5938 Computing & IT courses

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

Duration 1 Days 6 CPD hours This course is intended for This course is ideal for any administrator with an interest in furthering the development of their Salesforce CRM administration, Sales and Service Cloud management, and process automation skills, and who ultimately wants to succeed at the Salesforce Certified Advanced Administrator exam. Overview When you complete this course, you will be able to:Configure data and application security.Describe Sales Cloud and Service Cloud applications.Implement business logic and process automation.Build advanced reports and dashboards.Apply data management best practices. This course will help hone your knowledge of of next-level techniques to administer and manage Salesforce?s CRM capabilities through guided scenarios, lecture, and discussion. Salesforce Security and Custom Objects Restricting and extending object, record, and field access Determining appropriate sharing solutions Territory Management Data relationships Automation, Change Management, and Auditing Process automation tools and best practices Change management options Sandboxes Deployment tools Auditing and monitoring Analytics and Data Management Creating reports Report types Dashboards Data quality features and policies Sales, Service, and Content Applications Products, price books, schedules and quotes Forecasting Salesforce Knowledge Entitlements Service Cloud console toolkit Content management Wrapping Test preparation Practice exam Additional course details: Nexus Humans Salesforce Certification Preparation for Advanced Administrator (CRT211) 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 Salesforce Certification Preparation for Advanced Administrator (CRT211) 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 4 Days 24 CPD hours This course is intended for Architect Database Administrators Overview Configure and use Policy-Based Cluster Management in conjunction with Policy-Managed Database and Oracle Multitenant Architecture Migrate from a standard cluster to a Flex Cluster and configure highly available application resources on Flex Cluster Leaf Nodes Implement Oracle Database In-Memory on an existing Oracle RAC database Configure an Oracle RAC database to use Application Continuity Configure and use Global Data Services in conjunction with Oracle RAC and Data Guard Upgrade an existing database to use Oracle ASM Filter Driver Migrate from standard ASM to Flex ASM and examine the effect of using Flex ASM Perform a database rolling upgrade, from Oracle Database 11gR2 to Oracle Database 12c, using a transient logical standby database Practice configuring, administering and using noteworthy features associated with Oracle Database 12c RAC and Grid Infrastructure. Practice configuring, administering and using noteworthy features associated with Oracle Database 12c RAC and Grid Infrastructure. Additional course details: Nexus Humans Oracle Database 12c - RAC and Grid Infra Deployment Workshop 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 Oracle Database 12c - RAC and Grid Infra Deployment Workshop 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.

Reliability Centred Maintenance (RCM) is commonly used to help establish safe minimum levels of maintenance, determine changes to operating procedures and help establish maintenance regimes and plans. Successful implementation can result in cost savings, machine uptime and improved risk management. But the devil's in the detail - how can you achieve these benefits and successfully implement RCM in your organisation? This programme will help you do just that. Note: this is a purely indicative outline. The content, duration, objectives and material used can all be adapted to match your specific requirements. To provide a better understanding of RCM, particularly: What, why, how and who? Opportunities and benefits Risks Cost effectiveness Note: this is a purely indicative outline. The content, duration, objectives and material used can all be adapted to match your specific requirements. 1 What is maintenance? Why maintain? Traditional maintenance methods Common current practices and trends 2 What is Reliability Centred Maintenance? Its history Its development Current usage Where can it be cost-effective? 3 How does it work? Basic features Key criteria Maintenance options Key outcomes 4 Making the business case and preparing the strategy Identifying and quantifying current risks Identifying and quantifying current costs Motivating decision-makers Identifying and empowering those who have to deliver the results Educating / gaining buy-in from interested parties 5 Implementation Identify business functions Prioritise functions Verify correct usage Identify failure modes Identify the consequences of failure Understand the failure process Specify the appropriate maintenance action(s) 6 Ongoing requirements Monitoring Recording Analysis Continuous re-evaluation 7 Open discussion Sharing experience and addressing specific issues of interest to participants Course review Close

