1405 Software courses in Nottingham delivered Live Online

Duration 2 Days 12 CPD hours Overview - You will learn advanced Adobe Captivate concepts. - You will learn to create highly interactive software simulation and to control the text that appears in the recording?s text captions by editing Captivates text capture templates. - You will create responsive lessons (using Fluid Boxes and Breakpoints) that automatically reflow to fit just about any kind of display including desktops, laptops, tablets, and smart phones. - Learn new features that Captivate now supports; such as, Virtual Reality with 360-degree images and videos along with interactive videos. - Fine-tune your Captivate production skills by leveraging object styles, master slides, themes, and advanced actions. - Engage your learners by adding variables, widgets, and learner interactions (including drag and drop) to your eLearning. - Learn to create object styles, apply them globally, and import and export them. Knock large projects down to size by learning to create branch groups. - Create branching scenarios that allow learners to plot their own path through your course. - You will also learn to create templates. - Ensure your eLearning can be used by people with disabilities by adding such 508-compliant features as accessibility text, keyboard shortcuts, and closed captions. - Enable Captivates reporting features and, along the way, learn about Learning Management Systems, SCORM, SCOs, Manifests, and content packages. A course that teaches the higher-end, more advanced functionality of Adobe Captivate 2019. 1 - INTERACTIVE SOFTWARE SIMULATIONS AND CAPTION PRE-EDITING Rehearse a Script Set Recording Preferences Record a Simulation Edit a Text Capture Template 2 - OBJECT STYLES, PROJECT SHARING, AND BRANCHING Create a New Style Apply an Object Style Globally Export and Import an Object Style Name a Slide Copy/Paste Project Assets Use Buttons to Create a Branch Explore the Branching View Create a Branch Group 3 - VARIABLES AND WIDGETS Add Project Information Insert a System Variable Edit a System Variable Create a User Variable Use a Variable to Gather Learner Data Insert and Format a Widget 4 - INTERACTIVE VIDEOS AND VIRTUAL REALITY Insert an Interactive Video Add Bookmarks Add Slide Overlays Create a Virtual Reality Project Add a Text Hotspot Add an Audio Hotspot Add a Quiz to a Virtual Reality Project 5 - INTERACTIONS Insert a Process Circle Create a Basic Drag and Drop Interaction Manage Drag and Drop Buttons and Write Captions Create a ?Trick? Retry Slide Explore an Advanced Drag and Drop Project Create an Advanced Drag and Drop Interaction Change the States of a Smart Shape Use States to Swap Images 6 - ACCESSIBLE ELEARNING Set Document Information Enable Accessibility Add Accessibility Text to Slides Import Slide Audio Add Shortcut Keys Add Closed Captions Set a Tab Order 7 - ADVANCED ACTIONS Use a Completed Action Name Objects Create a Mask Control Object Visibility Create a Standard Advanced Action, Attach an Action to a Button Group Timeline Objects Create a Variable Create a Conditional Action Create Decision Blocks 8 - PROJECT TEMPLATES AND MASTER SLIDES Work with the Main Master Slide Work with Content Masters Apply a Master to Filmstrip Slides Edit a Master Apply a Theme Create a Custom Theme Review a Template Create a Project Based on a Template Create a Project Template 9 - RESPONSIVE PROJECTS Customize Breakpoints Save a Standard Project As Responsive Insert and Name Fluid Boxes Resize Fluid Boxes Add Content to Fluid Boxes Switch Modes Use the Position Inspector Modify a Single Breakpoint Exclude from View Add a New Breakpoint Position and Link Objects Edit Breakpoint Object Styles 10 - REPORTING RESULTS Set Quiz Reporting Options Create a Manifest File Report a Button Interaction Adjust Slide Object Interaction Preview in SCORM Cloud Publish a Content Package Create an Inquisiq LMS Account Create an LMS Course Attach a Lesson to a Course Test an eLearning Course Additional course details: Nexus Humans Adobe Captivate 2019 - Beyond The Essentials 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 Adobe Captivate 2019 - Beyond The Essentials 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 data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. Introduction to end-to-end analytics using Microsoft Fabric Explore end-to-end analytics with Microsoft Fabric Data teams and Microsoft Fabric Enable and use Microsoft Fabric Knowledge Check Get started with lakehouses in Microsoft Fabric Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Exercise - Create and ingest data with a Microsoft Fabric Lakehouse Use Apache Spark in Microsoft Fabric Prepare to use Apache Spark Run Spark code Work with data in a Spark dataframe Work with data using Spark SQL Visualize data in a Spark notebook Exercise - Analyze data with Apache Spark Work with Delta Lake Tables in Microsoft Fabric Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise - Use delta tables in Apache Spark Ingest Data with DataFlows Gen2 in Microsoft Fabric Understand Dataflows (Gen2) in Microsoft Fabric Explore Dataflows (Gen2) in Microsoft Fabric Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - Explore core data concepts