67 Courses in Cardiff delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is designed for operators and schedulers who perform duties that are related to batch workload automation. Overview In this course, you learn how to perform the following tasks:Explain the production terminology used with IBM Workload Scheduler and its production planning processMonitor production batch workload processesManage production batch workloadCreate and modify scheduling objectsSchedule new workloadsForecast future workloadsMigrate workload definitions from test to production environmentsCreate and maintain reports about production workloads This course provides professional report authors an opportunity to learn report building techniques using relational data models. Demonstrations and exercises will illustrate and reinforce key concepts during this learning opportunity. IBM Workload Scheduler Introduction About Workload Automation IBM workload automation offerings IBM Workload Scheduler terminology Workload Scheduler user interfaces Getting started with Application Lab Getting started with the Dynamic Workload Console Connecting the console to Workload Scheduler Getting started with the command-line interfaces Using the Application Lab Interface Using the processes status overview page Managing processes Using other Application Lab functions Monitoring Workload Scheduler Production Monitoring Workload Scheduler production by using queries Using the Workload Dashboard Monitoring system status and health Monitoring plan objects Using the What-if Analysis interface Monitoring the plan graphically Managing Workload Scheduler Production Managing the scheduling environment Managing scheduling objects in the plan Creating Scheduling Objects Using the Workload Designer Creating scheduling objects Creating variables and variable tables Creating prompts and resources Creating calendars Defining jobs Scheduling, Forecasting, and Migrating Workloads Creating job streams Applying jobs to job streams Setting time and date restrictions Using advanced scheduling options Creating job stream definitions by using composer Creating and using event rules Forecasting and previewing future dates Exporting and importing scheduling definitions Using Workload Application Templates Reporting with Workload Scheduler Using reporting features Using Common Reporting with Workload Scheduler Using the batch reporting utility Using the preformatted text-based report utilities

About this Virtual Instructor Led Training (VILT) This 3 half-day Virtual Instructor Led Training (VILT) course highlights the impact of the introduction of renewable energy, digital technologies and new operational flexibility solutions in the electricity trading market. These advancements facilitate unique opportunities and challenges for cross border trading of electricity. Most countries in Asia, have designed their own portfolio of climate actions with an accelerated penetration of renewable energy (or by importing renewable energy into their local grids). These changes are taking place at unprecedented speed and add further complexity to the operation of electricity trading markets, while presenting new opportunities. The Asian market, can tap into its vast potential of solar, wind and geothermal energy sources. A global, unified vision is emerging to support each of countries' energy needs and decarbonization goals. This VILT course will highlight priorities of each country to achieve its energy goals. The main operational flexibilities of each type of renewable resource are discussed in detail. The course also discusses the main components of Power Purchase Agreements and advancements in digitalization and how digital technologies can influence the energy market and cross border electricity trading. Key Takeaways: New Energy Market Design Cross Border Trading PPAs Mechanisms and Examples of PPAs The Increased Penetration of Renewable Resources in the Power Systems and How It Stimulates Cross Border Trading How Digital Innovation Drives Energy Markets and Cross Border Trading Training Objectives Upon completion of this VILT course, participants will be able to: Be familiar with the global vision of One Sun, One World, One Grid Understand the major trends reshaping the energy markets Learn how innovative digital technologies change the energy markets Understand why sustainable energy markets require a tighter coordination between transmission and distribution system operators Engage with each other to design the energy market of the future Target Audience This VILT course will benefit policy makers and regulators from energy agencies, transmission companies and utilities as well as power system engineers and power system operators from control centre and ISO. Training Methods The VILT will be delivered online in 3 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 3 half-day sessions, 4 hours per session (12 hours in total). Trainer Your expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are: Modern Power System in Digital Utilities - The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020 Assessment of OETC Control Centre, Oman, December 2019 Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019 Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia) The Modern Power System: Impact of the Power Electronics on the Power System The Digital Utility, AI and Blockchain Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia) Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level. Enterprise Risk methodology, EDP, Portugal Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA) EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016 Connected+, IOT, Toronto, Canada September 2016 and 2015 Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014 Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010 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