ITIL® 4 Specialist: Create, Deliver and Support: Virtual In-House Training The ITIL® 4 Specialist: Create, Deliver, and Support module is part of the Managing Professional stream for ITIL® 4. Candidates need to pass the related certification exam for working towards the Managing Professional (MP) designation. This course is based on the ITIL® 4 Specialist: Create, Deliver, and Support exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. What You Will Learn The learning objectives of the course are based on the following learning outcomes of the ITIL® 4 Specialist: Create, Deliver, and Support exam specification: Understand how to plan and build a service value stream to create, deliver, and support services Know how relevant ITIL® practices contribute to the creation, delivery, and support across the SVS and value streams Know how to create, deliver, and support services Organization and Culture Organizational Structures Team Culture Continuous Improvement Collaborative Culture Customer-Oriented Mindset Positive Communication Effective Teams Capabilities, Roles, and Competencies Workforce Planning Employee Satisfaction Management Results-Based Measuring and Reporting Information Technology to Create, Deliver, and Support Service Integration and Data Sharing Reporting and Advanced Analytics Collaboration and Workflow Robotic Process Automation Artificial Intelligence and Machine Learning CI / CD Information Model Value Stream Anatomy of a Value Stream Designing a Value Stream Value Stream Mapping Value Stream to Create, Deliver, and Support Services Value Stream for Creation of a New Service Value Stream for User Support Value Stream Model for Restoration of a Live Service Prioritize and Manage Work Managing Queues and Backlogs Shift-Left Approach Prioritizing Work Commercial and Sourcing Considerations Build or Buy Sourcing Models Service Integration and Management

Duration 2 Days 12 CPD hours This course is intended for This class is intended for network engineers and network admins that are either using Google Cloud Platform or are planning to do so. The class is also for individuals that want to be exposed to software-defined networking solutions in the cloud. Overview Configure Google VPC networks, subnets, and routers Control administrative access to VPC objects Control network access to endpoints in VPCsInterconnect networks among GCP projects Interconnect networks among GCP VPC networks and on-premises or other-cloud networks Choose among GCP load balancer and proxy options and configure them Use Cloud CDN to reduce latency and save money Optimize network spend using Network TiersConfigure Cloud NAT or Private Google Access to provide instances without public IP addresses access to other services Deploy networks declaratively using Cloud Deployment Manager or Terraform Design networks to meet common customer requirements Configure monitoring and logging to troubleshoot networks problems Learn about the broad variety of networking options on Google Cloud. This course uses lectures, demos, and hands-on labs to help you explore and deploy Google Cloud networking technologies, including Virtual Private Cloud (VPC) networks, subnets, and firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN; and Cloud NAT. You'll also learn about common network design patterns and automated deployment using Cloud Deployment Manager or Terraform. Google Cloud VPC Networking Fundamentals Recall that networks belong to projects. Explain the differences among default, auto, and custom networks. Create networks and subnets. Explain how IPv4 addresses are assigned to Compute Engine instances. Publish domain names using Google Cloud DNS. Create Compute Engine instances with IP aliases. Create Compute Engine instances with multiple virtual network. Controlling Access to VPC Networks Outline how IAM policies affect VPC networks. Control access to network resources using service accounts. Control access to Compute Engine instances with tag-based firewall rules. Sharing Networks across Projects Outline the overall workflow for configuring Shared VPC. Differentiate between the IAM roles that allow network resources to be managed. Configure peering between unrelated VPC Networks. Recall when to use Shared VPC and when to use VPC Network Peering. Load Balancing Recall the various load balancing services. Configure Layer 7 HTTP(S) load balancing. Whitelist and blacklist IP traffic with Cloud Armor. Cache content with Cloud CDN. Explain Layer 4 TCP or SSL proxy load balancing. Explain regional network load balancing. Configure internal load balancing. Recall the choices for enabling IPv6 Internet connectivity for Google Cloud load balancers. Determine which Google Cloud load balancer to use when. Hybrid Connectivity Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud. Explain Dedicated Interconnect and Partner Interconnect. Describe the workflow for configuring a Dedicated Interconnect. Build a connection over a VPN with Cloud Router. Determine which Google Cloud interconnect service to use when. Explain Direct Peering and Partner Peering. Determine which Google Cloud peering service to use when. Networking Pricing and Billing Recognize how networking features are charged for. Use Network Service Tiers to optimize spend. Determine which Network Service Tier to use when. Recall that labels can be used to understand networking spend. Network Design and Deployment Explain common network design patterns. Configure Private Google Access to allow access to certain Google Cloud services from VM instances with only internal IP addresses. Configure Cloud NAT to provide your instances without public IP addresses access to the internet. Automate the deployment of networks using Deployment Manager or Terraform. Launch networking solutions using Cloud Marketplace. Network Monitoring and Troubleshooting Configure uptime checks, alerting policies and charts for your network services. Use VPC Flow Logs to log and analyze network traffic behavior.

