43343 Courses

Duration 5 Days 30 CPD hours This course is intended for New or junior administrators and operators; system managers accountable for staffing and training Horizon operators and administrators. Experienced system operators, administrators, and integrators responsible for managing and maintaining VMware Horizon solutions Overview By the end of the course, you should be able to meet the following objectives: Implement a structured approach to troubleshooting Resolve common issues that occur in a VMware Horizon environment Troubleshoot issues with linked and instant clones Configure the Windows client Identify the correct log level for gathering logs Optimize protocols for best end-user experience Discuss Horizon Connection Server advanced configurations List troubleshooting techniques for Horizon Connection Server common issues Interpret Horizon 8 Connection Server logs Identify Unified Access Gateway configuration and certificate issues List troubleshooting steps for Unified Access Gateway common issues Describe BLAST configuration verification using logs and settings Describe BLAST optimization recommendations for different use cases Describe Horizon 8 Connections and how to troubleshoot related issues Describe Horizon 8 certificates List troubleshooting steps for common issues with Horizon 8 certificates Leverage Horizon infrastructure troubleshooting steps to resolve issues  This five-day course builds your skills in resolving common issues that occur in a VMware Horizon© environment. You engage in a series of lab exercises to bring existing environment issues to resolution. The exercises mirror real-world troubleshooting use cases. These exercises equip learners with the knowledge and practical skills to manage typical challenges faced by virtual desktop administrators and operators and provides you with the advanced knowledge, skills, and abilities to troubleshoot VMware Horizon© 8 infrastructure related issues. This workshop teaches the required skill and competence for troubleshooting VMware Horizon© Connection Server?, VMware Unified Access Gateway?, protocols, connections, and certificates Course Introduction Introductions and course logistics Course objectives Overview of Virtual Desktop Troubleshooting Structured approach to troubleshooting configuration and operational problems Applying troubleshooting methods Documenting the steps to resolving the problem Command-Line Tools and Backup Options Using command-line tools Backing-up and restoring VMware Horizon databases Troubleshooting Horizon Linked Clone Desktops Only applicable for Horizon 7.x environments Describe the components that make up a VMware Horizon desktop Explain how the View Agent Direct-Connection plug-In is useful for diagnosing problems Highlight the best practice for optimizing a VMware Horizon desktop Troubleshoot common problems with VMware Horizon desktops Troubleshooting Instant Clones Discuss how instant clones are created Discuss what gets logged when an instant clone is created Discuss the keywords to look for in the logs when troubleshooting instant clones Discuss how to troubleshoot problems with instant clones Windows Client Correctly configure the Windows Client Identify the correct log level for gathering logs Enable the required SSL configuration level for the environment Ports and Protocols Discuss the key ports on a Horizon Environment Discuss protocols used in the Horizon Environment Understand the benefit of optimizing Blast Become familiar with the optimization features for Blast Implement GPO changes for Blast Become familiar with the causes for Black Screens Discuss how to troubleshoot Black Screen problems Identify problems encountered when applying GPOs Discuss how to troubleshoot GPO-related problems Horizon Connection Server Troubleshooting Discuss Horizon Connection Server general troubleshooting techniques Identity Horizon Connection Server common issues through logs Describe AD LDS replication Discuss Horizon Connection Server replication common issues Review and Interpret Horizon Connection Server logs Compare successful and unsuccessful logs from everyday infrastructure administration tasks Unified Access Gateway Troubleshooting List and identify common Unified Access Gateway deployment issues Monitor the Unified Access Gateway deployment to identify health and issues Identify and troubleshoot Unified Access Gateway certificate issues Monitor, test, and troubleshoot network problems Discuss general Unified Access Gateway troubleshooting processes BLAST Configuration Verification Discuss BLAST Codecs and Encoder Switch settings. Describe how to verify BLAST configuration using logs and settings BLAST Optimization List general BLAST optimization recommendations Summarize BLAST tuning recommendations that apply to WAN connections Summarize BLAST tuning recommendations that apply to work-from-home and home-office-to-cloud use cases Describe recommended tuning options to increase display protocol quality for all use cases and applications. VMware Horizon Connections Troubleshooting Explain Horizon connections Describe the role of Primary and Secondary protocols in Horizon connections Describe HTML client access connections Describe Horizon connections load balancing Describe timeout settings, supported health monitoring string, and suitable load balancer persistence values Identify troubleshooting steps for failing Horizon load balancer connections List troubleshooting steps for Horizon connections VMware Horizon Certificates Troubleshooting List Horizon certificate functions Describe Horizon certificates scenarios. Discuss potential challenges related to certificates in Horizon Describe the troubleshooting approach to Horizon certificate issues VMware Horizon Challenge Lab Leverage Horizon infrastructure troubleshooting steps to resolve issues

