Make your goals and dreams reality in 2023: Create a Vision Board
Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is any IT, facilities or data centre professional, who are involved in the design/build, renovation or relocation of a mission-critical data centre. Overview This 5-day course is designed to prepare participants to analyse a given business case and perform technical evaluation for a project plan and a set of designs for the implementation of a mission critical data centre. The course also engages participants in product evaluations and demonstrates how to select equipment and develop equipment test scripts (IET) and integrated performance and validation testing (IPVT). CDCE© builds upon knowledge gained in CDCP and CDCS courses. Participants who pass the exam will join the industry's elite data centre project design experts. CDCE© is the highest level training in the EPI Design and Build training track under the EPI Data Centre Training Framework. Participants must hold a valid CDCS certificate in order to be able to register for the CDCE class. CDCE© is the premier certification for data centre professionals in the data centre design/build and related fields. Data Centre Life Cycle Data centre lifecycle stages and phases Exercise: Stage/Phase/Milestone/Document mapping Design Preparation Creation of a SON ? Statement Of Need Technology review Conceptual sizing How to calculate for computer room space How to calculate facility space How to calculate incoming power Exercise: Conceptual sizing building and power Analysing capacity of existing facility Analysing investment options Site selection Permits and approvals Exercise: Site selection Conceptual design Budget and project timeline Business case preparation Project delivery structure Project management options Project manager and team Design Planning OSRA?Operational Systems Requirement Analysis TFRA?Technical Facilities Requirement Analysis Operations and maintenance review RFP?Request For Proposal process Vendor selection Design Development Project planning Design development PDR ? Preliminary Design Review Equipment selection FDR/V ? Final Design Review/Validation Exercise: Full design validation of power, cooling, floor plans, fire suppression Design freeze and LLTI Creation of construction documents BOM/BOQ ? Bill Of Material/Bill Of Quantity Exercise: Equipment selection Acquire Requirements of purchase orders Shipping terms FWT/FAT ? Factory Witness Test/Factory Acceptance Test Sequencing Incoming goods inspection and handling Asset management Construct Temporary essential services Erection of the building Permanent essential services Building inspection Snag list COF?Certificate Of Fitness Fit-Out Fit-Out Builders cleaning As-Built Drawings Test & Commissioning IET?Individual Equipment Test IPVT/IST?Integrated Performance Verification Test/Integrated Systems Test Common mistakes with IET/IPVT Deep cleaning Exercise: IET/IPVT scripting Hand-Over Facility hand-over requirements and documents PCC?Practical Completion Certificate DLP?Defect Liability Period Defect Management ICT Systems Installation ICT Systems Testing Hand-Over/DLP Expiry FCC?Final Completion Certificate Retirement Reasons and definitions of retirement Building the business case and project plan Sequencing Transfer of site Demolishing of site Legal matters FCC?Final Completion Certificate Exam: Certified Data Centre Expert (CDCE©) The CDCE© exam is in two parts: Part A is a 90-minute closed book exam, with 60 multiple-choice questions. For Part A, the candidate requires a minimum of 45 correct answers to pass the exam. Part B is a 90-minute closed book exam, with 25 open questions. For Part B the candidate needs to obtain a minimum of 75% to pass. Additional course details: Nexus Humans Certified Data Centre Expert (CDCE) 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 Certified Data Centre Expert (CDCE) 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 5 Days 30 CPD hours This course is intended for This course is designed for IT professionals who wish to develop cloud computing skills to enable them to move IT workloads to the cloud and integrate products and services from different providers and industries. Their focus is to ensure that cloud deployments are secure, that automation and orchestration are used effectively to bring business value from the cloud, and that costs are controlled through effective management of cloud vendors. This course is also designed for students who are