5493 Software courses in Edinburgh delivered Online

Duration 2 Days 12 CPD hours This course is intended for This course is ideal for beginners and intermediate frontend developers who want to become full-stack developers. You will need some prior working knowledge of JavaScript and MongoDB as we skim over its basics and get straight to work. Overview At the end of this day, students should be able to: Understand the MEAN architecture Create RESTful APIs to complete CRUD tasks Build a blogging application with basic features Describe best practices to secure node applications Implement authentication and authorization Create simple animations using Angular Perform unit testing on Angular applications MongoDB, Express, Angular and Node.js Fundamentals begins by demystifying the MEAN architecture. You will review the features of the JavaScript technologies, frameworks, or libraries that make up a MEAN stack. You will also understand how to develop a RESTful API using Node.js, Express.js, and MongoDB Atlas. This course will enable you to discover how to build a blogging application using the MEAN stack. Next, you will learn about authentication using MEAN, and explore the features of Angular, such as pipes, reactive forms, modules and optimizing apps, animations and unit testing, and much more. By the end of the course, you will have all of the knowledge you need to become a pro at developing efficient web applications using JavaScript technologies. Introduction to the MEAN stack MEAN Architecture Demystification Getting Started with Node Activity 1: Creating an HTTP Server for a Blogging Application Understanding Callbacks, Event loop and EventEmitters in Node Understanding Buffers, Streams and Filesystem in Node Activity 2: Streaming Data to a File Developing RESTful APIs to perform CRUD operations Getting Started with RESTful APIs Getting started with MongoDB Atlas Activity 3: Connecting the Node Application with MongoDB Atlas Getting Started with Express Activity 4: Creating Express API Route and Controller Activity 5: Testing Fully Functional RESTful API Beginning Frontend Development with Angular CLI Getting Started with Angular CLI Using Components, Directives, Services, and Making HTTP Requests in Angular Activity 6: Designing the Frontend and Components for the Blogging Application Activity 7: Writing Services and Making HTTP Request Calls to an API Understanding Angular Forms and Routing Activity 8: Creating a Form Application Using the Reactive/Model-Driven Method Activity 9: Creating and Validating Different Forms Using the Template and Reactive Driven Method Activity 10: Implementing a Router for the Blogging Application Understanding MEAN Stack Security Node Security and Best Practices Node Application Authentication with JSON Web Token (JWT) Activity 11: Securing the RESTful API Node Application Authentication with Passport Activity 12: Creating a Login Page to Allow Authentication with Twitter Using Passport Strategies Angular Declarables, Bootstrapping, and Modularity Using Inbuilt Pipes, Custom Pipes, Custom Directives, and Observables Activity 13: Communicating Between Two Components Using Observable Angular Bootstrapping and Modularity Activity 14: Creating a Lazy Loaded Application Testing and Optimizing Angular Applications Angular Animations and Latest Angular Features Activity 15: Animating the Route Transition Between the Blog Post Page and View Post Page of the Blogging Application Optimizing Angular Applications Testing Angular Applications Activity 16: Performing Unit Testing on the App Root Component and Blog-Post Component Overview on the new features in Angular

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

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Duration 5 Days 30 CPD hours This course is intended for Candidates for this exam are IT professionals who perform installation, configuration, general local management and maintenance of Windows 10 core services. The Modern Desktop Administrator deploys, configures, secures, manages, and monitors devices and client applications in an enterprise environment. Overview After completing this course, learners should be able to: Prepare to install Windows 10. Install Windows 10. Configure Updates for Windows. Perform post-installation configuration tasks. Configure devices and drivers for Windows. Configure storage for Windows. Configure network settings in Windows. Configure remote management of Windows. Configure and manage applications in Windows. Configure Internet Explorer. Describe the methods for securing Windows 10. Configure account access and authentication. Configure file and folder permissions. Create security policies. Describe common threats and methods for mitigating against them. Use Windows troubleshooting and monitoring tools. Troubleshoot Windows installations. Troubleshoot application installation issues. Troubleshoot web browser settings. Troubleshoot Windows authentication. Troubleshoot hardware issues related to Windows machines. Develop an Operating System deployment