'Selling' doesn't work. You've got to help customers buy. And that means engaging with the customer in a positive way, showing that you understand their requirement and giving them confidence that your product or service is the best possible way of meeting that requirement. This may sound painless but there's more to it than meets the eye and it's all too easy to get it wrong. You need to follow a process. This programme will help participants: Understand 'how buyers buy' and align their selling activities accordingly Recognise the difference between 'latent pain' and 'active vision' opportunities Conduct effective pre-call planning and research Stimulate interest and establish credibility with your prospects Get prospects to share / admit high priority pain Engage in consultative dialogue that promotes the differentiating strengths of your offerings Gain access to 'power' people within an opportunity Effectively qualify and disqualify opportunities based on objective decision criteria Better control and manage sell cycles Improve their chances of winning competitive opportunities Shorten sales cycles and avoid 'no decision' Negotiate the steps leading to a successful sale 1 An introduction to selling Understanding the key points that encourage a customer to purchase from us The difference between consultative selling and a transactional sale Understanding the roles that trust and empathy play in a sale Understanding how tricks and manipulation can sink a sale Vital pre-meeting research that must take place before a conversation Understanding how the customer sees us and why positioning is important 2 Structuring the sales conversation process Defining a set process for structuring a sales call with a chance to demonstrate understanding How the first minute of a conversation can destroy a sale Understanding BPO objectives for a sale How a step-by-step sales conversation process helps win more sales Understanding the mis-match between the customers buying process How our sales processes can lead to mistakes 3 How and why people buy An insight into the emotional factors behind how people arrive at purchasing decisions Using research from neuroscience that shows how sales people can really make mistakes Understanding how people make decisions about larger purchases Understanding the stakeholders in companies and their buying motives How to analyse the stakeholders and determine a win-plan 4 Understanding the funnel Studying the sales and buying process to understand the ratios of sales to prospects and better forecasting Understanding the role of forecasting in sales analysis Why many forecasts are nearly always wrong Understanding the stages of a sales process How 'verifiable outcomes' can really change forecasting 5 Questioning techniques Understanding the different questioning techniques and when they should be used Using the 'knowledge tree' as a framework for questioning Understanding the use of real empathy to help customers uncover their needs How effective research can really empower your questions How to ask 'high gain' questions How to ask difficult questions without feeling intrusive 6 Features and benefits How to practically apply them in a sales scenario How to align the benefits to customers' business goals Really understanding the difference and how to demonstrate true economic benefits to a customer How to discover business goals, and align value propositions to these How to craft an effective value proposition for a customer Using the SAR storytelling method to really engage customers to align their thinking patterns Using the latest neuroscience research that explains what customers are really thinking 7 Overcoming objections How 'confirmation bias' can hinder any sales conversation How the CLARA method of responding to customer concerns can dramatically improve the chances of customers responding to us in a positive way Practising the method to become comfortable and congruent with it 8 Closing the sale A deep dive into what closing is How different sales have different closes How too many closing methods can destroy a sale How to lead up to a close with a logical sequence of questions Using the ACSAT trust method of closing A clear methodology with a chance to practise the skills in a fun way

Join the Scrum.org accredited Live Virtual Class - Professional Scrum Product Owner I™ training (PSPO) to master the fundamentals of Product Ownership. Learn how to take your understanding of Scrum frameworks and apply it to maximise product value. Course Description The Professional Scrum Product Owner (PSPO) course goes beyond requirement writing and Product Backlog management. It equips Product Owners with a comprehensive understanding of product management needed to drive value from their products. The PSPO course is Scrum.org certified and delivered by our professional Scrum trainers. We combine real world industry experience with a hands-on practical approach, the result of which is a 98% first-time pass rate. Say goodbye to PowerPoint and join our interactive PSPO training course to gain key practical skillsets and learn how how to implement frameworks immediately to deliver tangibel results. Embrace a product-focused mindset over project-oriented thinking. Bridge business strategy to product execution with Scrum. Recognise the Product Owner's role as an Agile Product Manager. Master Scrum Principles and Empiricism. Understand Product Owner responsibilities within the Scrum Team. Align the team with business strategy, product vision, Product Goal, and Sprint Goal. Communicate business strategy, product vision, and Product Goal effectively. Learn techniques for Product Backlog Management, Release Management, and Forecasting. Identify valuable metrics for tracking value creation and successful product delivery. Employ techniques to engage stakeholders, customers, and Scrum Team members effectively. Why Train With Us? Develop and solidify your knowledge of the Scrum Framework