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Duration 3 Days 18 CPD hours This course is intended for Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform Overview This course teaches participants the following skills: Use best practices for application development. Choose the appropriate data storage option for application data. Implement federated identity management. Develop loosely coupled application components or microservices. Integrate application components and data sources. Debug, trace, and monitor applications. Perform repeatable deployments with containers and deployment services. Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment. Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Best Practices for Application Development Code and environment management. Design and development of secure, scalable, reliable, loosely coupled application components and microservices. Continuous integration and delivery. Re-architecting applications for the cloud. Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK. Lab: Set up Google Client Libraries, Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials. Overview of Data Storage Options Overview of options to store application data. Use cases for Google Cloud Storage, Cloud Firestore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner. Best Practices for Using Cloud Firestore Best practices related to using Cloud Firestore in Datastore mode for:Queries, Built-in and composite indexes, Inserting and deleting data (batch operations),Transactions,Error handling. Bulk-loading data into Cloud Firestore by using Google Cloud Dataflow. Lab: Store application data in Cloud Datastore. Performing Operations on Cloud Storage Operations that can be performed on buckets and objects. Consistency model. Error handling. Best Practices for Using Cloud Storage Naming buckets for static websites and other uses. Naming objects (from an access distribution perspective). Performance considerations. Setting up and debugging a CORS configuration on a bucket. Lab: Store files in Cloud Storage. Handling Authentication and Authorization Cloud Identity and Access Management (IAM) roles and service accounts. User authentication by using Firebase Authentication. User authentication and authorization by using Cloud Identity-Aware Proxy. Lab: Authenticate users by using Firebase Authentication. Using Pub/Sub to Integrate Components of Your Application Topics, publishers, and subscribers. Pull and push subscriptions. Use cases for Cloud Pub/Sub. Lab: Develop a backend service to process messages in a message queue. Adding Intelligence to Your Application Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API. Using Cloud Functions for Event-Driven Processing Key concepts such as triggers, background functions, HTTP functions. Use cases. Developing and deploying functions. Logging, error reporting, and monitoring. Managing APIs with Cloud Endpoints Open API deployment configuration. Lab: Deploy an API for your application. Deploying Applications Creating and storing container images. Repeatable deployments with deployment configuration and templates. Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments. Execution Environments for Your Application Considerations for choosing an execution environment for your application or service:Google Compute Engine (GCE),Google Kubernetes Engine (GKE), App Engine flexible environment, Cloud Functions, Cloud Dataflow, Cloud Run. Lab: Deploying your application on App Engine flexible environment. Debugging, Monitoring, and Tuning Performance Application Performance Management Tools. Stackdriver Debugger. Stackdriver Error Reporting. Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting. Stackdriver Logging. Key concepts related to Stackdriver Trace and Stackdriver Monitoring. Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance.

Master the some of the West End and Broadway’s favourite show tunes by joining our musical theatre singing courses. By attending, you can be assured to learn the correct techniques from day one and enjoy incredible singing lessons. Ideal for those who dream of being part of the show!

Course Overview Delve into the dynamic world of weather and atmospheric sciences with this comprehensive Meteorology course. Whether you’re fascinated by weather patterns, climate systems, or the forces that shape our environment, this course offers a structured pathway to understanding the core principles of meteorology. Learners will explore atmospheric structures, cloud formation, precipitation processes, and major environmental challenges such as global warming and natural hazards. Designed to build both foundational knowledge and contextual awareness, the course helps learners appreciate the scientific mechanisms behind weather forecasts and climate behaviour. Upon completion, students will be well-prepared to engage in further academic studies or pursue roles that require a strong understanding of environmental and climatic phenomena. Course Description This Meteorology course introduces the scientific study of the atmosphere and its processes. Through a series of engaging modules, students will examine topics ranging from the composition of the atmosphere and cloud dynamics to rainfall systems, weather disturbances, and broader planetary influences. Emphasis is placed on understanding the environmental impact of climate change and how global weather systems interconnect. The course also includes a focus on natural hazards, such as storms and droughts, providing insights into how meteorological science is used to monitor and assess these events. Learners will gain theoretical knowledge supported by real-world examples and case studies, enabling them to interpret weather data and explore long-term climate patterns with confidence. Ideal for aspiring meteorologists or environmental enthusiasts, the course encourages critical thinking and scientific curiosity throughout. Course Modules: Module 01: Introduction to Meteorology Module 02: The Atmosphere Module 03: Clouds and their Development Module 04: Precipitation Module 05: Natural Hazards Module 06: The Solar System Module 07: Climate Change and Global Warming (See full curriculum) Who is this course for? Individuals seeking to understand how weather systems and climate change operate. Professionals aiming to expand their knowledge in environmental science or geography. Beginners with an interest in meteorology, climate studies, or Earth sciences. Educators, researchers, and those working in related academic fields. Career Path Meteorological Assistant Environmental Data Analyst Weather Forecaster Support Staff Academic Research Assistant in Climate Studies Climate Policy Advisor Public Sector Environmental Analyst

