Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Solutions Architects and Engineers who perform cloud migrations IT Project Managers who are involved in projects related to migrating existing workloads to the AWS Cloud Overview This course is designed to teach you how to: Explain the various cloud migration strategies Assess cloud migration readiness Discover your portfolio and plan for migration Plan and design your application migration strategy Perform and validate application migration to the cloud Optimize your applications and operations after migrating to the cloud Migrating to AWS focuses on planning and migrating existing workloads to the AWS Cloud. The course covers various cloud migration strategies with a detailed discussion on each phase of the migration process, including portfolio discovery, application migration planning and design, migration execution, and post-migration validation and application optimization. This course is designed for Solutions Architects and Engineers who perform cloud migrations, have an understanding of core AWS services and design patterns covered in Architecting on AWS. This course is also available to IT project managers involved in the planning of those migrations who have completed AWS Technical Essentials Module 1: Migrating to AWS ? Overview Migration process 'Mental Model' Cloud Migration Strategies Comparing Cloud Migration Strategies Cloud Center of Excellence (CoE) Cloud Migration Readiness Assessment AWS Cloud Migration Process Group activity: Creating a high-level migration plan Module 2: Discovery and analysis Migration Process Roadmap AWS Migration Methodology AWS Application Discovery Service Portfolio Analysis Hands-on lab 1: Performing discovery Module 3: Migration planning and design (part I) AWS Migration Hub Pricing and Availability Process Group activity: Creating a detailed migration plan Module 3: Migration planning and design (continued) Application migration ordering Application prioritization criteria Defining success criteria Migration methodology Designing for migration Module 4: Migration, integration, and validation Migration considerations Data migration AWS Snow Services AWS Data Migration Service (DMS) Server migration Demonstration: Server migration service Hands-on lab 2 : Migrating databases to AWS EC2 Hands-on lab 3 : Migrating databases to Amazon Aurora Module 5: Operations and optimization On premises vs. cloud IT operations Optimizing in the AWS Cloud Case study: Optimizing an application
Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Solutions architects Developers Cost-optimization leads System administrators Overview In this course, you will learn to: Explain the cost of core AWS services Determine and predict costs associated with current and future cloud workloads Use strategies and best practices to reduce AWS costs Use AWS tools to manage, monitor, alert, and optimize your AWS spend Apply strategies to monitor service costs and usage Implement governance standards, including resource tagging, account structure, provisioning,permissions, and access This course is for individuals who seek an understanding of how to manage, optimize, and predict costs as you run workloads on AWS. You learn how to implement architectural best practices, explore cost optimization strategies, and design patterns to help you architect cost-efficient solutions on AWS. Module 0: Couse Overview Course introduction Module 1: Introduction to Cloud Financial Management Introduction to Cloud Financial Management Four pillars of Cloud Financial Management Module 2: Resource Tagging Tagging resources Hands-On Lab: Cost optimization: Control Resource Consumption Using Tagging and AWS Config Module 3: Pricing and Cost Fundamentals of pricing AWS Free Tier Volume discounts Savings plans and Reserved Instances Demonstration: AWS Pricing Calculator Module 4: AWS Billing, Reporting, and Monitoring Understanding AWS invoices Reporting and planning AWS Cost Explorer AWS Budgets Demonstration: AWS Billing Console Demonstration: AWS Cost Explorer Demonstration: Trusted Advisor Hands-On Lab: Cost optimization: Deploy Ephemeral Environments Using Amazon EC2 Auto Scaling Module 5: Architecting for Cost: Compute Evolution of compute efficiency Amazon EC2 right-sizing Purchasing options Architect for Amazon EC2 Spot Instance Impact of software licensing Demonstration: Compute Optimizer Demonstration: Spot Instance Advisor Hands-On Lab: Cost optimization: Right Size Amazon EC2 Instances Using Amazon CloudWatch Metrics Module 6: Architecting for Cost: Networking Data transfer costs Understand data costs for different services How to triage network costs Hands-On Lab: Cost optimization: Reduce Data Transfer Costs Using Amazon CloudFront and Endpoints Module 7: Architecting for Cost: Storage Amazon EBS cost, pricing, and best practices Amazon S3 cost, pricing, and best practices Amazon EFS cost, pricing, and best practices Hands-On Lab: Cost optimization: Reduce Storage Costs Using Amazon S3 Lifecycle Management Module 8: Architecting for Cost: Databases Amazon RDS cost, pricing, and best practices Amazon Aurora cost, pricing, and best practices Amazon DynamoDB cost, pricing, and best practices Amazon ElastiCache cost, pricing, and best practices Amazon Redshift cost, pricing, and best practices Module 9: Cost Governance Setting up AWS Organizations AWS Systems Manager Hands-On Lab: Cost optimization: Reduce Compute Costs Using AWS Instance Scheduler Module 10: Course Summary Course review
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.
