1555 Manager courses in Poynton delivered Live Online

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.

This comprehensive course covers all Scrum principles and frameworks necessary to help participants understand how to guide a team and manage projects in a fast-paced agile environment. The course is meant for professionals who want to attain the certification of Scrum Master with deep insight into how AI can be utilized in increasing the effectiveness of agile practices. In addition to mastery of the core Scrum methodology, participants will be taken through state-of-the-art advancements in AI and machine learning in order to understand how these technologies can automate routine tasks, enhance decision-making, and continuous improvement. Real-world case studies and hands-on exercises will illustrate how to practically apply AI within Scrum to realize high efficiency and innovation for teams. Whether for enhancing one's career as a Scrum Master or the integration of AI into Agile practices, this course provides that ideal combination of conceptual theory and practical skills, assuring success in today's technology-driven world. Key Highlights: Certified Scrum Master training with AI applications Case studies in the real world about integrating AI in Scrum Hands-on projects to implement AI-driven tools and methodologies Workflow optimization techniques that ensure better collaboration of agile teams, with speeding up project delivery by the power of AI. Ideal for Scrum Masters, Agile Coaches, Product Owners, and tech pros looking to stay ahead.

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.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Individuals planning to deploy applications and create application environments on Google Cloud Platform Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs. Overview This course teaches participants the following skills: Identify Google Cloud counterparts for Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing,storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This 1-day instructor led course introduces Azure professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for Azure system administrators, Solution Architects and SysOps Administrators familiar with Azure features and setup; and want to gain experience configuring Google Cloud products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Identify the purpose of projects on Google Cloud. Understand how Azure's resource hierarchy differs from Google Cloud's Understand the purpose of and use cases for Identity and Access Management. Understand how Azure AD differs from Google Cloud IAM. List the methods of interacting with Google Cloud. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine Understand the basics of networking in Google Cloud. Understand how Azure VPC differs from Google VPC. Understand the similarities and differences between Azure VM and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in Azure. Deploy applications using Google Compute Engine Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Azure Blob compares to Cloud Storage. Compare Google Cloud?s managed database services with Azure SQL. Learn how to choose among the various storage options on Google Cloud. Load data from Cloud Storage into BigQuery Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Azure Kubernetes Service differs from from Google Kubernetes Engine. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Azure App Service. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Google Cloud Deployment Manager differs from Azure Resource Manager. Understand the purpose of integrated monitoring, alerting, and debugging Understand how Google Monitoring differs from Azure Application Insights and Azure Log Analytics. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from Azure Data Lake. Understand how Google Cloud Pub/Sub differs from Azure Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from Azure's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from Azure to Google Cloud.

5-day intensive data protection course, delivered by a specialist.