preparing to take the CompTIA Cloud+ certification exam CV0-003, or who plan to use Cloud+ as the foundation for more advanced cloud certifications or career roles. Overview In this course, you will deploy, test, secure, manage, optimize, and troubleshoot a cloud solution. You will: - Prepare to deploy cloud solutions - Deploy a pilot project - Test a pilot project deployment - Design a secure network for cloud deployment - Determine CPU and memory sizing for cloud deployments - Determine storage requirements for cloud deployments - Plan Identity and Access Management for cloud deployments - Analyze workload characteristics to ensure successful migration to the cloud - Secure systems to meet access requirements - Maintain cloud systems - Implement backup, restore, and business continuity measures - Analyze cloud systems for required performance - Analyze cloud systems for anomalies and growth forecasting - Troubleshoot deployment, capacity, automation, and orchestration issues - Troubleshoot connectivity issues - Troubleshoot security issues In this course, you will learn how to implement, maintain, and deliver cloud technologies including network, storage, and virtualization technologies to create cloud solutions. 1 - PREPARING TO DEPLOY CLOUD SOLUTIONS Describe Interaction of Cloud Components and Services Describe Interaction of Non-cloud Components and Services Evaluate Existing Components and Services for Cloud Deployment Evaluate Automation and Orchestration Options Prepare for Cloud Deployment 2 - DEPLOYING A PILOT PROJECT Manage Change in a Pilot Project Execute Cloud Deployment Workflow Complete Post-Deployment Configuration 3 - TESTING PILOT PROJECT DEPLOYMENTS Identify Cloud Service Components for Testing Test for High Availability and Accessibility Perform Deployment Load Testing Analyze Test Results 4 - DESIGNING A SECURE AND COMPLIANT CLOUD INFRASTRUCTURE Design Cloud Infrastructure for Security Determine Organizational Compliance Needs 5 - DESIGNING AND IMPLEMENTING A SECURE CLOUD ENVIRONMENT Design Virtual Network for Cloud Deployment Determine Network Access Requirements Secure Networks for Cloud Interaction Manage Cloud Component Security Implement Security Technologies 6 - PLANNING IDENTITY AND ACCESS MANAGEMENT FOR CLOUD DEPLOYMENTS Determine Identity Management and Authentication Technologies Plan Account Management Policies for the Network and Systems Control Access to Cloud Objects Provision Accounts 7 - DETERMINING CPU AND MEMORY SIZING FOR CLOUD DEPLOYMENTS Determine CPU Size for Cloud Deployment Determine Memory Size for Cloud Deployment 8 - DETERMINING STORAGE REQUIREMENTS FOR CLOUD DEPLOYMENTS Determine Storage Technology Requirements Select Storage Options for Deployment Determine Storage Access and Provisioning Requirements Determine Storage Security Options 9 - ANALYZING WORKLOAD CHARACTERISTICS TO ENSURE SUCCESSFUL MIGRATION Determine the Type of Cloud Deployment to Perform Manage Virtual Machine and Container Migration Manage Network, Storage, and Data Migration 10 - MAINTAINING CLOUD SYSTEMS Patch Cloud Systems Design and Implement Automation and Orchestration for Maintenance 11 - IMPLEMENTING BACKUP, RESTORE, DISASTER RECOVERY, AND BUSINESS CONTINUITY MEASURES Back Up and Restore Cloud Data Implement Disaster Recovery Plans Implement Business Continuity Plans 12 - ANALYZING CLOUD SYSTEMS FOR PERFORMANCE Monitor Cloud Systems to Measure Performance Optimize Cloud Systems to Meet Performance Criteria 13 - ANALYZING CLOUD SYSTEMS FOR ANOMALIES AND GROWTH FORECASTING Monitor for Anomalies and Resource Needs Plan for Capacity Create Reports on Cloud System Metrics 14 - TROUBLESHOOTING DEPLOYMENT, CAPACITY, AUTOMATION, AND ORCHESTRATION ISSUES Troubleshoot Deployment Issues Troubleshoot Capacity Issues Troubleshoot Automation and Orchestration Issues 15 - TROUBLESHOOTING CONNECTIVITY ISSUES Identify Connectivity Issues Troubleshoot Connectivity Issues 16 - TROUBLESHOOTING SECURITY ISSUES Troubleshoot Identity and Access Issues Troubleshoot Attacks Troubleshoot Other Security Issues Additional course details: Nexus Humans CompTIA Cloud Plus Certification (Exam CV0-003) 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 CompTIA Cloud Plus Certification (Exam CV0-003) 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 geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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 1.875 Days 11.25 CPD hours This course is intended for The job roles best suited