5923 Software courses

Overview This comprehensive course on Machine Learning for Predictive Maps in Python and Leaflet will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning for Predictive Maps in Python and Leaflet comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Machine Learning for Predictive Maps in Python and Leaflet. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning for Predictive Maps in Python and Leaflet is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 33 lectures • 05:59:00 total length •Introduction: 00:10:00 •Python Installation: 00:04:00 •Creating a Python Virtual Environment: 00:07:00 •Installing Django: 00:09:00 •Installing Visual Studio Code IDE: 00:06:00 •Installing PostgreSQL Database Server Part 1: 00:03:00 •Installing PostgreSQL Database Server Part 2: 00:09:00 •Adding the settings.py Code: 00:07:00 •Creating a Django Model: 00:10:00 •Adding the admin.py Code: 00:21:00 •Creating Template Files: 00:10:00 •Creating Django Views: 00:10:00 •Creating URL Patterns for the REST API: 00:09:00 •Adding the index.html code: 00:04:00 •Adding the layout.html code: 00:19:00 •Creating our First Map: 00:10:00 •Adding Markers: 00:16:00 •Installing Jupyter Notebook: 00:07:00 •Data Pre-processing: 00:31:00 •Model Selection: 00:20:00 •Model Evaluation and Building a Prediction Dataset: 00:11:00 •Creating a Django Model: 00:04:00 •Embedding the Machine Learning Pipeline in the Application: 00:42:00 •Creating a URL Endpoint for our Prediction Dataset: 00:06:00 •Creating Multiple Basemaps: 00:09:00 •Creating the Marker Layer Group: 00:10:00 •Creating the Point Layer Group: 00:12:00 •Creating the Predicted Point Layer Group: 00:07:00 •Creating the Predicted High Risk Point Layer Group: 00:12:00 •Creating the Legend: 00:09:00 •Creating the Prediction Score Legend: 00:15:00 •Resource: 00:00:00 •Assignment - Machine Learning for Predictive Maps in Python and Leaflet: 00:00:00

Duration 1 Days 6 CPD hours This course is intended for This course is designed for data scientists with experience of Python who need to learn how to apply their data science and machine learning skills on Azure Databricks. Overview After completing this course, you will be able to: Provision an Azure Databricks workspace and cluster Use Azure Databricks to train a machine learning model Use MLflow to track experiments and manage machine learning models Integrate Azure Databricks with Azure Machine Learning Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this course, students will learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. Introduction to Azure Databricks Getting Started with Azure Databricks Working with Data in Azure Databricks Training and Evaluating Machine Learning Models Preparing Data for Machine Learning Training a Machine Learning Model Managing Experiments and Models Using MLflow to Track Experiments Managing Models Managing Experiments and Models Using MLflow to Track Experiments Managing Models Integrating Azure Databricks and Azure Machine Learning Tracking Experiments with Azure Machine Learning Deploying Models

This course aims to increase and enhance delegates’ understanding of the various cyber threats which impact upon them and the organisations, sectors and regions in which they operate and provide them with the tools necessary to mitigate those threats at both a personal and organisational level. It assumes no prior knowledge of the subject but ensures through a high level of interactivity that delegates with any level of experience in the field will be able share and receive the collective knowledge of the group.

Duration 5 Days 30 CPD hours This course is intended for This is an intermediate course for system administrators, database administrators, and other technical individuals, who manage and implement DB2 10 for z/OS. Administrators of DB2 11 for z/OS can acquire a view of the architecture and fundamental processes required to manage a DB2 11 for z/OS subsystem. Course Outline Start and stop the DB2 subsystem Explain the allocation CLIST used at logon for DB2 data sets Use Set SYSPARM command Locate the Command recognition character for the DB2 subsystem Query the system log to gain knowledge about the IPL process and information in the system log when DB2 is initialized or stopped Explore DB2 Address Spaces information Select the DB2 functions that best satisfy your site requirements Explain the use of RACF for DB2 connection security Explain the use of Roles and Trusted Context Implement security procedures for a DB2 environment Describe the components and address space structure of a DB2 subsystem Explain DB2 Program Flow for all environments Invoke and use DB2 TSO Facilities Use the DB2 Catalog to monitor authorizations Increase the size of the Active Log data sets Explain DB2 Logging Use SET LOG SUSPEND and SET LOG RESUME Use DSNJU004 to Print Log Map Interpret the output of the Print Log Map Utility DSNJU004 Use DSNJU003 to rename DB2 data sets Plan for recovery of a BSDS failure Monitor and control DB2 Explain transaction flow in IMS and CICS Describe the CICS and DB2 environment Make use and implement the extended 10-byte RBA and LRSN

