38 Blueprint courses in Cardiff delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and system integrators responsible for using the advanced features of vRealize Automation in enterprise deployments. Overview By the end of the course, you should be able to meet the following objectives Describe and configure the vRealize Automation in a clustered enterprise deployment using VMware vRealize Suite Lifecycle Manager™ Scale VMware Identity Manager™ to support High Availability. Configure security certificates in vRealize Automation from external Certificate Authorities. Describe the clustered deployment architecture, including Kubernetes pods and services. Create and configure advanced blueprints with complex YAML and cloudConfig. Use vRealize Automation advanced blueprints to deploy an actual 2-tier DB-Server using MySQL and phpMyAdmin. Practice troubleshooting techniques with advanced YAML blueprints in vRealize Automation. Use advanced VMware NSX-TTM Data Center networking features including NAT, routed networks, load balancers, security groups, and tags. Use VMware Code Stream™ to integrate vRealize Automation with Kubernetes. Create Code Stream pipelines. Create and use Ansible playbooks that integrate with vRealize Automation. Configure vRealize Automation to integrate with Puppet. Configure and use ABX actions to create day-2 actions and interface with PowerShell scripts. Use vracli commands, log files, and VMware vRealize Log Insight™ to troubleshoot vRealize Automation and vRealize Automation deployments. This five-day course is a follow-on to the VMware vRealize© Automation? Install, Configure, Manage course. In this course you go deeper into the advanced features of vRealize Automation to deploy user systems and interface vRealize Automation with other platforms and you learn how to deploy an enterprise-level cluster environment using LCM. This course relies heavily on hands-on labs. Course Introduction Introductions and course logistics Course objectives vRealize Automation Clustered Deployment Use LCM in a clustered deployment Configure External Certificates Configure NSX-T Data Center load balancer Install vRealize Automation using Clustered Deployment Scale VMware Identity Manager to support High Availability vRealize Automation Clustered Deployment Architecture List of Kubernetes Pods The vRealize Automation Kubernetes Architecture Relationship of Kubernetes Pods to Services Logs and their locations Blueprint deployment workflow with Kubernetes Service interaction Backup strategies and potential problems Advanced Blueprints Use advanced YAML and cloudConfig to deploy a functioning 2-tier application with a phpMyAdmin front-end server and a MySQL database server Use troubleshooting techniques to debug problems in advanced YAML blueprints List the log files that can aid in troubleshooting blueprint deployment Advanced Networking Use VMware NSX-T Data Center advanced features in blueprints Interfacing to IPAMs Use NSX-T Data Center NAT in blueprints Use NSX-T Data Center routed networks Use NSX-T Data Center load balancers Use NSX-T Data Center security groups Use tags with NSX-T Data Center network profiles Using vRealize Orchestrator Create Day-2 Actions with vRealize Orchestrator workflows Troubleshoot vRealize Orchestrator cluster issues Use vRealize Orchestrator to add computer objects to Active Directory when vRealize Automation deploys blueprints Use a tagging approach to vRealize Orchestrator workflows Use dynamic forms with vRealize Orchestrator Using ABX Actions Determine when to use ABX and when to use vRealize Orchestrator Use ABX to create day-2 Actions Call PowerShell from ABX Kubernetes Integration Create a Kubernetes namespace from vRealize Automation Connect to an existing Kubernetes cluster Automate the deployment of an application to a Kubernetes cluster with Code Stream Use Kubernetes in Extensibility Code Stream Create and use CI/CD pipelines Use the Code Stream user interface Add states and tasks to a Code Stream pipeline Integrate code from Code Stream with Git Using GitLab Integration Configure the GitLab Integration Use Gitlab with blueprints Configuration Management Describe the use case of Ansible and Ansible Tower Connect to Ansible Tower Use Ansible playbooks Use Puppet in configuration management Troubleshooting vracli commands and when to use them Check the status of Kubernetes pods and services Correct the state of pods and services Diagnose and solve vRealize Automation infrastructure problems Diagnose and solve vRealize Automation failures to deploy blueprints and services Use vRealize Log Insight for troubleshooting Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] 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 VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] 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 designed for integration developers who configure service policies on IBM© DataPower Gateways. Overview After completing this course, you should be able to: Describe how DataPower gateways are configured Create and configure cryptographic objects Configure Secure Sockets Layer (SSL) to