304 C++ courses in Manchester delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 1 Days 6 CPD hours This course is intended for This course is intended for persons in a variety of job roles such as publishing specialists, layout specialists, graphic designers, or any other knowledge workers who need to use Microsoft Office Publisher to create, lay out, edit, and share publications. Overview In this course, you will create, format, edit, and share publications. You will: Perform basic tasks in the Microsoft Publisher interface. Add content to a publication. Format text and paragraphs in a publication. Manage text in a publication. Work with graphics in a publication. Prepare a publication for printing and sharing. Microsoft© Publisher for Office 365? is a desktop publishing softwareapplication capable of producing greeting cards, certificates, newsletters, and otherprinted publications. Publisher includes a large collection of templates that provideagreat way to start a new publication. Publisher offers a large selection of 'buildingblocks' that can be dragged into your documents, helping you to create page elementssuch as calendars, newsletter sidebars, and borders. Publisher integrates online sharingand mail merge features, which are handy when you need to send publications to a listofcustomers, and it's possible to export publications as HTML web pages or PDF documents.With a user-friendly interface, Publisher makes it easy to create and editpublications. This course presents information and skills that are appropriate for users of theOffice2019/2021 or Office 365 desktop applications. However, the instructional environmentforthe delivery of this course utilizes Office 365. Getting Started with Microsoft Publisher Topic A: Navigate the Interface Topic B: Customize the Publisher Interface Topic C: Create a Publication Adding Content to a Publication Topic A: Add Text to a Publication Topic B: Add Pages and Picture Placeholders to a Publication Topic C: Control the Display of Content in Text Boxes Topic D: Apply Building Blocks to a Publication Formatting Text and Paragraphs in a Publication Topic A: Format Text Topic B: Format Paragraphs Topic C: Apply Schemes Managing Text in a Publication Topic A: Edit Text in a Publication Topic B: Work with Tables Topic C: Insert Symbols and Special Characters Working with Graphics in a Publication Topic A: Insert Graphics in a Publication Topic B: Customize the Appearance of Pictures Preparing a Publication for Sharing and Printing Topic A: Check the Design of a Publication Topic B: Save a Publication in Different Formats Topic C: Print a Publication Topic D: Share a Publication

Duration 2 Days 12 CPD hours This course is intended for Server administrators Network engineers Systems engineers Consulting systems engineers Technical solutions architects Network administrators Storage administrators Network managers Sales engineers Cisco integrators and partners Overview After taking this course, you should be able to: Describe Cisco UCS server hardware Describe Cisco UCS connectivity Describe the Cisco HyperFlex Data Platform, its data writing and reading processes, and data optimization Describe and configure Cisco UCS service profiles Describe and configure Cisco UCS service profile templates Describe and implement iSCSI on Cisco UCS Describe and implement Cisco UCS firmware updates Describe and implement Cisco UCS backups This introductory course shows you how to deploy, secure, operate and maintain the Cisco Unified Computing system (Cisco UCS) B-Series blade server, Cisco UCS C-Series and S-Series rack servers, and Cisco HyperFlex product family, for use in data centers. Describing Cisco UCS Server Hardware Cisco UCS B-Series Blade Servers Cisco UCS C-Series Rack Servers Cisco UCS S-Series Rack Servers Cisco Virtual Interface Cards Hyperconvergence Overview Cisco HyperFlex HX-Series Servers Describing Cisco UCS Connectivity Cisco UCS Fabric Interconnect Cisco UCS B-Series Connectivity Cisco UCS C-Series Connectivity Cisco UCS S-Series Connectivity Cisco HyperFlex Connectivity Architecture Cisco HyperFlex Edge Connectivity Ethernet End-Host Mode Compared to Switching Mode Cisco UCS Fabric Interconnect Uplink Pinning Cisco UCS C-Series Integration Describing the Cisco HyperFlex HX Data Platform Cisco HyperFlex HX Data Platform Software Writing Data to Cisco HyperFlex HX Data Platform Reading Data from Cisco HyperFlex HX Data Platform Data Optimization in Cisco HyperFlex HX Data Platform Configuring Cisco UCS Service Profiles Portability Issue with Nonabstracted Identities Cisco UCS Service Profile Identity Pools Server Pools IP Pools Configuring Cisco UCS Service Profile Templates Service Profile Templates Implementing iSCSI on Cisco UCS iSCSI Addressing Evolution of SCSI from DAS to SAN iSCSI Multipathing Implementing Cisco UCS Firmware Updates Update Cisco UCS C-Series Server Firmware Download Tasks for the Infrastructure Image Download Tasks for Cisco UCS B-Series Firmware Packages Best Practices for Updating Firmware in Cisco UCS Manager Firmware Upgrades Using Auto Install Capability Catalog Updates Host Firmware Packages Driver Updates for Operating Systems and Hypervisors Implementing Cisco UCS Backups Compare Backup Options in Cisco UCS Manager Compare Two Import Types Policy Backup

