Microsoft Power BI Masterclass 2021 Course Overview: The "Microsoft Power BI Masterclass 2021" provides learners with the skills to become proficient in data analysis and visualization using Power BI. This comprehensive course covers the core functionalities of Power BI, from data preparation and transformation to creating impactful reports and dashboards. Learners will gain valuable insights into data modelling, visualisation, and the use of DAX for advanced calculations. By the end of the course, participants will be able to apply their knowledge to real-world projects, improving their ability to communicate data-driven insights effectively. This course is ideal for professionals and beginners who want to leverage Power BI to unlock the potential of their data. Course Description: This masterclass delves into the essential features of Microsoft Power BI, guiding learners through every stage of data analysis. Starting with project setup and data transformation in the Query Editor, the course progresses to advanced topics such as DAX functions and data storytelling. Learners will explore how to build data models, create dashboards, and employ Python in Power BI to enhance their reports. The course also covers Power BI Service for cloud-based analytics, row-level security for data protection, and integrating additional data sources. With a focus on empowering users to communicate insights clearly, the course ensures learners gain the expertise to manage data efficiently, make informed decisions, and stay up to date with evolving tools and features. Microsoft Power BI Masterclass 2021 Curriculum: Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to advance their data visualization expertise. Beginners with an interest in data science or business analytics. Business analysts or data professionals looking to upskill in Power BI. Career Path: Data Analyst Business Intelligence Analyst Data Scientist Power BI Developer Reporting Analyst Data Visualisation Expert
Managing Successful Programmes (MSP®) 5th Edition Practitioner: Virtual In-House Training Managing Successful Programmes (MSP®) is a globally-recognized framework for best practice programme management. MSP certification provides guidance for programme managers, business change managers, and the next step for project managers to develop their knowledge and skills to be able to positively respond to the challenges of managing programmes and larger, more strategic, or multiple projects. MSP 5th Edition emphasizes flexibility, adaptability, and responsiveness by adopting an incremental approach to the programme lifecycle and thus enabling organizational agility. AXELOS offers two levels of MSP Examination: MSP Foundation and MSP Practitioner. The MSP 5th Edition Foundation Examination is intended to assess whether the candidate can demonstrate sufficient recall and understanding of the MSP programme management framework. MSP 5th Edition Practitioner is for project, programme, and business change managers that want to build on their knowledge of MSP in order to practically apply the MSP framework to real-life scenarios, providing the skills to lead and manage a programme. It is a must-have certification for both project and programme management professionals to deliver organizational value to their employers and boost their careers. What you will Learn At the end of this course, participants will be able to: Understand how to apply the MSP principles in context Understand how to apply and tailor relevant aspects of the MSP themes in context Understand how to apply and tailor relevant aspects of the MSP processes in context Course Introduction Application of MSP Principles Program Strategy and Themes Application of Organization Theme Application of Design Theme Application of Justification Theme Application of Structure Theme Application of Knowledge Theme Application of Assurance Theme Application of Decisions Theme Application of MSP Processes
Course Overview The Hospitality Management Level 5 course offers a comprehensive insight into the dynamic and fast-paced world of hospitality. Designed to build a strong foundation in management practices, service excellence, and operational efficiency, the course equips learners with the knowledge and leadership skills required for success in the industry. Covering critical areas such as front office operations, food and beverage management, customer satisfaction, and marketing in travel and tourism, it ensures a well-rounded understanding of hospitality business functions. The curriculum also embraces modern developments such as e-hospitality and the use of technology in operations. Upon completion, learners will have developed key competencies in managing service quality, human resources, and financial aspects of hospitality enterprises. This qualification is ideal for those seeking career progression or wishing to enter this vibrant sector, offering valuable insights into creating memorable guest experiences and efficient business practices within hotels, resorts, and related hospitality organisations. Course Description The Hospitality Management Level 5 course delves deeper into the essential principles, operational challenges, and strategic approaches within the hospitality sector. Learners will explore the structure and evolution of the hotel industry, the importance of efficient recruitment and training processes, and the management of core areas including front office, housekeeping, food and beverage, and security operations. In addition, the programme highlights the significance of customer satisfaction, quality service delivery, marketing strategies, and financial management within hospitality environments. Contemporary topics such as e-hospitality and technology adoption are also integrated to reflect current industry trends. Throughout the course, participants will gain valuable knowledge, analytical capabilities, and management techniques that are crucial for sustaining high service standards and fostering business growth. The