1086 Architect courses in Wetherby delivered Live Online

Duration 3.5 Days 21 CPD hours This course is intended for This course is for AWS Cloud Architects with expertise in designing and implementing solutions running on AWS who now want to design for Microsoft Azure. Overview After completing this course, students will be able to: Secure identities with Azure Active Directory and users and groups. Implement identity solutions spanning on-premises and cloud-based capabilities Apply monitoring solutions for collecting, combining, and analyzing data from different sources. Manage subscriptions, accounts, Azure policies, and Role-Based Access Control. Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI. Configure intersite connectivity solutions like VNet Peering, and virtual network gateways. Administer Azure App Service, Azure Container Instances, and Kubernetes. This course teaches Solutions Architects who have previously designed for Amazon Web Services how to translate business requirements into secure, scalable, and reliable solutions for Azure. Introduction to Azure Subscriptions and accounts Resource groups and templates in Azure Resource Manager Azure global infrastructure Azure regions Azure Availability Zones Comparison with AWS Implement Azure Active Directory Introduction to Azure Active Directory Domains and custom domains Safety features Guest users in Azure Active Directory Manage multiple directories Comparison with AWS Implement and manage hybrid identities Introduction to Azure AD Connect Comparison with AWS Implement virtual networking Azure Virtual Network and VNet peering VPN and ExpressRoute connections Comparison with AWS Implement VMs for Windows and Linux Configure high availability Comparison with AWS Implement load balancing and network security Implement Azure Load Balancer Implement an Azure Application Gateway Implement Azure Firewall Implement network security groups and application security groups Comparison with AWS Implement container-based applications Configure Azure Kubernetes Service Publish a solution on an Azure Container Instance Comparison with AWS Implement an application infrastructure Create an App Service plan Create and configure Azure App Service Configure networking for an App Service Introduction to Logic Apps and Azure Functions Comparison with AWS Implement storage accounts Azure Storage core concepts Managing the Azure Blob storage lifecycle Working with Azure Blob storage Comparison with AWS Implement NoSQL databases Introduction to Azure Cosmos DB Consistency Select appropriate CosmosDB APIs Set up replicas in CosmosDB Comparison with AWS DynamoDB Implement Azure SQL databases Configure Azure SQL database settings Implement Azure SQL Database managed instances Configure high availability for an Azure SQL database Comparison with AWS Implement cloud infrastructure monitoring Monitor security Monitor cost Configure a Log Analytics workspace Comparison with AWS Implement and manage Azure governance solutions Assign RBAC roles Configure management access to Azure Implement and configure an Azure Policy Comparison with AWS Manage security for applications Implement Azure Key Vault Implement and configure Azure AD Managed Identities Register and manage applications in Azure AD Comparison with AWS Migration, backup, and disaster recovery management Migrate workloads Implement Azure Backup for VMs Implement disaster recovery Comparison with AWS