Identify data formats Explore file storage Explore databases Explore transactional data processing Explore analytical data processing 2 - Explore data roles and services Explore job roles in the world of data Identify data services 3 - Explore fundamental relational data concepts Understand relational data Understand normalization Explore SQL Describe database objects 4 - Explore relational database services in Azure Describe Azure SQL services and capabilities Describe Azure services for open-source databases 5 - Explore Azure Storage for non-relational data Explore Azure blob storage Explore Azure DataLake Storage Gen2 Explore Azure Files Explore Azure Tables 6 - Explore fundamentals of Azure Cosmos DB Describe Azure Cosmos DB Identify Azure Cosmos DB APIs 7 - Explore fundamentals of large-scale data warehousing Describe data warehousing architecture Explore data ingestion pipelines Explore analytical data stores 8 - Explore fundamentals of real-time analytics Understand batch and stream processing Explore common elements of stream processing architecture Explore Azure Stream Analytics Explore Apache Spark on Microsoft Azure 9 - Explore fundamentals of data visualization Describe Power BI tools and workflow Describe core concepts of data modeling Describe considerations for data visualization

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is looking to familiarize themselves with the fundamentals of security, compliance, and identity (SCI) across cloud-based and related Microsoft services. The content for this course aligns to the SC-900 exam objective domain. Candidates should be familiar with Microsoft Azure and Microsoft 365 and understand how Microsoft security, compliance, and identity solutions can span across these solution areas to provide a holistic and end-to-end solution. Before attending this course, students must have: General understanding of networking and cloud computing concepts. General IT knowledge or any general experience working in an IT environment. General understanding of Microsoft Azure and Microsoft 365. This course provides foundational level knowledge on security, compliance, and identity concepts and related cloud-based Microsoft solutions. Prerequisites General understanding of networking and cloud computing concepts. General IT knowledge or any general experience working in an IT environment. General understanding of Microsoft Azure and Microsoft 365. 1 - Describe security and compliance concepts Describe the shared responsibility model Describe defense in depth Describe the Zero Trust model Describe governance, risk, and compliance (GRC) concepts 2 - Describe identity concepts Define authentication and authorization Define identity as the primary security perimeter Describe the role of the identity provider Describe the concept of directory services and Active Directory Describe the concept of federation 3 - Describe the function and identity types of Microsoft Entra ID Describe Microsoft Entra ID Describe types of identities Describe hybrid identity Describe external identities 4 - Describe the authentication capabilities of Microsoft Entra ID Describe authentication methods Describe multifactor authentication Describe self-service password reset Describe password protection and management capabilities 5 - Describe access management capabilities of Microsoft Entra ID Describe Conditional Access Describe Microsoft Entra roles and role-based access control (RBAC) 6 - Describe the identity protection and governance capabilities of Azure AD Describe Microsoft Entra ID Governance Describe access reviews Describe entitlement management Describe the capabilities of Privileged identity Management Describe Microsoft Entra ID Protection Describe Microsoft Entra Permissions Management Describe Microsoft Entra Verified ID 7 - Describe core infrastructure security services in Azure Describe Azure DDoS protection Describe Azure Firewall Describe Web Application Firewall Describe network segmentation in Azure Describe Azure Network Security Groups Describe Azure Bastion Describe Azure Key Vault 8 - Describe the security management capabilities in Azure Describe Microsoft Defender for Cloud Describe how security policies and initiatives improve cloud security posture Describe Cloud security posture management Describe the enhanced security of Microsoft Defender for Cloud Describe DevOps security management 9 - Describe security capabilities of Microsoft Sentinel Describe threat detection and mitigation capabilities in Microsoft Sentinel Describe Microsoft Security Copilot 10 - Describe threat protection with Microsoft Defender XDR Describe Microsoft Defender XDR services Describe Microsoft Defender for Office 365 Describe Microsoft Defender for Endpoint Describe Microsoft Defender for Cloud Apps Describe Microsoft Defender for Identity Describe Microsoft Defender Vulnerability Management Describe Microsoft Defender Threat Intelligence Describe the Microsoft Defender portal 11 - Describe Microsoft?s Service Trust portal and privacy capabilities Describe the offerings of the Service Trust portal Describe Microsoft's privacy principles Describe Microsoft Priva 12 - Describe the compliance management capabilities in Microsoft Purview Describe