and upgrade strategy. Understand the different methods of deployment. Understand on-premise and cloud-based solutions. Deploy and migrate desktops to Windows 10. Plan and configure Windows Update policies. Describe the benefits and capabilities of Azure AD. Manage users using Azure AD with Active Directory DS. Implement Windows Hello for Business. Configure conditional access rules based on compliance policies. Describe the various tools used to secure devices and data. Implement Windows Defender Advanced Threat Protection. This five day accelerated course will cover topics necessary to prepare attendees with the baseline knowledge to take the MD-100 and MD-101 exams for the Modern Desktop Administrator Associate certification. Installing Windows Introducing Windows 10 Installation Options Requirements for Windows Features Installation Process and Media Upgrading to Windows 10 Updating Windows Windows Servicing Model Updating Windows Applying Applications and Windows Updates Post-Instalation Configuration and Personalization Customize the Windows 10 UI Configure device specific settings such as power plans and mobile device options Use the Windows control panel and setting app to configure settings Describe using Windows PowerShell Configuring Peripherals and Drivers Managing Devices and Drivers Managing Printers Configuring Networking Configure IP Network Connectivity Implement Name Resolution Implement Wireless Network Connectivity Remote Access Overview Remote Management Configuring Storage Overview of storage options Using OneDrive Managing Disks, Partitions, and Volumes Maintaining Disks and Volumes Managing Storage Spaces Managing Apps in Windows 10 Providing Apps to Users Managing Universal Windows Apps The Windows Store Web browsers in Windows 10 Configuring Authorization and Authentication Using Security Settings to Mitigate Threats Configuring User Account Control Implementing Device Registration Authentication Configuring Data Access and Usage Overview of File Systems Configuring and Managing File Access Configuring and Managing Shared Folders Managing Security with Policies Configuring Advanced Management Tools Configuring Tenant Roles Managing Tenant Health and Services Supporting the Windows 10 Environment Troubleshooting Windows Troubleshooting Tools Troubleshooting the Windows OS Troubleshooting Windows Startup Troubleshooting Operating System Service Issues Troubleshooting Sign-In Issues Troubleshooting Files and Applications File Recovery in Windows 10 Application Troubleshooting Troubleshooting Hardware and Drivers Troubleshooting Device Driver Failures Overview of Hardware Troubleshooting Troubleshooting Physical Failures Planning an Operating System Deployment Strategy Overview of Windows as a service Windows 10 Deployment options Considerations for Windows 10 deployment Implementing Windows 10 Implementing Windows 10 by using dynamic deployment Implementing Windows 10 by using Windows Autopilot Upgrading devices to Windows 10 Managing Updates for Windows 10 Implementing Windows 10 by using dynamic deployment Implementing Windows 10 by using Windows Autopilot Upgrading devices to Windows 10 Device Enrollment Device management options Manage Intune device enrollment and inventory Configuring Profiles Configuring device profiles Managing user profiles Monitoring devices Application Management Implement Mobile Application Management (MAM) Deploying and updating applications Administering applications Managing Authentication in Azure Ad MANAGING AUTHENTICATION IN AZURE AD Managing Devices and Device Policies Microsoft Intune Overview Managing devices with Intune Implement device compliance policies Managing Security Implement device data protection Managing Windows Defender ATP Managing Windows Defender in Windows 10 Additional course details: Nexus Humans Windows 10 Modern Desktop Administrator Associate Bootcamp training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Windows 10 Modern Desktop Administrator Associate Bootcamp course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is designed for end users who are familiar with computers and who need to use the features and functionality of the Windows 10 operating system for personal and/or professional reasons. In this course, students will learn the features and functionality of the Windows 10 operating system for professional and personal use. Accessing Windows 10 Topic A: Navigate the Windows 10 Desktop Topic B: Manage the Start Menu Topic C: Sign In to Windows 10 Using Windows Apps and Desktop Applications Topic A: Navigate Desktop Applications Topic B: Navigate Windows Apps Features Topic C: Navigate the Cortana Virtual Assistant App Working with Files and Folders Topic A: Manage Files and Folders with File Explorer Topic B: Store and Share Files with OneDrive Topic C: Multitask with Open Apps Accessing the Internet using Microsoft Edge Topic A: Use Microsoft Edge Topic B: Customize Microsoft Edge Customizing the Windows 10 Environment Topic A: Customize the Start Screen Topic B: Customize