Regular expressions training course description Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Python and MySQL. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them. What will you learn Use Regular Expressions. Troubleshoot Regular Expressions. Compare RE features among different versions. Explain how the regular expression engine works. Optimize REs. Match what you want, not what you don't want. Regular expressions training course details Who will benefit: Anyone looking to use regular expressions. Prerequisites: None. Duration 1 day Regular expressions training course contents Introduction to Regular Expressions Solving real problems, REs as a language, the filename analogy, language analogy, RE frame of mind, searching text files: egrep, egrep metacharacters, start and end of the line, character classes, matching any character with dot, alternation, ignoring differences in capitalization, word boundaries, optional items, other quantifiers: repetition, parentheses and backreferences, the great escape, expanding the foundation, linguistic diversification, the goal of a RE, more examples, RE nomenclature, Improving on the status quo. Extended introductory examples A short introduction to Perl, matching text with regular expressions, toward a more real-world example, side effects of a successful match, Intertwined regular expression, intermission, modifying text with regular expressions, example: form letter, example: prettifying a stock price, automated editing, a small mail utility, adding commas to a number with lookaround, text-to-HTML conversion, that doubled-word thing. Regular expression features and flavours The regex landscape, origins of REs, care and handling of REs, Integrated handling, procedural and object-oriented handling, search-and-replace example. strings character encodings and modes, strings as REs, character-encoding issues, unicode, regex modes and match modes, common metacharacters and features, character representations, character classes and class-like constructs, anchors and other 'zero-width assertions', comments and mode modifiers, grouping capturing conditionals and control. The mechanics of expression processing Two kinds of engines, new standards, regex engine types, from the department of redundancy department, testing the engine type, match basics, about the examples, rule 1: the match that begins earliest wins, engine pieces and parts, rule 2: the standard quantifiers are greedy, regex-directed versus text-directed, NFA engine: regex-directed, DFA engine: text-directed, first thoughts: NFA and DFA in comparison, backtracking, two important points on backtracking, saved states, backtracking and greediness, more about greediness and backtracking, problems of greediness, multi-character 'quotes', lazy quantifiers, greediness and laziness, laziness and backtracking, possessive quantifiers and atomic grouping, possessive quantifiers ?, +, *+, ++ and {m,n}+, the backtracking of lookaround, is alternation greedy? taking advantage of ordered alternation, NFA DFA and posix, the longest-leftmost', posix and the longest-leftmost rule, speed and efficiency. Practical regex techniques Continuation lines, matching an IP address, working with filenames, matching balanced sets of parentheses, watching out for unwanted matches, matching delimited text, knowing your data and making assumptions, stripping leading and trailing whitespace, matching and HTML tag, matching an HTML link, examining an HTTP URL, validating a hostname, plucking a hostname, plucking a URL, parsing CSV files. Crafting an efficient expression Efficiency vs. correctness, localizing greediness, global view of backtracking, more work for POSIX NFA, work required during a non-match, being more specific, alternation can be expensive, benchmarking, know what you re measuring, benchmarking with Python, common optimisations, the mechanics of regex application, pre-application optimizations, optimizations with the transmission, optimization of the regex itself, techniques for faster expressions, common sense techniques, expose literal text, expose anchors, lazy versus greedy: be specific, split into multiple REs, mimic initial-character discrimination, use atomic grouping and possessive quantifiers, lead the engine to a match, unrolling the loop, observations, using atomic grouping and possessive quantifiers, short unrolling examples, unrolling C comments, the free flowing regex, a helping hand to guide the match, a well-guided regex is a fast regex.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for students who want to learn basic Word 2021 skills, such as creating, editing, and formatting documents; inserting simple tables and creating lists; and employing a variety of techniques for improving the appearance and accuracy of document content. Overview In this course, you will learn fundamental Word skills. You will: Navigate and perform common tasks in Word, such as opening, viewing, editing, saving, and printing documents, and configuring the application. Format text and paragraphs. Perform repetitive operations efficiently using tools such as Find and Replace, Format Painter, and Styles. Enhance lists by sorting, renumbering, and customizing list styles. Create and format tables. Insert graphic objects into a document, including symbols, special characters, illustrations, pictures, and clip art. Format the overall appearance of a page through page borders and colors, watermarks, headers and footers, and page layout. Use Word features to help identify and correct problems with spelling, grammar, readability, and accessibility. These days, most people take electronic word processing for granted. While we may still write out our grocery lists with pen and paper, we expect to use a computer to create the majority of our documents. It's impossible to avoid word-processing software in many areas of the business world. Managers, lawyers, clerks, reporters, and editors rely on this software to do their jobs. Whether you are an executive secretary or a website designer, you'll need to know the ins and outs