Gain essential bookkeeping skills with our Diploma in Bookkeeping. Master the fundamentals of financial recording, ledgers, and accounting software. Start your journey to becoming a proficient bookkeeper with our comprehensive program, designed for practical application and career success.

Master Bing AI from scratch! Dive into practical applications—analyze website links, plan vacations, write CVs, and more, with our beginner-friendly tutorial.

Are you looking for a way to create stunning diagrams, flowcharts, and visuals for your projects? Do you want to learn how to use Microsoft Visio, the industry-standard software for diagramming and vector graphics? If so, then this online course is for you! In this course, you will learn everything you need to know about Microsoft Visio, from the basics to the advanced features. You will learn how to create and edit different types of diagrams, such as business process models, organisational charts, network diagrams, floor plans, and more. You will also learn how to customize your diagrams with shapes, colours, themes, styles, and data. You will discover how to collaborate with others on your diagrams using co-authoring, commenting, and sharing features. And you will explore how to integrate your diagrams with other Microsoft Office applications, such as Word, Excel, PowerPoint, and Outlook. By the end of this course, you will be able to create professional-looking diagrams that communicate your ideas clearly and effectively. Whether you are a beginner or an expert, this course will help you master Microsoft Visio and take your diagramming skills to the next level.

Duration 2 Days 12 CPD hours This course is intended for Operators and application owners who are responsible for deploying and managing policies for multiple Kubernetes clusters across on-premises and public cloud environments. Overview By the end of the course, you should be able to meet the following objectives: Describe the VMware Tanzu Mission Control architecture Configure user and group access Create access, image registry, network, security, quota, and custom policies Connect your on-premises vSphere with Tanzu Supervisor cluster to VMware Tanzu Mission Control Create, manage, and backup Tanzu Kubernetes clusters Perform cluster inspections Monitor and secure Kubernetes environments During this two-day course, you focus on using VMware Tanzu© Mission Control? to provision and manage Kubernetes clusters. The course covers how to apply access, image registry, network, security, quota, and custom policies to Kubernetes environments. For cluster provisioning and management, the course focuses on deploying, upgrading, backing up and monitoring Kubernetes clusters on VMware vSphere© with Tanzu. Given the abstractions of VMware Tanzu Mission Control, the learnings should be transferrable to public cloud. Introducing VMware Tanzu Mission Control VMware Tanzu Mission Control Accessing VMware Tanzu Mission Control VMware Cloud? services access control VMware Tanzu Mission Control architecture Cluster Management Attached clusters Management clusters Provisioned clusters Cluster inspections Data protection VMware Tanzu© Observability? by Wavefront VMware Tanzu© Service Mesh? Policy Management Policy management Access policies Image registry policies Network policies Security policies Quota policies Custom policies Policy insights