the Microsoft Purview compliance portal Describe Compliance Manager Describe use and benefits of compliance score 13 - Describe information protection, data lifecycle management, and data governance capabilities in Microsoft Purview Know your data, protect your data, and govern your data Describe the data classification capabilities of the compliance portal Describe sensitivity labels and policies Describe data loss prevention Describe retention policies and retention labels Describe records management Describe the Microsoft Purview unified data governance solution 14 - Describe the insider risk capabilities in Microsoft Purview Describe insider risk management Describe communication compliance 15 - Describe the eDiscovery and Audit capabilities in Microsoft Purview Describe the eDiscovery solutions in Microsoft Purview Describe the audit solutions in Microsoft Purview

Duration 1 Days 6 CPD hours This course is intended for This course is intended for those persons who will implement, manage and direct mobile asset Initiatives for their organizations. Overview The CMAM course prepares students to implement a foundation of best practice policies and processes whereby mobile assets are controlled. This should lead to savings opportunities, risk mitigation surrounding BYOD and financial responsibility. Students will be able to incorporate mobile asset management and BYOD into their environment, policies and procedures to mitigate risk, increase productivity of employees, and bring value from the mobile asset management program. The IAITAM Certified Mobile Asset Manager (CMAM) course prepares individuals and organizations responsible for the management of mobile devices. Proliferation of mobile devices within the enterprise, whether corporate-owned or BYOD-based, has brought a complexity to ITAM never before seen in IT environments. The course will prepare individuals with the knowledge to manage personnel, policies and processes, the key elements in organizational IT management. This course encompasses both organizational owned assets as well as BYOD (employee-owned). The CMAM course has the IAITAM Best Practice Library as its foundation and encompasses financial viability, risk mitigation, policy enforcement and lifecycle management of mobile assets. Course Outline Mobile Asset Management and ITAM People & Mobile Assets Bring Your Own Device (BYOD) Tools Repository Management Assessment The 12 KPAs and Mobile Asset Management Program Management & Mobility Policy Management & Mobility Communication & Education Management & Mobility Education & Mobility Acquisition Management & Mobility Asset Identification Management & Mobility Legislation & Compliance Management & Mobility Software & Application Licensing Disposal Management & Mobility Documentation Management & Mobility Financial Management & Mobility Vendor Management & Mobility Data Protection

Lean Six Sigma Yellow Belt Certification Program: In-House Training This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. Participants will learn basic tools and techniques of Lean Six Sigma and those who pass a thirty-question exam (70% or above) will become a Certified Lean Six Sigma Yellow Belt. This course is delivered through four 3-hour online sessions. What you Will Learn You'll learn how to: Establish the structure that supports and sustains Lean Six Sigma Quality Identify and calculate key Lean Six Sigma Measurements (Sigma, DPMO, and Yield) Select successful, high-impact projects that match strategic objectives Document, measure, and improve key processes using the DMAIC (Define, Measure, Analyze, Improve, and Control) Methodology Utilize data-based thinking to make key business decisions Introduction to the Fundamentals and Vision of Lean Six Sigma Lean Six Sigma's focus on the customer, on quality, and on results The costs of poor quality Critical factors to consider when deploying Lean Six Sigma Lean Six Sigma as a process improvement methodology Lean Six Sigma metrics Why do it - ROI and payback for Lean Six Sigma Business Process Management Critical Lean Six Sigma roles and responsibilities Main aspects of managing the organizational change Project selection Metrics of Lean Six Sigma and the DMAIC Model How to strategically align business metrics and projects within an organization How to identify and measure quality characteristics which are critical to customers What does the customer (internal or external) really want from our products and services? Establishing appropriate teams and setting those teams up to be successful What defines a good measurement system? How are we doing (learning the secret to measuring the right things, right)? How to improve output measures by understanding and measuring the process Where are there defects (how to properly select and scope high-impact projects)? Where is the process broken (the Lean Six Sigma version of root cause analysis)? How to determine the process efficiency, or value add, of a process The appropriate use of quality tools Understanding the concept of variation and how to reduce knee-jerk reactions How to achieve breakthrough results for any key measure How can we ensure the identified improvements will be sustainable (the basics of process control)?