and from DataPower gateways Configure a multi-protocol gateway (MPGW) to handle multiple protocols from a single service Configure a service level monitoring (SLM) policy to control message traffic Use logs and probes to troubleshoot services Use patterns to define and deploy new services Configure message transformation and routing by using style sheets (XSL) and GatewayScripts Handle errors in service policies This course teaches you the essential skills that are required to configure, implement, and troubleshoot services that are developed on the IBM© DataPower Gateways (IDG) with firmware version 7.5.0, regardless of use case. The DataPower Gateways allow an enterprise to simplify, accelerate, and enhance the security capabilities of its XML and web services deployments, and extend the capabilities of its service-oriented architecture (SOA) infrastructure. The gateways also extend these capabilities into the JSON, REST, and Mobile application areas. Through a combination of instructor-led lectures and hands-on lab exercises, you learn how to develop and debug services that are implemented on the DataPower gateways. These skills include WebGUI and Blueprint Console navigation, service type selection, basic multi-protocol gateway configuration, creating and using cryptographic objects, and configuring SSL connections. You also learn how to use various problem determination tools such as logs, monitors, and probes, and techniques for testing DataPower services and handling errors. Hands-on exercises give you experience working directly with a DataPower Gateway. The exercises focus on skills such as creating multi-protocol gateways, working with cryptographic and SSL objects, configuring service level monitoring, troubleshooting services, handling errors in a service policy, and deploying a service from a pattern. Course introductionQuick introduction to developing on DataPowerExercise: First exposure to the DataPower developer environmentServices overviewStructure of a serviceExercise: Creating a BookingService gatewayMulti-protocol gateway serviceProblem determination toolsExercise: Enhancing the BookingService gatewayHandling errors in a service policyExercise: Adding error handling to a service policyDataPower cryptographic tools and SSL setupExercise: Creating cryptographic objects and configuring SSLService level monitoringExercise: Implementing a service level monitor in a multi-protocol gatewayPatterns for service configurationExercise: Using a DataPower pattern to deploy a serviceCourse summary

Duration 4 Days 24 CPD hours This course is intended for This course is for IT Professionals with expertise in designing and implementing solutions running on Microsoft Azure. They should have broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. Azure Solution Architects use the Azure Portal and as they become more adept they use the Command Line Interface. Candidates must have expert-level skills in Azure administration and have experience with Azure development processes and DevOps processes. Overview Recommend solutions to minimize costs Recommend a solution for Conditional Access, including multi-factor authentication Recommend a solution for a hybrid identity including Azure AD Connect and Azure AD Connect Recommend a solution for using Azure Policy Recommend a solution that includes KeyVault Recommend a solution that includes Azure AD Managed Identities Recommend a storage access solution Design an Azure Site Recovery solution Recommend a solution for autoscaling Recommend a solution for containers Recommend a solution for network security Recommend a solution for migrating applications and VMs Recommend a solution for migration of databases This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include design considerations related to logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. This role requires decisions in multiple areas that affect an overall design solution. Design a Compute Solution Recommend a Solution for Compute Provisioning Determine Appropriate Compute Technologies Recommend a Solution for Containers Recommend a Solution for Automating Compute Management Design a Network Solution Recommend a Solution for Network Addressing and Name Resolution Recommend a Solution for Network Provisioning Recommend a Solution for Network Security Recommend a Solution for iInternete Connectivity and On-Premises Networks Recommend a Solution for Automating Network Management Recommend a Solution for Load Balancing and Rraffic Routing Design for Migration Assess and On-Premises Servers and Applications for Migration Recommend a Solution for Migrating Applications and VMs Recommend a Solution for Migration of Databases Design Authentication and Authorization Tips for Identity and Access Management Recommend a Solution for Multi-Factor Authentication Five Steps for Securing Identity Infrastructure Recommend a Solution for Single-Sign On (SSO) Recommend a Solution for a Hybrid Identity Recommend a Solution for B2B Integration Recommend a Hierarchical Structure for Management Groups Design Governance Recommend a Solution for using Azure Policy