1670 Architecture courses

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

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.

Are you ready to take your career to new heights in the realm of cloud computing? The AWS Certified Solutions Architect - Associate (SAA-C03) certification is your gateway to success, and AmazonAWSdumps is here to guide you every step of the way. In this article, we'll delve into the intricacies of the SAA-C03 certification and explore how AmazonAWSdumps can help you achieve your goals. Understanding the SAA-C03 Certification The AWS Certified Solutions Architect - Associate (SAA-C03) certification is designed for individuals who possess the skills and knowledge necessary to design distributed systems on AWS. This certification validates your ability to architect and deploy secure and robust applications on the AWS platform, making you a valuable asset to any organization leveraging cloud technology. Exam Format Exam Type: Multiple choice and multiple response Number of Questions: Approximately 65 Duration: 130 minutes Passing Score: 720 out of 1000 Exam Domains Domain 1: Design Resilient Architectures Domain 2: Design High-Performing Architectures Domain 3: Design Secure Applications and Architectures Domain 4: Design Cost-Optimized Architectures Domain 5: Define Operationally Excellent Architectures Why Choose AmazonAWSdumps for Your SAA-C03 Preparation? Comprehensive Study Material Our SAA-C03 Dumps Is meticulously curated to cover all the essential topics and concepts tested on the exam. From architectural design principles to AWS services and best practices, our materials provide a comprehensive overview of everything you need to know to succeed. Expert Guidance and Support At AmazonAWSdumps, we understand that embarking on your certification journey can be daunting. That's why our team of experienced professionals is here to provide you with expert guidance and support every step of the way. Whether you have questions about specific concepts or need advice on study strategies, we're here to help. Realistic Practice Exams Practice makes perfect, and our realistic SAA-C03 practice Test designed to simulate the actual exam environment. Test your knowledge and skills under timed conditions, identify areas for improvement, and gain the confidence you need to ace the exam on your first attempt. Flexible Learning Options We understand that everyone has unique learning preferences and schedules. That's why we offer a variety of flexible learning options to suit your individual needs. Whether you prefer self-paced study with our comprehensive SAA-C03 study guide or interactive learning experiences with our test engine, we have the resources you need to succeed. Your Path to Success Starts Here: With AmazonAWSdumps as your trusted partner, you have everything you need to navigate the complexities of the SAA-C03 certification with confidence. Don't let this opportunity pass you by – unlock your potential and elevate your career in cloud computing today. Join the ranks of certified AWS professionals and embark on a journey of endless possibilities with AmazonAWSdumps by your side. FAQs About the SAA-C03 Exam: Q: Who should take the SAA-C03 exam? A: The SAA-C03 exam is ideal for individuals who have experience designing distributed systems on the AWS platform and wish to validate their skills as an AWS Solutions Architect. Q: What is the recommended experience level for the SAA-C03 exam? A: While there are no strict prerequisites, it is recommended that candidates have at least one year of hands-on experience designing available, cost-efficient, fault-tolerant, and scalable distributed systems on AWS. Start Your Journey with AmazonAWSdumps Today Don't let exam preparation hold you back from reaching your career goals. With AmazonAWSdumps as your trusted partner, you'll have everything you need to excel on your Amazon certification exams and take your career to new heights in cloud computing. Explore our extensive collection of exam dumps and study materials today and embark on your certification journey with confidence!

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: IT/Senior managers Solutions architects/Enterprise architects Operations professionals Overview This course teaches you how to: Build your cloud strategy. Develop the hiring plan for your cloud team. Choose and prioritize which applications to move to AWS. Build a migration plan for moving workloads to AWS. Manage your AWS expenditures and internal chargebacks. This course teaches you how to select the right strategy, people, migration plan, and financial management methodology needed when moving your workloads to the cloud. This course provides guidance on how to build a holistic cloud adoption plan and how to hire people who will execute that plan. You will learn best practices for choosing workloads to migrate from your on-premises environment to AWS. In addition, you will also learn best practices for managing your AWS expenses and dealing with internal chargebacks. Building Your Cloud StrategyHiring Your Cloud TeamMigration PlanningCloud Expenditure Management