Duration 1 Days 6 CPD hours This course is intended for Individuals responsible for articulating the technical benefits of AWS services Individuals interested in learning how to get started with using AWS SysOps Administrators, Solution Architects and Developers interested in using AWS services Overview Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console. Understand the foundational services, including Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS). Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM). Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS). Understand AWS management tools, including Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor. AWS Technical Essentials introduces you to AWS services, and common solutions. It provides you with fundamental knowledge to become more proficient in identifying AWS services. It helps you make informed decisions about IT solutions based on your business requirements and get started working on AWS. Prerequisites Working knowledge of distributed systems Familiarity with general networking concepts Working knowledge of multi-tier architectures Familiarity with cloud computing concepts 1 - AWS introduction and history AWS Global Infrastructure Demonstration: AWS Management Console 2 - AWS Storage Identify key AWS storage options Describe Amazon EBS Create an Amazon S3 bucket and manage associated objects 3 - Compute, network and storage services Amazon Elastic Compute Cloud (EC2) Amazon Virtual Private Cloud (VPC) Amazon Simple Storage Service (S3) Amazon Elastic Block Store (EBS) Demonstration: Amazon Simple Storage Service (S3) Hands-on lab: Build your VPC and launch a web server 4 - AWS Security, AWS Identity and Access Management (IAM) AWS Identity and Access Management (IAM) Demonstration: AWS Identity and Access Management (IAM) 5 - Compute Services & Networking Identify the different AWS compute and networking options Describe an Amazon Virtual Private Cloud (VPC) Create an Amazon EC2 instance Use Amazon EBS with Amazon EC2 6 - Managed Services & Database Describe Amazon DynamoDB Understand key aspects of Amazon RDS Launch an Amazon RDS instance 7 - Databases (RDS, DynamoDB) SQL and NoSQL databases Data storage considerations Hands-on lab: Build your database server and connect to it 8 - AWS elasticity and management tools Auto scaling Load balancing Cloud Watch Trusted Advisor Hands-on lab: Scale and load balance your architecture 9 - Deployment and Management Identify what is CloudFormation Describe Amazon CloudWatch metrics and alarms Describe Amazon Identity and Access Management (IAM)

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: System Engineers Network Engineers Technical Architects Technical Support Personnel Channel Partners Resellers Overview Upon completing the course, the learner will be able to meet these overall objectives: Describe Cisco SD-Access and how it relates to Cisco DNA Orchestrate a Cisco SD-Access solution using the Cisco DNA Center™ orchestration platform Use the Network Data Platform to demonstrate the assurance and analytics capabilities of SD-Access The Deploying Cisco SD-Access (ENSDA) v1.0 course is an instructor-led, lab based, hands-on course that teaches students how to successfully deploy the Cisco© Software-Defined Access (SD-Access) solution within their enterprise networks. The course discusses how Cisco SD-Access fits into the Cisco Digital Network Architecture (Cisco DNA?). It covers SD-Access fundamentals, provisioning, policies, wireless integration, border operations, and migration strategies. Module 1: Cisco SD-Access Overview Lesson 1: Exploring Cisco SD-Access Lesson 2: Describing the Cisco SD-Access Architecture Lesson 3: Exploring Cisco DNA Center Lesson 4: Configuring Underlay Automation Module 2: Cisco SD-Access Implementation Lesson 1: ISE Integration in DNA Center Lesson 2: Policy Provisioning Basics Lesson 3: Navigating and Managing the Policy Application Workflows Module 3: Cisco SD-Access Border Operations Lesson 1: Cisco SD-Access Deployment Models Lesson 2: Connecting the Fabric to External Domains Module 4: Wireless Integration Orchestration Lesson 1: Integrating Wireless with the Cisco SD-Access Solution Lesson 2: Workflow of Cisco SD-Access Wireless Lesson 3: Cisco SD-Access Wireless Network Design Lesson 4: Cisco SD-Access Wireless Basic Operation Module 5: Cisco SD-Access Assurance and Migration Lesson 1: Cisco Network Data Platform Lesson 2: Cisco SD-Access Migration Strategies