and the accountabilities of being a product owner with our immersive two-day online PSPO course through instruction and team-based exercises. Led by experienced industry professionals and supportive Professional Scrum Trainers & Product Owners, we go beyond powerpoint to offer engaging, hands-on learning experiences. From debunking myths to empowering your Scrum Teams with the right practices, we'll be with you every step of the way - from learning to passing the test and implementing it seamlessly into your job context. Who Should Attend This Course? Ideal for students across industries dealing with complex problem-solving, the Professional Scrum Product Owner course targets three key groups: Aspiring Product Owners seeking to start their career in the field. Experienced Product Owners aiming to enhance their understanding and address misconceptions about Scrum and the Product Owner role. Scrum Masters desiring to become effective coaches for Product Owners, gaining valuable insights from the course. Your Professional Scrum Trainer Meet Jay, founder of Fractal Systems and a dedicated Professional Scrum Trainer. With over 20 years of experience in team and leadership roles, Jay is well-versed in delivering continuous value. His unique teaching approach involves zero PowerPoint and instead relies on engaging, experience-based sessions using techniques from Liberating Structures and Neuro Linguistic Programming. Jay's expertise lies in business transformations, offering training, mentoring, coaching, and consulting to foster success through collaborative efforts. Rapid learning and practical application are the hallmarks of his approach. Jay & the entire Fractal team are invested in your learning journey and are here to support you from start to end, including offering additional valuable support: Free practice assessments for certification success Free resource bundle to master Scrum Free exam revision sheets Free access to an exam simulator Free exam coaching sessions for first-time success Free 1:1 coaching to excel at work Our Clients Our Testimonials

Learn the basics of financial awareness and better understand the language used by accountants and how financial statements fit together within organisations. Course overview Duration: 2 days (13 hours)  This workshop will provide participants with a grasp of basic financial awareness, to help them to better understand the language used by accountants and how financial statements fit together. Training is done in a jargon-free way that is aimed building attendees’ confidence in using financial terms and concepts within their organisation.  Competent financial management has many aspects, it is wide reaching and requires multiple skills but if participants work to become organised and effective in planning, these skills can be easily acquired. There is a misconception that to be a good operational manager dealing with financial decisions people must be accounting or numerical geniuses. There are basic skills that attendees can easily learn that will support them in those areas.  Objectives  By the end of the course you will be able to: Identify the importance of financial management and its impact Identify the link between financial information and decision making Set, manage, monitor and review budgets Analyse financial statements Demonstrate the link between the statements, budgets and decision making. Content Financial Management Budgeting process (generic / client specific if possible) Forecasting and re forecasting process The need for accurate forecasting Accrual v cash accounting revisited Financial Objectives of the business Users of the accounts Financial Tools Depreciation and Amortisation Accruals and Prepayments Deferred and Accrued Income Costs, Opex and Capex Financial Statements The Income Statement The Balance Sheet Understanding capital employed The relationship between balance sheet and income statement The cash flow statement Profitability: gross, operating and net margins Review of client’s management information reports Building the Business Case Break even analysis Discounted Cash Flow Discount factors Net Present Value (NPV) Internal Rate of Return (IRR)

About this Training Course  This 3 full-day training course will introduce participants to the Microsoft Power BI® software solution for extracting, manipulating, visualising and analysing data. This is a very practical, hands-on course that takes participants through a series of exercises which help users understand the Power BI® environment, how to use the key areas of functionality, and how to apply the tools it contains to design and produce analyses of their own data. The first two days focus on learning the key concepts and practising these using clean, simple datasets. The third day provides participants with the opportunity to apply what they've learned to their own data. This makes the course far more relevant and meaningful for them, it allows our facilitator to help them structure their data models, queries and DAX formulas correctly, and it allows our facilitator to help them solve any additional problems that may arise but which were not covered as part of the standard the course. In addition, at the end of the day, each participant walks away with something of real, practical use for their job role. Many previous participants have remarked that they obtained the most value from the course during the third day because otherwise, they wouldn't be able to do what they need to do. This is an introductory course and although it does not assume any prior experience with Power BI®, participants will gain much more from the course if they have at least used Power BI® a little prior to attending. Participants who have taught themselves Power BI® will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know. A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential. Comprehensive course notes, exercises and completed solutions are included. Microsoft® PowerBI® is a trademark of Microsoft Corporation in the United States and/or other countries. Training Objectives Upon completion of this training course, participants will be able to: Confidently use the Power BI® solution, including Power BI® Desktop, PowerBI®.com and the Power BI® Gateway Extract data from a variety of data sources and manipulate the data extracted so it is ready for analysis Combine data sources together and gain an introductory understanding of the M language Write formulas using the DAX language for generating custom columns, measures and tables Design reports and dashboards using a wide range of both built-in and custom visuals Publish reports and dashboards to PowerBI®.com Share reports and dashboards with others using PowerBI®.com Customize reports and dashboards so that different user groups automatically see their own personalized views Target Audience This training course is intended for: Financial Analysts Accountants Budgeting and planning specialists Treasury Risk Managers Strategic Planners This is an introductory course and although it does not assume any prior experience with Power BI®, participants will gain much more from the course if they have at least used Power BI® a little prior to attending. Participants who have taught themselves Power BI® will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know. A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential. Comprehensive course notes, exercises and completed solutions are included. Course Level Basic or Foundation Trainer Your expert course leader has a Masters (Applied Finance & Investment), B.Comm (Accounting & Information Systems), CISA, FAIM, F Fin and is a Microsoft Certified Excel Expert. He has over 20 years' experience in financial modelling, forecasting, valuation, model auditing, and management reporting for clients throughout the world. He is skilled in the development and maintenance of analytical tools and financial models for middle-market companies to large corporates, at all levels of complexity, in both domestic and international settings. He has trained delegates from a wide variety of Oil & Gas companies including Chevron, Woodside, BHP Billiton, Petronas, Carigali, Shell, Nippon, Eni, Pertamina, Inpex, and many more. He provides training in financial modelling for companies throughout the Asia, Oceania, Middle East and African regions. Before his current role, he spent 6 years working in the Corporate and IT Consulting divisions of a large, multinational Chartered Accounting firm. He is the author of a number of white papers on financial modelling on subjects such as Financial Modelling Best Practices and Financial Model Auditing. Highlights from his oil and gas experience include: Development of economic models to assist Decision Analysts modelling for a wide range of scenarios for multinational oil & gas assets. Auditing and further development of life of project models for Chevron's Strategic Planning Division analysing their North West Shelf assets. Development of business plan and budgeting models for multinational oil & gas assets. Development of cash flow and taxation models for a variety of oil gas companies. Consulting on Sarbanes Oxley spreadsheet remediation and risk assessment. 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 2 Days 12 CPD hours This course is intended for Those who need to understand the financial implications of their day-to-day decisions to increase the profitability and performance of their business. This course is suitable for managers with little or no financial knowledge. Overview Understanding of financial accounts and reports The ability to use and understanding of financial concepts Analytical skills to interpret financial results using ratios Ability to manage budgets more effectively This course shows how to interpret key financial statements highlighting the questions and areas that matter. It identifies warning signals that managers need to be aware of and shows how to understand key performance indicators to drive profitability. The course will also cover the essentials of budgeting and forecasting as well as addressing key financial terms such as goodwill and accruals & prepayments. Delegates will learn how to appraise capital projects with confidence, allowing them to make the best decisions for their business. Course Outline The basics of finance: How companies are financially structured Accrual v cash accounting The Business Cycle: understand how money flows in a business How businesses are financed: debt and equity Business objectives: using financial data to achieve business targets Key Financial Statements: Income Statement Balance Sheet Cash Flow Statement Key Financial Analysis Ratios Profitability: profit margins, EBIT & EBITDA, operational gearing Return on Investment: ROCE, ROA Leverage: financial gearing & interest cover Liquidity: current & quick ratios Cash Flow: working capital requirement Working capital management Cash flow management Key financial terms ? goodwill, accruals & prepayments, depreciation and amortization Cost analysis, control and reduction Capex v Opex Effective Budgeting and Forecasting to control the business Management Accounts and undertaking variance analysis Improving margins and sales in your business Break even analysis Capital Investment techniques ? NPV, IRR and discounted cash flows Asset Valuation Additional course details: Nexus Humans Finance for Non-Finance Managers (2 Day) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Finance for Non-Finance Managers (2 Day) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Understanding how to plan for capacity, be able to forecast and manage budgets is a critical skill in today's leadership and management environment. This programme will not only support your understanding but will also help you to practically put the learning into practice.

