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This course is aimed at those who would like to work as a learning support assistant in a school or further education setting. Level 3 Certificate in Supporting Teaching and Learning will give you an understanding of the skills and knowledge needed to support learners in the classroom.

Why Opt for the Rhino 3D Training Course in Jewelry Design? Click here for more info Within a span of 10 hours, you'll master the interface and gain insights into how Rhino leverages points, lines, surfaces, and solids to fashion printable 3D objects. Moreover, you'll explore the art of crafting repetitive and intricate geometric shapes, perfect for creating minimalist and elegant jewelry. Flexible Scheduling: 1-on-1 training sessions tailored to your schedule. Pick any hour between 9 am and 7 pm from Mon to Sat. Course Duration: 10 hours. Training Methods: Choose between in-person sessions or live online training. Why Choose Our Rhino 3D Training Course for Jewelry Design? Rhino, also known as Rhinoceros, stands as a robust 3D computer graphics and computer-aided design software extensively utilized in various industries, including architecture, industrial design, and multimedia. LDTC offers meticulously crafted Rhino courses to empower you in mastering this software. Led by experienced instructors, our courses ensure a comprehensive understanding of Rhino, equipping you to create exceptional designs, specifically tailored for jewelry creation. Rhino 3D Training for Jewelry Design: Our Rhino 3D training caters to both beginners and those aspiring to acquire advanced techniques, emphasizing its application in jewelry design. Course Highlights: Precise 3D Modeling: Master the art of crafting free-form 3D NURBS models with utmost precision. Advanced Functionality: Explore Rhino's advanced surfacing commands and features tailored for jewelry design. User Interface Mastery: Navigate Rhino's interface seamlessly and refine your skills in curves, surfaces, and solids. Expert Guidance: Acquire expertise in Rhino's modeling environment under the guidance of seasoned professionals. Modeling Why Choose Our Rhino 3D Training Course for Jewelry Design? Rhino, also known as Rhinoceros, stands as a robust 3D computer graphics and computer-aided design software extensively utilized in various industries, including architecture, industrial design, and multimedia. LDTC offers meticulously crafted Rhino courses to empower you in mastering this software. Led by experienced instructors, our courses ensure a comprehensive understanding of Rhino, equipping you to create exceptional designs, specifically tailored for jewelry creation. Rhino for Jewelry Design - 16-Hour Course Module 1: Introduction and Navigation Get acquainted with Rhino's interface, menus, and screen layout. Navigate Rhino models with precision in 2D lines, polylines, and NURBS curves. Use modeling setup features like snap, ortho, and planar constraints for accuracy. Leverage object snaps and Smart Track functionality for enhanced precision. Module 2: Solid and Surface Modeling Fundamentals Rapidly develop 3D solids and surfaces using Rhino's organized layering system. Utilize coordinates and constraints for meticulous modeling in 3D space. Create diverse shapes, including rectangles, circles, arcs, ellipses, and polygon curves. Enhance models with Rhino render, render color, and free-form curves. Efficiently handle model views with pan, zoom, and view management tools. Implement various editing commands for curve manipulation and transforming curves into surfaces and solids. Utilize history tracking for advanced editing and execute general editing actions. Module 3: Intermediate Edit and Surfacing Techniques Introduce essential NURBS modeling concepts and terminologies. Edit curves and surfaces through control point manipulation and rebuilding for optimal refinement. Use the nudge modeling aid for precise adjustments and generate deformable shapes. Create curves through projection techniques and split surfaces using curves and surfaces. Blend surfaces seamlessly, utilizing symmetry tools, lighting, and rendering effects. Convert intricate 3D objects into detailed 2D drawings and craft page layouts. Module 4: Advanced Surfacing and Solid Modeling Techniques Construct model primitives and solid text using techniques such as pipe and extrusion. Efficiently modify solids using Boolean tools, expanding surface modeling capabilities. Utilize techniques like extrusion, lofting, and revolving for intricate surfaces. Create sweeps using 1 and 2 rail curves and master surface network techniques for complex shapes. Downlaod Rhino. Upon completion of the Rhino 3D Training Course for Jewelry Design, participants can expect the following learning outcomes: Mastering Rhino Interface: Gain a comprehensive understanding of Rhino's interface, menus, and screen layout. Precision in Modeling: Navigate Rhino models with precision using 2D lines, polylines, and NURBS curves. Modeling Setup Proficiency: Utilize modeling setup features such as snap, ortho, and planar constraints for accurate designs. Enhanced Navigation Techniques: Leverage object snaps and Smart Track functionality for enhanced precision during navigation. Solid and Surface Modeling Skills: Rapidly develop 3D solids and surfaces with Rhino's organized layering system. Coordination and Constraint Application: Utilize coordinates and constraints for meticulous modeling in 3D space. Diverse Shape Creation: Create diverse shapes, including rectangles, circles, arcs, ellipses, and polygon curves. Rendering and Enhancement Techniques: Enhance models with Rhino render, render color, and free-form curves. Efficient Model View Handling: Efficiently handle model views with pan, zoom, and view management tools. Intermediate Edit and Surfacing Techniques: Edit curves and surfaces through control point manipulation and rebuilding for optimal refinement. NURBS Modeling Mastery: Introduce essential NURBS modeling concepts and terminologies. Advanced Editing and Modeling Skills: Use the nudge modeling aid for precise adjustments and generate deformable shapes. Complex Shape Creation: Create sweeps using 1 and 2 rail curves and master surface network techniques for intricate shapes. Solid Modeling Proficiency: Construct model primitives and solid text using techniques such as pipe and extrusion. Application of Boolean Tools: Efficiently modify solids using Boolean tools, expanding surface modeling capabilities. Advanced Surfacing Techniques: Utilize techniques like extrusion, lofting, and revolving for intricate surfaces. Conversion and Crafting of 2D Drawings: Convert intricate 3D objects into detailed 2D drawings and craft page layouts. Hands-On Project Experience: Engage in practical exercises and hands-on projects tailored for jewelry design applications. Upon mastering these skills, participants will be well-equipped to create sophisticated jewelry designs using Rhino 3D modeling software.