Duration 2 Days 12 CPD hours This course is intended for Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Overview Apply a tool set of questions, techniques and design considerations Define application requirements and express them objectively as KPIs, SLO's and SLI's Decompose application requirements to find the right microservice boundaries Leverage Google Cloud developer tools to set up modern, automated deployment pipelines Choose the appropriate Google Cloud Storage services based on application requirements Architect cloud and hybrid networks Implement reliable, scalable, resilient applications balancing key performance metrics with cost Choose the right Google Cloud deployment services for your applications Secure cloud applications, data and infrastructure Monitor service level objectives and costs using Stackdriver tools This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course. Defining the Service Describe users in terms of roles and personas. Write qualitative requirements with user stories. Write quantitative requirements using key performance indicators (KPIs). Evaluate KPIs using SLOs and SLIs. Determine the quality of application requirements using SMART criteria. Microservice Design and Architecture Decompose monolithic applications into microservices. Recognize appropriate microservice boundaries. Architect stateful and stateless services to optimize scalability and reliability. Implement services using 12-factor best practices. Build loosely coupled services by implementing a well-designed REST architecture. Design consistent, standard RESTful service APIs. DevOps Automation Automate service deployment using CI/CD pipelines. Leverage Cloud Source Repositories for source and version control. Automate builds with Cloud Build and build triggers. Manage container images with Google Container Registry. Create infrastructure with code using Deployment Manager and Terraform. Choosing Storage Solutions Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost. Store binary data with Cloud Storage. Store relational data using Cloud SQL and Spanner. Store NoSQL data using Firestore and Cloud Bigtable. Cache data for fast access using Memorystore. Build a data warehouse using BigQuery. Google Cloud and Hybrid Network Architecture Design VPC networks to optimize for cost, security, and performance. Configure global and regional load balancers to provide access to services. Leverage Cloud CDN to provide lower latency and decrease network egress. Evaluate network architecture using the Cloud Network Intelligence Center. Connect networks using peering and VPNs. Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect. Deploying Applications to Google Cloud Choose the appropriate Google Cloud deployment service for your applications. Configure scalable, resilient infrastructure using Instance Templates and Groups. Orchestrate microservice deployments using Kubernetes and GKE. Leverage App Engine for a completely automated platform as a service (PaaS). Create serverless applications using Cloud Functions. Designing Reliable Systems Design services to meet requirements for availability, durability, and scalability. Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures. Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns. Design resilient data storage with lazy deletion. Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis. Security Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits. Leverage Cloud Security Command Center to help identify vulnerabilities. Simplify cloud governance using organizational policies and folders. Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform. Manage the access and authorization of resources by machines and processes using service accounts. Secure networks with private IPs, firewalls, and Private Google Access. Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor. Maintenance and Monitoring Manage new service versions using rolling updates, blue/green deployments, and canary releases. Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data. Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards. Use Uptime Checks to determine service availability. Respond to service outages using Cloud Monitoring Alerts. Additional course details: Nexus Humans Architecting with Google Cloud: Design and Process 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 Architecting with Google Cloud: Design and Process 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 3 Days 18 CPD hours This course is intended for Data platform engineers Database administrators Solutions architects IT professionals Overview Apply database concepts, database management, and data modeling techniques Evaluate hosting databases on Amazon EC2 instances Evaluate relational database services (Amazon RDS, Amazon Aurora, and Amazon Redshift) and their features Evaluate nonrelational database services (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB) and their features Examine how the design criteria apply to each service Apply management principles based on the unique features of each service This course will teach you the process of planning and designing both relational and nonrelational database and the planning and design requirements of all 8 of the AWS databases services, their pros and cons, and how to know which AWS databases service is right for your workloads. Day 1 Module 0: Planning and Designing Databases on AWS Module 1: Database Concepts and General Guidelines Module 2: Database Planning and Design Module 3: Databases on Amazon EC2 Module 4: Purpose-Built Databases Module 5: Databases on Amazon RDS Databases in Amazon Aurora Day 2 Module 6: Databases in Amazon Aurora (continued) Module 7: Databases in Amazon DocumentDB (with MongoDB compatibility) Module 8: Amazon DynamoDB Tables Day 3 Module 9: Databases in Amazon Neptune Module 10: Databases in Amazon Quantum Ledger Database (Amazon QLDB) Module 11: Databases in Amazon ElastiCache Module 12: Data Warehousing in Amazon Redshift Module 13: Course Review Additional course details: Nexus Humans Planning and Designing Databases 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 Planning and Designing Databases 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 4 Days 24 CPD hours This course is intended for This class is designed for enterprise architects, solution architects, and business analysts working to earn their Salesforce System Architect credential, for consultants or technical experts working to earn their individual Architect Designer credential, and for Salesforce Developers and Administrators looking to expand their overall capabilities with the Salesforce Platform. Overview Recommend appropriate integration patterns (Remote Process Invocation - Request and Reply, Remote Process Invocation - Fire and Forget, Batch Data Synchronization, Remote Call-In, and UI Update Based on Data Changes) to address integration requirements. Recommend appropriate integration capabilities (SOAP, REST, bulk, streaming, canvas, Workflow outbound, Apex, and Salesforce Connect) to address integration requirements. Recommend the appropriate SSO Flow or OAuth flow to address identity and access management requirements. Dive into the two cornerstone domains of being a System Architect: Integration Architecture, and Identity and Access Management. In this 4-day workshop, our Architect experts will present you with a case study scenario that will be broken down and digested through iterative exploration. Learn how to design and build secure, scalable, and high-performing integration and identity solutions through a combination of lecture, demos, hands-on exercises, and workshop presentations and discussions. Integration Capabilities Create, Retrieve, Update, or Delete Records with SOAP API Integrate with Salesforce Using REST API Insert, Update, Upsert, or Delete Large Volumes of Data with BULK API Push Relevant Data to Users in Real Time with Streaming API Send Information to a Designated Endpoint with Outbound Message Integrate Your Apex with an External Service Using Callouts Integrate Data from an External Data Source Using Salesforce Connect Synchronize Data with Heroku Connect Connect Business Processes in Salesforce with Platform Events Publish Change Events with Change Data Capture Integration Patterns Invoke Remote Call-In Patterns Invoke Request and Reply Patterns Invoke Fire and Forget Patterns Synchronize Batch Data Update UI Based on Data Changes Visualize Data Identity Management Review SSO Fundamentals Review Identity Management Review Identity Management Concepts Understand Salesforce as an Identity Provider Accept Third-Party Identity in Salesforce Understand Social Sign-On and Open ID Connect Enable Users to Authenticate with SSO Flows Initiate Flows with IDP Initiate Flows with SP Troubleshoot Identity Issues Authentication Grant Client Application Access with OAuth Flow Generate Access Tokens with Username Password Flow Initiate Web Server Flow Grant Application Access with User Agent Flow Connect to Salesforce Using JWT Flow
Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Cloud professionals who intend to take the Professional Cloud Architect certification exam. Overview Candidates will be able to identify skill gaps and further areas of study. Candidates will also be directed to appropriate target learning resources. Students in this course will prepare for the Professional Cloud Architect Certification Exam. They will rehearse useful skills including exam question reasoning and case comprehension, tips and review of topics from the Infrastructure curriculum. Understanding the Professional Cloud Architect Certification Position the Professional Cloud Architect certification among the offerings Distinguish between Associate and Professional Provide guidance between Professional Cloud Architect and Associate Cloud Engineer Describe how the exam is administered and the exam rules Provide general advice about taking the exam Sample Case Studies MountKirk Games Dress4Win TerramEarth Designing and Implementing Review the layered model from Design and Process Provide exam tips focused on business and technical design Designing a solution infrastructure that meets business requirements Designing a solution infrastructure that meets technical requirements Design network, storage, and compute resources Creating a migration plan Envisioning future solution improvements Resources for learning more about designing and planning Configuring network topologies Configuring individual storage systems Configuring compute systems Resources for learning more about managing and provisioning Designing for security Designing for legal compliance Resources for learning more about security and compliance Optimizing and Operating Analyzing and defining technical processes Analyzing and defining business processes Resources for learning more about analyzing and optimizing processes Designing for security Designing for legal compliance Resources for learning more about security and compliance Advising development/operation teams to ensure successful deployment of the solution Resources for learning more about managing implementation Easy buttons Playbooks Developing a resilient culture Resources for learning more about ensuring reliability Next Steps Present Qwiklabs Challenge Quest for the Professional CA Identify Instructor Led Training courses and what they cover that will be helpful based on skills that might be on the exam Connect candidates to individual Qwiklabs, and to Coursera individual courses and specializations. Review/feedback of course Additional course details: Nexus Humans Preparing for the Professional Cloud Architect Examination 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 Preparing for the Professional Cloud Architect Examination 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 Typical candidates for this course are IT professionals who deploy Aruba WLAN with advanced features and individuals who need a basic understanding of AirWave. Overview Upon completion of this course, students will be able to:Explain the integration Mobility Masters and Mobility controllersDescribe redundancy giving the user seamless failoverSetup secure guest access using MultizoneExplain the uses and advantages of clusteringDescribe user mobility in the wireless spectrumIntegrate voice over WiFi and give QOSExplain how roles are assigned to users wireless or wiredLearn to setup remote access using RAPs or VIADescribe how to create a mesh clusterLearn the advantages given to AirGroup when leveraged on an Aruba networkIntegrating wire users into the security given to wireless usersLearn how to use AirWave to monitor the health of the networkLearn how to use AirWave to troubleshoot clientExplain AirWave?s Visual RF feature as well as alerts and triggers This course teaches the knowledge, skills and practical experience required to set up and configure advanced features on Aruba WLAN utilizing the AOS 8.X architecture and features. This course includes lectures and labs which provide the technical understanding and hands-on experience of configuring a redundant Mobility Master with two controllers and two APs. Participants will learn how install a redundant Aruba WLAN network with clustering while using many features like Multizone for guest access, voice optimization and tunneled node. This course includes the AirWave management system and troubleshooting commands. The SWDI course provides the underlying material required to prepare candidates for the Aruba Certified Mobility Professional (ACMP) V8 certification exam. IntroductionMobility Master RedundancyMobility Master and MC OperationsMultizoneIntroduction to MC clustersMobilityRole DerivationRemote AccessVoice OptimizationMeshAdministrationOperationsAirGroupTunneled NodeAirWave IntroductionAirWave Network HealthAirWave Client and Device TroubleshootingAirWave VisualRF, Reports and Alerts