to the material in this course are: team leaders, project managers, managers of scrum teams, teams transitioning to scrum, professionals intending to pursue the scrum master certification. Overview How to use the Scrum Framework to deliver products and services faster and with higher quality. How to leverage lean principles to identify waste in a system, process, or organization. Techniques and metics Scrum Masters use to improve. team happiness and performance. The patterns and practices of high-performing teams. How the Scrum Master role scales in an Agile implementation. This course is an adaptive, repeatable process that equips individuals and organizations in how to thrive in a world where change is the only constant. From Fortune 100 companies (Google, Amazon, Apple, etc) to nonprofits. Scrum has a proven record of reducing burnout, doubling throughput in half the time, and increase employee happiness. Core Scrum The Scrum Framework The Origins of Scrum (Optional) The Scrum Team Developers Scrum Master Leadership/Management Scrum Events The Sprint Product Backlog Re1nement Estimation Sprint Planning Sprint Review Sprint Retrospective Daily Scrum Scrum Artifacts Lean Principles Describe a Kaizen mindset and explain how small, iterative changes can lead to revolutionary leaps. Describe the three pillars of Scrum ? Transparency, Inspection, and Adaptation,? which implement the work of Ogunnaike and Ray. Explain the importance of reducing and eliminating waste in the system. Perform a root-cause analysis (e.g., using the ?5 Whys? technique). Assess the Process EZciency of their Scrum Team and recall that the de1nition of Lean is a Process EZciency of 25% or higher. Explain how the work of Takeuchi and Nonaka on Lean and the Toyota Production System paved the way for Scrum. Describe the origins of the name ?Scrum? from Takeuchi and Nonaka?s ?New New Product Development Game. Recognize that a Lean mindset suggests that you address a defect immediately after it is identi1ed as opposed to a mindset where defects are stored to be 1xed later. Agile Manifesto Recognize the four values of the Agile Manifesto and their signi1cance in the context of complex adaptive systems. Identify the 12 principles of the Agile Manifesto and describe their function in guiding practices that support teams in implementing and executing with agility. Explain that Scrum is one of the driving forces that gave rise to the Agile movement and predates the Agile Manifesto. Explain why the majority of ?Agile? teams are late, over-budget, and with unhappy customers (i.e., not agile) and explain what needs to be done to 1x that. Patterns of High Performing Teams Yesterday?s Weather Happiness Metric Teams that Finish Early Accelerate Faster Stable Teams Swarming Interrupt Buffer Good Housekeeping (formerly Daily Clean Code) Scrum Emergency Procedure Scrum@Scale Descaling Scaling the Scrum Master Registered Scrum Master Credential Access and complete the Registered Scrum Master by Scrum Inc. exam. Download their Registered Scrum Master Credential (upon successful completion of the exam). Be Recognized in the International Registry of Agile ProfesstionalsTM State the renewal process. Additional course details: Nexus Humans Agile Scrum 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 Agile Scrum 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.
The NCSP® 800-53 Practitioner accredited (APMG International), certified (NCSC/GCHQ-UK), and recognized (DHS-CISA-USA) certification course teaches Digital Business, Operational Stakeholders, Auditors, and Risk Practitioners a Fast-Track approach to adopting and adapting the NIST Cybersecurity Framework and its 800-53 controls across an enterprise and its supply chain.The course also teaches candidates how to build a Digital Value Management System (DVMS) CPD overlay model capable of enabling the quick adoption and adaption of new frameworks and models (NIST-CSF, NIST Privacy Framework, CMMC, etc.) that may be required to address internal, external (regulatory), and cyber threat landscape changes. Finally, the course teaches candidates how to ensure the organization's DVMS is designed for use within the organization and auditable by government regulators looking to verify regulatory outcomes. The NCSP Practitioner 800-53 course is designed for both the Implementer and Auditor topics and participants select the exam they want to take (or an additional exam can be ordered to be certified as both an implementer and auditor).
