3747 Courses in Cardiff delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Duration 4 Days 24 CPD hours This course is intended for This in an intermediate level Java development course geared for students experienced with Java 8 or later programming essentials who wish to quickly get up and running with advanced Java skills. This course does not cover Java programming fundamentals. Overview Students will leave this course armed with the required skills to improve their Java applications using sound coding techniques and best practices. This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in advanced development skills, coupling the most current, effective techniques with the soundest industry practices. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Develop modular applications in Java Utilize the tooling that is provided in Java 9 to migrate, monitor and optimize applications Use the new JShell tool to quickly test java constructs Understand how the implementation of the String class has been updated to decrease the memory footprint Use the enhancements made to the Concurrency API, working with Completable Future instance of Thread pools Specific Java 9 features that are covered in the course include: The Java Module System (project Jigsaw) JShell Updated try-with-resources Performance enhancements in Java 9 Multi-Release Jar files This fast-track course is designed for experienced developers who have prior working knowledge of basic Java 8 or Java 9 and want to take advantage of the newest features of Java 9 that can help improve performance and functionality of Java 9 applications. You will gain invaluable insight into how to leverage Modules, scale applications into multi-core environments, improve performance, and become a more effective Java 9 developer. Java 9 Updates Review of What is New in Java 9 Milling Project Coin The Java Module system (Jigsaw) Why JigSaw? Introduction to the Module System The Module Descriptor Working with Modules JShell JShell More Java 9 Other New Java 9 Features Performance Optimizations Memory Management (Optional) Multithreading and Concurrency Multithreading Concurrent Java Java 8 Concurrency Updates Reflection and References Introspection and Reflection Reference Objects Effective Java Objects, Declarations, and Initializations Exceptions Writing High-Performance Applications Profiling and Benchmarking Profiling Tools Code Optimization Techniques Code Optimization Myths Design Optimization Techniques

Duration 3 Days 18 CPD hours This course is intended for In order to be successful in this class, incoming attendees are required to have current, hands-on experience in developing basic web applications, and be versed in HTML5, CSS3 and JavaScript. This is an introductory level Angular development course but an intermediate level web development class, designed for experienced web developers that need to further extend their skills in web development Overview Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn to: What Angular is and why should you use it How Angular reduces the amount of code that you must write to add rich functionality to both existing and new web pages What TypeScript is, why it is useful, and how to use it with Angular How to facilitate development and deployment using Angular CLI How to work with the various aspects of the Angular architecture to implement clean, responsive web interfaces How Routers can support navigation within a Single Page Application What the best practices are for using Angular so that it works unobtrusively and performs well How to use Angular with HTTP to support JSON, REST, and other services Best practices for Angular so that it works unobtrusively and performs well Angular is one of the most popular JavaScript frameworks for creating web and native mobile applications. This introductory course thoroughly explores the latest Angular features and advances, demonstrating how to solve the traditional challenges of JavaScript web application development. You will build custom components, using application routes, form validation, and unit-testing and delve into component-driven development with Angular components. Angular Overview Overview of Angular Architecture Getting Started with Angular Getting Started with TypeScript Bootstrapping with Angular CLI Angular Project Structure Unit Testing with Angular Testing and Angular Working with Angular Components and Events Third Party Libraries Dynamic Views Pipes Angular Forms Forms and the Forms API Single Page Applications and Routes Single Page Applications Services and Dependency Injection Modules Using RESTful Services Overview of REST Angular and REST Angular Best Practices Angular Style Guide What is New in Angular 9 Additional Topics (Time Permitting) Lesson: ES6+ Sass and SCSS for Angular and Material

