146 Intelligence courses in Birmingham

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Microsoft Project Blue Belt® 2013: In-House Training This course introduces Project Server 2013 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. This course introduces Project Server 2013 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. What you Will Learn You'll learn how to: Identify the project's life cycle Understand the Enterprise Project Management (EPM) environment Apply the basic project management principles to selecting, initiating, planning, executing, monitoring and controlling, and closing your Project 2013 schedules Take advantage of new features Explain Project Server 2013 views and project sites Meet deadlines and budget restrictions Keep the workloads of your resources within their available limits Efficiently update your schedule Take advantage of the standard reports, custom views, and visual reports for your projects Take a brief look at the Business Intelligence potential Efficiently and effectively manage your project(s) and programs Work comfortably within Project Server 2013 or Project Online Getting Started with Microsoft® Project Server 2013 Describing the EPM context Discovering Project Server 2013 and Project Online Differentiating the users of Project Server 2013 Working with Project Professional 2013 and Project Server 2013 Recognizing the Life Cycle within EPM Projects and Portfolio Management Portfolio management and governance Originating new initiatives within EPTs and workflows Prioritizing initiatives, analyzing scenarios, optimizing, and selecting the portfolio Initiating Projects Initiating processes with Project Professional, SharePoint lists, Enterprise Projects, and Resource Plans Importing projects and managing project owner and permissions Planning Projects - Scope and Schedule Management Planning context and framework Scheduling in PWA Using the Deliverables feature Planning Projects - Staffing Management Plan Building a project team Managing resource availability Reviewing the assignment cycle Resolving resource overallocation Planning Projects - Cost Components, Baseline, and Consolidated Schedules Developing components of the Cost Management Planning processes Working with the baseline in projects and programs or master schedules Improving the Collaboration in the Project Sites Creating the Project Sites Developing components of the Risk Management Plan and Issues Tracking Linking planning documents Additional apps and customization Executing Projects Understanding executing processes Managing resources using Build Team and other features Working with timesheets Reporting administrative time Configuring personal settings Monitoring and Controlling Projects - Tracking Task and Project Progress Understanding the Monitoring and Controlling processes Task progress and updates in PWA including considerations for different tracking methods Task progress and updates in Project Professional 2013 Monitor and Control Projects - Measuring Performance and Reporting Progress Understanding status reports Reviewing performance metrics and progress reports Taking advantage of preloaded reports at the Business Intelligence Center Considerations for defining custom reports Closing Projects Reviewing the closing processes and closing tasks to updates Supporting the closing process

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Querying Microsoft SQL Server course description This course covers the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server and provides the foundation for all SQL Server-related disciplines; namely, database administration, database development and business intelligence. This course helps prepare for exam 70-761. Note: This course is designed for SQL Server 2014or SQL Server 2016. What will you learn Write SELECT statements. Create and implement views and table-valued functions. Transform data by implementing pivot, unpivot, rollup and cube. Create and implement stored procedures. Add programming constructs such as variables, conditions, and loops to T-SQL code. Querying Microsoft SQL Server course details Who will benefit: Database administrators, database developers, and business intelligence professionals. SQL power users, namely, report writers, business analysts and client application developers. Prerequisites: Database fundamentals Duration 5 days Querying Microsoft SQL Server course contents Introduction to Microsoft SQL Server Management studio, creating and organizing T-SQL scripts, using books online. Hands on working with SQL Server tools. T-SQL querying Introducing T-SQL, sets, predicate logic, logical order of operations in SELECT statements, basic SELECT statements, queries that filter data using predicates, queries that sort data using ORDER BY. Hands on introduction to T-SQL querying. Writing SELECT queries Writing simple SELECT statements, eliminating duplicates with DISTINCT, column and table aliases, simple CASE expressions. Hands on writing basic SELECT statements. Querying multiple tables cross joins and self joins, write queries that use Inner joins, write queries that use multiple-table inner joins, write queries that use self-joins, write queries that use outer joins, write queries that use cross joins. Hands on querying multiple tables. Sorting and filtering data Sorting data, filtering data with predicates, filtering data with TOP and OFFSET-FETCH, working with unknown values, WHERE clause, ORDER BY clause, TOP option, OFFSET-FETCH clause. Hands on sorting and filtering data. SQL Server data types Introducing SQL Server data types, Character data, date and time data, queries that return date and time data, write queries that use date and time functions, write queries that return character data, write queries that return character functions. Hands on working with SQL Server data types. DML Adding data to tables, modifying and removing data, generating automatic column values, Inserting records with DML, updating and deleting records using DML. Hands on using DML to modify data. Built-in functions Queries with built-in functions, conversion functions, logical functions, functions with NULL, queries that use conversion functions, queries that use logical functions, queries that test for nullability. Hands on built-in functions Grouping and aggregating data Aggregate functions, the GROUP BY clause, filtering groups with HAVING, queries that use the GROUP BY clause, queries that use aggregate functions, queries that use distinct aggregate functions, queries that filter groups with the HAVING clause. Hands on grouping and aggregating data. Subqueries Self-contained subqueries, correlated subqueries, EXISTS predicate with subqueries, scalar and multi-result subqueries. Hands on subqueries. Table expressions Views, inline table-valued functions, derived tables, common table expressions. queries that use views, write queries that use derived tables, Common Table Expressions (CTEs), write queries that se inline Table valued expressions (TVFs). Hands on table expressions. Set operators The UNION operator, EXCEPT and INTERSECT, APPLY, queries that use UNION set operators and UNION ALL, CROSS APPLY and OUTER APPLY operators. Hands on set operators. Windows ranking, offset, and aggregate functions OVER, window functions, ranking functions, offset functions, window aggregate functions. Hands on; windows ranking, offset, and aggregate functions. Pivoting and grouping sets PIVOT and UNPIVOT, grouping sets, queries that use the PIVOT operator, queries that use the UNPIVOT operator, queries that use the GROUPING SETS CUBE and ROLLUP subclauses. Hands on pivoting and grouping sets Executing stored procedures Querying data with stored procedures, passing parameters to stored procedures, simple stored procedures, dynamic SQL, the EXECUTE statement to invoke stored procedures. Hands on executing stored procedures. Programming with T-SQL T-SQL programming elements, controlling program flow, declaring variables and delimiting batches, control-of-flow elements, variables in a dynamic SQL statement, synonyms. Hands on programming with T-SQL Error handling T-SQL error handling, structured exception handling, redirect errors with TRY/CATCH, THROW to pass an error message back to a client. Hands on implementing error handling. Implementing transactions Transactions and the database engines, controlling transactions, BEGIN, COMMIT, and ROLLBACK, adding error handling to a CATCH block. Hands on implementing transactions.

