5809 Computing courses in Salford delivered Online

Duration 1 Days 6 CPD hours This course is intended for Learners taking this course are interested in employee experiences or Microsoft Viva and want to learn how to assess, plan, strategize, design, and manage digital employee experiences that use Microsoft Viva, Microsoft Teams, SharePoint, and Power Platform. A learner in this role will collaborate with multiple teams to scope, design, and implement new digital employee experiences, such as onboarding, career and skill development, rewards and recognition, employee wellbeing, and employee retention. Learners should have a foundational understanding of Microsoft technologies, including Microsoft 365, Teams, SharePoint, and a deep understanding of Microsoft Viva features and capabilities. They may have experience in one or more of the following disciplines: human resources, people development, change management, information technology, or culture development. Overview By the end of this module, you'll be able to: Evaluate existing systems and identify requirements Identify stakeholders and users Recommend employee experience solutions and strategies Describe the four experience areas of Connection, Growth, Purpose, and Insights supported by Viva. Explain what Microsoft Viva apps are. Identify resources needed to set up each Viva app. Create an adoption plan to use Viva to solve business scenarios for the four employee experience areas of Connection, Insight, Purpose, and Growth. Describe the main features of Viva Connections List technical requirements/prerequisites for Viva Connections implementation Explain the differences between desktop and mobile experiences Identify 2-3 business use cases for Viva Connections Identify key stakeholders for the deployment of Viva Connections Align and prioritize scenarios for Viva Connections Plan and design for the Dashboard, the Feed, and Resources by scenarios and audiences Consider how your organization will scale adoption Assess your organization's existing learning experiences. Plan and strategize for Viva Learning. Coordinate the implementation of Viva Learning. Recommend an adoption strategy for Viva Learning. In this course, you'll learn how to bring people together to create an optimal employee experience that enables your organization to improve productivity, develop empathetic leadership, and transform how employees feel about their work. In your organization today, are people being treated well, or are their needs neglected? Are your teams aligned on goals with a sense of purpose? Are you driving the business outcomes that you need? The Microsoft Viva employee experience platform provides the infrastructure to create the culture of trust, collaboration, well-being, and active listening that you envision. This training course will provide Microsoft Employee Experience Platform Specialists with a comprehensive overview of Microsoft Viva, as well as Microsoft 365, Teams, and SharePoint. It will cover how to identify requirements for designing experiences for employee onboarding, career and skill development, rewards and recognition, compensation and benefits, employee wellbeing, and employee retention. It will also cover how to design solutions to meet these requirements, and how to collaborate with senior executive leadership, human resources, IT, adoption and change management, and learning and organizational development departments. Finally, it will cover how to continuously improve employee experiences based on data-driven insights and feedback. Design digital employee experiences Introduction Case study - Tailwind Traders Evaluate current employee experiences Consider employee privacy and data requirements Assemble business stakeholders and define goals Explore Viva experience areas Understand Viva licensing Knowledge check Summary and resources Introduction to the Microsoft Viva suite Introduction to Microsoft Viva Understand Viva apps Get started with Microsoft Viva Use Viva to keep everyone informed, included, and inspired Use Viva to get actionable insights to foster well-being and productivity Use Viva to align people's work to team and organization goals Use Viva to help employees learn, grow, and succeed Knowledge check Summary Introduction to Viva Connections Introduction What do users experience? When to use Viva Connections? What technical requirements must be met to deploy Viva Connections? Knowledge check Summary Plan for Viva Connections Introduction Build your team and meet requirements Analyze tasks and scenarios for Viva Connections Plan for Viva Connections Dashboard, Feed and Resources Plan to announce, launch, and scale adoption Knowledge check Summary Design skilling and growth experiences with Viva Learning Introduction Case study - Tailwind Traders Plan for Viva Learning Assemble Viva Learning admins and stakeholders Understand content sources with Viva Learning Coordinate setup and configuration of Viva Learning Develop adoption strategies for Viva Learning Develop an org-wide learning culture Knowledge check Summary and resources Additional course details: Nexus Humans MS-080T00: Employee Experience Platform Specialist 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 MS-080T00: Employee Experience Platform Specialist 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 3 Days 18 CPD hours This course is intended for Java Developers with a minimum of 2 years of experience and individuals who want to become application security engineers/analysts/testers Individuals involved in the role of developing, testing, managing, or protecting wide area of applications. Overview In-depth understanding of secure SDLC and secure SDLC models Knowledge of OWASP Top 10, threat modelling, SAST and DAST Capturing security requirements of an application in development Defining, maintaining, and enforcing application security best practices The Certified Application Security Engineer (CASE) training and certification program provides a comprehensive application security approach which encompasses security activities involved in all the phases of Software Development Lifecycle (SDLC). Understanding Application Security, Threats, and AttacksSecurity Requirements GatheringSecure Application Design and ArchitectureSecure Coding Practices for Input ValidationSecure Coding Practices for Authentication and AuthorizationSecure Coding Practices for CryptographySecure Coding Practices for Session ManagementSecure Coding Practices for Error HandlingStatic and Dynamic Application Security Testing (SAST & DAST)Secure Deployment and Maintenance