the Desktop Installing and Removing Devices Topic A: Manage Printers Topic B: Manage Peripheral Devices Using Windows 10 Security Features Topic A: Manage Passwords and Privacy Levels Topic B: Use Windows Defender Additional course details: Nexus Humans Using Microsoft Windows 10 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Using Microsoft Windows 10 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for API developers. Overview Configure services in Cloud Manager for an on-premises installation of API Connect Create a catalog and Developer Portal Create consumer and provider organizations Create, test, and publish SOAP, REST, and GraphQL APIs Create message processing policies that transform API requests and responses Authorize client API requests with security definitions Enforce an OAuth flow with an OAuth 2.0 API security provider Perform advanced testing of APIs by using the Test tab and the Local Test Environment Define products and plans in API Manager Stage, publish, version, migrate, deprecate, and retire products and APIs Manage member roles and permissions in the Developer Portal Create an application and subscribe to a plan Review API analytics in the Developer Portal Review analytics dashboards and visualizations in API Manager Customize the Developer Portal This course teaches you how to configure a newly built API Connect 10 environment. You are taught how to configure a catalog with the gateway, portal, and analytics services and set up the environment for API development. You then define API interfaces according to the OpenAPI specification. You build SOAP and REST based APIs along with a GraphQL API. You assemble message processing policies and define client authorization schemes, such as OAuth 2.0, in the API definition. You verify the proper sequencing of policies in the assembly tester and further test your APIs in the new Test tab and Local Test Environment. After building and testing your APIs, you publish them and make them available on the Developer Portal. You manage all aspects of the provider organization in the API Manager user interface to create, publish, version, and retire API artifacts such as products, plans and APIs themselves. You also learn how to manage consumer organizations who use the APIs that are made available on the Developer Portal. You learn how to add members to the consumer organization that provides access to the APIs on the Developer Portal. You learn how the layout of the Developer Portal can be customized. Finally, you call the APIs on the secure gateway and you view the graphs and metrics of API usage. Course Outline Introduction to IBM API Connect V10 Exercise: Reviewing the API Connect development and runtime environments Managing catalogs and organizations Exercise: Managing catalogs and consumer organizations Defining APIs in API Manager Exercise: Defining an API that calls an existing SOAP service Defining a REST API in API Manager Exercise: Defining a REST API from a target service Assembling message processing policies Exercise: Assembling message processing policies Declaring client authorization requirements Creating an OAuth 2.0 provider Exercise: Implementing OAuth 2.0 security Testing and debugging APIs Exercise: Introduction to the Test tab Creating and testing a GraphQL API Exercise: Creating and testing a GraphQL API Testing an API in the Local Test Environment Exercise: Testing an API in the Local Test Environment Publishing and managing products and APIs Exercise: Define and publish an API product The product lifecycle Exercise: Subscribing and testing APIs in the Developer Portal Exercise: Managing and approving API Products Subscribing and testing APIs in the Developer Portal API Analytics Exercise: Calling an API on the gateway and monitoring API usage Customizing the Developer Portal Exercise: Customizing the Developer Portal Additional course details: Nexus Humans WD515G Create, Secure, and Publish APIs with IBM API Connect 10 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the WD515G Create, Secure, and Publish APIs with IBM API Connect 10 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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Duration 3 Days 18 CPD hours This course is intended for This course is intended for: System administrators and operators who are operating in the AWS Cloud Informational technology workers who want to increase the system operations knowledge. Overview In this course, you will learn to: Recognize the AWS services that support the different phases of Operational Excellence, a WellArchitected Framework pillar. Manage access to AWS resources using AWS Accounts and Organizations and AWS Identity and Access Management (IAM). Maintain an inventory of in-use AWS resources using AWS services such as AWS Systems Manager, AWS CloudTrail, and AWS Config. Develop a resource deployment strategy utilizing metadata tags, Amazon Machine Images, and Control tower to deploy and maintain an AWS cloud environment. Automate resource deployment using AWS services