of electronic word processing. Microsoft© Word 2021 is designed to help you move smoothly through the task of creating professional-looking documents. Its rich features and powerful tools can make your work easy, and even fun. In this course, you'll learn how to use Word 2021 to create and edit simple documents; format documents; add tables and lists; add design elements and layout options; and proof documents. This course covers Microsoft Office Specialist Program exam objectives to help you prepare for the Word Associate (Office 365 and Office 2021): Exam MO-100 and Word Expert (Office 365 and Office 2021): Exam MO-101 certifications. Getting Started with Word 2021 Topic A: Navigate in Microsoft Word Topic B: Create and Save Word Documents Topic C: Manage Your Workspace Topic D: Edit Documents Topic E: Preview and Print Documents Topic F: Customize the Word Environment Formatting Text and Paragraphs Topic A: Apply Character Formatting Topic B: Control Paragraph Layout Topic C: Align Text Using Tabs Topic D: Display Text in Bulleted or Numbered Lists Topic E: Apply Borders and Shading Working More Efficiently Topic A: Make Repetitive Edits Topic B: Apply Repetitive Formatting Topic C: Use Styles to Streamline Repetitive Formatting Tasks Managing Lists Topic A: Sort a List Topic B: Format a List Adding Tables Topic A: Insert a Table Topic B: Modify a Table Topic C: Format a Table Topic D: Convert Text to a Table Inserting Graphic Objects Topic A: Insert Symbols and Special Characters Topic B: Add Images to a Document Controlling Page Appearance Topic A: Apply a Page Border and Color Topic B: Add Headers and Footers Topic C: Control Page Layout Topic D: Add a Watermark Preparing to Publish a Document Topic A: Check Spelling, Grammar, and Readability Topic B: Use Research Tools Topic C: Check Accessibility Topic D: Save a Document to Other Formats

Duration 1 Days 6 CPD hours This course is intended for This course is intended for students who have a foundational working knowledge of PowerPoint, who wish to take advantage of the application's higher-level usability, security, collaboration, and distribution functionality. Overview In this course, you will use the advanced tools and features in PowerPoint to create and deliver engaging presentations.You will: Customize design templates. Add tables. Add charts. Work with media. Build advanced transitions and animations. Collaborate on a presentation. Customize the delivery of a presentation. Modify presentation navigation. Secure and distribute a presentation. Meetings, instruction, training, pitches; these are all a part of our daily lives. We are often called upon to deliver presentations with little notice, at multiple venues, and with varying requirements. And, some of these presentations include sensitive information that needs to be guarded. Given all the variables, it may seem an overwhelming task to deliver your content, on time, to all audiences, and to only those who need to see it. Oh, and by the way, you need to make it interesting, informative, and memorable. So, how do you do it? Without the help of a robust set of tools, it would be nearly impossible. But Microsoft© PowerPoint© provides you with a variety of such tools that can help you deliver content in nearly any situation, while saving time and effort. By taking advantage of these tools, you will be creating presentations that not only stand out from the crowd, but also don't consume all of your available time. Note: Most Office users perform the majority of their daily tasks using the desktop version of the Office software, so that is the focus of this training. The course material will also enable you to access and effectively utilize many web-based resources provided with your Microsoft 365? subscription. Helpful notes throughout the material alert you to cases where the online version of the application may function differently from the primary, desktop version. This course may be a useful component in your preparation for the PowerPoint Associate (Microsoft 365 Apps and Office 2019): Exam MO-300 certification exam. Lesson 1: Customizing Design Templates Topic A: Modify Slide Masters and Slide Layouts Topic B: Modify the Notes Master and the Handout Master Topic C: Add Headers and Footers Lesson 2: Adding Tables Topic A: Create a Table Topic B: Format a Table Topic C: Insert a Table from Other Office Applications Lesson 3: Adding Charts Topic A: Create a Chart Topic B: Format a Chart Topic C: Insert a Chart from Microsoft Excel Lesson 4: Working with Media Topic A: Add Audio to a Presentation Topic B: Add Video to a Presentation Topic C: Add a Screen Recording Lesson 5: Building Advanced Transitions and Animations Topic A: Use the Morph Transition Topic B: Customize Animations Lesson 6: Collaborating on a Presentation Topic A: Review a Presentation Topic B: Co-author a Presentation Lesson 7: Customizing Presentation Delivery Topic A: Enhance a Live Presentation Topic B: Record a Presentation Topic C: Set Up a Slide Show Lesson 8: Modifying Presentation Navigation Topic A: Divide a Presentation into Sections Topic B: Add Links Topic C: Create a Custom Slide Show Lesson 9: Securing and Distributing a Presentation Topic A: Secure a Presentation Topic B: Create a Video or a CD