DASA DevOps Fundamentals: In-House Training The DASA DevOps Fundamentals™ certification provides the core education necessary to build your DevOps vocabulary and understand its principles and practices. It's the ideal starting point for DevOps journeys, whether you're already familiar with working with Agile and/or DevOps teams or not. Faster software deployment, increased deployment frequency, and higher change success rate are only some of the visible outcomes of practicing DevOps. Organizations such as Netflix, Spotify, and Facebook are transforming IT by successfully implementing DevOps principles. But you don't have to be big to be a DevOps leader. Companies large and small, young and old, have smoothly made the transition and have the proof of success in their pockets. This course will inspire you to serve as a change champion by sharing and using what you learned, and continue to learn, about DevOps to lead and mentor others. A solid understanding of DevOps Fundamentals has helped numerous professionals and organizations how to approach a DevOps journey, not only from a tool and automation perspective but also looking in-depth at the softer side of things. This course provides learners with an extensive introduction to the core Agile DevOps principles. It covers all 12 key knowledge and skill competencies defined by DASA to ensure you acquire a solid knowledge of DevOps concepts and terminology. Multiple cases or scenarios, group discussions, and examples are included in the course to enhance your learning experience. What you will Learn DASA DevOps Fundamentals-certified professionals are able to: Explain the drivers responsible for the emergence of DevOps. Define and discuss the key concepts and principles of DevOps. List and explain the business benefits of DevOps and continuous delivery. Know how teams can translate DevOps principles into tangible practices. Learn about modern operations in a DevOps context. Explain the concepts of test automation, infrastructure automation, and build and deployment automation. Describe how DevOps relates to Lean and Agile methodologies. Get insight into the various organizational DevOps models and architectures. Identify how Cloud and Delivery pipeline automation optimizes and accelerates the ways of working. Discuss the critical success factors for DevOps transformation. Introducing DASA DevOps Fundamentals DASA DevOps Fundamentals An Introduction Case Study - Easy Journey Airways Building the DevOps Context DevOps Evolution Business Benefits of DevOps DASA DevOps Principles Goals and Measurements Knowing DevOps for Individuals T-Shape Profiles DevOps Capabilities by DASA DASA DevOps Certifications Getting Acquainted with DevOps Culture and Behavior Embracing a DevOps Culture Core Elements of a DevOps Culture Implementation of a DevOps Culture Understanding the Value of DevOps for Teams and Organizations Organizational Models Team Autonomy DevOps at Scale Getting Familiar with DevOps Management Practices ITSM Lean Agile Getting Familiar with DevOps Technical Practices Architecture Modern Infrastructure and Cloud Operations Enabling DevOps Team Performance Through Continuous Delivery and Automation Software Delivery Automation Concepts Continuous Delivery Core Concepts Continuous Delivery Automation Concepts Continuous Delivery Automation Focus Topics Measuring the Performance - The Next Steps Analyze the Current Situation Improve Incrementally
DASA DevOps Fundamentals: Virtual In-House Training The DASA DevOps Fundamentals™ certification provides the core education necessary to build your DevOps vocabulary and understand its principles and practices. It's the ideal starting point for DevOps journeys, whether you're already familiar with working with Agile and/or DevOps teams or not. Faster software deployment, increased deployment frequency, and higher change success rate are only some of the visible outcomes of practicing DevOps. Organizations such as Netflix, Spotify, and Facebook are transforming IT by successfully implementing DevOps principles. But you don't have to be big to be a DevOps leader. Companies large and small, young and old, have smoothly made the transition and have the proof of success in their pockets. This course will inspire you to serve as a change champion by sharing and using what you learned, and continue to learn, about DevOps to lead and mentor others. A solid understanding of DevOps Fundamentals has helped numerous professionals and organizations how to approach a DevOps journey, not only from a tool and automation perspective but also looking in-depth at the softer side of things. This course provides learners with an extensive introduction to the core Agile DevOps principles. It covers all 12 key knowledge and skill competencies defined by DASA to ensure you acquire a solid knowledge of DevOps concepts and terminology. Multiple cases or scenarios, group discussions, and examples are included in the course to enhance your learning experience. What you will Learn DASA DevOps Fundamentals-certified professionals are able to: Explain the drivers responsible for the emergence of DevOps. Define and discuss the key concepts and principles of DevOps. List and explain the business benefits of DevOps and continuous delivery. Know how teams can translate DevOps principles into tangible practices. Learn about modern operations in a DevOps context. Explain the concepts of test automation, infrastructure automation, and build and deployment automation. Describe how DevOps relates to Lean and Agile methodologies. Get insight into the various organizational DevOps models and architectures. Identify how Cloud and Delivery pipeline automation optimizes and accelerates the ways of working. Discuss the critical success factors for DevOps transformation. Introducing DASA DevOps Fundamentals DASA DevOps Fundamentals An Introduction Case Study - Easy Journey Airways Building the DevOps Context DevOps Evolution Business Benefits of DevOps DASA DevOps Principles Goals and Measurements Knowing DevOps for Individuals T-Shape Profiles DevOps Capabilities by DASA DASA DevOps Certifications Getting Acquainted with DevOps Culture and Behavior Embracing a DevOps Culture Core Elements of a DevOps Culture Implementation of a DevOps Culture Understanding the Value of DevOps for Teams and Organizations Organizational Models Team Autonomy DevOps at Scale Getting Familiar with DevOps Management Practices ITSM Lean Agile Getting Familiar with DevOps Technical Practices Architecture Modern Infrastructure and Cloud Operations Enabling DevOps Team Performance Through Continuous Delivery and Automation Software Delivery Automation Concepts Continuous Delivery Core Concepts Continuous Delivery Automation Concepts Continuous Delivery Automation Focus Topics Measuring the Performance - The Next Steps Analyze the Current Situation Improve Incrementally