such as AWS CloudFormation and AWS Service Catalog. Use AWS services to manage AWS resources through SysOps lifecycle processes such as deployments and patches. Configure a highly available cloud environment that leverages AWS services such as Amazon Route 53 and Elastic Load Balancing to route traffic for optimal latency and performance. Configure AWS Auto Scaling and Amazon Elastic Compute Cloud auto scaling to scale your cloud environment based on demand. Use Amazon CloudWatch and associated features such as alarms, dashboards, and widgets to monitor your cloud environment. Manage permissions and track activity in your cloud environment using AWS services such as AWS CloudTrail and AWS Config. Deploy your resources to an Amazon Virtual Private Cloud (Amazon VPC), establish necessary connectivity to your Amazon VPC, and protect your resources from disruptions of service. State the purpose, benefits, and appropriate use cases for mountable storage in your AWS cloud environment. Explain the operational characteristics of object storage in the AWS cloud, including Amazon Simple Storage Service (Amazon S3) and Amazon S3 Glacier. Build a comprehensive costing model to help gather, optimize, and predict your cloud costs using services such as AWS Cost Explorer and the AWS Cost & Usage Report. This course teaches systems operators and anyone performing system operations functions how to install, configure, automate, monitor, secure, maintain and troubleshoot the services, networks, and systems on AWS necessary to support business applications. The course also covers specific AWS features, tools, andbest practices related to these functions. Module 1: Introduction to System Operations on AWS Systems operations AWS Well-Architected Framework AWS Well-Architected Tool Module 2a: Access Management Access management Resources, accounts, and AWS Organizations Module 2b: System Discovery Methods to interact with AWS services Introduction to monitoring services Tools for automating resource discovery Inventory with AWS Systems Manager and AWS Config Troubleshooting scenario Hands-On Lab: Auditing AWS Resources with AWS Systems Manager and AWS Config Module 3: Deploying and Updating Resources Systems operations in deployments Tagging strategies Deployment using Amazon Machine Images (AMIs) Deployment using AWS Control Tower Troubleshooting scenario Module 4: Automating Resource Deployment Deployment using AWS CloudFormation Deployment using AWS Service Catalog Troubleshooting scenario Hands-On Lab: Infrastructure as Code Module 5: Manage Resources AWS Systems Manager Troubleshooting scenario Hands-On Lab: Operations as Code Module 6a: Configure Highly Available Systems Distributing traffic with Elastic Load Balancing Amazon Route 53 Module 6b: Automate Scaling Scaling with AWS Auto Scaling Scaling with Spot Instances Managing licenses with AWS License Manager Troubleshooting scenario Module 7: Monitor and Maintaining System Health Monitoring and maintaining healthy workloads Monitoring distributed applications Monitoring AWS infrastructure Monitoring your AWS account Troubleshooting scenario Hands-On Lab: Monitoring Applications and Infrastructure Module 8: Data Security and System Auditing Maintain a strong identity and access foundation Implement detection mechanisms Automate incident remediation Troubleshooting scenario Hands-On Lab: Securing the Environment Module 9: Operate Secure and Resilient Networks Building a secure Amazon Virtual Private Cloud (Amazon VPC) Networking beyond the VPC Troubleshooting scenario Module 10a : Mountable Storage Configuring Amazon Elastic Block Storage (Amazon EBS) Sizing Amazon EBS volumes for performance Using Amazon EBS snapshots Using Amazon Data Lifecycle Manager to manage your AWS resources Creating backup and data recovery plans Configuring shared file system storage Module 10b: Object Storage Deploying Amazon Simple Storage Service (Amazon S3) with Access Logs, Cross-Region Replication, and S3 Intelligent-Tiering Hands-On Lab: Automating with AWS Backup for Archiving and Recovery Module 11: Cost Reporting, Alerts, and Optimization Gain AWS expenditure awareness Use control mechanisms for cost management Optimize your AWS spend and usage Hands-On Lab: Capstone lab for SysOps Additional course details: Nexus Humans Systems Operations on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Systems Operations on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 3 Days 18 CPD hours This course is intended for Developers who have some familiarity with serverless and experience with development in the AWS Cloud Overview In this course, you will learn to: Apply event-driven best practices to a serverless application design using appropriate AWS services Identify the challenges and trade-offs of transitioning to serverless development, and make recommendations that suit your development organization and environment Build serverless applications using patterns that connect AWS managed services together, and account for service characteristics, including