Recommend a Solution for using Azure Blueprint Design a Solution for Databases Select an Appropriate Data Platform Based on Requirements Overview of Azure Data Storage Recommend Database Service Tier Sizing Dynamically Scale Azure SQL Database and Azure SQL Managed Instances Recommend a Solution for Encrypting Data at Rest, Transmission, and In Use Select an Appropriate Storage Account Understanding Storage Tiers Recommend a Storage Access Solution Recommend Storage Management Tools Design Data Integration Recommend a Data Flow Recommend a Solution for Data Integration Design a Solution for Logging and Monitoring Azure Monitoring Services Azure Monitor Design a Solution for Backup and Recovery Recommend a Recovery Solution for Hybrid and On-Premises Workloads Design and Azure Site Recovery Solution Recommend a Solution for Recovery in Different Regions Recommend a Solution for Azure Backup Management Design a Solution for Data Archiving and Retention Design for High Availability Recommend a Solution for Application and Workload Redundancy Recommend a Solution for Autoscaling Identify Resources that Require High Availability Identify Storage Tpes for High Availability Recommend a Solution for Geo-Redundancy of Workloads Design for Cost Optimization Recommend Solutions for Cost Management Recommended Viewpoints for Minimizing Costs Design an Application Architecture Recommend a Microservices Architecture Recommend an Orchestration Solution for Deployment of Applications Recommend a Solution for API Integration Design Security for Applications Security for Applications and Services Recommend a Solution using Key Vault Recommend Solutions using Azure AD Managed Identities

Duration 4 Days 24 CPD hours This course is intended for Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam. This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms Prerequisites Successful learners will have prior knowledge and understanding of: Cloud computing concepts, including an understanding of PaaS, SaaS, and IaaS implementations. Both Azure administration and Azure development with proven expertise in at least one of these areas. Version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software. AZ-104T00 - Microsoft Azure Administrator AZ-204T00: Developing Solutions for Microsoft Azure 1 - Introduction to DevOps What is DevOps? Explore the DevOps journey Identify transformation teams Explore shared goals and define timelines 2 - Choose the right project Explore greenfield and brownfield projects Decide when to use greenfield and brownfield projects Decide when to use systems of record versus systems of engagement Identify groups to minimize initial resistance Identify project metrics and key performance indicators (KPIs) 3 - Describe team structures Explore agile development practices Explore principles of agile development Define organization structure for agile practices Explore ideal DevOps team members Enable in-team and cross-team collaboration Select tools and processes for agile practices 4 - Choose the DevOps tools What is Azure DevOps? What is GitHub? Explore an authorization and access strategy Migrate or integrate existing work management tools Migrate or integrate existing test management tools Design a license management strategy 5 - Plan Agile with GitHub Projects and Azure Boards Link GitHub to Azure Boards Configure GitHub Projects Manage work with GitHub Project boards Customize Project views Collaborate using team discussions Agile Plan and Portfolio Management with Azure Boards 6 - Introduction to source control Explore DevOps foundational practices What is source control? Explore benefits of source control Explore best practices for source control 7 - Describe types of source control systems Understand centralized source control Understand distributed source control Explore Git and Team Foundation Version Control Examine and choose Git Understand objections to using Git Describe working with Git locally 8 - Work with Azure Repos and GitHub Migrate from TFVC to Git Use GIT-TFS Develop online with GitHub Codespaces 9 - Structure your Git Repo Explore monorepo versus multiple repos Implement a change log 10 - Manage Git branches and workflows Explore branch workflow types Explore feature branch workflow Explore Git branch model for continuous delivery Explore GitHub flow Explore fork workflow Version Control with Git in Azure Repos 11 - Collaborate with pull requests in Azure Repos Collaborate with pull requests Examine GitHub mobile for pull request approvals 12 - Identify technical debt Examine code quality Examine complexity and quality metrics Measure and manage technical debt Integrate other code quality tools Plan effective code reviews 13 - Explore Git hooks Implement Git hooks 14 - Plan foster inner source Explore foster inner source Implement the fork workflow Describe inner source with forks 15 - Manage Git repositories Work with large repositories Purge repository data Manage releases with GitHub Repos Automate release notes with GitHub 16 - Explore Azure Pipelines Explore the concept of pipelines in DevOps Describe Azure Pipelines Understand Azure Pipelines key terms 17 - Manage Azure Pipeline agents and pools Choose between Microsoft-hosted versus self-hosted agents Explore job types Explore predefined agent pool Understand typical situations for agent pools Communicate with Azure Pipelines Communicate to deploy to target servers Examine other considerations Describe security of agent pools Configure agent pools and understanding pipeline styles 18 - Describe pipelines and concurrency Understand parallel jobs Estimate parallel jobs Describe Azure Pipelines and open-source projects Explore Azure Pipelines and Visual Designer Describe Azure Pipelines and YAML 19 - Explore continuous integration Learn the four pillars of continuous integration Explore benefits of continuous integration Describe build properties Enable Continuous Integration with Azure Pipelines 20 - Implement a pipeline strategy Configure agent demands Implement multi-agent builds Explore source control types supported by Azure Pipelines 21 - Integrate with Azure Pipelines Describe the anatomy of a pipeline Understand the pipeline structure Detail templates Explore YAML resources Use multiple repositories in your pipeline 22 - Introduction to GitHub Actions What are Actions? Explore Actions flow Understand workflows Describe standard workflow syntax elements Explore events Explore jobs Explore runners Examine release and test an action 23 - Learn continuous integration with GitHub Actions Describe continuous integration with actions Examine environment variables Share artifacts between jobs Examine Workflow badges Describe best practices for creating actions Mark releases with Git tags Create encrypted secrets Use secrets in a workflow Implement GitHub Actions for CI/CD 24 - Design a container build strategy Examine structure of containers Work with Docker containers Understand Dockerfile core concepts Examine multi-stage dockerfiles Examine considerations for multiple stage builds Explore Azure container-related services Deploy Docker containers to Azure App Service web apps 25 - Introduction to continuous delivery Explore traditional IT development cycle What is continuous delivery? Move to continuous delivery Understand releases and deployments Understand release process versus release 26 - Create a release pipeline Describe Azure DevOps release pipeline capabilities Explore release pipelines Explore artifact sources Choose the appropriate artifact source Examine considerations for deployment to stages Explore build and release tasks Explore custom build and release tasks Explore release jobs Configure Pipelines as Code with YAML 27 - Explore release recommendations Understand the delivery cadence and three types of triggers Explore release approvals Explore release gates Use release gates to protect quality Control Deployments using Release Gates 28 - Provision and test environments Provision and configure target environments Configure automated integration and functional test automation Understand Shift-left Set up and run availability tests Explore Azure Load Testing Set up and run functional tests 29 - Manage and modularize tasks and templates Examine task groups Explore variables in release pipelines Understand variable groups 30 - Automate inspection of health Automate inspection of health Explore events and notifications Explore service hooks Configure Azure DevOps notifications Configure GitHub notifications Explore how to measure quality of your release process Examine release notes and documentation Examine considerations for choosing release management tools Explore common release management tools 31 - Introduction to deployment patterns Explore microservices architecture Examine classical deployment patterns Understand modern deployment patterns 32 - Implement blue-green deployment and feature toggles What is blue-green deployment? Explore deployment slots Describe feature toggle maintenance 33 - Implement canary releases and dark launching Explore canary releases Examine Traffic Manager Understand dark launching 34 - Implement A/B testing and progressive exposure deployment What is A/B testing? Explore CI-CD with deployment rings 35 - Integrate with identity management systems Integrate GitHub with single sign-on (SSO) Explore service principals Explore Managed Identity 36 - Manage application configuration data Rethink application configuration data Explore separation of concerns Understand external configuration store patterns Examine Key-value pairs Examine App configuration feature management Integrate Azure Key Vault with Azure Pipelines Manage secrets, tokens and certificates Examine DevOps inner and outer loop Integrate Azure Key Vault with Azure DevOps Enable Dynamic Configuration and Feature Flags 37 - Explore infrastructure as code and configuration management Explore environment deployment Examine environment configuration Understand imperative versus declarative configuration Understand idempotent configuration 38 - Create Azure resources using Azure Resource Manager templates Why use Azure Resource Manager templates? Explore template components Manage dependencies Modularize templates Manage secrets in