverless Architecture
Covering the major area of serverless computing entails the absence of the management of physical and virtual servers. Learners learn how to use AWS Lambda for on-demand execution of code. Other event-driven architecture services covered in this part of the course include Amazon SQS and EventBridge. This part equips learners with the skills to design serverless applications cost-effectively.
Big Data and Analytics
AWS is an instructor in data analytics, and courses normally comprise modules on big data solutions. Learners are acquainted with Amazon EMR for large-scale data processing. It also includes the use of Hadoop and Spark, and Kinesis for real-time data streaming. Athena for querying data stored in S3, and AWS Glue for data transformation. This, in turn, enables learners to perform advanced data interpretation and analysis.
Artificial Intelligence and Machine Learning
Many AWS courses have started to include sections on the AI and ML services. Learners gain experience with Amazon SageMaker, a service for developing and deploying ML models. They also learn about other services like Rekognition for analyzing images and videos, Lex for making chatbots, Polly for turning text into speech, and Comprehend for natural language processing. Even though this module is just an overview, it still shows how important AI is becoming to AWS.
Moving to the Cloud and Using Both Types of Cloud
It is very important to be able to move workloads from on-premises infrastructure to the cloud. Learners learn about the AWS Migration Hub, Snowball, and Snowmobile services. They also teach DMS. The course discusses hybrid cloud strategies and demonstrates how a business can utilize AWS in conjunction with its own systems to achieve greater flexibility and maintain smooth operations.
Paying Bills and Keeping Track of Costs
The cloud is definitely less expensive than keeping up a building. It permits to keep trail of how much they spend on the cloud.
Preparing for AWS Certification
AWS offers certifications for most of its courses. This includes AWS Certified Solutions Architect, Developer, SysOps Administrator, or DevOps Engineer. This is to help them study for these internationally recognized certifications. This makes certain learners equipped with more than just theoretical knowledge.
Conclusion
The cloud computing certification is extensive in nature and focused on various aspects of the industry. It contains topics ranging from the basics of a cloud to the advanced levels of DevOps, serverless, big data, and AI. Learners gain practical knowledge of AWS services. Most importantly, the course equips them to build secure, scalable, and economical solutions in a cloud-first world.
