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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 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

ICA Advanced Certificate in Managing Fraud This intermediate-level course is aimed at those already working within fraud risk management who wish to enhance their knowledge and skills as well as those who are new to the discipline. It provides a comprehensive understanding of fraud threats, how to formulate an effective strategy to prevent these threats and how to manage the response when they occur. You will learn how to implement key fraud management strategies at your firm to manage the risk to your business. The course also explores international fraud management best practice and anti-fraud frameworks. There are many benefits of studying with ICA: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate Students who successfully complete this course will be awarded the ICA Advanced Certificate in Managing Fraud and will be able to use the designation- Adv.Cert(Fraud) This qualification is awarded in association with Alliance Manchester Business School, the University of Manchester. What will you learn? International context Global anti-fraud frameworks Understanding risks The 'Fraudster' Formulating an effective counter-fraud strategy Managing the response to fraud The future of fraud How will you be assessed? Assessed by a one-hour, question-based exam and one research-based assignment

About this Virtual Instructor Led Training (VILT)  Electrical machines, mainly power transformers and electric motors are critical equipment that run production, and it must operate without any abnormalities. A wide variety of tests and standards have been developed to assist manufacturers and users of motors and transformer winding, assess the condition of the electrical insulation. The objective of this training course is to provide an understanding of power transformers and electric motors, their materials, components, and how they operate. It will also emphasize the importance of transformer life management, especially for those transformers and electric motors which have been in operation for than 10 years. The course will address in detail all aspects related to transformer principles, calculations, operation, testing and maintenance. Training Objectives This course aims to provide participants with the understanding of the fundamentals and constructional features of power transformers and electric motors, with particular reference to the design, testing, operation and maintenance of transformers in power systems. Delegates will gain a detailed appreciation of the following: Practical solutions for specifying, operating and maintaining power transformers and electric motors in a utility or plant environment Comprehensive understanding of principles, protection, maintenance and troubleshooting of power transformers and electric motors The necessary safe procedures relating to transformer operation and related circuitry Understand the principles of operation of the transformer and electric motors Identify the different features of power transformers and electric motors Appreciate the principles of transformer design, ratings, winding, core structure and materials, insulation and cooling methods, insulation and lifetime Utilize thermal limits and loading guides of transformers Analyze transformer and electric motors failure modes Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 half-day sessions comprising 4 hours per day, with 1 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10 mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. Trainer Our key expert is actively involved in electrical inspections, energy audits, energy efficiency and technical consultation for M&E activities for industrial and commercial sectors. He is involved in testing and commissioning works of factory substations of up to 132kV system. He previously worked for Jimah coal-fired power plant in Port Dickson for 9 years with his last position being Electrical Maintenance Section Head. He was involved in the commissioning of coal-fired power plant mainly with 500kV generator transformer, 934 MVA generator, and up to 33kV MV motors and switchgear panels. Our key expert has managed the maintenance team to perform routine maintenance activities (together with supporting tools such as motor lube oil analysis, infrared thermography analysis, transformer oil analysis) & electrical troubleshooting and plant outages for critical and non-critical equipment. Besides that, our key expert has published several IEEE conference papers and journals such as: (2009). Effectiveness of auxiliary system monitoring & continuous hydrogen scavenging operation on hydrogen-cooled generator at power plant. In Energy and Environment, 2009. ICEE 2009. 3rd International Conference on (pp. 151-160). IEEE. (2010). Study on electric motor mass unbalance based on vibration monitoring analysis technique. In Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on (pp. 539-542). IEEE. (2012). Re-Design of AC Excitation Busduct based on Infrared (IR) Thermography: Condition-Based Monitoring (CBM) data analysis. eMaintenance, 101. (2016). Energy Saving Studies for a University Campus: An Educational-Based Approach, 3rd International Conference on Language, Education, Humanities and Innovation 2016. 'Grid-tied photovoltaic and battery storage systems with Malaysian electrcity tariff - A review on maximum demand shaving.' Energies 10.11 (2017): 1884 'Techno-Economic Optimization of Grid-Connected Photovoltaic (PV) and Battery Systems Based on Maximum Demand Reduction (MDRed) Modelling in Malaysia.' Energies 12.18 (2019): 3531 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

ICA Advanced Certificate in Business Compliance The ICA Advanced Certificate in Business Compliance has been specifically designed for those working outside financial services. The need for guidance and training in meeting regulatory requirements extends to many industry sectors including oil and gas, aerospace, pharmaceuticals, telecoms, and manufacturing. This course will enable practitioners working in areas such as these to gain knowledge of the essentials of compliance in a practical business context as well as understand the roles of both the compliance function and compliance professionals. The Advanced Certificate will develop the compliance/risk management knowledge and skills of individuals and thereby help to enhance the overall reputation and performance of their firms. Benefits of studying with ICA: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate Upon successful completion of this course, students will be awarded the ICA Advanced Certificate in Business Compliance and will be able to use the designation - Adv.Cert(Bus.Comp). This qualification is awarded in association with Alliance Manchester Business School, the University of Manchester. What will you learn? The context of compliance and its origins Building an effective control framework The skills needed to be an effective compliance professional Risk management, alert systems and investigations Managing financial crime risk Creating competitive advantage How will you be assessed? Assessed by a one-hour, question-based exam and one research-based assignment

Bunnyfoot were the pioneers and are now one of the leading providers of the Certified Professional for Usability and User Experience – Foundation Level (CPUX-F) in the United Kingdom. Created in association with the international UXQB, this professional 3-day UX certification programme covers user experience methods and theories – and is independently assessed/certified.

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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