Getting Started The MSc in Project Management programme is designed for graduates and professionals aiming to pursue or advance their careers in project management. It equips students with the necessary skills and knowledge to effectively plan, develop, manage, and execute complex projects. This comprehensive programme gives students a deep understanding of the project manager role, covering various management processes and practices relevant to project management. Students will gain proficiency in applying their expertise across different sectors. Enrolling in the MSc in Project Management programme enables students to develop the expertise needed to excel in the field and pursue rewarding careers in managing projects effectively. The programme aims to equip students to deliver practical and realistic solutions to strategic business challenges. The programme comprises two phases; the first is the Level 7 Diploma in Project Management, awarded by OTHM and delivered by the School of Business and Technology London. The second phase is the MA in Project Management Advanced Entry, delivered by London Graduate School and awarded by the University of Buckingham. School of Business and Technology London partners with LGS to promote this programme. About Awarding Body Buckingham is unique. It is the only independent University in the UK with a Royal Charter and probably the smallest, with around 2,700 students (approx 1,600 on campus). The University campus is well known for being one of the most attractive locations in the region. The Great Ouse River, home to much wildlife, winds through the heart of campus. Each student mixes with over 100 other different nationalities, so being at Buckingham is just like being in a mini global village. These contacts, acquaintances and friendships carry on long after life at Buckingham is over. Ranked Top 10 for Student Satisfaction Ranked Top 10 for Graduate Prospect Recognised by World Education Services (WES) OTHM Qualifications are approved and regulated by Ofqual (Office of Qualifications and Examinations Regulation) and recognised by Qualifications Wales. OTHM qualifications have achieved a reputation for maintaining significant skills in various job roles and industries like Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. OTHM serves the progression option with several UK universities that acknowledges the ability of learners after studying Level 3-7 qualifications to be considered for advanced entry into corresponding degree year/top-up and Master's/top-up programmes. Regulated by ofqual.gov.uk Recognised by World Education Services (WES) Assessment Assignments and Project No Examinations Entry Requirements A Bachelor's degree or an equivalent or higher qualification. A copy of a valid photo ID. A Statement of Purpose outlines your motivations for joining the course and your career aspirations in project management. An updated Curriculum Vitae (CV) that highlights at least two years of work experience at the graduate level in either a managerial or professional capacity. English Requirements A pass in English at A-level. A Bachelor's degree that was studied and assessed in English. An IELTS overall score of 6.5, with a minimum of 6.0 in each component. A TOEFL score of 72 overall, with a minimum of 18 in reading, 17 in listening, 20 in speaking, and 17 in writing. This includes the TOEFL Home Edition. In addition to the above requirements, all applicants will be scheduled for a live virtual interview with a staff member from the London Graduate School. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure Phase 1 - OTHM Level 7 Diploma in Project Management Programme Structure Planning, Controlling and Leading a Project Unit Reference No: F/618/0223 TQT : 300 Credit : 30 This unit introduces learners to real-world project development and management, emphasizing global business challenges. It encourages critical thinking about project management as complex, culturally dependent systems. Understanding efficient project management is crucial due to the growing prevalence of project activities in firms. Learners delve into team roles, management skills, success factors, and monitoring. Procurement Risk and Contract Management Unit Reference No: R/618/0226 TQT : 300 Credit : 30 This unit aims to equip students with a fundamental understanding of procurement, emphasizing the identification and management of associated risks. It also fosters a critical grasp of relevant legislative frameworks and explores risk assessment in the procurement context. Advanced Project and Logistics Management Unit Reference No: H/618/0229 TQT : 200 Credit : 20 This unit aims to provide learners with an understanding of portfolio management concepts and their features. It will also explore the benefits of having a Project Management Office and the steps involved in establishing an effective one. Additionally, learners will assess the supply chain ecosystem and evaluate IT frameworks suitable for handling logistics and supply chain complexities. Operations and Information Management for Project Managers Unit Reference No: K/618/0233 TQT : 200 Credit : 20 This unit aims to foster a critical understanding of operations and information systems management in the context of projects. Learners will analyze the interconnections between different functional areas and the impact of current factors. Additionally, they will investigate how organizational strategy relates to product planning and assess the significance of inventory management, incorporating information systems and inventory scheduling. Advanced Research Methods Unit Reference No: A/618/0236 TQT : 200 Credit : 20 This unit aims to provide learners with the practical, technical, and methodological skills necessary for independent research in project and management. It acknowledges that effective research requires cultivating specific and broad research skills. This encompasses grasping the research design process, learning diverse techniques for conducting research in business and management studies, and recognizing the ethical and societal implications of conducting valuable research. This unit empowers learners to cultivate a critical awareness of pivotal research skills as researchers and potential practitioners.   