Duration 3 Days 18 CPD hours This course is intended for Cluster administrators (Junior systems administrators, junior cloud administrators) interested in deploying additional clusters to meet increasing demands from their organizations. Cluster engineers (Senior systems administrators, senior cloud administrators, cloud engineers) interested in the planning and design of OpenShift clusters to meet performance and reliability of different workloads and in creating work books for these installations. Site reliability engineers (SREs) interested in deploying test bed clusters to validate new settings, updates, customizations, operational procedures, and responses to incidents. Overview Validate infrastructure prerequisites for an OpenShift cluster. Run the OpenShift installer with custom settings. Describe and monitor each stage of the OpenShift installation process. Collect troubleshooting information during an ongoing installation, or after a failed installation. Complete the configuration of cluster services in a newly installed cluster. Installing OpenShift on a cloud, virtual, or physical infrastructure. Red Hat OpenShift Installation Lab (DO322) teaches essential skills for installing an OpenShift cluster in a range of environments, from proof of concept to production, and how to identify customizations that may be required because of the underlying cloud, virtual, or physical infrastructure. This course is based on Red Hat OpenShift Container Platform 4.6. 1 - Introduction to container technology Describe how software can run in containers orchestrated by Red Hat OpenShift Container Platform. 2 - Create containerized services Provision a server using container technology. 3 - Manage containers Manipulate prebuilt container images to create and manage containerized services. 4 - Manage container images Manage the life cycle of a container image from creation to deletion. 5 - Create custom container images Design and code a Dockerfile to build a custom container image. 6 - Deploy containerized applications on OpenShift Deploy single container applications on OpenShift Container Platform. 7 - Troubleshoot containerized applications Troubleshoot a containerized application deployed on OpenShift. 8 - Deploy and manage applications on an OpenShift cluster Use various application packaging methods to deploy applications to an OpenShift cluster, then manage their resources. 9 - Design containerized applications for OpenShift Select a containerization method for an application and create a container to run on an OpenShift cluster. 10 - Publish enterprise container images Create an enterprise registry and publish container images to it. 11 - Build applications Describe the OpenShift build process, then trigger and manage builds. 12 - Customize source-to-image (S2I) builds Customize an existing S2I base image and create a new one. 13 - Create applications from OpenShift templates Describe the elements of a template and create a multicontainer application template. 14 - Manage application deployments Monitor application health and implement various deployment methods for cloud-native applications. 15 - Perform comprehensive review Create and deploy cloudinative applications on OpenShift.

Duration 1.5 Days 9 CPD hours This course is intended for This course is designed for software developers or anyone interested in building Android applications. Overview Install Android Studio. Writing a Java Program. Run a Java Program. Write a Java Comment. Understand Java Variables and Their Data Types. Acquiring Good Knowledge of Java Control Flow Statements. Understanding The Java Methods and Arrays. Understanding the Object-Oriented Programming (OOP) Concepts and Java Class. Developing applications for Android? systems requires basic knowledge of Java programming language. Introductory course that focuses on the fundamentals of Java programming language, its framework, syntax, and paradigm. First Step in Java The History of Java How Java Programs work? Install Java JDK and JRE Why did Google choose Java over other programming languages? Android OS Structure Install Android Studio Create and Run Java Projects Creating an Android Project (Java Project) Using Android Studio Writing a Java Program Java Methods Running a Java Program Write a Comment Java Variables and Their Data Type Control Flow Statements Introduction IF ? Else Statement If?Else and Else?If... Statement If Else and Logical Operators Switch Statement While Loop Do-while Loop For Loop The Break Statement The Continue Statement Methods and Arrays Introduction Method Structure Call Method by Value Call Method by Reference Arrays Enter Data to Java Program Object-Oriented Programming (OOP) Concepts Java Class Additional course details: Nexus Humans Java Fundamentals for Android Development 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 Java Fundamentals for Android Development 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

Duration 1 Days 6 CPD hours This course is intended for This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services Overview At the end of this whiteboard design session, you will leave with the information needed to develop a solid migration plan to keep mission-critical apps and data protected as they are transitioned and modernized. Topics covered will include how to get an inventory of a 2008 server environment, how to categorize 2008 workloads and evaluate the best option for each category, migration and upgrade tools available, TCO analysis tools, offers available from Microsoft to leverage existing licenses and innovations of recent product updates, licensing and technologies. This course will look at the process of migrating workloads to Azure. You will leave with the information needed to develop a solid migration plan to keep mission-critical apps and data protected as your customers transition and modernize their application, data, and infrastructure environment. Whiteboard Design Session - Windows Server 2008 and SQL Server 2008 end of support planning Review the customer case study Design a proof of concept solution Present the solution