About this Virtual Instructor Led Training (VILT) Hydrogen will play an increasingly critical role in the future of energy system as it moves forward to supplement and potentially replace fossil fuels in the long run. Offshore wind offers a clean and sustainable renewable resource for green hydrogen production. However, it can also be volatile and presents inherent risks that need to be managed. Even though offshore production of hydrogen has yet to achieve a high state of maturity, many current projects are already dealing with the conditions and effects of offshore production of hydrogen and are grappling with the technological requirements and necessary gas transportation with grid integration. This 2 half-day Virtual Instructor Lead Training (VILT) course will examine the technological options for on-site production of hydrogen by electrolysis (onshore or offshore directly at the platform) as well as the transport of hydrogen (pipeline or ship). This VILT course will also explore the economic considerations and the outlook on future market opportunities. There will be exercises for the participants to work on over the two half-days. This course is delivered in partnership with Fraunhofer IEE. Training Objectives By the end of this VILT course, participants will be able to: Understand the technological attributes and options for green hydrogen production based on electricity from offshore wind. Explore the associated economic analysis for offshore wind hydrogen production, including CAPEX, OPEX, LCOE and LCOH Identify the critical infrastructure and technical configuration required for offshore green hydrogen including transportation networks and grid connectivity Learn from recent findings from current Research & Development projects concerning the differences between onshore and offshore hydrogen production. Target Audience This VILT course is intended: Renewable energy developers and operators Offshore oil & gas operators Energy transport and marine operators Energy policy makers and regulators IPPs and power utilities Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Trainer 1: Your expert course leader is Director of Energy Process Technology Division at the Fraunhofer Institute for Energy Economics and Energy System Technology, IEE. The research activities of the division link the areas of energy conversion processes and control engineering. The application fields covered are renewable energy technologies, energy storage systems and power to gas with a strong focus on green hydrogen. From 2006 - 2007, he worked as a research analyst of the German Advisory Council on Global Change, WBGU, Berlin. He has extensive training experience from Bachelor and Master courses at different universities as well as in the context of international training activities - recently on hydrogen and PtX for partners in the MENA region and South America. He holds a University degree (Diploma) in Physics, University of Karlsruhe (KIT). Trainer 2: Your expert course leader is Deputy Head of Energy Storage Department at Fraunhofer IEE. Prior to this, he was the director of the Grid Integration Department at SMA Solar Technology AG, one of the world's largest manufacturers of PV power converters. Before joining SMA, he was manager of the Front Office System Planning at Amprion GmbH (formerly RWE TSO), one of the four German transmission system operators. He holds a Degree of Electrical Engineering from the University of Kassel, Germany. In 2003, he finished his Ph.D. (Dr.-Ing.) on the topic of wind power forecasting at the Institute of Solar Energy Supply Technology (now known as Fraunhofer IEE) in Kassel. In 2004, he started his career at RWE TSO with a main focus on wind power integration and congestion management. He is Chairman of the IEC SC 8A 'Grid Integration of Large-capacity Renewable Energy (RE) Generation' and has published several papers about grid integration of renewable energy source and forecasting systems on books, magazines, international conferences and workshops. Trainer 3: Your expert course leader is Deputy Director of the Energy Process Technology division and Head of the Renewable Gases and Bio Energy Department at Fraunhofer IEE. His work is mainly focused on the integration of renewable gases and bioenergy systems into the energy supply structures. He has been working in this field since more than 20 years. He is a university lecturer in national and international master courses. He is member of the scientific advisory council of the European Biogas Association, member of the steering committee of the Association for Technology and Structures in Agriculture, member of the International Advisory Committee (ISAC) of the European Biomass Conference and member of the scientific committees of national bioenergy conferences. He studied mechanical engineering at the University of Darmstadt, Germany. He received his Doctoral degree on the topic of aerothermodynamics of gas turbine combustion chambers. He started his career in renewable energies in 2001, with the topic of biogas fired micro gas turbines. Trainer 4: Your expert course leader has an M. Sc. and she joined Fraunhofer IEE in 2018. In the Division of Energy Process Technology, she is currently working as a Research Associate on various projects related to techno-economic analysis of international PtX projects and advises KfW Development Bank on PtX projects in North Africa. Her focus is on the calculation of electricity, hydrogen and derivative production costs (LCOE, LCOH, LCOA, etc) based on various methods of dynamic investment costing. She also supervises the development of models that simulate different PtX plant configurations to analyze the influence of different parameters on the cost of the final product, and to find the configuration that gives the lowest production cost. She received her Bachelor's degree in Industrial Engineering at the HAWK in Göttingen and her Master's degree in renewable energy and energy efficiency at the University of Kassel. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

SolarWinds NPM training course description A hands on course providing a solid foundation on network management using SolarWinds. The course specifically focusses on SolarWinds Orion Network Performance Monitor. The course starts with configuring agents and device discovery, onto exploiting SNMP with SolarWinds and then Alerts, reports and customisation of menus, views and maps. What will you learn Discover devices using Solarwinds. Use Solarwinds. Poll and monitor devices using Solarwinds. Create Alarms and reports. Diagnose faults using Solarwinds. SolarWinds NPM training course details Who will benefit: Technical staff working with Solarwinds. Prerequisites: None. Duration 2 days SolarWinds NPM training course content Getting started with SolarWinds What is SolarWinds, Products, ICMP, WMI, SNMP. Installing SolarWinds. Hands on Connecting to SolarWinds, configuring users and groups, using SolarWinds. Device discovery with SolarWinds Manual discovery, automatic discovery, controlling IP discovery, polling, thresholds. Hands on Adding ICMP only, SNMP and WMI nodes. dependencies, groups. Agents Configuring Cisco devices for SNMP support, communities, traps, syslog. MIBs, SNMPv3, obtaining MIB information. Universal device poller. Hands on MIB browser, MIB walking, syslog. Message center. Using SolarWinds The home page, Views, changing views, adding views. Hands on Views and menu customisation. Server monitoring. Alerts Filters, acknowledgements, notes. Basic alert configuration, Advanced alert configuration. Hands on Configuring alerts. Reports Creating reports, on demand reports, scheduled reports, customising reports, adding reports to views. Standard reports. Hands on Performance reports. Graphs. Maps Orion Network Atlas, the background, adding objects, connect now, applying to views. Hands on Customising a map. Administration Backups, the database.

Intro to containers training course description This course looks at the technologies of containers and microservices. The course starts with a look at what containers are, moving onto working with containers. Networking containers and container orchestration is then studied. The course finishes with monitoring containers with Prometheus and other systems. Hands on sessions are used to reinforce the theory rather than teach specific products, although Docker and Kubernetes are used. What will you learn Use containers. Build containers. Orchestrate containers. Evaluate container technologies. Intro to containers training course details Who will benefit: Those wishing to work with containers. Prerequisites: Introduction to virtualization. Duration 2 days Intro to containers training course contents What are containers? Virtualization, VMs, What are containers? What are microservices? Machine containers, application containers. Benefits. Container runtime tools Docker, LXC, Windows containers. Architecture, components. Hands on Installing Docker client and server. Working with containers Docker workflow, Docker images, Docker containers, Dockerfile, Building, running, storing images. Creating containers. Starting, stopping and controlling containers. Public repositories, private registries. Hands on Exploring containers. Microservices What are microservices? Modular architecture, IPC. Hands on Persistence and containers. Networking containers Linking, no networking, host, bridge. The container Network Interface. Hands on Container networking Container orchestration engines Docker swarm: Nodes, services, tasks. Apache Mesos: Mesos master, agents, frameworks. Kubernetes: Kubectl, master node, worker nodes. Openstack: Architecture, containers in OpenStack. Amazon ECS: Architecture, how it works. Hands on Setup and access a Kubernetes cluster. Managing containers Monitoring, logging, collecting metrics, cluster monitoring tools: Heapster. Hands on Using Prometheus with Kubernetes.

LTE training course description This course is designed to give the delegate an understanding of the technologies used within a 3G UMTS mobile network. During the course we will investigate the UMTS air interface and the use of Wideband-Code Division Multiple Access (WCDMA) to facilitate high speed data access, together with HSPA to offer mobile broadband services. We will describe the use of soft handover rather than hard handover procedures and soft capacity sharing. The course includes a brief exploration of the UMTS protocol stack and the use of PDP Context and QoS support features. What will you learn Explain the 3G UMTS architecture. Describe the role of a Drifting & Serving RNC. Explain the use of ARQ & HARQ for mobile broadband. Describe how IMS integrates into the architecture. Describe the use of Media Gateway Controllers. Identify the temporary identities used within 3G UMTS. LTE training course details Who will benefit: Anyone working within the telecommunications area, especially within the mobile environment. Prerequisites: Mobile communications demystified Telecommunications Introduction Duration 2 days LTE training course contents LTE Introduction The path to LTE, 3GPP. LTE to LTE advanced. LTE Architecture The core, Access, roaming. Protocols: User plane, Control plane. Example information flows. Bearer management. Spectrum allocation. LTE technologies Transmission, reception, OFDMA, multiple antenna, MIMO. LTE Air interface Air interface protocol stack. Channels, Resource Grid, cell acquisition. Up and downlink controls. Layer 2 protocols. Cell acquisition Power on, selecting networks and cells. RRC connection. Attach procedure. Mobility management Roaming, RRC_IDLE, RRC_CONNECTED, cell reselection, handover, interoperation with UMTS and GSM networks. Voice and text IMS, QoS, policy and charging.

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution

Successful communications are all about making the message as simple as possible – but this can be difficult when the subjects we're talking about are inherently complicated.  Academic institutions, tech companies, health organisations, charities and many others have complex ideas, processes and systems at the heart of what they do.  This course is for anybody who needs to distill information down into key messages for important stakeholders, funders and investors, decision makers and members of the public.  You’ll learn proven techniques for grabbing attention and changing minds through presentations and public speaking, infographics and data visualisations, and written reports and online posts.  We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve. Sample learning content Session 1: Understanding your audience Matching your objectives to your audience's motivations. Identifying the right tone and language. Understanding how, where and when your audience wants to be spoken to. Session 2: Refining your objectives  Breaking down strategic aims into tactical steps Metrics and milestones: defining and measuring progress and success. Rapidly building a brief for your communications. Session 3: Telling the story  Using metaphors, visuals, comparisons to frame your narrative. From slide decks to online campaigns - choosing the right formats for delivering your message. Selecting communications channels to maximise reach and impact. Session 4: Keeping it going  Processes and systems for launching and maintaining communications campaigns. Building social proof – creating and curating content. Troubleshooting and preparing for common challenges. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “We’ve now worked with Alan for almost 3 years, and during that time he has continued to deliver the highest quality training for our clients and delegates. Alan’s passionate delivery style has continued to deliver innovative training solutions to over 1500 delegates across the public, private and voluntary sector. Each of our courses with him has always delivered exceptional feedback and satisfaction levels.” Joe Barlow | Head of Programme, Understanding ModernGov

