Develop a deep understanding of electricity pricing and marginal cost analysis with EnergyEdge's virtual instructor-led training course. Enroll now for a rewarding learning journey!
Develop your technical report writing and presentation skills with EnergyEdge's course designed for oil & gas professionals. Sign up now!
Risk Management for IT Projects: In-House Training IT projects may have direct bottom-line impact on the organization, cost millions of dollars, cause organizational change and change the way the organization is perceived by clients. Many IT projects are notoriously hard to predict and are filled with risk. IT Risk Management takes a comprehensive look at IT project risk management using PMI's PMBOK® Guide Risk Management Model in the context of IT Project Life Cycle phases. The goal of this course is to arm the practitioner with a rigorous, common-sense approach to addressing uncertainty in projects. This approach includes the ability to influence project outcomes, avoid many potential project risks, and be ready to calmly and efficiently respond to unavoidable challenges. What you will Learn You'll learn how to: Describe the risk management process, using the PMBOK® Guide's standard models and terminology Discuss the potential barriers to managing risk effectively in IT project organizations Develop an effective risk management plan for IT projects Identify project risks using IT-specific, practical tools Analyze individual risk events and overall project risk using IT-specific, practical approaches Plan effective responses to IT-specific risk based on the results of risk analysis and integrate risk responses into project schedules and cost estimates Manage and control risk throughout the IT project life cycle Implement selected elements of IT project risk management on your next project Foundation Concepts Basic concepts and purpose Risk and project constraints Risk and corporate cultures Risk management and IT PLC standards Plan Risk Management for IT Projects Plan Risk management process Plan Risk management activities Design a standard template Assess the project-specific needs Tailor the template Produce a project-specific risk management plan Gain consensus and submit as part of overall project plan A risk management plan of IT projects Identify Risks for IT Projects Identify risk process overview Risk categories and examples Risk identification tools Risk events by project life-cycle phases Perform Risk Analysis for IT Projects Perform qualitative risk analysis overview Core qualitative tools for IT projects Auxiliary qualitative tools for cost and schedule estimates When to use quantitative analysis for IT projects Plan Risk Response for IT Projects Plan risk response overview Active risk response strategies for IT projects (Threat and Opportunity) Acceptance and contingency reserves Contingency planning for IT projects Plan risk responses for IT projects Implement Risk Response for IT Projects Implement Risk Responses Executing Risk Response Plans Techniques and Tools Used Continuous Risk Management Monitor Risks for IT Projects Monitor risks overview Monitor risks tips for IT projects Technical performance measurement systems Risk management implementation for IT projects
Gain a comprehensive understanding of positive behavior support principles, strategies, and techniques with our course. Ideal for educators, caregivers, and professionals working with individuals with developmental disabilities, mental health issues, or behavioral challenges.
About this Virtual Instructor Led Training (VILT) This 2-half-day Virtual Instructor Led Training (VILT) course will discuss the chemical aspects of the water-steam cycle in a power plant. The VILT course will examine the different types of chemicals used in boilers, potential issues in a water-steam cycle as well as aspects of monitoring and specifications regarding target values and alarm levels. Participants will also be equipped on what to do or key action steps to take in the event of chemistry-related incidents. This course is delivered in partnership with ENGIE Laborelec. Training Objectives The VILT course will cover the following: Detailed aspects of chemistry in a water steam cycle, including types of chemicals used in boilers depending on the treatment and type of boiler Potential issues in a water-steam cycle such as corrosion and deposition Monitoring & analytical programmes and knowledge of specifications for the water steam cycle (normal values targets - alarm levels) Chemistry aspects during transition periods: start-up, shutdown and preservation Actions to be taken in the event of an alarm Examples of incidents or deviations compared to normal chemistry Target Audience The VILT course is intended for: Power plant chemists Plant operation or maintenance engineers Consultants and technical project managers Boiler engineers Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Your expert course leader is a chemistry consultant in the energy sector. He works with operators of power plants and industrial facilities. He is active in water-steam cycle chemistry, where he provides support to increase chemistry maturity through audits, trainings or development of key performance indicators. His role also includes operational assistance in the field of chemical cleaning and troubleshooting. More recently, he expanded his field of competence towards electrical storage. In this regard, he specializes in electrochemistry and is in charge of different tests on batteries and their components within the ENGIE Batteries Lab. 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
The "Emergency Response for Care Homes" course is designed to provide care home staff with essential knowledge and skills to effectively respond to a wide range of emergency situations. This course aims to reinforce and update the participants' understanding of emergency protocols, procedures, and best practices, ensuring a safe and coordinated response in times of crisis.