About this Training Course More energy companies today are setting ambitious net-zero targets and are expected to pour billions into the voluntary carbon offset market by the end of this decade. To get to net zero emissions, companies will need to balance emissions with nature and technology-based offsets. Markets are the best tool for connecting carbon sources and sinks. Many countries will not have enough supply inside their borders and will need to co-operate with those who have extra greenhouse gas removal potential. The energy industry is in search of effective climate tools as pressure mounts from investors and consumers for more progress on fighting rising emissions. Corporations fighting to cut their carbon footprint have for years focused on internal reduction measures. Many are now adding to that effort by turning to carbon credits, a process made easier as verification and registration tools mature. One particular category of carbon offsets leads the way: high-quality, nature-based carbon credits. These represent the largest category of carbon credit projects in the voluntary carbon market, comprising nearly half of credits issued. Public concern about this practice focused on the additionality, leakage, and integrity of carbon offsets that are created through reforestation, land preservation, carbon capture and other projects. Lack of standardization and government regulation has also increased uncertainty for all participants in carbon markets, creating risks for developers of credit-generating projects and offset purchasers. Demand for higher-quality offsets will value projects that were subjected to due diligence and rely upon reputable third-party verification. Companies purchasing offsets generated by permanent and quantifiable projects will therefore be in the best position moving forward. In this highly interactive training course, your course instructor will guide you through the latest developments and best procurement practices to successfully operate in the voluntary carbon market. Training Objectives At the end of this course, the participants will be able to: Discover the current state of the carbon economy Gain insights into the voluntary carbon market Learn about the different type carbon credits available Examine how companies can reach net zero target by using carbon offsets Uncover best practices in carbon credit procurement strategy Learn the pricing dynamics carbon credits Examine how to identify and ensure high quality credits Obtain key learning from flawed carbon offset projects Target Audience This course is intended for: Energy transition team leaders Carbon credit procurement professionals ESG strategy team leaders Finance and accounting professionals Low carbon business analysts or economists Corporate business sustainability professionals Legal, compliance and regulatory professionals Carbon trading professionals Course Level Intermediate Trainer Your expert course leader is a skilled and accomplished professional with over 25 years of extensive C-level experience in the energy markets worldwide. He has a strong expertise in all the aspects of (energy) commodity markets, international sales, marketing of services, derivatives trading, staff training and risk management within dynamic and high-pressure environments. He received a Master's degree in Law from the University of Utrecht in 1987. He started his career at the NLKKAS, the Clearing House of the Commodity Futures Exchange in Amsterdam. After working for the NLKKAS for five years, he was appointed as Member of the Management Board of the Agricultural Futures Exchange (ATA) in Amsterdam at the age of 31. While working for the Clearing House and exchange, he became an expert in all the aspects of trading and risk management of commodities. In 1997, he founded his own specialist-consulting firm that provides strategic advice about (energy) commodity markets, trading and risk management. He has advised government agencies such as the European Commission, investment banks, major utilities and commodity trading companies and various energy exchanges and market places in Europe, CEE countries, North America and Asia. Some of the issues he has advised on are the development and implementation of a Risk Management Framework, investment strategies, trading and hedging strategies, initiation of Power Exchanges (APX) and other trading platforms, the set-up of (OTC) Clearing facilities, and feasibility and market studies like for the Oil, LNG and the Carbon Market. The latest additions are (Corporate) PPAs and Artificial Intelligence for energy firms. He has given numerous seminars, workshops and (in-house) training sessions about both the physical and financial trading and risk management of commodity and carbon products. The courses have been given to companies all over the world, in countries like Japan, Singapore, Thailand, United Kingdom, Germany, Poland, Slovenia, Czech Republic, Malaysia, China, India, Belgium and the Netherlands. He has published several articles in specialist magazines such as Commodities Now and Energy Risk and he is the co-author of a book called A Guide to Emissions Trading: Risk Management and Business Implications published by Risk Books in 2004. 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

