Oversikt over relevante kurs innen Amazon Web Services (AWS) i Sør-Trøndelag

In this introductory course, you will learn about AWS products, services, and common solutions. You will learn the fundamentals of identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.Course Objectives  In this course, you will learn: Terminology and concepts related to the AWS platform How to navigate the AWS Management Console Key concepts of AWS security measures and AWS Identity and Access Management (IAM)   Hands-On Activity This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.   Key AWS Services Included Foundational services: Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS) Database services: Amazon DynamoDB and Amazon Relational Database Service (RDS) Management services: AWS Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor   Course outline Introduction and History of AWS AWS Foundational Services: EC2, VPC, S3, EBS AWS Security, Identity, and Access Management: IAM AWS Databases: RDS, DynamoDB AWS Management Tools: Auto Scaling, CloudWatch, Elastic Load Balancing, Trusted Advisor   Instruktører Anders BjørnestadAnders Bjørnestad har utviklet løsninger på AWS plattformen siden 2010 og har jobbet med alt fra cloud-strategi til å designe og implementere tekniske løsninger på denne plattformen. Anders er en av initiativtakerne til AWS User Groups i Oslo, Bergen, Trondheim og Stavanger og han mottok nylig fra AWS hedersbeviset “AWS Community Hero”, som en av få i Europa.   [-]

This course covers the fundamentals of building IT infrastructure on the AWS platform. Students learn how to optimize the AWS Cloud by understanding how AWS services fit into cloud-based solutions. In addition, students explore AWS Cloud best practices and design patterns for architecting optimal IT solutions on AWS, and build a variety of infrastructures in guided, hands-on activities. The course also covers how to create fledgling architectures and build them into robust and adaptive solutions. Course objectives In this course, you will learn to: Make architectural decisions based on AWS architectural principles and best practices Leverage AWS services to make your infrastructure scalable, reliable, and highly available Leverage AWS Managed Services to enable greater flexibility and resiliency in an infrastructure Make an AWS-based infrastructure more efficient to increase performance and reduce costs Use the Well-Architected Framework to improve architectures with AWS solutions   Delivery method This course will be delivered through a mix of: Instructor-led Training (ILT) Hands-on Labs This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.   Course Outline Day 1 Core AWS Knowledge Designing Your Environment Making Your Environment Highly Available Forklifting an Existing Application onto AWS Day 2 Event-Driven Scaling Automating and Decoupling Your Infrastructure Designing Storage at Scale Hosting a New Web Application on AWS Day 3 The Four Pillars of the Well-Architected Framework Disaster Recovery and Failover Strategies Troubleshooting Your Environment Large-Scale Design Patterns and Case Studie   [-]

In this course, you will learn about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. We will show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We will also teach you how to create Big Data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leverage best practices to design Big Data environments for security and cost-effectiveness. Course Objectives  In this course, you will learn to: Fit AWS solutions inside a Big Data ecosystem Leverage Apache Hadoop in the context of Amazon EMR Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming Improve the ease of use of Amazon EMR by using Hadoop User Experience (Hue) Use in-memory analytics with Apache Spark on Amazon EMR Choose appropriate AWS data storage options Identify the benefits of using Amazon Kinesis for near real-time Big Data processing Leverage Amazon Redshift to efficiently store and analyze data Comprehend and manage costs and security for a Big Data solution Identify options for ingesting, transferring, and compressing data Leverage Amazon Athena for ad-hoc query analytics Use AWS Glue to automate extract, transform, and load (ETL) workloads Use visualization software to depict data and queries using Amazon QuickSight   Delivery method This course will be delivered through a mix of: Instructor-led Training (ILT) Hands-on Labs   Hands-on activity This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises   Course Outline Day 1 Overview of Big Data Ingestion Big Data streaming and Amazon Kinesis Using Kinesis to stream and analyze Apache server logs Storage Solutions Querying Big Data using Amazon Athena Using Amazon Athena to analyze log data Introduction to Apache Hadoop and Amazon EMR Day 2 Using Amazon Elastic MapReduce Storing and Querying Data on DynamoDB Hadoop Programming Frameworks Processing Server Logs with Hive on Amazon EMR Streamlining Your Amazon EMR Experience with Hue Running Pig Scripts in Hue on Amazon EMR Spark on Amazon EMR Processing New York Taxi dataset using Spark on Amazon EMR Day 3 Using AWS Glue to automate ETL workloads Amazon Redshift and Big Data Visualizing and Orchestrating Big Data Visualizing Managing Amazon EMR Costs Securing Big Data solutions Big Data Design Patterns   [-]