service quotas, available integrations, invocation model, error handling, and event source payload Compare and contrast available options for writing infrastructure as code, including AWS CloudFormation, AWS Amplify, AWS Serverless Application Model (AWS SAM), and AWS Cloud Development Kit (AWS CDK) Apply best practices to writing Lambda functions inclusive of error handling, logging, environment re-use, using layers, statelessness, idempotency, and configuring concurrency and memory Apply best practices for building observability and monitoring into your serverless application Apply security best practices to serverless applications Identify key scaling considerations in a serverless application, and match each consideration to the methods, tools, or best practices to manage it Use AWS SAM, AWS CDK, and AWS developer tools to configure a CI/CD workflow, and automate deployment of a serverless application Create and actively maintain a list of serverless resources that will assist in your ongoing serverless development and engagement with the serverless community This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You will use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom. Introduction Introduction to the application you will build Access to course resources (Student Guide, Lab Guide, and Online Course Supplement) Thinking Serverless Best practices for building modern serverless applications Event-driven design AWS services that support event-driven serverless applications API-Driven Development and Synchronous Event Sources Characteristics of standard request/response API-based web applications How Amazon API Gateway fits into serverless applications Try-it-out exercise: Set up an HTTP API endpoint integrated with a Lambda function High-level comparison of API types (REST/HTTP, WebSocket, GraphQL) Introduction to Authentication, Authorization, and Access Control Authentication vs. Authorization Options for authenticating to APIs using API Gateway Amazon Cognito in serverless applications Amazon Cognito user pools vs. federated identities Serverless Deployment Frameworks Overview of imperative vs. declarative programming for infrastructure as code Comparison of CloudFormation, AWS CDK, Amplify, and AWS SAM frameworks Features of AWS SAM and the AWS SAM CLI for local emulation and testing Using Amazon EventBridge and Amazon SNS to Decouple Components Development considerations when using asynchronous event sources Features and use cases of Amazon EventBridge Try-it-out exercise: Build a custom EventBridge bus and rule Comparison of use cases for Amazon Simple Notification Service (Amazon SNS) vs. EventBridge Try-it-out exercise: Configure an Amazon SNS topic with filtering Event-Driven Development Using Queues and Streams Development considerations when using polling event sources to trigger Lambda functions Distinctions between queues and streams as event sources for Lambda Selecting appropriate configurations when using Amazon Simple Queue Service (Amazon SQS) or Amazon Kinesis Data Streams as an event source for Lambda Try-it-out exercise: Configure an Amazon SQS queue with a dead-letter queue as a Lambda event source Writing Good Lambda Functions How the Lambda lifecycle influences your function code Best practices for your Lambda functions Configuring a function Function code, versions and aliases Try-it-out exercise: Configure and test a Lambda function Lambda error handling Handling partial failures with queues and streams Step Functions for Orchestration AWS Step Functions in serverless architectures Try-it-out exercise: Step Functions states The callback pattern Standard vs. Express Workflows Step Functions direct integrations Try-it-out exercise: Troubleshooting a Standard Step Functions workflow Observability and Monitoring The three pillars of observability Amazon CloudWatch Logs and Logs Insights Writing effective log files Try-it-out exercise: Interpreting logs Using AWS X-Ray for observability Try-it-out exercise: Enable X-Ray and interpret X-Ray traces CloudWatch metrics and embedded metrics format Try-it-out exercise: Metrics and alarms Try-it-out exercise: ServiceLens Serverless Application Security Security best practices for serverless applications Applying security at all layers API Gateway and application security Lambda and application security Protecting data in your serverless data stores Auditing and traceability Handling Scale in Serverless Applications Scaling considerations for serverless applications Using API Gateway to manage scale Lambda concurrency scaling How different event sources scale with Lambda Automating the Deployment Pipeline The importance of CI/CD in serverless applications Tools in a serverless pipeline AWS SAM features for serverless deployments Best practices for automation Course wrap-up Additional course details: Nexus Humans AWS Developing Serverless Solutions on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AWS Developing Serverless Solutions on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.