Duration 3 Days 18 CPD hours This course is intended for Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform Overview This course teaches participants the following skills: Use best practices for application development. Choose the appropriate data storage option for application data. Implement federated identity management. Develop loosely coupled application components or microservices. Integrate application components and data sources. Debug, trace, and monitor applications. Perform repeatable deployments with containers and deployment services. Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment. Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Best Practices for Application Development Code and environment management. Design and development of secure, scalable, reliable, loosely coupled application components and microservices. Continuous integration and delivery. Re-architecting applications for the cloud. Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK. Lab: Set up Google Client Libraries, Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials. Overview of Data Storage Options Overview of options to store application data. Use cases for Google Cloud Storage, Cloud Firestore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner. Best Practices for Using Cloud Firestore Best practices related to using Cloud Firestore in Datastore mode for:Queries, Built-in and composite indexes, Inserting and deleting data (batch operations),Transactions,Error handling. Bulk-loading data into Cloud Firestore by using Google Cloud Dataflow. Lab: Store application data in Cloud Datastore. Performing Operations on Cloud Storage Operations that can be performed on buckets and objects. Consistency model. Error handling. Best Practices for Using Cloud Storage Naming buckets for static websites and other uses. Naming objects (from an access distribution perspective). Performance considerations. Setting up and debugging a CORS configuration on a bucket. Lab: Store files in Cloud Storage. Handling Authentication and Authorization Cloud Identity and Access Management (IAM) roles and service accounts. User authentication by using Firebase Authentication. User authentication and authorization by using Cloud Identity-Aware Proxy. Lab: Authenticate users by using Firebase Authentication. Using Pub/Sub to Integrate Components of Your Application Topics, publishers, and subscribers. Pull and push subscriptions. Use cases for Cloud Pub/Sub. Lab: Develop a backend service to process messages in a message queue. Adding Intelligence to Your Application Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API. Using Cloud Functions for Event-Driven Processing Key concepts such as triggers, background functions, HTTP functions. Use cases. Developing and deploying functions. Logging, error reporting, and monitoring. Managing APIs with Cloud Endpoints Open API deployment configuration. Lab: Deploy an API for your application. Deploying Applications Creating and storing container images. Repeatable deployments with deployment configuration and templates. Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments. Execution Environments for Your Application Considerations for choosing an execution environment for your application or service:Google Compute Engine (GCE),Google Kubernetes Engine (GKE), App Engine flexible environment, Cloud Functions, Cloud Dataflow, Cloud Run. Lab: Deploying your application on App Engine flexible environment. Debugging, Monitoring, and Tuning Performance Application Performance Management Tools. Stackdriver Debugger. Stackdriver Error Reporting. Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting. Stackdriver Logging. Key concepts related to Stackdriver Trace and Stackdriver Monitoring. Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance.

Duration 3 Days 18 CPD hours This course is intended for Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Google Compute Engine. Overview Configure VPC networks and virtual machines Administer Identity and Access Management for resources Implement data storage services in GCP Manage and examine billing of GCP resources Monitor resources using Stackdriver services Connect your infrastructure to GCP Configure load balancers and autoscaling for VM instances Automate the deployment of GCP infrastructure services Leverage managed services in GCP This class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. Introduction to Google Cloud Platform List the different ways of interacting with GCP Use the GCP Console and Cloud Shell Create Cloud Storage buckets Use the GCP Marketplace to deploy solutions Virtual Networks List the VPC objects in GCP Differentiate between the different types of VPC networks Implement VPC networks and firewall rules Design a maintenance server Virtual Machines Recall the CPU and memory options for virtual machines Describe the disk options for virtual machines Explain VM pricing and discounts Use Compute Engine to create and customize VM instances Cloud IAM Describe the Cloud IAM resource hierarchy Explain the different types of IAM roles Recall the different types of IAM members Implement access control for resources using Cloud IAM Storage and Database Services Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable Choose a data storage service based on your requirements Implement data storage services Resource Management Describe the cloud resource manager hierarchy Recognize how quotas protect GCP customers Use labels to organize resources Explain the behavior of budget alerts in GCP Examine billing data with BigQuery Resource Monitoring Describe the Stackdriver services for monitoring, logging, error reporting, tracing, and debugging Create charts, alerts, and uptime checks for resources with Stackdriver Monitoring Use Stackdriver Debugger to identify and fix errors Interconnecting Networks Recall the GCP interconnect and peering services available to connect your infrastructure to GCP Determine which GCP interconnect or peering service to use in specific circumstances Create and configure VPN gateways Recall when to use Shared VPC and when to use VPC Network Peering Load Balancing and Autoscaling Recall the various load balancing services Determine which GCP load balancer to use in specific circumstances Describe autoscaling behavior Configure load balancers and autoscaling Infrastructure Automation Automate the deployment of GCP services using Deployment Manager or Terraform Outline the GCP Marketplace Managed Services Describe the managed services for data processing in GCP Additional course details: Nexus Humans Architecting with Google Compute Engine 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 Compute Engine 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.