In this course, you will build on concepts introduced in Architecting on AWS. You will learn how to build complex solutions that incorporate data services, governance, and security on the AWS platform. You will also learn about specialized AWS services, including AWS Direct Connect and AWS Storage Gateway, that support hybrid architecture, and you will learn about best practices for building scalable, elastic, secure, and highly available applications on AWS. Course Objectives This course teaches you how to: Apply the AWS Well-Architected Framework Manage multiple AWS accounts for your organization Connect an on-premises data center to the AWS Cloud Discuss billing implications of connecting multi-region VPCs Move large data from an on-premises data center to AWS Design large data stores for the AWS Cloud Understand different architectural designs for scaling a large website Protect your infrastructure from distributed denial of service (DDOS) attacks Secure your data on AWS with encryption Design protection of data at rest and data in transit Enhance the performance of your solutions Select the most appropriate AWS deployment mechanism   Delivery method:This course is delivered through a mix of: Instructor-led Training (ILT) Web-Based Training (WBT) Hands-on Labs   Hands-on activity:This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.   Course Outline:  Day 1 Review of Architecting for the Cloud Best Practices and the AWS Well-Architected Framework AWS Account Strategies Advanced Networking Architectures Deployment Management on AWS Day 2 Designing Large Datastores Moving Large Datastores into AWS Big Data Architectures Designing for Large Scale Applications Day 3 Building Resilience into Your Architecture Data Encryption and Key Management in AWS Securing Data on AWS Designing for Performance     [-]

In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios. Course objectives: In this course, you will learn to: Use the principal concepts and practices behind the DevOps methodology Design and implement an infrastructure on AWS that supports one or more DevOps development projects Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS Use AWS CodeStar to manage all software development activities in one place Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (ECS), and Amazon Elastic Container Registry (ECR), and decide which technology best fits a given scenario Use Amazon EC2 Systems Manager for patch management Leverage automated testing in different stages of a CI/CD pipeline Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues   Delivery Method Instructor-Led Training (ILT) Hands-on Labs   Course outline Day 1 Introduction to DevOps AWS Command Line Interface Introduction to DevSecOps Deployment Strategies and Developer Tools Day 2 Infrastructure as Code Deep Dive into AWS Developer Tools Automated Testing on AWS Day 3 Configuration Management AMI Building and Amazon EC2 Systems Manager Containers: Docker and Amazon ECS DevOps Customer Case Studies Course Wrap-Up [-]

In this course, you will learn how to create automatable and repeatable deployments of networks and systems on the AWS platform. We will explore the AWS features and tools related to, and best practices for, configuration and deployment. Course objectives: In this course, you will learn to: Use standard AWS infrastructure features such as Amazon Virtual Private Cloud (Amazon VPC), Amazon Elastic Compute Cloud (Amazon EC2), Elastic Load Balancing (ELB), and AWS Auto Scaling from the command line Use AWS CloudFormation and other automation technologies to produce stacks of AWS resources Build virtual private networks with Amazon VPC Deploy Amazon EC2 instances using command line calls and troubleshoot common problems with instances Monitor the health of Amazon EC2 instances and other AWS services Manage identity, AWS permissions, and security in the AWS Cloud Manage resource consumption in an AWS account using tags, Amazon CloudWatch, and AWS Trusted Advisor Determine the best strategy for creating reusable Amazon EC2 instances Configure a set of Amazon EC2 instances that launch behind a load balancer Troubleshoot a basic AWS CloudFormation stack definition   Course Content Day 1 System Operations on AWS Overview Networking in the Cloud Computing in the Cloud Day 2 Storage and Archiving in the Cloud Monitoring in the Cloud Managing Resource Consumption in the Cloud Day 3 Configuration Management in the Cloud Creating Scalable Deployments in the Cloud Creating Automated and Repeatable Deployments   Delivery Method This course will be delivered through a mix of: Instructor-Led Training (ILT) Hands-on Labs   [-]

In this course, you will learn how to use the AWS SDK to develop secure and scalable cloud applications. We will explore how to interact with AWS using code and discuss key concepts, best practices, and troubleshooting tips. Course objectives: In this course, you will learn to: Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript. Interact with AWS services and develop solutions by using the AWS SDK. Use AWS Identity and Access Management (IAM) for service authentication. Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores. Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions Use Web Identity Framework and Amazon Cognito for user authentication. Use Amazon ElastiCache to improve application scalability. Use containers in the development process. Leverage the CI/CD pipeline to deploy applications on AWS   Delivery Method This course is delivered through a mix of: Instructor-led Training Hands-on Labs Course outline: This course covers the following concepts: Introduction to AWS Introduction to Developing on AWS Introduction to AWS Identity and Access Mangement Developing Storage Solutions with Amazon S3 Developing Flexible NoSQL Solutions with Amazon DynamoDB Developing Solutions with AWS Lambda Developing Solutions with Amazon API Gateway Developing Solutions with Amazon SQS and Amazon SNS Developing Event-Driven Solutions with AWS Step Functions Caching Information for Scalability Getting Started with Containers Developing Secure Solutions Deploying Secure Solutions Deploying Applications [-]