Duration 2 Days 12 CPD hours This course is intended for System Engineers/Administrators; Backup/Virtualization Administrators; Solution Architects/Consultants Overview By the end of the course, students should be able to:Maximize your expertise on consulting/professional services for the Veeam Availability Suite solutionAim for the VMCA title and comply with some of the certifications requirements for Platinum ProPartners and Veeam Accredited Service Partners (VASPs)Gain professional advantage with the highest level of Veeam technical certification This course covers Veeam Availability Suite? design and optimization and is based on best practices from Veeam solutions architects. IntroductionDesign & Sizing DNS and name resolution Veeam backup server Backup and replication database Proxy server Transport modes Repository server WAN accelerator Interaction with hypervisors Infrastructure Stages of Proof of Concept Assessment using Veeam ONE? Important data to collect (Veeam ONE + infrastructure accounts) Security Permissions Design Scenario: Part 1 Discovery Create a design based on the customer environment Optimizations Backup and replication database Proxy server Repository server WAN accelerator Tape Veeam Backup Enterprise Manager Indexing Antivirus on Veeam servers and guest VM (if VSS is used) Protecting Veeam Backup & Replication? configuration Design Scenario: Part 2 Create a design based on the customer?s evolving environment Automation Veeam backup server VMware vSphere tags Audit & Compliance Auditing Compliance SureBackup© and SureReplica Troubleshooting Deep dive into reading log files Common issues Troubleshooting mode (SureBackup/SureReplica)

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 2 Days 12 CPD hours This course is intended for This basic course is for persons needing an introductory knowledge of DB2, and persons preparing for advanced and specialized DB2 education. Overview List and describe the major components of IBM's relational database, DB2 Explain the characteristics of a DB2 table Relate the basic concepts of data modeling Comprehend the processing instructions given to DB2 via simple SQL statements List and describe several ways to build (write) and execute SQL statements List and describe steps needed to imbed SQL statements in an application program Explain some of the functions performed by, and the responsibilities of, database and system administrators Establish a base for more specialized DB2 education This course provides information about the functions of IBM's DB2, a relational database manager which may be installed under a variety of operating systems on many hardware platforms (e.g., z/OS, VM, Linux, UNIX, Windows, etc.) Understanding a Table Identify the advantages of a relational database Define a relation Name the language used to talk to a relational database manager (RDBM) List three characteristics assigned to each column Define the tasks performed by DB2 when running an application Defi Data Modeling and Database Design State the purpose of a business model Identify an Entity-Relational Diagram (ERD) model List several DB2 column data types Identify non-standard column and table names Identify the characteristics of a primary key and a foreign key State the purpose of re How does a User use DB2? List several ways to talk to DB2 List multiple ways to generate an SQL statement List several ways to ADD, REMOVE, or CHANGE table rows List several ways to READ data and produce reports How does a Programmer use DB2? List the steps needed to create a test environment List the necessary steps to coding SQL in a program Describe the purpose of SQL delimiters Describe the purpose of an SQLCA List the steps involved in preparing a program for execution State the differenc What does an Administrator do in DB2? List some of the tasks performed by a DB2 System Administrator: Identifying the DB2 product, Installing DB2, Creating subsystems/instances, databases and table spaces, Authorizing, and Monitoring List some of the tasks performed by a DB2 Database Administ Information Management with DB2 List several planning considerations for distributing data List some of the skills required to successfully distribute data Differentiate between remote unit of work, distributed unit of work, and distributed request List some of the security concerns whe

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Artificial Intelligence (AI) is the most disruptive technology since the internet came onto the scene. AI is transforming every aspect of how we manage projects from developing a business case, to planning the work, managing risk, and tracking performance. Because the technology and market are moving so fast, it can be difficult to know how to start using AI on projects. Generative AI for Project Management will engage you with diverse Generative AI tools to start, plan, and manage either your own project or a generic case study. We will embrace a tool agnostic approach to adopting, integrating, and scaling Generative AI without compromising data or trust. You will have hands-on practice utilizing AI tools to optimize your time and your outcomes. You will be accessing a variety of AI tools requiring you to register for a free account. A computer is required for all traditional classroom deliveries. None At the end of this program, you will be able to: Define essential terms and concepts related to artificial intelligence (AI) Illustrate how prompts facilitate interaction with Generative AI Recognize the capabilities of Large Language Models Craft prompts to develop project origination documents Create prompts to assist in planning a project Develop user stories with Generative AI Analyze project performance using Generative AI Identify the limitations of Generative AI Identify the risks associated with using Generative AI Articulate the need for governance and ethics when establishing an AI program in an organization Course Overview Getting Started Foundation Concepts Understanding essential terms and concepts related to AI Exploring various Generative AI Models Understanding Prompts Creating Prompts for Project Startup Prompts for starting a project Prompts for planning a project Best Practices for prompt engineering Creating Prompts for Managing Projects Creating agile user stories Measuring project performance Analyzing a schedule Using Generative AI Responsibly Limitations of AI Models Establishing an AI governance framework Future trends and next steps Summary and Next Steps

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