Software comes in a variety of guises - application software, firmware, middleware, system software. Increasingly, however, it doesn't necessarily present that way, especially as the boundaries between software, data and source code are becoming more and more blurred. And as software becomes more complex and more difficult to disentangle, so it becomes harder to manage and to value. But as it becomes more integral to every aspect of a business, so it is ever more important to keep on top of the technical, legal and commercial issues that arise, issues such as: To address these issues, organisations need a process for evaluating their current situation from all perspectives and for identifying the key actions they need to take to ensure holistic management of their software. This very practical programme will help set your organisation on the right path. Note: this is an indicative agenda, to be used as a starting point for a conversation between client and consultant, depending on the organisation's specific situation and requirements. This programme is designed to give you a deeper understanding of: The technical, legal and commercial risks associated with software development, procurement, use and commercial exploitation The most appropriate processes and responsibilities for managing those risks Note: this is an indicative agenda, to be used as a starting point for a conversation between client and consultant, depending on the organisation's specific situation and requirements. 1 Software business model What is the software business model? What options exist? Has the software business model been thoroughly reviewed to ensure its viability? This means fully understanding the market opportunity, the business environment and customer and end-user expectations. 2 Technology What are the technologies? How has the technology selection been validated considering the competitiveness, structure, and potential for future innovation? 3 UI and UX What is the UI and UX? How to best articulate this? Has the user interface and user experience been studied from both a subjective and objective view to give insight into customer behaviour? 4 Legal framework / commercial aspects Has the necessary legal framework or commercial aspects that may impact upon use or operation of the software been understood and risks identified and mitigated? 5 Software development What is the software development process? Are both the business management and development team's processes resilient in order to improve the company's capability and the maturity of the software? 6 Software quality What is quality? What are the metrics around software quality? What is the maturity level, based around a qualitative and quantitative assessment? 7 Intellectual property associated What IP should be considered when it comes to software? Does the company understand both the intellectual property risks and potential opportunities associated with this software? 8 Security What does software security mean in this context? How is it being addressed? 9 An holistic approach Review of roles and responsibilities to ensure appropriate management and protection