Duration 5 Days 30 CPD hours Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture and main components of NSX Explain the features and benefits of NSX Deploy the NSX Management cluster and VMware NSX Edge™ nodes Prepare VMware ESXi™ hosts to participate in NSX networking Create and configure segments for layer 2 forwarding Create and configure Tier-0 and Tier-1 gateways for logical routing Use distributed and gateway firewall policies to filter east-west and north-south traffic in NSX Configure Advanced Threat Prevention features Configure network services on NSX Edge nodes Use VMware Identity Manager™ and LDAP to manage users and access Explain the use cases, importance, and architecture of Federation This five-day, fast-paced course provides comprehensive training to install, configure, and manage a VMware NSX© environment. This course covers key features and functionality offered in the NSX 4.0.0.1 and NSX 4.0.1 releases, including the overall infrastructure, logical switching, logical routing, networking and security services, firewalls and advanced threat prevention, and more. Course Introduction Introductions and course logistics Course objectives VMware Virtual Cloud Network and VMware NSX Introduce the VMware Virtual Cloud Network vision Describe the NSX product portfolio Discuss NSX features, use cases, and benefits Explain NSX architecture and components Explain the management, control, data, and consumption planes and their functions. Preparing the NSX Infrastructure Deploy VMware NSX© ManagerTM nodes on ESXi hypervisors Navigate through the NSX UI Explain data plane components such as N-VDS/VDS, transport nodes, transport zones, profiles, and more Perform transport node preparation and configure the data plane infrastructure Verify transport node status and connectivity Explain DPU-based acceleration in NSX Install NSX using DPUs NSX Logical Switching Introduce key components and terminology in logical switching Describe the function and types of L2 segments Explain tunneling and the Geneve encapsulation Configure logical segments and attach hosts using NSX UI Describe the function and types of segment profiles Create segment profiles and apply them to segments and ports Explain the function of MAC, ARP, and TEP tables used in packet forwarding Demonstrate L2 unicast packet flow Explain ARP suppression and BUM traffic handling NSX Logical Routing Describe the logical routing function and use cases Introduce the two-tier routing architecture, topologies, and components Explain the Tier-0 and Tier-1 gateway functions Describe the logical router components: Service Router and Distributed Router Discuss the architecture and function of NSX Edge nodes Discuss deployment options of NSX Edge nodes Configure NSX Edge nodes and create NSX Edge clusters Configure Tier-0 and Tier-1 gateways Examine single-tier and multitier packet flows Configure static routing and dynamic routing, including BGP and OSPF Enable ECMP on a Tier-0 gateway Describe NSX Edge HA, failure detection, and failback modes Configure VRF Lite NSX Bridging Describe the function of logical bridging Discuss the logical bridging use cases Compare routing and bridging solutions Explain the components of logical bridging Create bridge clusters and bridge profiles NSX Firewalls Describe NSX segmentation Identify the steps to enforce Zero-Trust with NSX segmentation Describe the Distributed Firewall architecture, components, and function Configure Distributed Firewall sections and rules Configure the Distributed Firewall on VDS Describe the Gateway Firewall architecture, components, and function Configure Gateway Firewall sections and rules NSX Advanced Threat Prevention Explain NSX IDS/IPS and its use cases Configure NSX IDS/IPS Deploy NSX Application Platform Identify the components and architecture of NSX Malware Prevention Configure NSX Malware Prevention for east-west and north-south traffic Describe the use cases and architecture of VMware NSX© Intelligence? Identify the components and architecture of VMware NSX© Network Detection and Response? Use NSX Network Detection and Response to analyze network traffic events. NSX Services Explain and configure Network Address Translation (NAT) Explain and configure DNS and DHCP services Describe VMware NSX© Advanced Load Balancer? architecture, components, topologies, and use cases. Configure NSX Advanced Load Balancer Discuss the IPSec VPN and L2 VPN function and use cases Configure IPSec VPN and L2 VPN using the NSX UI NSX User and Role Management Describe the function and benefits of VMware Identity Manager? in NSX Integrate VMware Identity Manager with NSX Integrate LDAP with NSX Identify the various types of users, authentication policies, and permissions Use role-based access control to restrict user access Explain object-based access control in NSX NSX Federation Introduce the NSX Federation key concepts, terminology, and use cases. Explain the onboarding process of NSX Federation Describe the NSX Federation switching and routing functions. Describe the NSX Federation security concepts.

Receptionist with Agenda Organisation and Time Management Diploma Elevate your Receptionist skills with our comprehensive Receptionist with Agenda Organisation and Time Management Diploma. Master customer service, office administration, and time management as a professional Receptionist. Secure your spot to become an indispensable Receptionist today. Learning Outcomes: Identify the core roles and responsibilities of a Receptionist. Apply customer service techniques specific to a Receptionist role. Manage office administration tasks as a proficient Receptionist. Implement effective scheduling and time management as a Receptionist. Utilise productivity tools to enhance your Receptionist efficiency. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Receptionist with Agenda Organisation and Time Management Diploma: The Role and Responsibilities of a Receptionist: Understand the scope and duties that come with being a Receptionist. Customer Service Skills for a Receptionist: Develop exceptional customer service skills crucial for a Receptionist. Office Administration: Hone administrative skills and learn how to manage the front desk like a seasoned Receptionist. Scheduling and Time Management: Acquire the art of scheduling and time management to excel as a Receptionist. The Psychology of Time Management: Gain a psychological perspective on time management for a more effective Receptionist role. Productivity Techniques And Tools: Learn various productivity techniques and tools to elevate your performance as a Receptionist.