About this Virtual Instructor Led Training (VILT)  This 2-half-day Virtual Instructor Led Training (VILT) course will discuss the chemical aspects of the water-steam cycle in a power plant. The VILT course will examine the different types of chemicals used in boilers, potential issues in a water-steam cycle as well as aspects of monitoring and specifications regarding target values and alarm levels. Participants will also be equipped on what to do or key action steps to take in the event of chemistry-related incidents. This course is delivered in partnership with ENGIE Laborelec. Training Objectives The VILT course will cover the following: Detailed aspects of chemistry in a water steam cycle, including types of chemicals used in boilers depending on the treatment and type of boiler Potential issues in a water-steam cycle such as corrosion and deposition Monitoring & analytical programmes and knowledge of specifications for the water steam cycle (normal values targets - alarm levels) Chemistry aspects during transition periods: start-up, shutdown and preservation Actions to be taken in the event of an alarm Examples of incidents or deviations compared to normal chemistry Target Audience The VILT course is intended for: Power plant chemists Plant operation or maintenance engineers Consultants and technical project managers Boiler engineers Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Your expert course leader is a chemistry consultant in the energy sector. He works with operators of power plants and industrial facilities. He is active in water-steam cycle chemistry, where he provides support to increase chemistry maturity through audits, trainings or development of key performance indicators. His role also includes operational assistance in the field of chemical cleaning and troubleshooting. More recently, he expanded his field of competence towards electrical storage. In this regard, he specializes in electrochemistry and is in charge of different tests on batteries and their components within the ENGIE Batteries Lab. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is any IT, facilities or data centre professional who works in and around the data centre and has the responsibility to achieve and improve efficiency and environmental sustainability, whilst maintaining the availability and manageability of the data centre. Overview After completion of the course the participant will be able to: Understand the impact of data centres on the environment Describe the various environmental/energy management standards Understand the purpose and goals of the legally binding international treaties on climate change Implement various sustainable performance metrics and how to use them in the data centre environment Manage data centre environmental sustainability using international standards Set up the measurement, monitoring and reporting of energy usage Use power efficiency indicators in a variety of data centre designs Use best practices for energy savings in the electrical infrastructure and in the mechanical (cooling) infrastructure Use best practices for energy savings for the ICT equipment and data storage Understand the importance of water management and waste management Understand the different ways to use sustainable energy in the data centre Get practical tips and innovative ideas to make a data centre more sustainable The CDESS© course is aimed at providing knowledge of the standards and guidelines related to environmental sustainability, and how to move your data centre (existing or new) to a more environmentally sustainable design and operations. Impact of Data Centres on the Environment Predictions in 2010 Current situation Outlook and commitments What is Environmental Sustainability The importance of sustainability Senior management commitment Environmental sustainability framework Sustainability policies Performance standards and metrics Information policies Transparency Awareness Service charging models Environmental Management Environmental sustainability framework (ISO 14001) Standards and guidelines ? ISO 50001 / ISO 30134 Measurement and categories Baselining Trend analysis Reporting Power Effiðciency Indicators Various eðfficiency indicators Power Usage Effectiveness (PUE) PUE measurement levels Factors affecting PUE Measurement points and intervals PUE in mixed source environments Measuring PUE in a mixed-use building PUE reporting Impact of PUE after optimising IT load Electrical Energy Savings (Electrical) Identifying the starting point for saving energy Sizing of power DC power Generators UPS systems Power Factor (PF) Energy savings on lighting Electrical Energy Savings (Mechanical) Energy savings on the cooling infrastructure Temperature and humidity setpoints Various energy eðcient cooling technologies Energy savings on the airflow Liquid cooling Energy reusage PUE, ERE/ERF and Control Volume Electrical Energy Savings (ICT) Procurement IT equipment energy eðfficiency ITEEsv, SMPE, SMPO IT equipment utilisation Server virtualisation Open compute project Electrical Energy Savings (Data Storage) Data management Data storage management Data storage equipment effiðciency Water Management Water Usage Effectiveness (WUE) Improving WUE Water usage at the power generation source Energy Water Intensity Factor (EWIF) Waste Management Waste management policies Life-cycle assessment (Cradle to the grave) 3 R?s for waste management Reduce Reuse Second-hand market Recycle Sustainable Energy Usage Sustainable energy sources Power purchase agreements Energy attribute certificates Renewable Energy Factor (REF) Matching renewable energy supply and demand Sustainable energy storage Carbon trading Automated Environmental Management Systems Use of AI and machine learning Load migration Data Centre Infrastructure Management (DCIM) solutions

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.

My popular 'Getting Started in Data Governance' course is making it's way across the pond!

Duration 3 Days 18 CPD hours This course is intended for This course is designed for anyone currently working on Agile-based projects or having experience with other forms of project management experience and want to add Agile PM skills and knowledge to their portfolio. Anyone with any experience in project-based work, either from the customer or supplier side can benefit from this course, including but not limited to: project manager, team leaders and managers or project employees. Overview AgilePM ™ certification is the result of collaboration between APMG-International and the DSDM Consortium. DSDM (Dynamic Systems Development Method) is the longest existing Agile method and the only Agile method aimed at managing Agile projects. It Has evolved over the years into a Project Framework, and AgilePM is a subset tailored to the Agile project manager. Students will be explained how the model is set up, how the different project activities and project roles are connected and how AgilePM handles project management. This course provides preparation for the Foundation exam of APMG. Training Day 1 - AgilePM Foundation Topics What is Agile? Choosing an appropriate Agile approach philosophy, principles and project variables preparing for success The DSDM Process Training Day 2 - AgilePM Foundation Topics The People ? DSDM Roles and Responsibilities The DSDM Products Key practices ? prioritization and timeboxes Training Day 3 - AgilePM Foundation Topics Planning and control throughout the lifecycle Other practices: facilitated workshops, modeling and iterative development