Duration 3 Days 18 CPD hours This course is intended for Platform operators who are responsible for deploying and managing Tanzu Kubernetes clusters Overview By the end of the course, you should be able to meet the following objectives: Describe how Tanzu Kubernetes Grid fits in the VMware TanzuTM portfolio Describe the Tanzu Kubernetes Grid architecture Deploy and manage Tanzu Kubernetes Grid management clusters Deploy and manage Tanzu Kubernetes Grid workload clusters Deploy, configure, and manage Tanzu Kubernetes Grid packages Perform basic troubleshooting During this three-day course, you focus on installing VMware Tanzu© Kubernetes Grid? on a VMware vSphere© environment and then provisioning and managing Tanzu Kubernetes Grid clusters. The course covers how to install Tanzu Kubernetes Grid packages for image registry, authentication, logging, ingress, multi-pod network interfaces, service discovery, and monitoring. The concepts learned in this course are transferable for users who must install Tanzu Kubernetes Grid on other supported clouds. Course Introduction Introductions and course logistics Course objectives Introducing VMware Tanzu Kubernetes Grid Identify the VMware Tanzu products responsible for Kubernetes life cycle management and describe the main differences between them Explain the core concepts of Tanzu Kubernetes Grid, including bootstrap, Tanzu Kubernetes Grid management and workload clusters, and the role of Cluster API List the components of a Tanzu Kubernetes Grid instance Illustrate how to use the Tanzu CLI Identify the requirements for a bootstrap machine Define the Carvel Tool set Define Cluster API Identify the infrastructure providers List the Cluster API controllers Identify the Cluster API Custom Resource Definitions Management Clusters List the requirements for deploying a management cluster Differentiate between deploying on vSphere 6.7 Update 3 and vSphere 7 Describe the components of NSX Advanced Load Balancer Explain how Tanzu Kubernetes Grid integrates with NSX Advanced Load Balancer Explain how Kubernetes manages authentication Define Pinniped Define Dex Describe the Pinniped authentication workflow List the steps to install a Tanzu Kubernetes Grid management cluster Summarize the events of a management cluster creation Demonstrate how to use commands when working with management clusters Tanzu Kubernetes Clusters List the steps to build a custom image Describe the available customizations Identify the options for deploying Tanzu Kubernetes Grid clusters Explain how Tanzu Kubernetes Grid clusters are created Discuss which VMs make up a Tanzu Kubernetes Grid cluster List the pods that run on a Tanzu Kubernetes cluster Describe the Tanzu Kubernetes Grid core add-ons that are installed on a cluster Configuring and Managing Tanzu Kubernetes Grid Instances Define the Tanzu Kubernetes Grid packages Describe the Harbor Image Registry Define Fluent Bit Identify the logs that Fluent Bit collects Explain basic Fluent Bit configuration Describe the Contour ingress controller Demonstrate how to install Contour on a Tanzu Kubernetes Grid cluster Demonstrate how to install Service Discovery with ExternalDNS. Define Multus CNI Define Prometheus Define Grafana Troubleshooting Discuss the various Tanzu Kubernetes Grid logs Identify the location of Tanzu Kubernetes Grid logs Explain the purpose of crash diagnostics Demonstrate how to use SSH to connect to a Tanzu Kubernetes Grid VM Describe the steps for troubleshooting a failed cluster deployment Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Tanzu Kubernetes Grid: Install, Configure, Manage [V1.5] 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 Tanzu Kubernetes Grid: Install, Configure, Manage [V1.5] 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 1 Days 6 CPD hours This course is intended for The primary audience for this course is database developers who plan to migrate their MySQL or Postgres DB workloads to Azure SQL DB. The secondary audience for this course is MySQL/Postgres administrators to raise awareness of the features and benefits of Azure SQL DB. Overview At the end of this course, the students will have learned: Migrate on-premises MySQL to Azure SQL DB for MySQL Migrate on-premises PostgreSQL to Azure SQL DB for PostgreSQL This course will enable the students to understand Azure SQL Database, and educate the students on what is required to migrate MySQL and PostgreSQL workloads to Azure SQL Database. Migrate to Azure SQL DB for MySQL & PostgreSQL OSS databases overview Common OSS database workloads Customer challenges in migration Migrate on-premises MySQL to Azure SQL DB for MySQL Configure and Manage Azure SQL DB for MySQL Migrate on-premises MySQL to SQL DB for MySQL Application Migration Post-migration considerations Migrate on-premises PostgreSQL to Azure SQL DB for PostgreSQL Configure and Manage Azure SQL DB for PostgreSQL Migrate on-premises MySQL to SQL DB for PostgreSQL Application Migration Post-migration considerations