In today's competitive business world firms are under unprecedented pressure to deliver value to their shareholders and other key stakeholders. Senior executives in all parts of the organisation are finding that they need some degree of financial know how to cope with the responsibility placed on them as business managers and key decision-makers; monitoring and improving business performance, investing in capital projects, mergers and acquisitions: all require some degree of financial knowledge. The key financial skills are not as difficult to learn as many people believe and in the hands of an experienced senior executive they can provide a formidable competitive advantage. After completing this course delegates will be able to: Understand fundamental business finance concepts; understand, analyse and interpret financial statements: Profit Statement, Balance Sheet and Cashflow Statement Understand the vital difference between profit and cashflow; identify the key components of working capital and how they can be managed to generate strong cashflow Evaluate pricing decisions based on an understanding of the nature of business costs and their impact on gross margin and break-even sales; managing pricing, discounts and costs to generate strong business profits; understand how lean manufacturing methods improve profit Use powerful analytical tools to measure and improve the performance of their own company and assess the effectiveness of their competitors Apply and interpret techniques for assessing and comparing investment opportunities in capital projects, business acquisitions and other ventures; understand and apply common methods of business valuation Understand the role of business finance in formulating and implementing competitive business strategy; the role of budgeting as part of the planning process and the various approaches to budgeting and performance measurement 1 Basic principles Delivering value to key stakeholders Accounting concepts, GAAP, IFRS and common terms Understanding and using the balance sheet Understanding and using the profit statement Recognising the vital difference between profit and cashflow Understanding and using the cashflow statement What financial statements can and cannot tell us 2 Managing and improving cashflow Sources of finance and their advantages and disadvantages What is working capital and why is it so important? Managing stocks, debtors and creditors Understanding how working capital drives business growth Understanding and avoiding the over-trading trap Unlocking the funds tied up in fixed assets: asset backed loans and leasing 3 Managing and improving profit Understanding how profits generate cashflow The fundamental nature of costs: fixed and variable business costs Understanding gross margin and break-even How common pricing methods affect gross margin and profit Effective strategies to improve gross margin Using value chain analysis to reduce costs Lean manufacturing methodsUnderstanding Just-in-time, 6 Sigma and Kaizen methods Improving profitEffective and defective strategies 4 Measuring and managing business performance Measures of financial performance and strength Investor behaviour: the risk and reward relationship Return on investment (ROI): the ultimate measure of business performance How profit margin and net asset turnover drive return on net assets Why some companies are more profitable that others Understanding competitive advantage: cost and differentiation advantage Why great companies failWhat happened to Kodak? Using a 'Pyramid of Ratios' to improve business performance Using Critical Success Factors to develop Key Performance Indicators 5 Budgeting and forecasting methods Using budgets to support strategy Objectives and methods for effective budgets Using budgets to monitor and manage business performance Alternative approaches to budgeting Developing and implementing Balanced Scorecards Beyond Budgeting Forecasting methods and techniques Identifying key business drivers Using rolling forecasts and 'what-if' models to aid decision-making

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production