This course demonstrates how to efficiently use AWS security services to stay secure in the AWS Cloud. The course focuses on the security practices that AWS recommends for enhancing the security of your data and systems in the cloud. The course highlights the security features of AWS key services including compute, storage, networking, and database services. You will also learn how to leverage AWS services and tools for automation, continuous monitoring and logging, and responding to security incidents. Hands-On Activity This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises. Course objectives:  In this course, you will learn to: Assimilate and leverage the AWS shared security responsibility model Architect and build AWS application infrastructures that are protected against the most common security threats Protect data at rest and in transit with encryption Apply security checks and analyses in an automated and reproducible manner Configure authentication for resources and applications in the AWS Cloud Gain insight into events by capturing, monitoring, processing, and analyzing logs Identify and mitigate incoming threats against applications and data Perform security assessments to ensure that common vulnerabilities are patched and security best practices are applied   Course Content Day 1 Intro Welcome and introductions Introduction to Security on AWS  Identifying entry points on AWS Ways to access the platform IAM policies Securing entry points Incident response  Lab - cross-account authentication  Security Considerations - Web Applications Security points in an AWS web application environment Analyse a three-tier application model and identify common threats Assess environments to improve security  Application Security Securing EC2 instances Assess vulnerabilities with Inspector Apply security in an automated way using Systems Manager Isolate a compromised instance  Lab - Assessing Security with Inspector and Systems Manager  Securing Networking Communications - Part 1 Apply security best practices to VPC Implement an ELB device as a protection point Protect data in transit using certificates   Day 2 Data Security Protect data at rest using encryption and access controls AWS services used to replicate data Protect archived data  Security Considerations: Hybrid Environments Security points outside of a VPC Common DoS threats  Monitoring and Collecting Logs on AWS Monitor events and collect logs with CloudWatch Use Config to monitor resources AWS-native services that generate and collect logs  Lab - Server Log Analysis Part 1 - collect logs  Processing Logs on AWS Stream and process logs for further analysis AWS services used to process logs from S3 buckets  Lab - Server Log Analysis Part 2 - analyse logs  Securing Networking Communications - Part 2 Identify AWS services used to connect on-premise to AWS Data protection between on-premise and AWS Securely access VPC resources in other accounts  Out-Of-Region Protection Use Route 53 to isolate attacks Implement WAF to protect applications Use CloudFront to deliver content securely Protect applications using Shield   Day 3 Account Management on AWS Manage multiple accounts Use identity providers / brokers to acquire access to AWS services  Lab - AWS Federated Authentication with ADFS  Security Considerations: Serverless Environments How to secure data in a serverless environment Use Cognito to authorize users Control API access with API Gateway Use AWS messaging services securely Secure Lambda functions  Lab - Monitor and Respond with Config and Lambda  Secrets Management on AWS Manage key and data encryption with KMS Describe how CloudHSM is used to generate and secure keys Use Secrets Manager to authenticate applications  Lab - Using KMS  Security Automation on AWS Deploy security-oriented AWS environments in a reproducible manner Provide management and control of IT services to end-users in a self-serve manner  Lab - Security Automation on AWS with Service Catalog  Threat Detection and Sensitive Data Monitoring Threat detection and monitoring for malicious or unauthorized behaviour Leverage machine learning to gain visibility into how sensitive data is being managed in the AWS Cloud   Delivery Method This course is delivered through a mix of: Instructor-Led Training (ILT) Hands-On Labs Hands-On Activity This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.   [-]

In this classroom course, you will learn the benefits of cloud computing and how a cloud strategy can help you meet your business objectives. This course explores the advantages of cloud computing for your business and the fundamentals of AWS, including financial benefits. This course also introduces compliance and security concepts to help you consider the AWS platform within your cloud computing strategy.Course Objectives  By attending this course, you will be able to: Identify the value and advantages of the AWS Cloud. Recognize the valuable ways that the AWS platform can be used. Understand the robust security capabilities, controls, and assurances in place to maintain data and network security. Articulate the financial impact the AWS Cloud can have on an organization’s cost management, while minimizing the risks associated with consumption-based pricing models.   Course outline: Getting started with the cloud Leveraging AWS for competitive advantages Cloud economics Security and compliance Migrating to the cloud [-]