Phase 2 - MSc in Project Management Advanced Entry Programme Structure Research Methods Consultancy Project Report Delivery Methods The programme comprises two phases; the first is the Level 7 Diploma in Project Management, awarded by OTHM and delivered by the School of Business and Technology London. The School of Business and Technology London offers flexible learning methods, including online and blended learning, allowing students to choose the mode of study that suits their preferences and schedules. The programme is self-paced and facilitated through an advanced Learning Management System. Students can easily interact with tutors through the SBTL Support Desk Portal System for course material discussions, guidance, assistance, and assessment feedback on assignments. School of Business and Technology London provides exceptional support and infrastructure for online and blended learning. Students benefit from dedicated tutors who guide and support them throughout their learning journey, ensuring a high level of assistance. The second phase is the MSc in Project Management (Advanced Entry), delivered by the London Graduate School and awarded by the University of Buckingham through distance learning. You will receive excellent support from academic team of London Graduate School, including your programme manager and your supervisor who will be with you every step of the way. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Getting Started The MSc in Project Management programme is designed for graduates and professionals aiming to pursue or advance their careers in project management. It equips students with the necessary skills and knowledge to effectively plan, develop, manage, and execute complex projects. This comprehensive programme gives students a deep understanding of the project manager role, covering various management processes and practices relevant to project management. Students will gain proficiency in applying their expertise across different sectors. Enrolling in the MSc in Project Management programme enables students to develop the expertise needed to excel in the field and pursue rewarding careers in managing projects effectively. The programme offers an engaging and comprehensive learning experience for individuals seeking career advancement in senior management. The MSc in Project Management (Advanced Entry) delivered by the London Graduate School and awarded by the University of Buckingham through distance learning. School of Business and Technology London partners with LGS to promote this programme with the University of Buckingham. About Awarding Body Buckingham is unique. It is the only independent University in the UK with a Royal Charter and probably the smallest, with around 2,700 students (approx 1,600 on campus). The University campus is well known for being one of the most attractive locations in the region. The Great Ouse River, home to much wildlife, winds through the heart of campus. Each student mixes with over 100 other different nationalities, so being at Buckingham is just like being in a mini global village. These contacts, acquaintances and friendships carry on long after life at Buckingham is over. Ranked Top 10 for Student Satisfaction Ranked Top 10 for Graduate Prospect Recognised by World Education Services (WES) OTHM Qualifications are approved and regulated by Ofqual (Office of Qualifications and Examinations Regulation) and recognised by Qualifications Wales. OTHM qualifications have achieved a reputation for maintaining significant skills in various job roles and industries like Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. OTHM serves the progression option with several UK universities that acknowledges the ability of learners after studying Level 3-7 qualifications to be considered for advanced entry into corresponding degree year/top-up and Master's/top-up programmes. Regulated by ofqual.gov.uk Recognised by World Education Services (WES) Assessment Assignments and Project No Examinations Entry Requirements A Bachelor's degree or an equivalent or higher qualification. A copy of a valid photo ID. A Statement of Purpose outlines your motivations for joining the course and your career aspirations in project management. An updated Curriculum Vitae (CV) that highlights at least two years of work experience at the graduate level in either a managerial or professional capacity. English Requirements A pass in English at A-level. A Bachelor's degree that was studied and assessed in English. An IELTS overall score of 6.5, with a minimum of 6.0 in each component. A TOEFL score of 72 overall, with a minimum of 18 in reading, 17 in listening, 20 in speaking, and 17 in writing. This includes the TOEFL Home Edition. In addition to the above requirements, all applicants will be scheduled for a live virtual interview with a staff member from the London Graduate School. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure MSc in Project Management Advanced Entry Programme Structure Research Methods Consultancy Project Report Delivery Methods The MSc in Project Management (Advanced Entry) is delivered by the London Graduate School and awarded by the University of Buckingham through distance learning. You will receive excellent support from academic team of London Graduate School, including your programme manager and your supervisor who will be with you every step of the way. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Duration 3 Days 18 CPD hours This course is intended for This is an introductory- level course appropriate for those who are developing applications using relational databases, or who are using SQL to extract and analyze data from databases and need to use the full power of SQL queries. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert practitioner, attendees will learn to: Maximize the potential of SQL to build powerful, complex and robust SQL queries Query multiple tables with inner joins, outer joins and self joins Construct recursive common table expressions Summarize data using aggregation and grouping Execute analytic functions to calculate ranks Build simple and correlated subqueries Thoroughly test SQL queries to avoid common errors Select the most efficient solution to complex SQL problems A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. SQL is the cornerstone of all relational database operations. In this hands-on course, you learn to exploit the full potential of the SELECT statement to write robust queries using the best query method for your application, test your queries, and avoid common errors and pitfalls. It also teaches alternative solutions to given problems, enabling you to choose the most efficient solution in each situation. Introduction: Quick Tools Review Introduction to SQL and its development environments Using SQL*PLUS Using SQL Developer Using the SQL SELECT Statement Capabilities of the SELECT statement Arithmetic expressions and NULL values in the SELECT statement Column aliases Use of concatenation operator, literal character strings, alternative quote operator, and the DISTINCT keyword Use of the DESCRIBE command Restricting and Sorting Data Limiting the Rows Rules of precedence for operators in an expression Substitution Variables Using the DEFINE and VERIFY command Single-Row Functions Describe the differences between single row and multiple row functions Manipulate strings with character function in the SELECT and WHERE clauses Manipulate numbers with the ROUND, TRUNC and MOD functions Perform arithmetic with date data Manipulate dates with the date functions Conversion Functions and Expressions Describe implicit and explicit data type conversion Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions Nest multiple functions Apply the NVL, NULLIF, and COALESCE functions to data Decode/Case Statements Using the Group Functions and Aggregated Data Group Functions Creating Groups of Data Having Clause Cube/Rollup Clause SQL Joins and Join Types Introduction to JOINS Types of Joins Natural join Self-join Non equijoins OUTER join Using Subqueries Introduction to Subqueries Single Row Subqueries Multiple Row Subqueries Using the SET Operators Set Operators UNION and UNION ALL operator INTERSECT operator MINUS operator Matching the SELECT statements Using Data Manipulation Language (DML) statements Data Manipulation Language Database Transactions Insert Update Delete Merge Using Data Definition Language (DDL) Data Definition Language Create Alter Drop Data Dictionary Views Introduction to Data Dictionary Describe the Data Dictionary Structure Using the Data Dictionary views Querying the Data Dictionary Views Dynamic Performance Views Creating Sequences, Synonyms, Indexes Creating sequences Creating synonyms Creating indexes Index Types Creating Views Creating Views Altering Views Replacing Views Managing Schema Objects Managing constraints Creating and using temporary tables Creating and using external tables Retrieving Data Using Subqueries Retrieving Data by Using a Subquery as Source Working with Multiple-Column subqueries Correlated Subqueries Non-Correlated Subqueries Using Subqueries to Manipulate Data Using the Check Option Subqueries in Updates and Deletes In-line Views Data Control Language (DCL) System privileges Creating a role Object privileges Revoking object privileges Manipulating Data Overview of the Explicit Default Feature Using multitable INSERTs Using the MERGE statement Tracking Changes in Data

Duration 5 Days 30 CPD hours This course is intended for Experienced security administrators Overview By the end of the course, you should be able to meet the following objectives: Define information-security-related concepts Explain the different types of firewalls and their use cases Describe the operation of intrusion detection and intrusion prevention systems Differentiate between Malware Prevention approaches Describe the VMware intrinsic security portfolio Implement Zero-Trust Security using VMware NSX segmentation Configure user and role management Configure and troubleshoot Distributed Firewall, Identity Firewall, and time-based policies Configure and troubleshoot Gateway Security Use VMware vRealize Log Insight™ for NSX™ and VMware vRealize Network Insight™ to operate NSX firewalls Explain the security best practices related to grouping, tagging, and rule configuration