templates Deployments using Azure Bicep templates 39 - Create Azure resources by using Azure CLI What is Azure CLI? Work with Azure CLI 40 - Explore Azure Automation with DevOps Create automation accounts What is a runbook? Understand automation shared resources Explore runbook gallery Examine webhooks Explore source control integration Explore PowerShell workflows Create a workflow Examine checkpoint and parallel processing 41 - Implement Desired State Configuration (DSC) Understand configuration drift Explore Desired State Configuration (DSC) Explore Azure Automation State configuration (DSC) Examine DSC configuration file Explore hybrid management Implement DSC and Linux Automation on Azure 42 - Implement Bicep What is Bicep? Install Bicep Understand Bicep file structure and syntax 43 - Introduction to Secure DevOps Describe SQL injection attack Understand DevSecOps Explore Secure DevOps Pipeline Explore key validation points Explore continuous security validation Understand threat modeling 44 - Implement open-source software Explore how software is built What is open-source software Explore corporate concerns with open-source software components Explore common open-source licenses Examine license implications and ratings 45 - Software Composition Analysis Inspect and validate code bases for compliance Explore software composition analysis (SCA) Integrate Mend with Azure Pipelines Implement GitHub Dependabot alerts and security updates Integrate software composition analysis checks into pipelines Examine tools for assess package security and license rate Interpret alerts from scanner tools Implement security and compliance in an Azure Pipeline 46 - Static analyzers Explore SonarCloud Explore CodeQL in GitHub Manage technical debt with SonarCloud and Azure DevOps 47 - OWASP and Dynamic Analyzers Plan Implement OWASP Secure Coding Practices Explore OWASP ZAP penetration test Explore OWASP ZAP results and bugs 48 - Security Monitoring and Governance Implement pipeline security Explore Microsoft Defender for Cloud Examine Microsoft Defender for Cloud usage scenarios Explore Azure Policy Understand policies Explore initiatives Explore resource locks Explore Azure Blueprints Understand Microsoft Defender for Identity 49 - Explore package dependencies What is dependency management? Describe elements of a dependency management strategy Identify dependencies Understand source and package componentization Decompose your system Scan your codebase for dependencies 50 - Understand package management Explore packages Understand package feeds Explore package feed managers Explore common public package sources Explore self-hosted and SaaS based package sources Consume packages Publish packages Package management with Azure Artifacts 51 - Migrate consolidating and secure artifacts Identify existing artifact repositories Migrate and integrating artifact repositories Secure access to package feeds Examine roles Examine permissions Examine authentication 52 - Implement a versioning strategy Understand versioning of artifacts Explore semantic versioning Examine release views Promote packages Explore best practices for versioning 53 - Introduction to GitHub Packages Publish packages Install a package Delete and restore a package Explore package access control and visibility 54 - Implement tools to track usage and flow Understand the inner loop Explore Azure Monitor and Log Analytics Examine Kusto Query Language (KQL) Explore Application Insights Implement Application Insights Monitor application performance with Application Insights 55 - Develop monitor and status dashboards Explore Azure Dashboards Examine view designer in Azure Monitor Explore Azure Monitor workbooks Explore Power BI Build your own custom application 56 - Share knowledge within teams Share acquired knowledge within development teams Integrate with Azure Boards Share team knowledge using Azure Project Wiki 57 - Design processes to automate application analytics Explore rapid responses and augmented search Integrate telemetry Examine monitoring tools and technologies 58 - Manage alerts, blameless retrospectives and a just culture Examine when get a notification Explore how to fix it Explore smart detection notifications Improve performance Understand server response time degradation Reduce meaningless and non-actionable alerts Examine blameless retrospective Develop a just culture