course structure is designed to cater to a wide range of learners, providing the flexibility to support both career advancement and entry into this dynamic field. Course Modules Module 01: Introduction to Hospitality Management Module 02: An Overview of Hotel Industry Module 03: The Process of Selection and Recruitment in Hospitality Industry Module 04: The Process of Development and Training in Hospitality Industry Module 05: Management of Front Office Operations Module 06: Management of Housekeeping, Engineering and Security Operations Module 07: Management of Food and Beverage Operations Module 08: Management of Service Quality in Hospitality Industry Module 09: Marketing in Travel and Tourism Business Module 10: Accounting in Hospitality Industry Module 11: Customer Satisfaction Module 12: E-Hospitality and Technology (See full curriculum) Who is this course for? Individuals seeking to start a career in hospitality management. Professionals aiming to enhance their expertise in hospitality leadership and operations. Beginners with an interest in the hospitality and tourism industries. Entrepreneurs planning to launch or manage hospitality ventures. Employees wishing to transition into supervisory or management roles within hospitality. Career Path Hotel Manager Front Office Manager Food and Beverage Manager Guest Relations Manager Hospitality Operations Manager Housekeeping Manager Resort Manager Travel and Tourism Consultant Event Coordinator within Hospitality Industry Hospitality and Tourism Marketing Executive
Duration 2 Days 12 CPD hours This course is intended for The COBIT 2019 Foundation course would suit candidates working in the following IT professions or areas: IT Auditors IT Managers IT Quality professionals IT Leadership IT Developers Process practitioners Managers in IT service providing firms The above list is a suggestion only; individuals may wish to attend based on their own career aspirations, personal goals or objectives. Delegates may take as few or as many Intermediate qualifications as they require, and to suit their needs. Overview This COBIT 2019 Foundation course is designed as an introduction to COBIT 2019 and enables you to understand how an integrated business framework for the governance and management of enterprise IT can be utilized to achieve IT business integration, cost reductions and increased productivity. The syllabus areas that this course is designed to cover are: New framework introduction Key concepts and terminology Governance and Framework Principles Governance system and components Governance and management objectives Performance management Designing a tailored governance system COBIT 2019 builds on and integrates more than 25 years of development in this field, not only incorporating new insights from science, but also operationalizing these insights as practice. The heart of the COBIT framework updates COBIT principles while laying out the structure of the overall framework including: New concepts are introduced and terminology is explained?the COBIT Core Model and its 40 governance and management objectives provide the platform for establishing your governance program. The performance management system is updated and allows the flexibility to use maturity measurements as well as capability measurements. Introductions to design factors and focus areas offer additional practical guidance on flexible adoption of COBIT 2019, whether for specific projects or full implementation. From its foundation in the IT audit community, COBIT has developed into a broader and more comprehensive information and technology (I&T) governance and management framework and continues to establish itself as a generally accepted framework for I&T governance. 1 - COBIT 5 OVERVIEW AND INTRODUCTION Course Administration Course Objectives Exam Overview Certification Scheme History of COBIT COBIT 2019 Improvements Major differences with 2019 Misconceptions about COBIT COBIT and Other Standards 2 - KEY CONCEPTS AND TERMINOLOGY Introduction to Enterprise Governance of Information and Technology Benefits of Information and Technology Governance COBIT Information and Technology Governance Framework Distinction of Governance and Management Three Principles of a Governance Framework Six Principles for a Governance System 3 - GOVERNANCE SYSTEMS AND COMPONENTS Introduction to the Components of a Governance System Processes and Capability Levels Organizational Structures and Defined Roles Information Flows and Items People, Skills and Competencies Principles, Policies and Frameworks Culture, Ethics and Behavior Services, Infrastructure and Applications 4 - GOVERNANCE MANAGEMENT OBJECTIVES Governance and Management Objectives Publication Governance and Management Objectives Governance and Management Objectives Core Model Evaluate, Direct and Monitor Align, Plan and Organize Build, Acquire and Implement Deliver, Service and Support Monitor, Evaluate and Assess 5 - GOALS CASCADE Governance and Management Objective Relationships Governance and Management Objective Descriptions High-Level Information Example Introduction to the Goals Cascade Enterprise Goals Alignment Goals Mapping Tables ? Appendix A 6 - PERFORMANCE MANAGEMENT Introduction to Performance Management COBIT Performance Management Principles COBIT Performance Management (CPM) Overview Process Capability Levels Rating Process Activities Focus Area Maturity Levels Performance Management of Organizational Structures Performance Management of Information Items Performance Management of Culture and Behavior 7 - DESIGNING A TAILORED GOVERNANCE SYSTEM The Need for Tailoring Design Factors Enterprise Strategy Enterprise Goals Risk Profile I&T Related Issues Threat Landscape Compliance Requirements Role of IT Sourcing Model for IT IT Implementation Methods Technology Adoption Strategy Enterprise Size Focus Areas Designing a Tailored Governance System Management Objective Priority and Target Capability Levels Component Variations Specific Focus Areas Stages and Steps in the Design Process 8 - IMPLEMENTING ENTERPRISE GOVERNANCE OF IT The Business Case The COBIT Implementation Guide Purpose COBIT Implementation Approach Phase 1 ? What are the Drivers Phase 2 ? Where are we Now Phase 3 ? Where do we Want to be Phase 4 ? What Needs to be Done Phase 5 ? How do we get There Phase 6 ? Did we get There Phase 7 How do we Weep the Momentum Going? EGIT Implementation Program Challenges