Internet of Things training course description A concise overview course covering The Internet of Things and the technologies involved. Particular emphasis is placed on the high level architecture of IoT and the benefits achievable. What will you learn Describe the structure of the IoT List the technologies involved in IoT. Explain how IoT works. Internet of Things training course details Who will benefit: Non-technical staff working with IoT. Prerequisites: None. Duration 1 day Internet of Things training course contents What is IoT The Internet, what is IoT? IoT and M2M, IoT technologies, IoT architecture. Wired and wireless communication. IoT applications; Smart houses, smart cities, smart cars, wearable, environment, other domain specific IoTs. IoT architecture Physical objects, virtual objects, cloud computing, data capture, communications. Big data. Components Hardware, sensors, actuators, chips, firmware, embedded systems. Open source platforms. Power options: Battery, solar, PoE. IoT communication RF, ZigBee, Bluetooth, Bluetooth LE, RFID, WiFi, 802.11ah, mobile technologies. Wired. Arduino (as an example) Microcontrollers, the platform, development, Arduino software, reading from sensors, I2C, SPI. Arduino and the Internet, HTTP, WiFi, GSM. The cloud and IoT: Pachube, nimbits, ThingSpeak Security in IoT Authentication, Encryption, secure booting, firewalls.
Emotional Intelligence: In-House Training Emotional Intelligence is a set of emotional and social skills that collectively establish how well we: Perceive and express ourselves Develop and maintain social relationships Cope with challenges Use emotional information in an effective and meaningful way It is a skill set that transfers across all categories of relationships. It is also a predictor of success - both in life and at work. This highly-interactive course delivers a practical approach to developing, improving, and sustaining effective and mutually beneficial relationships. The design of the course involves individual reflection and paired activities, interwoven with small and large group interactions. The EQ-i 2.0® assessment reports will be debriefed over the course of the two days. In addition, participants will delve into their personal strengths and blind spots, and will explore topics including: the neuroscience of emotion, the connection between empathy and performance, and how communication styles impact our perceptions of self and other. Role-play activities give participants the opportunity to try out new behaviors and techniques. The program includes: A personal behavioral profile, the results of which you will bring to your training 2-day highly interactive workshop and experiential learning Optional professional coaching activities initiated in class that can continue over the four months after class ends What you will Learn Recognize your interpersonal strengths and potential blind spots regarding Emotional Intelligence Identify the five domains within the EQ-i 2.0 assessment model Summarize what neuroscience research has discovered about emotions and actions Recognize ways that human beings are physiologically impacted by stress Articulate ways to develop and maintain strong working relationships Describe how emotional intelligence translates into high performance Make use of the EI model and associated competencies Employ strategies for enhancing leadership through Emotional Intelligence Foundation Concepts The biology of emotion Why Emotional Intelligence matters The impact of EI on performance The EQ-I 2.0 Model Overview of the EQ-i 2.0 framework Exploring your report Balancing your EI domains Self: Awareness and Sensitivity Self-awareness and empathy Perception vs. reality Acting by choice, not impulse Other: Communication and Relationship-Building Elements of effective communication Communication styles Communication techniques Neuroscience and Behavioral Change Insights from social neuroscience Making a change
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.