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

Our course empowers you to handle workplace issues effectively and fairly. Learn best practices, procedures, and communication skills to maintain a harmonious and compliant workplace. Course overview Duration: 1 day (6.5 hours) This course will enable participants to manage disciplinary and grievance issues effectively. The emphasis is on the use of a structured approach where positive action and problem-solving is highlighted as a priority. The course will build knowledge, skill and confidence in handling these areas objectively, fairly and appropriately in line with policies/procedures, best practice and legal requirements. Objectives  By the end of the course you will be able to: Describe the purpose of disciplinary and grievance procedures and how these relate to relevant laws and other procedures Know your role as managers in fairly and consistently applying the procedures at the informal and formal stages Explain the grounds for disciplinary or grievance action and the need to collect, assess and present evidence Describe the structure and roles of disciplinary meetings Explain of the basis for reaching fair and reasonable decisions and possible remedies and penalties Describe the grounds and procedure for appeals Content Disciplinary Procedures Employment Contract – what an employee and employer expect and how to manage when broken. Natural Justice – ensuring ‘fair play’. Misconduct v Capability - what is the difference and which process should be used to manage both. Informal v Formal Action – understanding the processes for both informal and formal disciplinary actions. Suspensions – when, why and how to suspend an employee. Investigations – how to undertake a robust investigation and what to include in the report. Disciplinary Meeting – how to conduct the meeting, the different roles involved. Appeals – understanding how people can appeal and the process to appeal. Grievance Procedures What the law requires – what are the legal requirements for handling a grievance. Informal v Formal Action – understanding the processes for both informal and formal grievance procedures. Conducting the hearing – how to undertake a robust hearing and who should be involved. Appeals - how can people appeal and what is the process.

Lymphatic Drainage Massage Therapy Course Overview This Lymphatic Drainage Massage Therapy course provides learners with a comprehensive understanding of lymphatic drainage techniques, focusing on their therapeutic benefits and practical applications. It explores the anatomy of the lymphatic system, the causes and symptoms of lymphatic dysfunction, and the methods used to stimulate lymph flow. By the end of the course, learners will be equipped with the knowledge and techniques to provide lymphatic drainage massage, addressing a variety of health concerns. This course is ideal for those seeking to expand their skillset in massage therapy or those interested in natural healing practices. Course Description This course delves into the science of lymphatic drainage massage, including the anatomy of the lymphatic system and its vital role in immune function. Learners will explore various techniques for stimulating lymph flow and addressing lymphatic dysfunction. Topics covered include the causes of lymphatic issues, manual massage techniques, and the overall therapeutic effects of lymphatic drainage. By the end of the course, learners will possess the skills to conduct effective lymphatic drainage massages, improving both the health and wellness of their clients. The course also offers insights into how lymphatic drainage can aid in recovery and wellness, making it highly relevant for professionals in the health and wellness industry. Lymphatic Drainage Massage Therapy Curriculum Module 01: Introduction to Lymphatic Drainage Massage Module 02: The Lymphatic System Module 03: Lymphatic Dysfunction Module 04: Manual Lymphatic Drainage Massage Module 05: Manual Lymphatic Massage Treatment Module 06: Effect of Lymphatic Drainage Massage Therapy (See full curriculum) Who is this course for? Individuals seeking to enhance their knowledge of massage therapy. Professionals aiming to expand their therapeutic techniques. Beginners with an interest in wellness and natural healing. Health enthusiasts keen on improving their self-care practices. Career Path Lymphatic Drainage Massage Therapist Wellness Practitioner Massage Therapist in spa and wellness centres Health and Holistic Care Professional Natural Health Consultant

6 Week Qi-Gong Course For Winter When: Tuesday Evenings 6pm and Thursday Mornings (via Zoom) All classes are recorded so you can catch up in your own time. Dates: Tuesdays 6-7pm: January 7th, 14th, 21st, 28th and February 4th and 11th Thursdays 9-9.30am: January 9th, 16th, 23rd, 30th and February 6th and 13th Price: Concessions £60 – Standard £80 – Supporter £110 Suitable for everyone no matter your experience What if you could improve your health, strength and vitality, by simply slowing down? Slow your body Slow your breath Slow your mind When we slow down we give ourselves the opportunity to rejuvenate, to recharge and to harness our own life force energy or “Qi”. As we move towards winter we begin to turn inwards and connect to the power of Yin, the power of Water and the power of finding our own slow flow. In this 6 week course we will explore Qigong movements, meditations and breathwork practices to support this slowing down, giving us the space to connect to our Qi, to our subtle energy, giving us the tools to feel stronger, calmer and full of vitality. In Traditional Chinese Medicine we are entering the water phase of winter. The water element relates to the organs of the bladder and kidneys, our bones, our ears and our sense of hearing. The meridians of Kidney and Bladder run along our spine and the back of the body and when they are flowing well we feel supported by life, grounded and connected to the world around us. We can find our inner flow with ease, without effort or strain, enabling us to let go of our fears and move forward with courage. Qigong teaches us to come back to our bodies, to come back home, to a place of belonging that is inside all of us, a place of stillness in our the centre. Where we can better navigate life’s uncertainties with greater balance, ease, and steadiness. What is included: Six live 60min evening Qigong Classes on zoom Six live 30min morning Slow Flow classes on zoom Access to replays of all classes so you can catch up in your own time. Access to private Whats App group to share experiences and ask questions Weekly supporting material for home practice : – A Weekly video with a guided Qigong Practice or Meditation – PDF – explanations of each practice – Key acupuncture points for self massage Together we will: Learn a simple Slow Flow Qigong Movements to balance your nervous system and release stress. Explore the principal of Wu Wei – Release tension and move with effortless action Connect to your deep internal power – Learn to Standing in Emptiness (Wuchi) Strengthen Kidneys and support adrenal health Exercises to strengthen your spine and reduce back pain Clear the meridian pathways reducing stagnation and stiffness for increased flow and vitality. Learn self-massage techniques for key acupuncture points to release stress and calm our busy minds. Qigong means “To Nourish Life” and for me having a regular practice helps to bring me home to myself. What will i get out of this course? Deeper body awareness Increased strength and emotional stability Relax your mind and Improve mental clarity Enhanced breathing and improved circulation Strengthen your back and build a healthy spine Less physical tension and reduced pain More energy Less stress and anxiety Everyone is welcome to join the course no matter your experience. Please get in touch if you have any questions.

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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