Duration 2 Days 12 CPD hours This course is intended for Administrators Overview Please refer to course overview This offering covers the fundamental concepts of installing and configuring IBM Cognos Analytics, and administering servers and content, in a distributed environment. In the course, participants will identify requirements for the installation and configuration of a distributed IBM Cognos Analytics software environment, implement security in the environment, and manage the server components. Students will also monitor and schedule tasks, create data sources, and manage and deploy content in the portal and IBM Cognos Administration. Introduction to IBM Cognos Analytics administration IBM Cognos Analytics components Administration workflow IBM Cognos Administration IBM Cognos Configuration Identify IBM Cognos Analytics architecture Features of the IBM Cognos Analytics architecture Examine the multi-tiered architecture, and identify logging types and files Examine IBM Cognos Analytics servlets Performance and installation planning Balance the request load Configure IBM Cognos Analytics Secure the IBM Cognos Analytics environment Identify the IBM Cognos Analytics security model Define authentication in IBM Cognos Analytics Define authorization in IBM Cognos Analytics Identify security policies Secure the IBM Cognos Analytics environment Administer the IBM Cognos Analytics server environment Administer IBM Cognos Analytics servers Monitor system performance Manage dispatchers and services Tune system performance, and troubleshoot the server Audit logging Dynamic cube data source administration workflow Manage run activities View current, past, and upcoming activities Manage schedules Manage content in IBM Cognos Administration Data sources and packages Manage visualizations in the library Deployment Other content management tasks Examine departmental administration capabilities Create and manage team members Manage activities Create and manage content and data Manage system settings Manage Themes, Extensions, and Views Share services with multiple tenants

Duration 1 Days 6 CPD hours This course is intended for System administrators and security operations personnel, including analysts and managers Overview By the end of the course, you should be able to meet the following objectives: Describe the components and capabilities of the Carbon Black EDR server Identify the architecture and data flows for Carbon Black EDR communication Describe the Carbon Black EDR server installation process Manage and configure the Carbon Black EDR sever based on organizational requirements Perform searches across process and binary information Implement threat intelligence feeds and create watchlists for automated notifications Describe the different response capabilities available from the Carbon Black EDR server Use investigations to correlate data between multiple processes This course teaches you how to use the VMware Carbon Black© EDR? product and leverage the capabilities to configure and maintain the system according to your organization?s security posture and policies. This course provides an in-depth, technical understanding of the Carbon Black EDR product through comprehensive coursework and hands-on scenario-based labs. Course Introduction Introductions and course logistics Course objectives Planning and Installation Hardware and software requirements Architecture Data flows Server installation review Installing sensors Server Administration Configuration and settings Carbon Black EDR users and groups Process Search and Analysis Filtering options Creating searches Process analysis and events Binary Search and Banning Binaries Filtering options Creating searches Hash banning Search best practices Search operators Advanced queries Threat Intelligence Enabling alliance feeds Threat reports details Use and functionality Watchlists Creating watchlists Use and functionality Alerts / Investigations / Response Using the HUD Alerts workflow Using network isolation Using live response