Describe north-south and east-west service insertion Describe endpoint protection Configure and troubleshoot IDS/IPS Deploy NSX Application Platform Configure and troubleshoot NSX Malware Prevention Describe the capabilities of NSX Intelligence and NSX Network Detection and Response This five-day, hands-on training course provides you with the knowledge, skills, and tools to achieve competency in configuring, operating, and troubleshooting VMware NSX-T? Data Center for intrinsic security. In this course, you are introduced to all the security features in NSX-T Data Center, including Distributed Firewall and Gateway Firewall, Intrusion Detection and Prevention (IDS/IPS), NSX Application Platform, NSX Malware Prevention, VMware NSX© Intelligence?, and VMware NSX© Network Detection and Response?.In addition, you are presented with common configuration issues and given a methodology to resolve them. Course Introduction Introductions and course logistics Course objectives Security Basics Define information-security-related concepts Explain the different types of firewalls and their use cases Describe the operation of IDS/IPS Differentiate between Malware Prevention approaches VMware Intrinsic Security Define the VMware intrinsic security strategy Describe the VMware intrinsic security portfolio Explain how NSX-T Data Center aligns with the intrinsic security strategy Implementing Zero-Trust Security Define Zero-Trust Security Describe the five pillars of a Zero-Trust Architecture Define NSX segmentation and its use cases Describe the steps needed to enforce Zero-Trust with NSX segmentation User and Role Management Integrate NSX-T Data Center and VMware Identity Manager? Integrate NSX-T Data Center and LDAP Describe the native users and roles in NSX-T Data Center Create and assign custom user roles Distributed Firewall Configure Distributed Firewall rules and policies Describe the NSX Distributed Firewall architecture Troubleshoot common problems related to NSX Distributed Firewall Configure time-based policies Configure Identity Firewall rules Gateway Security Configure Gateway Firewall rules and policies Describe the architecture of the Gateway Firewall Identify and troubleshoot common Gateway Firewall issues Configure TLS Inspection to decrypt traffic for both internal and external services Configure URL filtering and identify common configuration issues Operating Internal Firewalls Use vRealize Log Insight for NSX and vRealize Network Insight to operate NSX firewalls Explain security best practices related to grouping, tagging, and rule configuration Network Introspection Explain network introspection Describe the architecture and workflows of north-south and east-west service insertion Troubleshoot north-south and east-west service insertion Endpoint Protection Explain endpoint protection Describe the architecture and workflows of endpoint protection Troubleshoot endpoint protection Intrusion Detection and Prevention Describe the MITRE ATT&CK framework Explain the different phases of a cyber attack Describe how NSX security solutions can be used to protect against cyber attacks Configure and troubleshoot Distributed IDS/IPS Configure and troubleshoot North-South IDS/IPS NSX Application Platform Describe NSX Application Platform and its use cases Identify the topologies supported for the deployment of NSX Application Platform Deploy NSX Application Platform Explain the NSX Application Platform architecture and services Validate the NSX Application Platform deployment and troubleshoot common issues NSX Malware Prevention Identify use cases for NSX Malware Prevention Identify the components in the NSX Malware Prevention architecture Describe the NSX Malware Prevention packet flows for known and unknown files Configure NSX Malware Prevention for east-west and north-south traffic NSX Intelligence and NSX Network Detection and Response Describe NSX Intelligence and its use cases Explain NSX Intelligence visualization, recommendation, and network traffic analysis capabilities Describe NSX Network Detection and Response and its use cases Explain the architecture of NSX Network Detection and Response in NSX-T Data Center Describe the visualization capabilities of NSX Network Detection and Response

In this module, we will discuss the importance of finding the right market for your export product and outline several online and offline methods of locating potential buyers in the market concerned, including how to construct your website for international sales, user social media to attract, international buyers, utilize online market places to drive international expansion, set up an international email marketing campaign, make the most out of trade fair participation, and maximize your chances of success on trade missions and seller-buyer meetings. In this module, we will discuss the importance of finding the right market for your export product and outline several online and offline methods of locating potential buyers in the market concerned, including how to construct your website for international sales, user social media to attract, international buyers, utilize online market places to drive international expansion, set up an international email marketing campaign, make the most out of trade fair participation, and maximize your chances of success on trade missions and seller-buyer meetings.