Duration 3 Days 18 CPD hours This course is intended for Senior Consultants (both functional and technical) that aspire to be Solution Architects, or current Solution Architects that are new to the role. The Solution Architect is responsible for the successful design, implementation, deployment and adoption of an overall solution. The Solution Architect ensures that the solution meets the customer?s needs now and in the future. In this course, students will learn about decisions a Solution Architect makes during an implementation, covering security, integrations, Power Apps architecture, Power Automate architecture, and more. This course is designed to give you an introduction to the Solution Architect role. Becoming a Solution Architect/Getting to know your customer Define a Solution Architect Role of a Solution Architect on projects Project Methodology Getting to know your customer Group exercise - Getting to know your customer Conceptualizing the design from requirements How to lead the requirement collection effort Using fit gap analysis Pillars of good architecture Blueprinting the solution architecture Group exercise - Design from requirements Project governance and working as a team Solution Architect's role in project governance Techniques for keeping a project on track Scenarios that could cause a project to fail Group exercise - Project governance and working as a team Power Platform Architecture Key Power Platform architecture components Understand how platform design and limits influence solution architectures Updates and feature releases Understand how to communicate how the platform meets customer needs Data Modeling Data model influences Data model strategy Data types Data relationships Group exercise - Data modeling Analytics and artificial intelligence Planning and evaluating requirements Operational reporting Power BI Enterprise BI Pre-built insights and custom AI Power Apps Architecture Discuss options for apps and how to choose where to start Discuss app composition options Using components as part of your app architecture Considerations for including Portals as an app in your architecture Group exercise - Power Apps Architecture topics Application Lifecycle Management (ALM) Microsoft vision and Solution Architect's role in ALM Environment strategies Defning a solution structure for your deliverable Power Automate Architecture Discuss options for automation and custom logic Review considerations for using triggers and common actions Explore using Business Process Flows (BPF) to guide users through business processes Group Exercise - Evaluate scenarios for Power Automate usage Security Modeling Solution Architect's role in security modeling Discovery and learning your client's environment Controlling access to environments and resources Controlling access to CDS Data Group Exercise - Security Modeling Integration Solution Architects role in Integrations What is an integration and why do we need it Platform features that enable integration CDS Event Publishing Scenarios for group discussion Dynamics 365 Applications Architecture Solution Architect's role when deploying Dynamics 365 apps Architecture Considerations for primary apps Group Exercise - App specific working groups evaluate requirements Power Virtual Agents architecture Introduction Chatbot options Chatbot concepts Best practices Integrate chatbots Power Virtual Agents in Microsoft Teams Robotic Process Automation Introduction Power Automate Desktop Recording and editing tasks Running desktop flows Process advisor Testing and Go Live Solution Architect's role with testing and go live Planning for testing Planning for go live

Landscape training face to face training customised and bespoke.

Garden design face to face training customised and bespoke.

Who is this course for? The Garden Design Training Courses are suitable for individuals interested in learning how to plan, design, and manage outdoor spaces, including public parks, gardens, parks, and commercial landscapes. Jobs: Landscape Designer, Consultant, Garden Planner, Green Space Developer, Urban Garden Designer. Click here for more info: Website Personalized 1-on-1 sessions. Book between 9 a.m. and 7 p.m., Mon to Sat. (Book anytime and day). The 40-hour program includes AutoCAD, Sketchup, Vray, IndDesign and Photoshop. Garden Design Software Training Course Options Option A: AutoCAD, Sketchup Pro, Vray, Photoshop (Total: 40 hours) AutoCAD (10 hours): Module 1: AutoCAD Fundamentals (2 hours) - Explore the AutoCAD interface and its toolset - Master drawing creation, management, and storage - Utilize essential drawing and editing commands Module 2: Drawing and Editing Mastery (3 hours) - Achieve precision drawing with lines, circles, and arcs - Create complex shapes with polylines and polygons - Proficiently use object modification tools: Move, Copy, Rotate, and Scale Module 3: Precision and Detail (3 hours) - Implement coordinate systems for accuracy - Learn dimensioning techniques and text incorporation - Elevate designs with hatching and gradients Module 4: Advanced Design Tools (2 hours) - Harness the power of blocks and attributes - Manage layers and object properties efficiently - Craft layouts and prepare for plotting Sketchup Pro (16 hours): Specializing in Garden Planning (Planting Plans, Vegetation Layouts, and Maps) Module 1: Introduction to Sketchup Pro (2 hours) - Navigate the Sketchup Pro interface - Understand essential 2D and 3D modeling concepts - Create and manipulate garden design objects Module 2: Advanced Garden Modeling (6 hours) - Sculpt intricate garden elements with curves and surfaces - Expertly edit and transform garden geometry - Focus on Planting Plans, Vegetation Layouts, and Maps Module 3: Visualization Excellence with Vray (4 hours) - Master the Vray rendering engine for lifelike garden visuals - Apply materials and textures