1746 Mode courses in Cardiff delivered Live Online

About this Virtual Instructor Led Training (VILT) This 5 half-day VILT course will comprehensively cover the technical aspects of gas processing. The scope will be from the wellhead through the typical gas processing plant and discuss gas gathering (pipeline hydraulics), natural gas treating (H2S, CO2 removal), acid gas injection and sulfur recovery. One unique aspect of this training course is the operations and troubleshooting discussions in each module. This VILT course is suited to technical personnel or technical management. Training Objectives After the completion of this VILT course, participants will be able to: Grasp the key specifications of natural gas and liquid products Understand the physical and transport properties of gases and liquids and liquid-vapor phase behavior Explore the various technologies for processing natural gas and to make the specifications Examine the design of the technologies Learn how to diagnose operating problems to keep facilities running reliably Target Audience This VILT course is intended for all surface technical personnel such as process engineers & technologists, facility engineers and production engineers & technologists. This VILT course will greatly benefit but not limited to: Process, petroleum and production engineers Field operators and technicians Personnel involved in gas treatment and processing Managers and Supervisors involved with gas processing operations Course Level Basic or Foundation Intermediate Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). The maximum number of participants for this course is 20 persons. Case studies and Exercises: This VILT course will use actual case references throughout its duration in various forms. This will allow the application of the participants' newly-acquired knowledge. Case studies also stimulate independent thinking and discussion among the participants Trainer Your expert course leader has written several papers that have been published in both academic and industry journals. He has over 30 years of industry experience, specializing in gas processing (pipeline hydraulics, separation, dehydration, treating, sulphur recovery and refrigeration processes) and also has experience with crude oil dehydration, stabilization and micro-refining topping plants. He has experience with developing new technology and is recently involved in lithium, waste biomass and used motor oil pyrolysis and geothermal projects. He has recognized expertise in thermodynamics and physical and transport properties of fluids. He has consulted for several EPC and operating companies through his company Chem-Pet Process Tech., and currently holds the role of Director of Technology in an integrated engineering and solutions provider to the energy industry. He is currently involved with a small power-based carbon capture project as well as helping clients determine the best options for utilities decisions. He has been involved with CO2 dehydration and CO2 flood gas treating as well as acid gas injection projects for several years. Highlighted Achievements: Developed ORC geothermal model to determine the available power from wells in Alberta Acting on the Technical Advisory Board for E3 Metals, extracting lithium from formation water. Acted as a Subject Matter Expert for assessing the performance of the Plains Midstream Canada, Empress 1 Deep Cut Straddle Plant in a potential litigation. Acted as an Expert Witness for JL Transportation patent defence of a dense phase technology. Process engineer lead on the addition of the new Orloff gas plant for Deltastream. Also troubleshooted the oil battery shipping pump, plate exchanger and FWKO and treater. Evaluated gas processing and sulphur recovery options for new feeds to the Zhaikmunai Zelenovsky Gas Plant, Kazakhstan (with PM Lucas, Serbia). Completed capacity analysis for hydrocarbon dew point versus liquid recovery of three trains at Birchcliff Pouce Coupe facility including amine unit, refrigerated gas plant and acid gas injection. Completed process design for CO2 flue gas dehydration for Husky Energy Inc (with Status Engineering) Provided simulations of EnCana Foster Creek and Christina Lake and Husky McMullen SAGD facilities (with Vista Projects). Performed process engineering for Cenovus Pelican Lake SAGD pilot (with GRB Engineering) Bear Lake heavy oil polymer injection pilot (with GRB Engineering). Lead process engineer on the design of IEC Kerrobert crude oil micro-refinery (topping plant). Provided engineering support and troubleshooting for Enerchem Slave Lake Crude tower and product blending (with Status Engineering). 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 post training support and fees applicable Accreditions And Affliations