This two-day programme gives the key insights and understanding of contracting principles and the impact they have on business and operations. The course is designed for individuals involved in or supporting contracting who want to improve their commercial management skills; individuals in functions such as project management, business development, finance, operations who need practical training in commercial management; general audiences wanting to gain a basic understanding of commercial management. This is an assessed programme, leading to the International Association for Contracts & Commercial Management (IACCM)'s coveted Contract and Commercial Management Associate (CCMA) qualification. The programme addresses 31 different subject areas, across the five stages of the contracting process. By the end of the course the participants will be able, among other things, to: Develop robust contract plans, including scope of work and award strategies Conduct effective contracting activities, including ITT, RFP, negotiated outcomes Negotiate effectively with key stakeholders, making use of the key skills of persuading and influencing and to work with stakeholders to improve outcomes Set up and maintain contract management systems Take a proactive approach to managing contracts Make effective use of lessons learned to promote improvements from less than optimal outcomes, using appropriate templates Develop and monitor appropriate and robust Key Performance Indicators to manage the contractor and facilitate improved performance Understand the approvals process and how to develop and present robust propositions Make appropriate use of best practice contract management tools, techniques and templates DAY ONE 1 Introductions Aims Objectives Plan for the day 2 Commercial context Explaining the contracting context Define the key objective The importance of contact management Impact upon the business 3 Stakeholders How to undertake stakeholder mapping and analysis Shared vision concept, How to engage with HSE, Finance, Operations 4 Roles and responsibilities Exploring the key roles and responsibilities of contract administrators, HSE, Finance, Divisional managers, etc 5 Initiating the contract cycle Overview of the contracting cycle Requirement to tender Methods Rationale and exceptions 6 Specifications Developing robust scope of works Use of performance specifications Output based SOW 7 Strategy and award criteria Developing a robust contract strategy Award submissions/criteria 8 Managing the tender process Review the pre-qualification process Vendor registration rules and processes Creation of bidder lists Evaluation, short listing, and how to use of the 10Cs© model template and app 9 Types of contract Classify the different types of contracts Call-offs Framework agreement Price agreements Supply agreements 10 The contract I: price Understanding contract terms Methods of compensation Lump sum, unit price, cost plus, time and materials, alternative methods Cost plus a fee, target cost, gain share contracts Advanced payments Price escalation clauses DAY TWO 11 Risk How to manage risks Risk classification Mitigation of contractual risks 12 Contractor relationship management session Effectively managing relationships with contractors, Types of relationships Driving forces? Link between type of contract and style of relationship 13 Disputes Dealing with disputes Conflict resolution Negotiation Mediation Arbitration 14 Contract management Measuring and improving contract performance Using KPIs and SLAs Benchmarking Cost controls 15 The contract II: terms and conditions Contract terms and conditions Legal aspects Drafting special terms 16 Managing claims and variations How to manage contract and works variations orders Identifying the causes of variations Contractor claims process 17 Completion Contract close-out process Acceptance/completion Capture the learning/HSE Final payments, evaluation of performance 18 Close Review Final assessment

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples