1425 Software courses in Sheffield delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for If you're a developer with a keen interest in providing automated solutions for your organization, this certification could be a great fit for you. You automate time-consuming and repetitive tasks by using Microsoft Power Automate. You review solution requirements, create process documentation, and design, develop, deploy, integrate, troubleshoot, and evaluate solutions. Working with business stakeholders, you help to improve and automate business workflows. Overview After completing this course, students will be able to: Design RPA solutions Develop RPA solutions Deploy and manage RPA solutions Candidates for this course automate time-consuming and repetitive tasks by using Microsoft Power Automate. They review solution requirements, create process documentation, and design, develop, troubleshoot, and evaluate solutions. Candidates work with business stakeholders to improve and automate business workflows. They collaborate with administrators to deploy solutions to production environments, and they support solutions. Module 1: Get started with Power Automate for desktop Get started with Power Automate for desktop by learning about flows, creating automated steps, and flow development essentials. Module 2: Automate processes with Robotic Process Automation and Power Automate for desktop Work with Power Automate for desktop to record Windows and Web applications, but also use out of box actions such as manipulating Excel documents as part of an end to end invoice processing solution. Module 3: Work with Power Automate for desktop Work with Power Automate for desktop options, flows, recording features, conditions, loops, variables, images, and error and exception handling. Module 4: Work with different technologies in Power Automate for desktop Learn how to automate email handling, Excel, user interface, and system services with Power Automate for desktop. Module 5: Implement advanced logic in Power Automate for desktop Learn how to work with system flows, control flows, mimic mouse actions, as well as operations used to manipulate text, date, and time in Power Automate for desktop. Module 6: Build expertise with Power Automate for desktop Learn how to use Power Automate for desktop to work with Power Automate, OCR technologies, and scripting. Module 7: Build custom connectors for Power Automate This Learning Path explores custom connectors and explains how to configure them and use them with Microsoft Power Automate Module 8: Use best practices to secure and govern Microsoft Power Platform environments This module focuses on introducing Microsoft Power Platform environments and their role in creating Data Loss Prevention (DLP) policies by using examples and use cases. A brief introduction and overview of tools will also be discussed, including Microsoft Power Platform and Power Automate Admin experiences and Microsoft Power Platform Center of Excellence (COE) toolkit. Additional course details: Nexus Humans PL-500T00 Microsoft Power Automate RPA Developer 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 PL-500T00 Microsoft Power Automate RPA Developer 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 three-day instructor-led course is aimed at modern device management professionals looking to manage their enterprise devices using Microsoft Intune. This course will cover Enrolment, Application Management, Endpoint Security and Windows Autopilot as well as Azure Active Directory Conditional Access and Identity Protection. The delegates will learn how to enroll devices, deploy applications and manage them to maximize user productivity and device security. 1: Introduction to Microsoft Intune Mobile Device Management Microsoft Intune Azure Active Directory AAD Identity Protection AAD Conditional Access 2: Microsoft Intune Device Management Enrolling Devices Device Compliance Device Profiles Device Updates 3: Microsoft Intune Application Management Application Management Deploying Applications Application Configuration Managing Applications Policy Sets and Guided Scenarios 4: Microsoft Intune Endpoint Security Security Baselines and tasks Antivirus Disk Encryption Firewall Atack Surface reduction Endpoint detection and response Account Protection 5: Deploying Windows with Windows Autopilot Windows Autopilot overview Preparing for Windows Autopilot deployment Deploying Windows 11 using Windows Autopilot 6: Microsoft Intune Additional and Premium Features Remote Help Tunnel for Mobile Application Management Endpoint Privilege Management Advanced Endpoint Analytics Additional course details: Nexus Humans 55399 Implementing and Managing Microsoft Intune 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 55399 Implementing and Managing Microsoft Intune 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.

Aligned with the AIGP certification program, AI Governance Professional Training is for professionals tasked with implementing AI governance and risk management in their organizations. It provides baseline knowledge and strategies for responding to complex risks associated with the evolving AI landscape. This training meets the rapidly growing need for professionals who can develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies. About This Course This training teaches critical artificial intelligence governance concepts that are also integral to the AIGP certification exam. While not purely a 'test prep' course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.   Module 1: Foundations of artificial intelligence Defines AI and machine learning, presents an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context. Module 2: AI impacts on people and responsible AI principles Outlines the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the principles essential to responsible and ethical AI. Module 3: AI development life cycle Describes the AI development life cycle and the broad context in which AI risks are managed. Module 4: Implementing responsible AI governance and risk management Explains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI systems' potential societal benefits. Module 5: Implementing AI projects and systems Outlines mapping, planning and scoping AI projects, testing and validating AI systems during development, and managing and monitoring AI systems after deployment. Module 6: Current laws that apply to AI systems Surveys the existing laws that govern the use of AI, outlines key GDPR intersections, and provides awareness of liability reform. Module 7: Existing and emerging AI laws and standards Describes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed. Module 8: Ongoing AI issues and concerns Presents current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues. Accreditation The associated exam is accredited by the IAPP under its ANSI Accreditation Who Should Attend? Any professionals tasked with developing AI governance and risk management in their operations, and anyone pursuing IAPP Artificial Intelligence Governance Professional certification. Prerequisites A general understanding of AI, Corporate Governance, and Business value would be of benefit to participants. Assessment As with all IAPP exams, the AIGP is a 90 question, multiple choice exam to be completed within 150 minutes. Exams are hosted by Pearsonvue and can be taken either remotely, or via any one of hundreds of exam venues globally. A passing score is achieved at 70% Our Guarantee We are an approved IAPP training provider Exam pass guarantee, or retrain until you do, for free What's Included? Participant Guide Study Guide Practice Exam Exam voucher Breakfast, lunch, coffees and snacks (Classroom courses only) Certification Logo

Duration 5 Days 30 CPD hours This course is intended for Experienced vSphere administrators who want to use available tools to automate day-to-day tasks. Overview By the end of the course, you should be able to meet the following objectives:Describe the features and benefits of automation in a vSphere environmentUnderstand the role of the vSphere Web services API in automationUse the Managed Object Browser to view the structure of the vSphere Web services API and theVMware vCenter Server? inventoryUse vSphere PowerCLI to deploy and manage virtual machines and virtual infrastructureRun and manage vRealize Orchestrator workflows from the libraryDesign, develop, and run custom, reusable vRealize Orchestrator workflowsIncorporate JavaScript into vRealize Orchestrator workflowsSelect the appropriate tool for automating tasks in vCenter Server This course equips experienced administrators with the knowledge to use the automation tools that all vSphere customers have access to. Students learn how to automate administration tasks with VMware vSphere© PowerCLI? and VMware vRealize© Orchestrator?. Course Introduction Introductions and course logistics Course objectives Automation in vSphere Identify the features and the advantages of automation List the tools used to automate vCenter Server tasks vSphere API Identify the function of an API Recognize the components of VMware vSphere© API Understand how an API is consumed View objects and invoke methods with the Managed Object Browser vSphere PowerCLI Basics Connect vSphere PowerCLI to vCenter Server systems and VMware ESXi? hosts Understand vSphere PowerCLI concepts Use vSphere PowerCLI cmdlets Deploy and manage virtual infrastructure Advanced vSphere PowerCLI and the vSphere API Explore the vSphere object model Capture code with Onyx Use vSphere API documentation to analyze vCenter Server actions View objects with the Get-View cmdlet vSphere PowerCLI Use Cases Manage host networking Create a distributed switch Migrate hosts Create reports vRealize Orchestrator Basics Identify workflow components Run and manage library workflows Edit a workflow Build and schedule a simple workflow Debug a workflow vRealize Orchestrator Advanced Identify and use advanced vRealize Orchestrator workflow elements Implement vRealize Orchestrator workflow nesting Use variable types in a workflow Use JavaScript to create complex workflows Incorporate an Oynx script in a workflow vRealize Orchestrator Use Cases Create automation workflows that map to real-world scenarios Create reporting workflows that map to real-world scenarios Create migration workflows that map to real-world scenarios Create provisioning workflows that map to real-world scenarios vRealize Orchestrator PowerCLI Plug-In Invoke external scripts and pass workflow parameters as script inputs Generate new vRealize Orchestrator actions from Windows PowerShell and vSphere PowerCLI scripts and cmdlets Browse snap-ins and their associated cmdlets in the vRealize Orchestrator workflow editor vRealize Orchestrator Integration Understand the connectivity options for vRealize Orchestrator Differentiate between north-facing and south facing APIs List the APIs and their use cases Run a workflow through a REST call Guest Operations with vRealize Orchestrator and vSphere PowerCLI Use the most appropriate tools to perform guest operations Software Development Process & Tools Understand the software development lifecycle Understand version control system tools Map the correct tools to vRealize Orchestrator and vSphere PowerCLI

Duration 3 Days 18 CPD hours This course is intended for Participants are any IT specialist eager to become an industry recognized expert on Veeam software solutions:System Engineer / Administrator Backup / Virtualization Administrators Pre-Sales / Post-Sales / Solution Architects / Consultants Overview This certification is an excellent investment for an IT professional looking to increase productivity, reduce operating costs, increase potential for personal career advancement and gain recognition from the employer and customers. By completing the Veeam Certified Engineer (VMCE) course you should be able to:Get more functionality out of Veeam solutionsIdentify and resolve issues more efficientlyGain a distinction from your peers The Veeam Certified Engineer (VMCE) course is a 3 day technical deep-dive focused on teaching consultants and engineers to architect, implement, optimize and troubleshoot the Veeam software solution. Introduction Introduction Overview of Veeam products Hypervisor Support Veeam Backup & Replication key features Veeam One key features Veeam Management Pack vCloud Director Support Key concepts Backup Methods Scheduling Changed Block Tracking (CBT) Compression and Deduplication Retention Policy Veeam ONE features and functionality Auto Discovery of Backup and Virtual Infrastructure Business Categorization Pre-Defined Alerting Unattended monitoring Reporting and dashboards Agentless data gathering Hyper-V specific features Veeam One Deployment Veeam One assessment Tool Deployment Solution Architecture Deployment Scenarios Prerequisites Upgrading Veeam Backup & Replication Initial Configuration Adding Servers Adding a VMware Backup Proxy Adding a Hyper-V Offhost Backup Proxy Adding Backup Repositories Performing Configuration Backup and Restore Getting to Know User Interface Performing Backup Creating Backup Jobs Creating VM Copy Jobs Instant VM Recovery Replication (Replication Job, Failover, Failback) Insight into Replication Insight into Failover Insight into Failback SureBackup, SureReplica SureBackup Recovery Verification SureReplica Restore your VMs and Objects Data Recovery Restoring Microsoft Exchange and SharePoint objects Working with Veeam Backup & Replication Utilities 3-2-1 rule (Backup to tape, WAN, Backup Copy) Wan Accelerator Offsite Backup Copy Job Delegate file and VM restores with Veeam Backup Enterprise Manager Veeam Backup Enterprise Manager RESTful API HP StoreVirtual VSA Product Editions Product Editions Comparison Full and Free Troubleshooting How to review and analyze the issue Search for additional information Veeam Support Additional course details: Nexus Humans Veeam Certified Engineer (VMCE) 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 Veeam Certified Engineer (VMCE) 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 This course is most suited for IT professionals who have a need to understand the current requirements and core competences for managing IT in mission-critical environments. Overview After completion of the course the participant will be able to: 1. Provide guidance and implementation for IT strategy as set by senior IT and business management 2. Select and manage staff, implement training programs, career plan development and job rotation programs 3. Select, evaluate and negotiate vendors using RFI, RFP and selection criteria 4. Provide guidance for developing, testing and implementing business applications 5. Manage and/or assist in IT project management 6. Design and implement service management processes for incident, problem and change management 7. Understand the need for business continuity and design the business continuity plan 8. Review and implement information security practices and controls 9. Assist and initiate risk management practices 10. Understand and select new technologies such as cloud computing, big data, Internet of Things and social media to support business change demands 11. Select strategies for information management 12. Measure and improve quality of IT services CITS is designed to teach the skills, knowledge and competencies required of the modern IT specialist working at the senior professional, team-leader, supervisor or management level in IT management. IT Strategy The need for Information Technology Enterprise architecture Service catalogue Service level management Sustainable development IT Organisation Personnel need Roles and responsibilities Sourcing Selection process Hiring staff Managing staff Career planning Training / job rotation Performance appraisal Staff departures Vendor Selection / Management The importance of vendors Vendor selection Request For Information (RFI) Request For Proposal (RFP) Proposal evaluation Vendor reference checks Contract negotiation Contract management Vendor management Re-compete vendors Project Management Methodologies Project organisation Starting up / initiating Planning / initiation a project Risk Quality Scope Work / Product Breakdown Structure PERT diagram / Gantt chart Cost Communication Application Management Software Development Life Cycle (SDLC) Software Quality Assurance (SQA) Requirements Development Testing Adoption (implementation) Maintenance Service Management Incident management Problem management Change management Business Continuity Management Standards and guidelines Objectives Context Interested parties Scope Roles and responsibilities Resources and competences Awareness and communication Documentation Business Impact Analysis Risk Management Guidelines Context establishment Identification Analysis Evaluation Treatment Communication Monitoring and control Information Security Management Standards Confidentiality Integrity Availability Controls types Guideline for controls selection Control categories Information security awareness Security incident response Information and Knowledge Management Information management Data management Information management - technologies Business intelligence Data management - technologies Best practices in data governance Pitfalls in data governance Business Change Management Business change Frameworks, models and techniques Needs identification Cloud computing Social media / digital marketing Big data Internet of Things (IoT) Quality Management Standards, guidelines and frameworks Objectives Activities Services review Customer feedback Customer survey Key Performance Indicators (KPI) Metrics Scorecards and reports Quality register Exam Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Duration 1 Days 6 CPD hours This course is intended for Candidates for this exam are users who aspire to improve productivity by automating business processes, analyzing data to produce business insights, and acting more effectively by creating simple app experiences. Overview After completing this course, you will be able to: Describe Microsoft Power Platform components Describe Microsoft Dataverse and connectors Describe cross-cloud scenarios across M365, Dynamics 365, Microsoft Azure and 3rd party services Identify benefits and capabilities of Microsoft Power Platform Identify the basic functionality and business value Microsoft Power Platform components Implement simple solutions with Power Apps, Power Automate, and Power BI Learn the business value and product capabilities of Microsoft Power Platform. Create simple Power Apps, connect data with Dataverse, build a Power BI Dashboard, and automate processes with Power Automate. Module 1: Introduction to Microsoft Power Platform Identify when to use each Microsoft Power Platform component application to create business solution Learn the value of using Microsoft Power Platform to create business solutions Learn the components and features of Microsoft Power Platform Module 2: Introduction to Microsoft Dataverse Microsoft Dataverse Overview Module 3: Get Started with Power Apps Introduction to Power Apps How to build a canvas app How to build a model-driven app Module 4: Get Started with Power Automate Power Automate Overview How to Build an Automated Solution Module 5: Get Started with Power BI Power BI Overview How to Build a Simple Dashboard Module 6: Introduction to Power Virtual Agents Power Virtual Agents overview Additional course details: Nexus Humans PL-900T00 Microsoft Power Platform Fundamentals 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 PL-900T00 Microsoft Power Platform Fundamentals 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 The primary audience for this course is an IT, facilities or data centre operations professional working in and around the data centre and having the responsibility to achieve and improve high-availability and manageability of the data centre. Overview After completion of the course the participant will be able to:? Understand the design life cycle of data centres and the stages involved? Discuss the data centre requirements in great level of detail with vendors, suppliers and contractors to ensure that these requirements are met? Validate design plans, quotes and offers proposed by vendors/contractors? Understand redundancy levels for both the data centre design/setup and maintenance? Understand the various building considerations such as bullet proofing, mitigation of seismic activity, fire ratings and thermal stability? Understand how to install a raised floor that meets requirements, avoiding misalignment, level differences and leakage? Understand how to read a Single Line Electrical Diagram to identify and avoid the most common design issues? Choose the correct UPS and parallel configuration, learn and avoid classic parallel installation mistakes? Understand how to calculate battery banks, validate offered configurations to ensure they meet requirements? Understand what distance to keep to avoid EMF issues for human safety and equipment disturbances? Understand the fundamental cooling setup, CFM, Delta-T and other important factors? Understand contamination factors and limitations? Understand full details of fire suppression options, how to calculate gas content and verify installations? Understand how to measure data centre energy efficiency and how to improve it The course will bring participants to the level of a suitable sparring partner with suppliers. They will be able to verify offers provided by vendors for correctness, effectiveness and efficiency. Data Centre Design/Life Cycle Overview Overview of the phases of a data centre life cycle Planning, re-alignment and continuous improvement Standards and Rating Level Definitions Rating level history Difference between Uptime and TIA-942 Rating level definitions Redundancy options (N+1), 2N, 2(N+1) Concurrent Maintainability/Compartmentalisation Example configurations Substation and feed requirements Maintenance options Operational processes guidelines/standards Skill development Building Considerations Building location considerations Floor and hanging loads requirements Fire rating for walls and glass Blast protection Bullet proofing Forced entry protection Advanced Raised Floor & Suspended Ceiling Raised floor installation guidelines Techniques to install a proper and leveled raised access floor Common mistakes Choosing the right tiles and their locations Seismic-mitigating floor constructions Choosing the correct suspended ceiling Advanced Power Power infrastructure layout; Formulas which you should know for the data centre Single Line Electrical diagrams; how to read to ensure key components are present for protection Over current protection devices (MCB/MCCB/VCB/ACB/Fuses) definitions and what to use where Earth Leakage devices (RCB/RCD/ELCB/GFCI/ALCI/RCBO), definitions and what to use where Sizing of protective components Lightning strikes and surge protection devices (TVSS/SPD), how they operate, where to use and how to install Power cabling and cable run considerations PDU/DB setup and minimum requirements Generators; Generator types: Standy/Prime/Continuous Component make up and functions Fuel storage and calculation Paralleling of gen-sets Generator room/area requirements UPS Systems; Required specifications for UPS systems How to read data sheets and select the correct UPS Requirements for parallel configurations and avoid pitfalls such as single point of failures How parallel installation should be done, classic mistakes made by installers and how to avoid these Harmonic Filters; Active/Passive filters and their application Battery Banks; Battery bank terminology Designing battery banks, how to calculate, and double check the battery bank to be installed Battery charging pitfalls and ensuring the right charger is being installed and used Using parallel battery banks; how to properly install them, limitations and risks when using batteries in parallel How to test batteries correctly and make decisions on cell/block or string replacement Battery casing choices; ABS, V0, V1, V2 Alternative energy storage; flywheel, re-usable cell, compressed air UPS, etc. Advanced Electro Magnetic Fields Sources of EMF Difference between single, three phase and bus-bar EMF Options available to measure EMF and how to interpret the results from single-axes and composite measurements Guidance on safe distance for equipment and humans Calculation of EMF attenuation factor for shielding material permeability and saturation factors Advanced Cooling Important definitions; dry-bulb, wet-bulb, dew-point, RH, sensible and latent heat Psychometric chart and ASHRAE recommendations Environmental class definitions and thermal specifications Temperature/humidity measurements guideline Heat dissipation methods Altitude impact on temperature intake to ICT equipment Floor plan setup for effective cooling Differences in tile surface and supporting structure and the air-flow performance impact Rack door construction and the flow performance impact Equipment Delta-T and its impact Optimising air flow Thermal units conversions Calculations for air volume displacement (CFM/CMH) Cooling capacity calculations Air-conditioning selection De- / humidifying options Air conditioning efficiency SHR impact on cost saving Efficiency indicator New cooling principle and techniques (Submerged, VSD/VRF/ECF/water- and air side economisers) Redundancy guidelines for air-conditioners avoiding classic misconceptions and mistakes for meeting ANSI/TIA-942 compliant designs Installation requirements Connections to fire panel and EPO Commissioning of air conditioners Set points and calibration CFD (Computational Fluid Dynamics) Advanced Fire Protection The fire triangle and elements to stop a fire Detection systems in detail (VESDA, VIEW, smoke sensors) Considerations for installation of sensors Proper testing of smoke sensors Water based systems i.e. deluge, wet-pipe, dry-pipe, pre-action and why most of them don't work and how to detect this Details on Inert and Halocarbon systems and how to select the correct system for your data centre How to calculate the gas content ensuring the appropriate level is installed to suppress the fire including safety considerations Other requirements for gas systems such as release times, hold times, pipe install requirements and other important factors Requirements for the fire detection panel Installation verification, methods, what to check and how New advanced fire suppression technologies Design and Install Scalable Networking Cabling System ANSI/TIA942 cabling structure topology ToR, EoR Design Intelligent patching systems Installation best practice such as routing, bending radius, separation from power, containment fill ratio, fiber link loss calculator, bonding and grounding requirement Standard for telecommunications labeling and administration Environmental Specifications and Contamination Control Acoustic noise effects, regulations, specifications and limits Data centre contaminations and classifications Measurements, standards and limits Preventive measures and avoidance Data Centre Efficiency Business drivers to go Green High-availability or Green? Green guidelines and standards How to measure it and what are acceptable numbers compared to the general industry PUE classes defined by Green Grid and issues with PUE Techniques for saving energy in all parts of the data centre i.e. application/system level, cooling, power distribution Mock ExamEXAM: Certified Data Centre Specialist

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Duration 2 Days 12 CPD hours This course is intended for This training is ideally suited for data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities. It will also benefit system administrators and data engineers who wish to harness Elastic Stack's functionalities for efficient system logging, monitoring, and robust data visualization. With a focus on practical application, this course is perfect for those aspiring to solve complex data challenges in real-time environments across diverse industry verticals. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll explore: New features and updates introduced in Elastic Stack 7.0 Fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana Useful tips for using Elastic Cloud and deploying Elastic Stack in production environments How to install and configure an Elasticsearch architecture How to solve the full-text search problem with Elasticsearch Powerful analytics capabilities through aggregations using Elasticsearch How to build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis How to create interactive dashboards for effective storytelling with your data using Kibana How to secure, monitor and use Elastic Stack's alerting and reporting capabilities The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. Geared for experienced data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities, Working with Elasticsearch will explore how to use Elastic Stack and Elasticsearch efficiently to build powerful real-time data processing applications. Throughout the two-day hands-on course, you?ll explore the power of this robust toolset that enables advanced distributed search, analytics, logging, and visualization of data, enabled by new features in Elastic Stack 7.0. You?ll delve into the core functionalities of Elastic Stack, understanding the role of each component in constructing potent real-time data processing applications. You?ll gain proficiency in Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for compelling data visualization. You?ll also explore the art of crafting custom plugins using Kibana and Beats, and familiarize yourself with Elastic X-Pack, a vital extension for effective security and monitoring. The course also covers essentials like Elasticsearch architecture, solving full-text search problems, data pipeline building, and creating interactive Kibana dashboards. Learn how to deploy Elastic Stack in production environments and explore the powerful analytics capabilities offered through Elasticsearch aggregations. The course will also touch upon securing, monitoring, and utilizing Elastic Stack's alerting and reporting capabilities. Hands-on labs, captivating demonstrations, and interactive group activities enrich your learning journey throughout the course. Introducing Elastic Stack What is Elasticsearch, and why use it? Exploring the components of the Elastic Stack Use cases of Elastic Stack Downloading and installing Getting Started with Elasticsearch Using the Kibana Console UI Core concepts of Elasticsearch CRUD operations Creating indexes and taking control of mapping REST API overview Searching - What is Relevant The basics of text analysis Searching from structured data Searching from the full text Writing compound queries Modeling relationships Analytics with Elasticsearch The basics of aggregations Preparing data for analysis Metric aggregations Bucket aggregations Pipeline aggregations Substantial Lab and Case Study Analyzing Log Data Log analysis challenges Using Logstash The Logstash architecture Overview of Logstash plugins Ingest node Visualizing Data with Kibana Downloading and installing Kibana Preparing data Kibana UI Timelion Using plugins