Duration 1 Days 6 CPD hours This course is intended for This course is intended for an individual who has experience developing and deploying basic business logic and user interfaces using the programmatic capabilities of the Force.com platform, including practical application of the skills and concepts noted in the exam objectives below. Overview When you complete this course, you will be able to:Describe the structure of the exam and the exam?s objectives.List the most heavily weighted exam objectives.Describe key features of the Force.com programming languages, including: Apex, SOQL, SOSL, and Visualforce.Explain important Force.com concepts, such as the testing framework, governor limits, and the save order of execution.Explain the ALM of a Salesforce development project. By covering the details around the exam objectives, this course will help hone your problem-solving skills and reinforce your knowledge of key topics. A mock exam at the end of the course will help you assess your readiness. Introduction to the Course and the Exam Introduction to AW computing Introduction to the Platform Developer I certification Salesforce FundamentalsLogic & Process Automation (Part 1) Working with Formulas and Rollup Summary Fields Working with Basic Constructs in Apex Working with SOQL Working with SOSL Working with DML Working with Exceptions and Governor Limits Logic & Process Automation (Part 2) Working with Apex classes Working with Apex triggers Describe the save order of execution User Interface Working with Visualforce Pages Working with Visualforce Controllers Working with the Lightning Component Framework Testing Describing the Testing Framework and Requirements Creating Test Data and Tests Executing a Test Testing Considerations Debug & Deployment Tools Debugging Deploying Certification Preparation Resources
Duration 5 Days 30 CPD hours This course is intended for This course is intended for: Solutions architects and cloud architects seeking their AWS Certified Solutions Architect - Associate certification Customers and APN Partners who have 6 to 12 months of experience with AWS including a strong architecture background and experience Individuals who prefer an instructor led course for training and exam readiness Individuals who have not taken the Architecting on AWS course in the last ~6 months Overview 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 Navigate the logistics of the examination process, exam structure, and question types Identify how questions relate to AWS architectural concepts Interpret the concepts being tested by an exam question This five-day, instructor-led course helps busy architects get away from the day-to-day to get focused and ready for their AWS Certified Solutions Architect ? Associate exam. Attendees learn the fundamentals of building IT infrastructure on AWS, so they can build scalable and resilient solutions in the cloud, by spending the first 3 days on the Architecting on AWS course. They?ll start getting in the exam readiness mindset with bonus end of module quizzes. Next, they?ll learn strategies to answer exam questions and avoid common mistakes with the Exam Readiness: AWS Certified Solutions Architect ? Associate half-day course. The course broadens attendees? knowledge of AWS services with deep dives into Amazon Redshift, Amazon Kinesis, and AWS Key Management Service, and then concludes with two quizzes and an instructor guided review of the AWS Certified Solutions Architect ? Associate practice exam. Architecting on AWS Module 1: Introduction Module 2: The Simplest Architectures Hands-On Lab 1: Hosting a Static Website Module 3: Adding a Compute Layer Module 4: Adding a Database Layer Hands-On Lab 2: Deploying a Web Application on AWS Module 5: Networking in AWS Part 1 Hands-On Lab 3: Creating a Virtual Private Cloud Architecting on AWS (continued) Module 6: Networking in AWS Part 2 Module 7: AWS Identity and Access Management (IAM) Module 8: Elasticity, High Availability, and Monitoring Hands-On Lab 4: Creating a Highly Available Environment Module 9: Automation Hands-On Lab 5: Automating Infrastructure Deployment with AWS CloudFormation Module 10: Caching Architecting on AWS (continued) Module 11: Building Decoupled Architectures Module 12: Microservices and Serverless Architectures Hands-On Lab 6: Implementing a Serverless Architecture with AWS Managed Services Module 13: RTP/RPO and Backup Recovery Setup Module 14: Optimizations and Review Exam Readiness: AWS Certified Solutions Architect -- Associate Module 0: The Exam Module 1: Design Resilient Architectures Module 2: Design Performant Architectures Module 3: Specify Secure Applications and Architectures Module 4: Design Cost-Optimized Architectures Module 5: Define Operationally Excellent Architectures Exam Readiness Additional deep dive of AWS services Quiz #1 Practice exam: AWS Certified Solutions Architect ? Associate Quiz #2 Wrap-up