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Machine Learning Engineer
AWS Technical Essentials introduces you to essential AWS services and common solutions. The course covers basic AWS concepts related to data processing, database, storage, network, monitoring and security.
You will begin working in AWS through hands-on course experiences. The course covers the concepts necessary to improve your understanding of AWS services so that you can make informed decisions about solutions that meet business needs.
During the course, you will learn how to build, compare and apply highly available, fault-tolerant, scalable and cost-effective cloud solutions.
Module 1: Introduction to Amazon Web Services
- Introduction to the AWS Cloud
- Security in the AWS Cloud
- Hosting of the employee directory application in AWS
- Practical exercise: Introduction to AWS Identity and Access Management (IAM)
Module 2: AWS Compute
- "Compute as a service" in AWS
- Introduction to Amazon Elastic Compute Cloud
- Life cycle of Amazon EC2 instances
- AWS container services
- What is serverless?
- Introduction to AWS Lambda
- Choosing the right compute service
- Practical exercise: Starting the employee directory application on Amazon EC2
Module 3: AWS Networking
- Network operation in AWS
- Introduction to the Amazon Virtual Private Cloud (Amazon VPC)
- Amazon VPC routing
- Amazon VPC Security
- Practical exercise: Creating a VPC and relaunching the corporate directory application in Amazon EC2
Module 4: AWS Storage
- AWS storage types
- Amazon EC2 instance storage and Amazon Elastic Block Store (Amazon EBS)
- Object storage with Amazon S3
- Choose the right storage service
- Practical exercise: Creating an Amazon S3 bucket
Module 5: Databases
- Exploring databases in AWS
- Amazon Relational Database Service
- Specially created databases
- Introduction to Amazon DynamoDB
- Selecting the right AWS database service
- Practical exercise: Implementing and managing Amazon DynamoDB
Module 6: Monitoring, optimization and serverless
- Monitoring
- Optimization
- Alternative serverless employee directory application architecture
- Practical exercise: Configuring high availability for your application
- Describe terminology and concepts related to Amazon Web Services
- Navigating in the AWS Management Console
- Explain the key concepts of AWS security measures and AWS Identity and Access Management (IAM)
- Differentiation between various AWS computing services, including Amazon Elastic Compute Cloud (Amazon EC2), AWS Lambda, Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic Kubernetes Service (Amazon EKS)
- Understand AWS database and storage offerings, including Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB and Amazon Simple Storage Service (Amazon S3)
- Exploring the AWS network services
- Access to and configuration of Amazon CloudWatch monitoring functions
These courses are conducted in a live, full-day session. Each course consists of theoretical parts with live demonstrations and practical lab exercises. The courses take place via Zoom. Please also refer to the course description for specific details regarding prerequisites and topics covered.
This course is aimed at the following job roles:
- Solution Architect
- Cyber Security
- Developer
- CloudOps
- DevOps
- Data analytics
- Machine Learning & AI
- Financial Builder
It is recommended that participants have the following prerequisites:
- IT experience and basic knowledge of common data center architectures and components (servers, networks, databases, applications, etc.).
- No previous practical knowledge of cloud computing or AWS required
Attendance of the following course or equivalent knowledge is required:
- AWS Cloud Practitioner Essentials
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