Duration 3 Days 18 CPD hours This course is intended for This course is ideal for Professionals preparing to become CRISC certified. Risk practitioners Students or recent graduates Overview At course completions, students will understand the essential concepts in the 4 ISACA CRISC domains: Governance IT Risk Assessment Risk Response and Reporting Information Technology and Security This 3 Day CRISC course is geared towards preparing students to pass the ISACA Certified in Risk and Information Systems Control examination. The course covers all four of the CRISC domains, and each section corresponds directly to the CRISC job practice. CRISC validates your experience in building a well-defined, agile risk-management program, based on best practices to identify, analyze, evaluate, assess, prioritize and respond to risks. This enhances benefits realization and delivers optimal value to stakeholders. GOVERNANCE - a. Organizational Governance Organizational Strategy, Goals, and Objectives Organizational Structure, Roles, and Responsibilities Organizational Culture Policies and Standards Business Processes Organizational Assets GOVERNANCE - b. Risk Governance Enterprise Risk Management and Risk Management Framework Three Lines of Defense Risk Profile Risk Appetite and Risk Tolerance Legal, Regulatory, and Contractual Requirements Professional Ethics of Risk Management IT RISK ASSESSMENT - a. IT Risk Identification Risk Events (e.g., contributing conditions, loss result) Threat Modelling and Threat Landscape Vulnerability and Control Deficiency Analysis (e.g., root cause analysis) Risk Scenario Development IT RISK ASSESSMENT - b. IT Risk Analysis and Evaluation Risk Assessment Concepts, Standards, and Frameworks Risk Register Risk Analysis Methodologies Business Impact Analysis Inherent and Residual Risk RISK RESPONSE AND REPORTING - a. Risk Response Risk Treatment / Risk Response Options Risk and Control Ownership Third-Party Risk Management Issue, Finding, and Exception Management Management of Emerging Risk RISK RESPONSE AND REPORTING - b. Control Design and Implementation Control Types, Standards, and Frameworks Control Design, Selection, and Analysis Control Implementation Control Testing and Effectiveness Evaluation RISK RESPONSE AND REPORTING - c. Risk Monitoring and Reporting Risk Treatment Plans Data Collection, Aggregation, Analysis, and Validation Risk and Control Monitoring Techniques Risk and Control Reporting Techniques (heatmap, scorecards, dashboards) Key Performance Indicators Key Risk Indicators (KRIs) Key Control Indicators (KCIs) INFORMATION TECHNOLOGY AND SECURITY - a. Information Technology Principles Enterprise Architecture IT Operations Management (e.g., change management, IT assets, problems, incidents) Project Management Disaster Recovery Management (DRM) Data Lifecycle Management System Development Life Cycle (SDLC) Emerging Technologies INFORMATION TECHNOLOGY AND SECURITY - b. Information Security Principles Information Security Concepts, Frameworks, and Standards Information Security Awareness Training Business Continuity Management Data Privacy and Data Protection Principles

SAFe® Agile Software Engineering: In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality

Duration 3 Days 18 CPD hours This course is intended for The intended audience for this course is information security and IT professionals, such as network administrators and engineers, IT managers, and IT auditors, and other individuals who want to learn more about information security, who are interested in learning in-depth information about information security management, who are looking for career advancement in IT security, or who are interested in earning the CISM certification. Overview Establish and maintain a framework to provide assurance that information security strategies are aligned with business objectives and consistent with applicable laws and regulations. Identify and manage information security risks to achieve business objectives. Create a program to implement the information security strategy. Implement an information security program. Oversee and direct information security activities to execute the information security program. Plan, develop, and manage capabilities to detect, respond to, and recover from information security incidents. In this course, students will establish processes to ensure that information security measures align with established business needs. Prerequisites Information security governance Information risk management Information security program development Information security program management Incident management and response 1 - Information Security Governance Develop an Information Security Strategy Align Information Security Strategy with Corporate Governance Identify Legal and Regulatory Requirements Justify Investment in Information Security Identify Drivers Affecting the Organization Obtain Senior Management Commitment to Information Security Define Roles and Responsibilities for Information Security Establish Reporting and Communication Channels 2 - Information Risk Management Implement an Information Risk Assessment Process Determine Information Asset Classification and Ownership Conduct Ongoing Threat and Vulnerability Evaluations Conduct Periodic BIAs Identify and Evaluate Risk Mitigation Strategies Integrate Risk Management into Business Life Cycle Processes Report Changes in Information Risk 3 - Information Security Program Development Develop Plans to Implement an Information Security Strategy Security Technologies and Controls Specify Information Security Program Activities Coordinate Information Security Programs with Business Assurance Functions Identify Resources Needed for Information Security Program Implementation Develop Information Security Architectures Develop Information Security Policies Develop Information Security Awareness, Training, and Education Programs Develop Supporting Documentation for Information Security Policies 4 - Information Security Program Implementation Integrate Information Security Requirements into Organizational Processes Integrate Information Security Controls into Contracts Create Information Security Program Evaluation Metrics 5 - Information Security Program Management Manage Information Security Program Resources Enforce Policy and Standards Compliance Enforce Contractual Information Security Controls Enforce Information Security During Systems Development Maintain Information Security Within an Organization Provide Information Security Advice and Guidance Provide Information Security Awareness and Training Analyze the Effectiveness of Information Security Controls Resolve Noncompliance Issues 6 - Incident Management and Response Develop an Information Security Incident Response Plan Establish an Escalation Process Develop a Communication Process Integrate an IRP Develop IRTs Test an IRP Manage Responses to Information Security Incidents Perform an Information Security Incident Investigation Conduct Post-Incident Reviews

SAFe® Agile Software Engineering: Virtual In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality

Satellite comms training course description A theory based course providing a foundation in how satellite communication systems work and the terminology used in the field. What will you learn Describe the satellite communications architecture. Recognise where to use satellite communication systems. Explain how satellite communications systems work. Satellite comms training course details Who will benefit: Anyone working with satellite systems. Prerequisites: None. Duration 2 days Satellite comms training course contents Satellite systems architecture Suppliers, bearers, teleports, subscribers, components, how satellite communications works. Terminals Antenna, VSAT, circulators, filters, LNA, HPA, up/ down converters, modems. Satellites Satellite components, payloads, satellite types: GEO and non-GEO. Satellite transmission Satellite C and Ku bands, Modulation, AM, FM, PSK, QPSK, FDMA, CDMA. Satellite services Regulatory issues; DVB and video distribution via satellite; how reporters uplink news, Internet services over DVB; broadband services; multicast internet services via satellite; multimedia meshed networking using VSATs; military small terminal satcoms. Satellite engineering Link budgets, Spectrum analysis, Power meter

Duration 3 Days 18 CPD hours This course is intended for This advanced course is for Infrastructure Specialist, Senior Technical Specialist,Technical Specialist, Support Engineers, and System Architects. Overview Understand the MDM Architecture and how the Physical, Virtual and Hybrid MDM handles a service request Understand the core Workbench features available for the InfoSphere MDM Understand how MDM using OSGi for deploying customizations to the product Create a new Physical MDM Entity using the Workbench Wizard Extend an existing Physical MDM Entity using the Workbench Wizard Extend an existing Physical MDM Service using the Workbench Wizard Create a new Composite Service using a transiant object containing other existing business objects Customize and deploy a Virtual configuration Create a new Virtual Callout Handler Create a new Virtual Composite View Generate new Services based on the Virtual configuration (eSOA) Customize a Hybrid MDM implementation Understand the Adaptive Service Interface (ASI) This course is designed for anyone who wants to get an understanding of how to use and customize the InfoSphere Master Data Management using the InfoSphere MDM Workbench InfoSphere MDM Architecture . OSGi and MDM . Data Additions . Physical Data Extensions . MDM Physical Behavior Extensions . Composite Services . Adaptive Services Interface (ASI) . Virtual Data Model . Virtual Handlers . eSOA Toolkit . Hybrid MDM .

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.

EnergyEdge's course empowers you with in-depth knowledge of deepwater turbidites. Acquire the necessary skills and knowledge to excel in this specialized field of study.

NFV training course description Network Functions Virtualization (NFV) brings many benefits, this training course cuts through the hype and looks at the technology, architecture and products available for NFV. What will you learn Explain how NFV works. Describe the architecture of NFV. Explain the relationship between NFV and SDN. Recognise the impact NFV will have on existing networks. NFV training course details Who will benefit: Anyone wishing to know more about NFV. Prerequisites: Introduction to Virtualization. Duration 2 days NFV training course content Introduction What is NfV? What are network Functions? NfV benefits, NfV market drivers. ETSI NfV framework. Virtualization review Server, storage and network virtualization and NfV. Virtual machines, containers and docker. Data centres, clouds, SaaS, IaaS, PaaS. Virtualization of Network Functions Network virtualization versus Network Function virtualization. ETSI NfV architecture ETSI documents, Architecture overview, compute domain, hypervisor domain, infrastructure network domain. IETF and NfV Creating services, Service Functions, Service Function Chaining. SPRING and source packet routing. YANG and NetConf. RESTCONF. VLANs, VPNs, VXLAN. MANO Management and Orchestration. OpenStack, OpenDaylight PaaS and NfV. The VNF domain. Service graphs, MANO descriptors, Open orchestration. The virtualization layer VM centric model, containers versus hypervisors, FD.io. Summary Deploying NfV, performance, testing. Futures.