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About this Course This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data. A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning. With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties. On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side. This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting. Training Objectives This course offers a comprehensive approach to all aspects of load forecasting: Gain a perspective of load forecasting from both operators in the generating plant and system operators. Understand and review the advanced load forecasting concepts and forecasting methodologies Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames Appreciate market segmentation and econometric framework for long term forecasts Find out the most recent practical application of load forecasting as examples from large power companies Get access to recent industry reports and developments Target Audience Energy load forecasting professionals from power plant and system operators Energy planners and energy outlook forecasters and plant operators Fuel procurement professionals Planners and schedulers of thermal generating units Course Level Intermediate Trainer Your expert course instructor 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 post training support and fees applicable Accreditions And Affliations

Penetration testing training course description An advanced technical hands on course focusing on hacking and counter hacking. The course revolves around a series of exercises based on "hacking" into a network (pen testing the network) and then defending against the hacks. What will you learn Perform penetration tests. Explain the technical workings of various penetration tests. Produce reports on results of penetration tests. Defend against hackers. Penetration testing training course details Who will benefit: Technical support staff, auditors and security professionals. Staff who are responsible for network infrastructure integrity. Prerequisites: IP Security IP VPNs Duration 5 days Penetration testing training course contents Introduction Hacking concepts, phases, types of attacks, 'White hacking', What is penetration testing? Why use pen testing, black box vs. white box testing, equipment and tools, security lifecycles, counter hacking, pen testing reports, methodologies, legal issues. Physical security and social engineering Testing access controls, perimeter reviews, location reviews, alarm response testing. Request testing, guided suggestions, trust testing. Social engineering concepts, techniques, counter measures, Identity theft, Impersonation on social media, Footprints through social engineering Reconnaissance (discovery) Footprinting methodologies, concepts, threats and countermeasures, WHOIS footprinting, Gaining contacts and addresses, DNS queries, NIC queries, ICMP ping sweeping, system and server trails from the target network, information leaks, competitive intelligence. Scanning pen testing. Gaining access Getting past passwords, password grinding, spoofed tokens, replays, remaining anonymous. Scanning (enumeration) Gaining OS info, platform info, open port info, application info. Routes used, proxies, firewalking, Port scanning, stealth port scanning, vulnerability scanning, FIN scanning, Xmas tree scanning, Null scanning, spoofed scanning, Scanning beyond IDS. Enumeration concepts, counter measures and enumeration pen testing. Hacking Hacking webservers, web applications, Wireless networks and mobile platforms. Concepts, threats, methodology, hacking tools and countermeasures. Trojan, Backdoors, Sniffers, Viruses and Worms Detection, concepts, countermeasures, Pen testing Trojans, backdoors, sniffers and viruses. MAC attacks, DHCP attacks, ARP poisoning, DNS poisoning Anti-Trojan software, Malware analysis Sniffing tools. Exploiting (testing) vulnerabilities Buffer overflows,, simple exploits, brute force methods, UNIX based, Windows based, specific application vulnerabilities. DoS/DDoS Concepts, techniques, attack tools, Botnet, countermeasures, protection tools, DoS attack pen testing. SQL Injection Types and testing, Blind SQL Injection, Injection tools, evasion and countermeasures. Securing networks 'Hurdles', firewalls, DMZ, stopping port scans, IDS, Honeypots, Router testing, firewall testing, IDS testing, Buffer Overflow. Cryptography PKI, Encryption algorithms, tools, Email and Disk Encryption. Information security Document grinding, privacy.

About this Virtual Instructor Led Training (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: Understand why the data asset is now considered as a main asset by energy organizations Appreciate the importance of data governance and become an active stakeholder of it Understand the architecture and implementation of data structure in their professional environment Get familiarized with the more important data management activities such as data security and data quality Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives A detailed reference manual A lexicon of terms for data-management Limited class size to encourage the interactivity Target Audience This VILT course is intended for: Junior/new data managers Geoscientists Reservoir engineers Producers Maintenance specialists Construction specialists Human resources Legal Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       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

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