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

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

A Solution Circle is a 30 minute creative Problem Solving Process for getting unstuck…Ideal for busy people! lt was designed by Marsha Forest & Jack Pearpoint. This is a short and powerful tool. It is effective in getting “unstuck” from a problem in life or work. Solution Circles are tools of “community capacity”. It assumes and demonstrates that nearby people – in any community or work place have the capacity to help – if asked. It requires a person to ASK – not an easy thing in our culture of privacy and “do it alone”. This tool puts all the values we espouse into practice and demonstrates that TOGETHER WE’RE BETTER. Course Category Problem Solving Description A Solution Circle is a 30 minute creative Problem Solving Process for getting unstuck…Ideal for busy people! lt was designed by Marsha Forest & Jack Pearpoint. This is a short and powerful tool. It is effective in getting “unstuck” from a problem in life or work. Solution Circles are tools of “community capacity”. It assumes and demonstrates that nearby people – in any community or work place have the capacity to help – if asked. It requires a person to ASK – not an easy thing in our culture of privacy and “do it alone”. This tool puts all the values we espouse into practice and demonstrates that TOGETHER WE’RE BETTER. In this training you will learn how to set up and facilitate Solution Circles  Learning Objectives For participants to learn how to facilitate a Solution Circle For participants to understand the underlying rationale and ethos of this way of working For participants to learn the power of team work and problem solving when including challenging individuals Who Is It For? Team Around the Child agencies Parents and Professional working together Families Multi Agency Teams Social workers CAMHS teams Year Managers Primary and secondary staff teams Early Years and School based Practitioners Heads and Deputies SENDCOs Advanced Skills Teachers Primary and secondary teachers Local Authority Support Services Course Content This can be introduced in a twilight, half day or even a full day workshop with individualised coaching. We will provide background context for this approach and will directly model the process with real live issues facing participants. So bring your most challenging concerns to this training. The course answers the questions: What to when you are stuck Can we find an alternative to permanent exclusion or special unit or school placement? Struggling with a child for whom praise is ineffective? Feeling isolated in your responses to a child’s needs? Worried about where your instinctive reactions are leading you? Cannot seem to get any consensus view of a young person’s behaviour/needs amongst all the family and professionals involved – is everyone pulling in different directions? We will cover: Setting the tone Background and detailed teaching of process Inclusion values underpinning this work Graphic and process facilitation skills Processes modelled and opportunities to try process out with coaching Practical setting up of insights and solutions circles Lessons learned

In this course we explore how we have attempted to build inclusive circles of support around individuals and contrast this with a radical approach to problem solving with parents – the Parent Solutions Circle. Parent Solutions is a brand new approach to problem solving with parents based on our live group work in schools. A focus on challenging behaviour brings interest, energy and commitment.  Course Category Inclusion Peer Support Parents and Carers Behaviour and relationships Description In this course we explore how we have attempted to build inclusive circles of support around individuals and contrast this with a radical approach to problem solving with parents – the Parent Solutions Circle Parent Solutions is a brand new approach to problem solving with parents based on our live group work in schools. A focus on challenging behaviour brings interest, energy and commitment. Essentially the approach involves gathering a group of parents and carers together who recognise how challenging their own children are and would like some help to figure out how to be with them or how to manage an aspect of their behaviour. The process is facilitated but majors on the parents offering each other their wisdom and ideas. The directness that only peers can provide to each other makes the work both powerful and effective. Mobilising the wisdom and experiences of parents in a safe way is a delicate art. In this training we will explore how this can best be done. Parents who have been on all the courses and had all the professional advice in world love this way of working because they get to offer each other their experience, ideas and wisdom. The approach is capacity focused, person centred approach to working with parents rather than the dominant deficit oriented and ‘medical model’ of viewing and planning for parents. We work with rather than do things to a group of parents. This training can be modelled with a group of parents or can be demonstrated with a group of professionals. We prefer mixed groups. Learning Objectives For participants to learn how to set up a Parent Solutions Circle For participants to understand the underlying rationale and ethos of this way of working To learn the facilitation process and stages of the Circle process Who Is It For? Anyone interested in working with parents and carers in a way that builds and makes use of their capacities rather than focus on their challenges and difficulties. School leaders and managers Social Care teams Community organisers Psychologists Course Content True parent empowerment Facilitating groups Problem solving process Handling group communication Allowing direct feedback and challenge between participants in a safe way Building relationships Creating natural circles of support that can provide peer support and mutual problem solving If you liked this course you may well like: Creating Community Circles

Local authorities are being encouraged to seek the views of young people in relation to the services they receive. Schools and the whole range of support services (e.g. behaviour support, youth offending teams, social services, CAMHS etc.) are being expected to routinely ask young people for their views. This goes beyond involving young people in plans that concern them e.g care plans, individual education plans, pastoral support plans etc. Online Course now available via Teachable Platform – Ask the Children Learn at your own pace… lots of text and video support Course Category Peer Support Description Local authorities are being encouraged to seek the views of young people in relation to the services they receive. Schools and the whole range of support services (e.g. behaviour support, youth offending teams, social services, CAMHS etc.) are being expected to routinely ask young people for their views. This goes beyond involving young people in plans that concern them e.g care plans, individual education plans, pastoral support plans etc. This training will focus on how young people can be effectively engaged in giving their views and will present a model for use in evaluating services to young people based on the concept of resilience. This model enables young people to be clear about what has helped and hindered them in being able to overcome difficulties. It also provides a framework for evaluating the extent to which services are reducing risk and increasing protective factors to enable young people to develop the resilience. Testimonials ‘Yet again inspiring and opening more doors than I can go through’? ‘This opened a lot of avenues for thought and reflection. It will help me to help colleagues to see where they can improve practice to create a more inclusive environment within the whole school.’ ‘Some great ideas and restored my self belief! Fantastic’ Learning Objectives Strategies for engaging young people Knowledge and Understanding of resilience In relation to system and environmental factors Strategies for reducing risk and increasing protective factors In relation to Individual young people and services Evaluation framework for services to young people Who Is It For ? Youth offending teams Social services CAMHS Primary and secondary teachers Heads and Deputies SENCOs Learning Support and Guidance staff Advanced Skills Teachers Parents Local Authority Support Services Community Development workers Early Years and School based Practitioners Social work staff Health Services Course Content The course answers the questions : How can we truly involve pupils? Practically how do we go about listening to pupils views? What if we do not like what they tell us? How can we involve our most disaffected young people? Key themes Tools for engaging young people and gaining their views The concept of resilience System and environmental risk and protective factors that impact on young people’s resilience Reducing risk and Increasing protective factors Resilience planning for Individuals and services Evaluating services to young people If you liked this course you may well like: CIRCLES OF FRIENDS

SAFe® Agile Software Engineering: In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality

ITIL® 4 Leader: Digital and IT Strategy: In-House Training The ITIL® 4 Leader: Digital and IT Strategy (DITS) is one of the two modules in the ITIL® 4 Strategic Leader (SL) certification scheme. The other module in the SL designation is the ITIL® 4 Strategist: Direct, Plan & Improve. Accredited training for the ITIL® 4 Strategic Leader modules is mandatory to enable full understanding of the core material. The ITIL ® 4 Digital and IT Strategy certification focuses on enabling business success through the creation of digital and IT strategies. The IT and Digital Strategy certification adds a new perspective to the ITIL suite and elevates the discussion around ITIL concepts to a strategic level among business leaders and aspiring leaders. The ITIL® 4 Digital and IT Strategy course is based on the ITIL® 4 Digital and IT Strategy exam specification from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, you will acquire relevant knowledge to pass the certification exam. The core learning material in the course is supported by interactive case study, discussions and activities. What You Will Learn The ITIL ® 4 Digital and IT Strategy course covers the content in relation to the following learning outcomes of the exam specification for ITIL ® 4 Digital and IT Strategy: Demonstrate the use of the ITIL guiding principles in Digital and IT Strategy decisions and activities Understand how to leverage digital strategy to react to digital disruption Understand the relationship between the concepts of Digital and IT Strategy, the service value system and the service value chain, and explain how to utilize them to create value Understand how an organization uses Digital and IT Strategy to remain viable in environments disrupted by digital technology Understand strategic approaches made possible by digital and information technology to achieve customer/market relevance and operational excellence Understand the risks and opportunities of Digital and IT Strategy Understand the steps and techniques involved in defining and advocating for a Digital and IT Strategy Understand how to implement a Digital and IT Strategy Key Concepts of Digital and IT Strategy Digital, Information, and Communication Technology Digital Transformation Services, Products, and Competitive Advantage Tiers of Strategy Business Models Operating Models Strategy and the Service Value System Opportunity and Demand Value Governance ITIL® Guiding Principles Continual Improvement ITIL® Practices What is Vision? Disruptions Vision Digital Disruptions Balanced Strategic Focus Positioning Tools for Digital Organizations Assignment 1: Digital Disruption and Digital Positioning Where Are We Now? Environmental Analysis Opportunity Analysis Digital Readiness Assessment How Do We Get There (Strategic Planning) Strategy Planning Financial Aspects of Digital and IT Strategy Business Models for Strategy Planning Portfolio Optimization How Do We Get There (Strategic Approaches) Strategic Approaches for Digital Organizations Strategic Approaches for Operational Excellence Strategic Approaches to Evolution Strategic Approaches to Social Responsibility and Sustainability Assignment 2: Strategic Approaches for Digital Organizations Take Action (Managing Strategic Initiatives) How Strategies are Implemented Coordinating Strategy and Strategic Initiatives Leading Digital Transformation Digital Leadership Assignment 3: Strategy Planning and Communication Did We Get There? (Measuring Strategy) Key Facts About Measurement Measuring a Strategy Instrumenting Strategy How Do We Keep the Momentum Going Long-Term Momentum: Ensuring Organizational Viability Short-Term Momentum: Parallel Operation Assignment: Digital Strategy in VUCA Environment Managing Innovation and Emerging Technologies Managing Innovation Formal Approach to Innovation Management Culture that Supports Innovation Approaches to Innovation Evaluating and Adopting Emerging Technology Managing Strategic Risk Risk Management Risk Identification Risk Posture Risk Treatment

Professional Management is crucial to your company's success. In fact, managers can have the single largest impact on your organisation's productivity and overall profitability, with more influence over employee morale and performance than anyone else.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at people in senior roles including CIOs, chief digital officers and other aspiring CxOs, as well as consultants and others involved in digital transformations, service delivery and strategic delivery. Overview By the end of this course, you will understand: The internal and external factors to consider while crafting digital strategy How IT strategy differs from digital strategy and how they can be integrated Creating a digital strategy that achieves the most value from digital Implementing and sustaining digital strategy Developing and nurturing digital capabilities for continual business innovation and value co-creation This course takes you on a digital strategy journey. Its iterative, eight-step model moves from ?vision? through to ?actions? and is about creating sustainable, digital momentum. You experience the four key capabilities to develop a holistic, digital capability framework: digital leadership, managing innovation and emerging technologies, risk management and structuring a digital enterprise. This class includes an exam voucher. Prerequisites Delegates attending this course must have successfully achieved the ITIL 4 Foundation Qualification; your certificate must be presented as documentary evidence to gain admission to this course. Although there is no mandatory requirement, ideally candidates should have at least two years professional experience working in IT Service Management. 1 - ITIL GUIDING PRINCIPLES TO ALL ASPECTS OF DIGITAL AND IT STRATEGY Focus on Value Start Where You Are Progress Iteratively with Feedback Collaborate and Promote Visibility Think and Work Holistically Keep It Simple and Practical Optimise and Automate 2 - LEVERAGE DIGITAL STRATEGY TO REACT TO DIGITAL DISRUPTION Digital Technology Digital Business Digital Organisation Digitisation Digital Transformation Business Strategy and Business Models Digital and IT Strategy Products Services Relationship Between Digital, IT Strategy and Components of ITIL SVS. 3 - RELATIONSHIP BETWEEN CONCEPTS OF DIGITAL AND IT STRATEGY, SERVICE VALUE SYSTEM AND SERVICE VALUE CHAIN Environmental Analysis External Analysis: PESTLE Internal Analysis: Four Dimensions of Service Management 4 - HOW AN ORGANISATION USES DIGITAL AND IT STRATEGY TO REMAIN VIABLE IN ENVIRONMENTS How an Organisation?s Viability is Related to Agile, Resilient, Lean, Continuous and Co-Creational it is How to Analyse the VUCA Factors and Address them in a Digital and IT Strategy Organisation?s Position in a Particular Market or Industry Digital Positioning Tool to Determine Appropriate Position for a Digital Organization 5 - EXPLAIN AND COMPARE THREE LEVELS OF DIGITAL DISRUPTION Ecosystem Industry/Market Organisational Influenced factors Achieving Customer/Market Relevance Achieving Operational Excellence Internal and External Focus Balanced Approach 6 - STRATEGIC APPROACHES BY DIGITAL AND IT TO ACHIEVE CUSTOMER/MARKET RELEVANCE AND OPERATIONAL EXCELLENCE How to Apply Approaches to Achieve Customer/Market Relevance Customer Journeys Omnichannel Delivery and Support Context-Sensitive Delivery and Support Customer Analytics Customer Feedback and 360ø Approaches How to Achieve Operational Excellence in the Four Dimensions of Service Management Understand the Financial Aspects of Digital and IT Strategy in Terms of the Following Financial Policies Portfolio Optimization Funding Projects, Products and Services Balancing Cost of Innovation and Operation Charging Models Assess Strategic Approaches for Digital Organizations 7 - RISKS AND OPPORTUNITIES OF DIGITAL AND IT STRATEGY Concept of Risk Management in the Context of a Digital Organisation Context of Digital and IT Strategy Identify Risk Assess Risk Concept of Risk Posture and Show How to Determine an Acceptable Balance Between Opportunity and Risk Explain the Concept of Innovation, Including its Key Elements and Techniques Apply Techniques to Develop and Maintain a Culture of Innovation 8 - STEPS AND TECHNIQUES INVOLVED IN DEFINING AND ADVOCATING FOR DIGITAL AND IT STRATEGY How to Use Digital Readiness Assessment to Perform Gap Analysis Between an Organisation?s Current and Desired Positions Approaches for Scraping Data from Dynamic Websites How to Define and Communicate a Vision and a Strategy How to Use Business Cases to Advocate for a Digital and IT Strategy 9 - IMPLEMENTATION OF A DIGITAL AND IT STRATEGY How to Define Operating Models for Digital Organisations Major Skills Required of Leaders in Digital Organisation Apply Approaches to Strategy Coordination and Implementation: Large-Scale Transformation Incremental Transformation Mergers and Acquisitions Individual Changes Approaches to POMs (Parallel Operating Models) How to Assess Success of a Digital and IT Strategy Typical Activities of a Digital Transformation Programme