Duration 5 Days 30 CPD hours Overview Upon completing this course, you will be able to meet the following objectives: SD-WAN Overview Cloud Concepts Cloud Technologies SD-WAN Direct Cloud Access (DCA) SD-WAN SaaS Cloud On-RAMP for IAAS (AWS) Cloud On-RAMP for IAAS (AZURE) Cloud Configuration for GCP Cloud On-RAMP for MULTI-CLOUD Cloud On-RAMP for CO-LOCATIONS This is a 5 day hands-on course on Cisco SD-WAN Cloud Configuration, Monitoring and Troubleshooting. This course provides the student with the knowledge to connect SD-WAN to SaaS Applications, as well as the ability to connect their Branches to AWS, AZURE, GCP Data Centers in the Cloud. Students will also learn how to Configure, Monitor, and Troubleshoot SD-WAN Co-Locations and SD-WAN Multicloud. SD-WAN Overview SD-WAN Controller SD-WAN WAN Edges supported in Cloud Instances Cloud Concepts Cloud Ops vs WAN Ops Cloud Connectivity Cloud Access Control Cloud Network Connectivity Cloud Regions Cloud Availability Zones Virtual Networks Cloud Routing Internet Gateways VS VPN Gateways VPC/VNET: IP Addressing Cloud Network Load Balancing Cloud Peering Cloud Transit Networks Cloud Technologies Azure Azure Basics Resource Groups vNets Availability zones Availability Set Workload and Public IP Network Virtual Appliance Load Balancer User Defined Routes Network Security Group VPN Gateway Express Routes Creating VNET for SDWAN AWS AWS Basics Region VPCs Availability zones Subnets EC2 Instance Elastic IPs Security Groups Internet Gateway NAT Gateway Route Table VPN Gateway Direct Connect Elastic Load Balancer Subscribe to Amazon machine images Setting AWS resource limits AWS Transit Gateways Creating VPC for SDWAN AWS IAM Role AWS Security Groups Service limits AWS SSH key pair Google Cloud GCP Basics Project Region Virtual Private Cloud Availability Zone Subnets Compute Engine Cloud Load Balancer Cloud DNS VPC Routing Cloud VPN & VPC peering VPC Firewall Rules SD-WAN Direct Cloud Access (DCA) DCA Prerequisites DNS on VPN 0 DIA Central Policy Configuration Match Traffic Set QOS Set External Access SD-WAN SaaS Supported Platforms and Versions SaaS Prerequisites DNS on VPN 0 DIA SaaS Access Methods Cloud Access through Direct Internet Access Links Cloud Access through a Gateway Site Hybrid Approach Supported SaaS Applications SaaS Security Options SaaS Configuration Common Scenarios for Using Cloud onRamp for SaaS Specify Office 365 Traffic Category Enable Cloud onRamp for SaaS, Cisco IOS XE SD-WAN Devices Configure Applications for Cloud onRamp for SaaS Using Cisco vManage Configure Sites for Cloud onRamp for SaaS Using Cisco vManage View Details of Monitored Applications Cloud On-RAMP for IAAS (AWS) Prerequisite AWS Configuration Verify prerequisites Configure AWS for Cisco SD-WAN Cloud On-RAMP for AWS Overview Define WAN Edge Type used Define Template Attach Devices to Template Deploy Cloud Onramp AWS IAM Role Select Region Select CPU and Memory Transit Networking IP Addresses Discover and Map Host VPCs AWS to SD-WAN Security Monitor Cisco Cloud Onramp for AWS Troubleshoot Cisco Cloud Onramp for AWS Interconnecting Cisco SD-WAN with AWS Transit Gateway (TGW) Cloud On-RAMP for IAAS (AZURE) Prerequisite AZURE Configuration Cloud On-RAMP for AZURE Configure AWS for Cisco SD-WAN Define WAN Edge Type used Define Template Attach Devices to Template Deploy Cloud Onramp Select Region Discover and Map Host VPCs Monitor Cisco Cloud Onramp for Azure Troubleshoot Cisco Cloud Onramp for AZURE Azure Virtual Wan (VWAN) Integration Cloud Configuration for GCP Prerequisite GCP Configuration SD-WAN Configuration Configure Google Cloud for SD-WAN Google Cloud GCP Basics Deploy cEdge Catalyst 8000V Edges Setup IPSEC Connections Setup BGP Connections Cloud On-RAMP for MULTI-CLOUD AWS Transit Gateway Microsoft vWAN Create Cisco Cloud GW Discover host VPCs/VNets Map Branch nets to VPCs Cloud On-RAMP for CO-LOCATIONS SD-WAN CO-LOCATIONS Overview Colocation facilities Cisco Colocation Equipment Cisco Cloud Services Platform 5444 Cisco Network Function Virtualization Infrastructure Software (NFVIS) Virtual Network Functions Network Fabric Cisco Catalyst 9500-48Y4C switch Cisco Catalyst 9500-40X switch Device Configuration and Connectivity Sizing the Colocation Solution Devices Cisco Colocation Manager Deploy Network Services at the Network Edge Colocation Solution?Deployment Workflow Monitor Cisco SD-WAN Colocation Devices Cisco Colocation Manager States for Switch Configuration Cisco Colocation Manager States and Transitions from Host Cisco Colocation Manager Notifications VM Alarms Cloud Services Platform Real-Time Commands Colocation High Availability Troubleshoot Cisco SD-WAN Cloud onRamp for Colocation Solution Troubleshoot Catalyst 9500 Issues Troubleshoot Cloud Services Platform Issues DHCP IP Address Assignment Troubleshoot Cisco Colo Manager Issues Troubleshoot Service Chain Issues Troubleshoot Physical Network Function Management Issues Log Collection from CSP Troubleshoot vManage Issues Additional course details: Nexus Humans Cisco SD-WAN Cloud (SDWAN-CLD-CT) 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 Cisco SD-WAN Cloud (SDWAN-CLD-CT) 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 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 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.