About this Virtual Instructor Led Training (VILT)  Conducted in an interactive manner, Exploration Project Management will include presentations by the course leader, syndicate and plenary exercises, and (optional) assessment of selected participants' projects. Industry case studies will be integrated into all the presentations. The course material will include a course manual (handout) and a course workbook (for exercises). Participants are requested to bring a mini-poster (two PowerPoint slides) as background material for discussion during the course. Training Objectives By the end of this Virtual Instructor Led Training (VILT), participants will be able to: Improve the evaluation, execution and delivery of exploration projects, measured in terms of successful bids for new acreage, increased success rate and volume delivery from exploration drilling, and more rapid progress in appraisal of discoveries. Describe concepts, simple processes, workflows and analysis tools for project execution. Tools include the expert course leader's proprietary project management framework, including project framing and after-action review methodologies, templates for strategy development, decision trees, decision quality frameworks. They also include customised Excel spreadsheets for portfolio modelling, project risk assessment (in new ventures and prospect maturation) and business planning. Understand their role in (a) delivering the company's strategy, (b) contributing data and assessments to key exploration decision makers, and (c) communicating project progress and results to senior management. Target Audience The Virtual Instructor Led Training (VILT) is aimed at exploration professionals with more than 5 to 10 years of experience in the business, who would like to develop their skills for managing exploration projects and presenting the goals and results of their project work to senior management. Exploration and engineering professionals who work in exploration project teams, across the spectrum from new ventures (exploration business development), prospect identification and maturation, and appraisal of discoveries Exploration project leaders Exploration managers The VILT will also benefit professionals from well engineering, petroleum engineering, finance and planning who support exploration activities. Participants are requested to bring a mini-poster (two PowerPoint slides, each printed on A3 paper) as background material for discussion during the course. Course Level Basic or Foundation Trainer Your expert course leader draws on more than 35 years of experience managing, reviewing and directing projects in all aspects of the exploration business: from exploration business development (new ventures), through prospect maturation and drilling, to the appraisal of discoveries. He has more than 30 years' experience with Shell International, followed by 10 years consulting to NOCs in Asia Pacific, Africa and South America and independent oil companies in the United Kingdom, continental Europe and North America. Other than delivering industry training, he has worked on projects for oil & gas companies of all sizes, including independents, national oil companies and (super)-majors, private equity firms, hedge funds and investment banks, and leading management consulting firms. He is an alumnus of Cambridge University. He has M.A and Ph.D. degrees in geology and is a Fellow of the Geological Society of London as well as a respected speaker on management panels at international conferences. Professional Experience Management consultancy & executive education: Advice to investment banks, businesses and major consulting firms. Specialist expertise in upstream oil & gas, with in depth experience in exploration strategy, portfolio valuation and risk assessment. Leadership: Managed and led teams and departments ranging from 3 - 60 in size. Provided technical leadership to a cadre of 800 explorationists in Shell worldwide. Member of the 12-person VP team leading global exploration in Shell, a $3 bln p.a. business and recognised as the most effective and successful among its industry peers. Accountability & decision-making: Accountable for bottom-line results: in a range of successful exploration ventures with budgets ranging from $10's million to $100's million. Made, or contributed to, complex business decisions / investments, taking into account strategic, technical, commercial, organisational and political considerations. Corporate governance: Served as non-executive director on the Boards of the South Rub al Khali Company (oversight of gas exploration studies and drilling in Saudi Arabia) and SEAPOS B.V. (exploration deep-water drilling and facilities management). Technical & operations: Skilled in exploration opportunity evaluation, the technical de risking of prospects, portfolio analysis and managing the interface between exploration and well engineering activities. Unparalleled knowledge of the oil and gas basins of the world, and of different operating regimes and contractual structures, ranging from Alaska, Gulf of Mexico and Brazil, through to the Middle East, former Soviet Union, Far East and Australia. Safety: Following an unsatisfactory audit, became accountable for safety performance in Shell's exploration new ventures. Through personal advocacy and leadership of a small team, delivered pragmatic and effective HSE systems, tools and staff training / engagement and a dramatically improved safety record. R&D: Experience in the 3 key roles in R&D: scientific researcher, research manager, and 'customer' for R&D products. After re-defining Shell's exploration R&D strategy, led the re-structuring of the R&D organization, its interface with 'the business' and approaches to deployment and commercialization. Strategy: Accomplished at formulating competitive strategies in business, R&D and technology deployment, translating them into actionable tactics and results. Defined the exploration strategy of PDO (a Shell subsidiary in Oman) and latterly of Shell's global exploration programme. Professional education, behavioural/motivational coaching: Experienced in organisational re-design, change management, leadership education and talent development. Commercial skills: Personally negotiated drilling compensation claims, educational contracts and E&P contracts, with values of $5 million to $100+ million. 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

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

Unity 3d face to face training customised and bespoke.