for realism - Set up optimal lighting and camera angles for compelling garden renders Module 4: Image Enhancement through Photoshop (10 hours) - Use Photoshop for garden design refinement - Elevate garden images from Sketchup and Vray outputs - Create visually stunning presentations for garden projects Additional Resources: Gain access to invaluable resources, including free online portfolio design assistance, career growth guidance, and mock interviews, ensuring your readiness for the competitive garden design job market. Option B: AutoCAD, Rhino, Vray, Photoshop (Total: 40 hours) AutoCAD (12 hours): Module 1: AutoCAD Introduction (2 hours) - Unveil the AutoCAD interface and its feature set - Master drawing creation, management, and storage - Proficiency in fundamental drawing and editing commands Module 2: Drawing and Editing Proficiency (3 hours) - Apply precision drawing techniques, including lines, circles, and arcs - Construct complex shapes with polylines and polygons - Skillfully use object modification commands: Move, Copy, Rotate, and Scale Module 3: Precision and Detail Mastery (3 hours) - Implement coordinate systems for precision - Explore comprehensive dimensioning methods and text integration - Enhance designs with hatching and gradients Module 4: Advanced Design Tools (4 hours) - Gain expertise in blocks and attributes for efficient design - Efficiently manage layers and object properties - Craft layouts and prepare for plotting Rhino (14 hours): Module 1: Rhino Introduction (2 hours) - Navigate within the Rhino interface - Understand essential 2D and 3D modeling concepts for garden design - Create and manipulate garden design objects Module 2: Advanced Garden Modeling (6 hours) - Craft intricate garden structures using curves and surfaces - Proficiently edit and transform garden geometry - Build complex 3D garden structures Module 3: Visualization Mastery with Vray (6 hours) - Set up optimal lighting and camera angles for garden renders - Explore rendering settings and options for high-quality outputs - Learn post-production techniques and compositing for exceptional garden visuals Module 4: Image Enhancement with Photoshop (8 hours) - Utilize Photoshop for refining garden design concepts - Enhance garden images from Rhino and Vray outputs - Create visually striking garden presentations for projects Garden Design Training Course Information When Can I Book This Training Course? - Immerse yourself in a personalized training experience with our flexible 1-on-1 training sessions. - Tailor your schedule by pre-booking a convenient hour of your choice. - Available for booking from Monday to Saturday between 9 a.m. and 7 p.m. - Alternatively, you can call 02077202581 to book over the phone. Training Duration - This comprehensive course spans 40 hours, which you can split over as many days as needed to create your ideal learning schedule. Training Method - We offer 1-on-1 training, which can be conducted either in-person Face to Face or Live Online. - Expect personalized attention, customized content, a flexible learning pace, and individualized support throughout your training. - We also provide the option of Live Online 1-on-1 sessions over Zoom for added convenience. Enroll Today - If you're ready to embark on this enriching journey, click the link below to enroll in our 1-on-1 Course. Garden Design Software Training Overview In our comprehensive garden design training program, you'll cultivate your expertise using a thoughtfully selected array of industry-leading software tools, ensuring you're well-prepared to bring your garden designs to vibrant life. Option A: - AutoCAD (10 hours): Craft precise garden layouts and plans. - SketchUp (16 hours): Specialize in garden planting plans, vegetation layouts, and maps. - Vray (4 hours): Create lifelike 3D renderings of your garden designs. - Photoshop (10 hours): Enhance garden images effectively. Option B: - AutoCAD (12 hours): Develop garden blueprints with precision. - Rhino (14 hours): Master 3D modeling for intricate garden designs. - Vray (6 hours): Craft stunning 3D visualizations of your gardens. - Photoshop (8 hours): Perfect your garden design concepts. Both options accommodate Mac and Windows operating systems, ensuring accessibility for all learners. Key Benefits Price Assurance: We are committed to delivering exceptional value for your investment in a flourishing garden design career. One-on-One Training Sessions: Tailored learning experiences designed to adapt to your unique learning style. Flexible Scheduling: Choose your preferred training time and day, with availability from Monday to Sunday, spanning from 9 am to 8 pm. Lifetime Email and Phone Support: Ongoing support continues beyond your training period, facilitating your career growth. Computer Configuration Assistance: We provide guidance to ensure a seamless software installation on your computer. Referral Benefits: Enjoy special discounts when referring a friend and substantial savings on group training courses.

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

Autocad face to face training customised and bespoke. In-person