IS-IS training course description A hands on course on IS-IS link state routing protocol. The main focus of the course is the use of IS-IS in an IP only environment but can be tailored to concentrate on the use of IS-IS in CLNP networks. Hands on sessions use Cisco routers. What will you learn Configure and troubleshoot IS-IS. Explain how IS-IS works. Describe the use of Level 1 and Level 2. Design IS-IS networks. IS-IS training course details Who will benefit: Network administrators. Network operators. Prerequisites: TCP/IP Foundation for engineers Duration 2 days IS-IS training course contents Introduction The history of IS-IS, OSI background, terminology, addressing, how OSI networking works, ES-IS, ISIS, IS types, basic OSI configuration, other configuration parameters. Running IS-IS in an IP environment Integrated routing, Dual IS-IS, OSI only IS-IS, IP only IS-IS, packet formats and the use of CLNP, Basic configuration. How IS-IS works in detail Link state theory, tuneable parameters, IS-IS metrics, hellos, CSNP intervals, retransmissions, TLVs, Sub TLVs, Designated routers and pseudo nodes, authentication. Level 1 and level 2 in detail Router types, circuit types, Hot potato routing, route leaking, Area partitioning. Multiple addresses Redistribution and summarisation Tagging and filtering

ITIL® 4 Strategist: Direct, Plan and Improve: In-House Training The ITIL® 4 Strategist: Direct, Plan, and Improve course is based on the ITIL® 4 Strategist Direct, Plan, and Improve candidate syllabus from AXELOS. This course is based on the ITIL® 4 Strategist: Direct, Plan and Improve IT exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. This course provides the practical skills necessary to create a 'learning and improving' IT organization, with a strong and effective strategic direction. It was designed to provide practitioners with a practical and strategic method for planning and delivering continual improvement with necessary agility. It covers both practical and strategic elements, making it the universal module that is a key component to both ITIL® 4 Managing Professional and ITIL® 4 Strategic Leader streams. What You Will Learn At the end of this course, participants will be able to: Understand the key concepts of direction, planning, improvement Understand the scope of what is to be directed and/or planned and know how to use key principles and methods of direction and planning in that context Understand the role of GRC and know how to integrate the principles and methods into the service value system Understand and know how to use the key principles and methods of continual improvement for all types of improvements Understand and know how to use the key principles and methods of Communication and Organizational Change Management to direction, planning and improvement Understand and know how to use the key principles and methods of measurement and reporting in direction, planning, and improvement Understand and know how to direct, plan, and improve value streams and practices Course Introduction Let's Get to Know Each Other Course Overview ITIL® 4 Certification Scheme Course Learning Objectives Course Components Course Agenda Exercises Case Study: Axle Car Hire Case Study: HandyPerson on Demand Exam Details Core Concepts of DPI Key Terms Covered in the Module Module Learning Objectives Basics of Direction Basics of Planning Basics of Improvement Other Core Elements DPI through Service Value Chain and Guiding Principles Key Terms Covered in the Module Module Learning Objectives DPI of the SVS DPI of Guiding Principles Role of Direction in Strategy Management Key Terms Covered in the Module Introducing Strategy Management Developing Effective Strategies Implementation of Strategies Key Terms Covered in the Module Module Learning Objectives Managing Risks Making Decisions through Portfolio Management Directing via Governance, Risk, and Compliance (GRC) Introduction to Assessment and Planning Key Terms Covered in the Module Module Learning Objectives Core Concepts of Assessment Conducting Effective Assessments Core Concepts of Planning Assessment and Planning through VSM Key Terms Covered in the Module Module Learning Objectives Introducing VSM Developing Value Stream Maps Knowing More About VSM Measurement, Reporting, and Continual Improvement Key Terms Covered in the Module Module Learning Objectives Measurement and Reporting Alignment of Measurements and Metrics Success Factors and Key Performance Indicators Continual Improvement Measurements and Continual Improvement through Dimensions and SVS Key Terms Covered in the Module Module Learning Objectives Measurements for the Four Dimensions Continual Improvement of the Service Value Chain and Practices OCM Principles and Methods Key Terms Covered in the Module Module Learning Objectives Basics of OCM OCM throughout DPI and Service Value Chain Resistance and Reinforcement Communication Principles and Methods Key Terms Covered in the Module Module Learning Objectives Basics of Effective Communication Communication with Stakeholders SVS Development Using Four Dimensions Key Terms Covered in the Module Module Learning Objectives Organizations and People in the SVS Partners and Suppliers in the SVS Value Streams and Processes in the SVS Information and Technology in the SVS