Certified Scrum Professional®-ScrumMaster® (CSP®-SM): Virtual In-House Training Certified Scrum Professionals challenge their teams to improve the way Scrum and Agile principles are applied. They have demonstrated experience, documented training, and proven knowledge in Scrum. Are you ready to take your knowledge and skillset in your role as Scrum Master to the next level? If so, it's time to elevate your career further by earning the Certified Scrum Professional®-ScrumMaster (CSP®-SM) certification. What you will Learn Learn to find practical solutions and improve your implementation of Scrum in the workplace. Aside from the pride gained and earning potential of attaining CSP® level, you can also: Attend exclusive CSP® events with other leaders in Scrum and Agile Attract more recruiters and command a higher rate of pay Establish a gateway and milestone toward becoming CST®, CEC, or CTC Receive a free premium subscription to the world's largest Agile assessment and continuous improvement platform, Comparative Agility®
Duration 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering
Essential DHCP training course description Almost all businesses use DHCP. This course builds on delegates existing IP knowledge and focuses on IP Address management using DHCP. Also covered is the role of DHCP in plug and play environments. What will you learn Explain how DHCP works. Configure DHCP servers. Troubleshoot DHCP. Essential DHCP training course details Who will benefit: Anyone working with TCP/IP. Prerequisites: TCP/IP Foundation for engineers Duration 1 day Essential DHCP training course contents Introduction What is DHCP?, IP configuration: Address, mask, default gateway, DNS. History of DHCP: RARP, BOOTP. Hands on Client configuration, releasing and renewing. DHCP servers Installation. Base configuration: Scope. Lease period. DHCP options. Hands on Server setup, Impact of lease times. Server monitoring. How DHCP works Client states. Obtaining, renewing leases. DHCP messages: DISCOVER, OFFER, REQUEST, NAK, ACK, DECLINE, RELEASE, INFORM. Hands on Troubleshooting DHCP using Wireshark. DHCP architecture DHCP relay agents. Server platforms, resilience, DHCP fail over, split scopes. Dynamic DNS and DHCP. Hands on DDNS, routers, Troubleshooting.
NTP and PTP training course description This course looks at timing and synchronization as provided by NTP and PTP. Hands on sessions primarily involve using Wireshark to analyse the protocols. What will you learn Recognise the importance of timing and synchronisation. Explain how NTP works. Explain how PTP works. NTP and PTP training course details Who will benefit: Anyone using NTP or PTP but particularly relevant for those in the broadcast industry. Prerequisites: TCP/IP foundation for engineers Duration 1 day NTP and PTP training course contents Introduction Clock drift. Timing and synchronization. Importance in computing. Importance in broadcasting. NTP NTP versions, v0 to v4. Architecture. The intersection algorithm. Accuracy. Clock strata, Stratum 0, 1, 2 and 3. Protocol modes. Hands on NTP configuration More NTP NTP packet header. Timestamps. Variables in the header. Clock synchronization algorithm. SNTP. The Windows Time service. Hands on Wireshark and NTP analysis. PTP PTP v2, IEEE 1588. Architecture. Accuracy. Synchronization with PTP. Offset and delay. Hands on Analysing PTP packet flows. More PTP Ordinary clocks, boundary clocks, masters and grandmasters. PTP specific switch types. Hardware time stamping. SMPTE ST2059-2. PTP packet header. PTP domains. Best master clock algorithm. Hands on More Wireshark and PTP.
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.
DevOps demystified training course description This course is an introduction to DevOps. The course emphasizes communication, collaboration , integration, and automation to improve the workflow between developers and IT operations professionals. Improved workflows lead to more opportunities to design software and services in a more agile fashion. This course is a basis for discovering the most important DevOps concepts and to understand the principles and methods behind this. The course will leave you with the inspiration to be the advocate of change. What will you learn Explain DevOps principles. Describe the relationship between Agile , Lean and IT Service Management ( ITSM). Describe methods for automation and technology factors. Describe considerations when changing. Describe challenges, risks and critical success factors. DevOps demystifieds training course details Who will benefit: Non-technical staff involved with DevOps. Prerequisites: None. Duration 1 day DevOps demystified training course contents Why DevOps? From a business perspective From an IT perspective Stereotypes of Dev and Ops: perception and reality What is DevOps? Introduction DevOps Goals DevOps Added value of DevOps Proven Results DevOps for businesses DevOps principles (The Three Ways) DevOps and other frameworks DevOps and Agile DevOps and Lean DevOps and IT Service Management DevOps culture Characteristics of a DevOps culture Organizational Considerations DevOps DevOps stakeholders DevOps roles DevOps teams DevOps organizational structures DevOps methods Continuous Integration Continuous delivery Continuous deployment Value stream mapping Kanban Theory of Constraints Improvement Kata Deming's quality circle ITSM processes DevOps and Automation Methods for DevOps automation Longevity and tools categories DevOps applications Transitioning to a DevOps culture Implementation Challenges, risks and critical success factors Measuring DevOps successes