Date: Thursday 25th May Time: 4pm Location: Studio A - Landor Road Event Details: Matt Jones is a British producer and screenwriter who has worked on several television networks across the UK. Beginning his career writing for Doctor Who Magazine in 1995, he got his big break when he became a screen writer for the Channel 4 series Queer as Folk. Matt will share his experience as a television screenwriter and producer, covering: Writing for Television What producers look for How to write a pitch How to pitch in a room Some of the projects Matt has worked on: Skins - producer Shameless - producer Doctor Who - writer The Split - writer This is a free event that all students are welcome to attend (but tickets are limited so be quick!)

This course will explore ways to support and enhance the quality of care provided to the individual approaching end of life, their families and their carers.

Elevate your understanding of the animal kingdom with our comprehensive Animal Science course. Covering genetics, health, breeding, production, and technological advancements in meat and dairy, this course offers a holistic view of modern animal science. Don’t miss the chance to gain valuable insights into animal husbandry, veterinary care, and innovative production systems.

Investigate and recognise the role of project sponsor and the importance of the relationship between sponsor and project manager and how this can be improved. Course overview Duration: 1 day (6.5 hours) This workshop is designed to investigate, understand and develop the role of the project sponsor. By taking elements of effective governance from the guidance published by the APM (Association for Project Management) and Axelos Managing Successful Programmes, an improved project sponsor capability can be developed. The workshop will also explore the importance of the relationship between sponsor and project manager and how this can be improved. Whilst predominately designed for the project sponsor role, there is provision for a discussion with project manager representatives to agree an action plan to improve the delivery of projects within an organisation. Objectives  By the end of the course you will be able to: Describe and commit to the role of the Project Sponsor Identify the key principles of governance that can contribute to success Describe the environment in which the projects are delivered Explain the financial and resource constraints within the project environment Define the criteria used for project selection Identify the expectations of key stakeholders and develop a clear communication plan to engage with them Identify and resolve areas of conflict Describe the relationship with the Project Manager Create an effective environment and relationship for project success Content Introduction The Project Environment The Principles of Governance The background to the training Roles The Project Sponsor The Project Manager The Project Board Sponsor responsibilities Defining Project Selection Criteria and Prioritisation Business Case and Justification Finance and Funding Resourcing the projects Stakeholder Engagement Project Governance Resolving conflict between stakeholders Benefits Realisation Capitalising the lessons learned during project reviews Delivering success The relationship with the Project Manager and team Action Plan for the future The workshop will use case studies drawn from previous client projects, both successful and less successful.

This course is an introduction to Chatta for early years teachers and practitioners. It’s a practical course which includes activities you will teach with your class, full access to Chatta’s award winning software, full support every step of the way and a huge bank of template resources to use straight away. Chatta can become a central, high-impact, simple and transformative aspect of your teaching. This course is designed to make your next steps as a teacher the most empowering, accessible and lasting new direction you’ve known as a teacher/early years practitioner.

Duration 1 Days 6 CPD hours This course is intended for This class is designed for administrators preparing to take the Salesforce Marketing Cloud Administrator exam who are able to configure Marketing Cloud products using industry and product best practices. You should be generally familiar with data structure in subscriber data management. You should also be able to thoroughly navigate Setup, troubleshoot account configuration, and manage user requests. Overview When you complete this course, you will be able to: Recall exam objectives. Discuss product features and functionality covered on the exam. Assess your exam readiness by answering practice questions. Familiarize yourself with additional resources necessary to prepare for the exam. Take the next step in your career and become a Salesforce Certified Marketing Cloud Administrator. In this 1-day, expert-led certification prep class, boost your exam readiness with a detailed exam overview, exam resources, and practice exam questions to test your knowledge. This course includes a voucher to sit for the Salesforce Marketing Cloud Administrator exam. Course Outline Exam Overview Digital Marketing Proficiency Review Governance and Compliance in Relation to Digital Marketing Review Security Best Practices for Date, Permissions, and PII Review Marketing Cloud Product Inventory and Offerings Subscriber Data Management Review the Contact Model Review Data Quality Evaluation Review Preference and Profile Center Setup Review Business Units, Users, and Security Configuration Review Integrations Configuration Review Features in Setup Home Review Marketing Cloud Extension Products Channel Management Review Mobile Studio Configuration Review Email Studio Configuration Review Social Studio and Advertising Configuration Review Journey Builder Concepts and Use Cases Maintenance Review Data Extraction and Report Generation Solutions Review Monitoring and System Availability Review Additional Marketing Cloud Product Benefits Practice Exam and Wrap-up Complete a Practice Exam Review Next Steps

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm