Duration 5 Days 30 CPD hours This course is intended for Technology Consultants Overview Enables you to implement and maintain SAP BW powered by SAP HANA.Outlines advantages of the new SAP 'In-Memory' database foundation for SAP BW.Explains HANA specific features as well as optimized existing as well as new data models and functions of SAP BW.Introduces the new SAP architecture framework of LSA++ and provides guidelines on how to convert your existing EDW-architecture into this new concept.Explains native HANA modeling and how both, HANA information views as well as BW InfoProviders, can complement each other in so-called 'mixed scenarios'. In this course, students gain the knowledge to enable themselves to implement and maintain SAP BW powered by SAP HANA. The course explains HANA specific features as well as optimized existing as well as new data models and functions of SAP BW. Getting Started SAP HANA Basics SAP BW Basics SAP HANA BW Modeling Tools SAP HANA Native Modeling Migration to SAP BW on HANA Migration Strategies and Tools SAP BW Migration Cockpit BW on HANA Data Management Multi-Temperature Data Management Optimizing BW Data Management based on Dynamic Tiering and Non- Active Concept Optimizing BW Data Management based on Nearline-Storage Optimization Areas in BW on HANA HANA-Optimized Data Modeling: InfoCubes HANA-Optimized Data Modeling: Advanced DataStore-Objects HANA-Optimized Data Modeling: CompositeProviders HANA-Optimized Data Staging HANA-Optimized Analytic Manager HANA-Optimized Analysis Processes Modeling with SAPïs Reference Architecture LSA++ Review of Layered Scalable Architecture (LSA) From LSA to LSA++: Streamline Core Layers LSA++: Open Operational Data Store Layer (Open ODS Views) LSA++: Agile Data Mart & BW Workspace Layer Hybrid Modeling in Mixed Scenarios Generation of HANA-Views of BW InfoProviders Mixed Scenarios SAP HANA Live HANA-Optimized BI Content Data Provisioning into SAP HANA and SAP BW Overview of Data Provisioning Methods to SAP HANA SLT Replication into SAP HANA SLT Replication into SAP BW Operational Data Provisioning into SAP BW DB-Connect and Open Hub Destination Additional Enhancements of BW 7.40 InfoObject Enhancements Authorization Enhancements Process Chain Monitoring HANA-Optimized BW Search HANA-Optimized BW Planning Obsolete BW Object Types Mobile Enablement Enhancements SAP HANA vs. BW Accelerator Summary & Outlook New Transactions and BW on HANA Roadmap Additional course details: Nexus Humans BW362 SAP BW on SAP HANA training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the BW362 SAP BW on SAP HANA course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Duration 2 Days 12 CPD hours This course is intended for This course is intended for Business Leaders, including managers/supervisors in the following roles: Developer Architect Video Operator Overview In this course, you will learn to: Articulate the essential terms and concepts fundamental to video compression and distribution Describe the four fundamental stages of video streaming workflows: ingest, process, store and deliver Explain the importance of security in the AWS Cloud and how it is applied in video streaming workflows Analyze video streaming workflow diagrams using AWS services, based on simple to complex use cases Describe some of the key variables that influence workflow decisions Recognize how other AWS services for compliance, storage, and compute, interact with AWS Media Services in video streaming workflows and the functions they perform Describe strategies to test or prototype workflows to mitigate risk and cost impacts and optimize video streaming workflows Use the AWS Management Console to build and run simple video streaming workflows for live and video-on-demand content Recognize the automation and data analytics available for Media Services when used with AWS AI and explore media-specific use cases for these services Identify the next steps in exploring migration to the cloud for one or more Media Services This course covers the media and cloud fundamentals that will empower you to develop a cloud migration strategy for media workflows in support of business goals. The course covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for AWS Media Services. It also introduces security, artificial intelligence, and analytics concepts to help you consider how AWS Media Services fit into your overall cloud strategy. Module 1: Important video concepts Video Metrics Video Compression Video Distribution Major Protocols Used in Video Streaming Module 2: Anatomy of streaming workflows Ingest Process Store Deliver Module 3: Using AWS services in media workflows video-on-demand (VOD) Introduction to AWS Media Services Security Variables Impacting Workflow Design VOD Simple Use Cases VOD Advanced Use Cases Lab 1: Build and run a simple video streaming workflow for VOD content Module 4: Using AWS services in media workflows live streaming Challenges of Live Streaming Live Streaming Simple Use Cases Live Streaming Advanced Use Cases Lab 2: Build and run a simple video streaming workflow for live content Module 5: Optimizing Workflows Cost Considerations Mitigating Risk Monitoring and Automation Exploring Migration Options Additional course details: Nexus Humans AWS Media Essentials for IT Business Decision Makers training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AWS Media Essentials for IT Business Decision Makers course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights. Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00
Negotiation is an everyday challenge for some whether it be in the office, field or at home. Have you ever walked away from a situation thinking "if I'd only put my thoughts, side, opinion or words across better"? This 2-day course is perfect for managers, supervisors and sales people. It will focus on negotiation skills and the techniques that go with it. In this energy-charged provision you'll learn and practice negotiation, assertiveness and influencing techniques. Course Syllabus The syllabus of the Effective Communication and Influencing course is comprised of seven modules, covering the following: Module One An Introduction to Negotiation Assessment of your current sales and negotiation strengths and improvement areas What is negotiation? Identifying objectives and all factors affecting negotiation The negotiation model - the four stages Module Two The Preparation Stage The significance of preparation and why we need to prepare What do you need to prepare? Preparing a set of objectives: yours and theirs Understanding constants and variables Researching the other party Creating a "win-win" situation Preparing yourself for possible set-backs and objections Module Three The Discussion Stage The importance of rapport building Opening the negotiation The power of effective questioning techniques Improving your listening skills Controlling emotions Spotting the signs - non-verbal communication and voice clues Module Four The Proposing Stage Stating your opening position Responding to offers How to deal effectively with adjournments Module Five The Bargaining and Closing Stage Making concessions - the techniques Adopting key bargaining skills Dealing with objections and underhand tactics Closing techniques Confirming the agreement Creating long term, lasting commitment Scheduled Courses Unfortunately this course is not one that is currently scheduled as an open course, and is only available on an in-house basis. Please contact us for more information.
Dealing with Difficult People: Dealing with Difficult People Online Are you struggling to deal with difficult people? Our Dealing with Difficult People: Dealing with Difficult People course can help improve your skills at work. Dealing with Difficult People: Dealing with Difficult People defy logic. Some are blissfully unaware of the negative impact they have on those around them, while others appear to derive satisfaction from causing chaos and pushing other people's buttons. In either case, they add unnecessary complexity, strife and worst of all stress. Stress has long been shown in studies to have a long-term negative impact on the brain. Stress is a formidable threat to your success; when it becomes uncontrollable, your brain and performance suffer. The majority of workplace stressors are easy to identify. Dealing with difficult people is always stressful. We've all been in situations where we had to interact with difficult people, whether at work, school, or over a business lunch. They do exist in the workplace, and the better you become at dealing with them, the happier you will be at work. Dealing with Difficult People: Dealing with Difficult People may take advantage of every opportunity to cause problems, or they may simply use passive resistance to waylay your best efforts to move your agenda forward. While you cannot control others, you can control and improve yourself by doing the following: Recognising your own attitudes and behaviours, creating coping strategies, managing your anger. Through this Dealing with Difficult People: Dealing with Difficult People course, you'll learn how to deal with aggressive, manipulative, undermining, prejudiced, or otherwise difficult people. Main Course: Dealing With Difficult People Course Free Courses included with Dealing with Difficult People: Dealing with Difficult People Course: Along with Dealing With Difficult People Course you will get free Level 5 Report Writing Course Along with Dealing With Difficult People Course you will get free Communication Skills Course Special Offers of this Dealing with Difficult People: Dealing with Difficult People Course: This Dealing with Difficult People: Dealing with Difficult People Course includes a FREE PDF Certificate. Lifetime access to this Dealing with Difficult People: Dealing with Difficult People Course Instant access to this Dealing with Difficult People: Dealing with Difficult People Course 24/7 Support Available to this Dealing with Difficult People: Dealing with Difficult People Course Dealing with Difficult People: Dealing with Difficult People Online Our Dealing with Difficult People: Dealing with Difficult People course has various modules to explain difficult people and their behaviours. How to communicate, solve problems and guide techniques are parts of this Dealing with Difficult People: Dealing with Difficult People course. You also know how to effectively deal with bosses and colleagues are explained in the Dealing with Difficult People: Dealing with Difficult People course. You will be able to make impossible situations possible with this Dealing with Difficult People: Dealing with Difficult People course. Who is this course for? Dealing With Difficult People: Dealing with Difficult People Online This Dealing with Difficult People: Dealing with Difficult People course is ideal for: Anyone involved in communication at work. Executive Assistants or Sales Reps Customer Support Agents Requirements Dealing with Difficult People: Dealing with Difficult People Online To enrol in this Dealing with Difficult People Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Dealing with Difficult People: Dealing with Difficult People Course. Be energetic and self-motivated to complete our Dealing with Difficult People: Dealing with Difficult People Course. Basic computer Skill is required to complete our Dealing with Difficult People Course. If you want to enrol in our Dealing with Difficult People Course, you must be at least 15 years old. Career path Dealing with Difficult People: Dealing with Difficult People Online The Dealing with Difficult People: Dealing with Difficult People course is intended to help you obtain the skills, knowledge, and career of your dreams!
Course Overview The 120 Hours TEFL (TESOL) Masterclass is a comprehensive programme designed for individuals aspiring to teach English as a foreign or second language. This course provides a robust foundation in teaching methodologies, linguistics, grammar, pronunciation, and classroom management. Learners will develop the confidence and competence needed to deliver engaging and effective English lessons across diverse cultural and educational settings. By the end of the course, participants will be equipped with the theoretical knowledge and instructional strategies to teach English successfully to learners of all ages and proficiency levels. This qualification opens the door to teaching opportunities worldwide, enhancing employability in an ever-expanding global market. Whether seeking to start a new career, travel while teaching, or advance existing skills, this course offers valuable expertise and an internationally recognised credential. Course Description This professionally structured TEFL (TESOL) Masterclass covers all the essential aspects of English language teaching. Modules explore topics such as second language acquisition, teaching receptive and productive skills, lesson planning, classroom management, and the integration of technology into teaching. Learners will gain a solid grounding in linguistics, master techniques for teaching grammar, vocabulary, pronunciation, and discover innovative ways to motivate students through games and activities. Throughout the course, participants will build essential skills for creating dynamic learning environments and adapting teaching methods to different learner needs. With a focus on academic excellence and professional development, this course prepares learners for a rewarding career in English language teaching across schools, private institutions, and online platforms. Upon completion, learners will possess a deep understanding of English teaching practices, ready to inspire students and contribute meaningfully to educational communities around the world. Course Modules Module 01: Introduction to English Language Teaching and Learning Module 02: Linguistics Module 03: English Pronunciation Module 04: Teaching Grammar and Vocabulary Module 05: Language Teaching Methodologies Module 06: Teaching Receptive Skills: Reading Module 07: Teaching Productive Skills: Writing Module 08: Teaching Receptive Skills: Listening Module 09: Teaching Productive Skills: Speaking Module 10: Lesson Planning Module 11: Use of Games and Activities Module 12: Technology in Second Language Teaching Learning Module 13: Classroom Management and Student Motivation Module 14: Teaching English: Situational Approach Module 15: Professional Development and Employment (See full curriculum) Who is this course for? Individuals seeking to teach English to speakers of other languages. Professionals aiming to transition into the education sector or broaden their teaching credentials. Beginners with an interest in English language teaching and global communication. Travellers and expatriates looking to pursue international teaching opportunities. Recent graduates considering a career in education and language instruction. Career Path English as a Foreign Language (EFL) Teacher English as a Second Language (ESL) Instructor Online English Tutor Academic English Teacher English Language Programme Coordinator English Curriculum Developer Private Language Institute Teacher International School English Teacher
A flexible, modular-based, programme to heighten participants' awareness of ways in which their operations can affect the environment, the principles of environmental management and the practical steps they need to take as individuals and as an organisation to improve environmental performance. Depending on the course modules selected, this programme will give participants: Increased awareness of relevant environmental issues A greater understanding of, and commitment to, the organisation's environmental management programme Preparation for any responsibilities they may have under an Environmental Management System Further benefits according to options chosen 1 Environmental awareness Definition of 'the environment' Key environmental issuesGlobal warmingOzone depletionAcid rainAir qualityWater pollutionContaminated landLand take and green belt shrinkageResource usageHabitat destruction and species extinctions. Option: This module can be used to explain the key environmental issues related to the activities of your own organisation. Diagrams, photos, pictures, examples and statistics relevant to your own organisation are used where possible to illustrate the points being made. 2 Environmental legislation Key elements of environmental legislation affecting the activities of your organisation - including international, European and UK legislation. Legislation of particular relevance to your organisation - how it affects the operations of your organisation Option: Legislation can be dealt with according to which aspect of the environment it protects (eg, air, water, waste) or which part of your organisation's activities it affects Consequences of breaching legislation 3 Environmental management systems Overview of what an environmental management system isHow is an Environmental Management System (EMS) designed and put together?Key elements (emphasising Plan - Do - Check - Review cycle)The need to continually improve Pros and consReasons for having an EMSBenefits of an EMSConsequences of not managing the environmentCosts of installing an EMS Explanation of ISO 14001 and EMAS standards and guidance as applicable to the EMSs of your organisationOverview of your organisation's EMSHow it was set up / is being developed / operatesWho is responsible for itKey parts of system (eg, environmental policy, objectives and targets) identified and discussedEMS documentation - what and where it is. Workshop option: Brainstorm 'Pros and cons' with the participants, come up with all their ideas for good and bad things about EMS and demonstrate that the 'good' list is longer than the 'bad' 4 Environmental consequences Define what an environmental impact is and discuss how they are determined, with reference to the EMS Identify why we want to determine the environmental consequences of operations and activities; how they are used in the EMS for planning, and reducing the impact on the environment Establish key environmental consequences of construction and operational activities on the site; discuss significance ranking and the control measures in place in your organisation. Workshop option: In small groups, participants are asked to identify the impact on the environment of your organisation's activities or a part of their activities. They are then asked to rank these impacts in terms of their significance, using guidelines provided to help them be aware of the contributing factors (eg, frequency, severity). For a selected number of the impacts, the participants are asked to identify what control measures there are and which of these they play a part in. All stages can be discussed with trainers as a whole group at various stages during the workshop. 5 Protected species, nature conservation and invasive weeds Nature conservation, landscape and visual issues in the planning process - overview of key nature UK wildlife legislation, EIA, appropriate timing of surveys, Hedgerow regulations and landscape and visual impact issues Ecological issues - ecological legislation, significant species, hedgerows Archaeology in the development process - why archaeology is important, organisation in the UK, legislation and planning guidance Construction phase issues and consents - major environmental issues during construction, including water resources and land drainage consents, discharges to land or water, water abstraction, public rights of way, tree protection, waste management, Special waste, noise, good practice pollution control and Environmental Audits Identification and management of invasive weeds - including legal position regarding management 6 Chemicals and fuels handling and storage How health and safety management is closely linked to environmental management of materials Planning - what mechanisms are in place for planning materials use; legislation, guidance and policies which define how to manage materials Materials storage - what are the considerations for storing materials, covering:Labels: what are the different types and what do they tell us?Storage facilities: what are the requirements for safe storage of materials (eg, signs, secondary containment, access, segregation, lids/covers)Handling: safe handling for protecting the environment, organisational procedures, high risk situations (eg, decanting, deliveries), how to reduce the risks (eg, use of funnels, proper supervision, training)COSHH and MSDS: brief explanation of legislation and its role in environmental control of hazardous materials, how to use the information provided by COSHH assessments Option: These sessions can be illustrated with photographs/pictures and examples of good and bad storage and handling practices Workshop Options: Labelling Quiz - quick-fire quiz on what different labels tell us; Build a Storage Facility - participants are asked to consider all the environmental requirements for building a safe storage facility for their organisation 7 On-site control measures Overview of the legislation associated with nuisance issues on site and mitigating problems when they arise Examples of bad practice, including fuel storage tanks and mobile equipment - costs involved with prosecution of fuel spills, remediation costs, management costs, legal fees, bad PR coverage Identification and management of contaminated land and relevant legislation Workshop option: Participants are provided with a site plan containing information on site features, environmental conditions and indications of potential issues 8 Waste management Why worry about waste? - a look at how waste disposal can impact on the environment, illustrated by examples of waste-related incidents, statistics on waste production on national, industry-wide and organisational levels, landfill site space, etc Legislation - overview of the relevant legislation, what the main requirements of the regulations are, what penalties there are, and the associated documentation (waste transfer notes) Waste classification - a more in-depth look at how waste is classified under legislation according to hazardous properties, referring to Environment Agency guidance Handling and storage requirements - what are the requirements of the applicable waste legislation and how are they covered by organisational procedures? Examples of good and bad environmental practice associated with handling and storing waste. Workshop option: 'Brown bag' exercise - participants pass round a bag containing tags each with a different waste printed on. They are asked to pick out a tag and identify the classification and the handling, storage and disposal requirements for the waste they select Waste minimisation - overview of the waste minimisation 'ladder' and its different options (elimination, reduction, reuse and recycling), benefits of waste minimisation, examples of waste minimisation techniques Workshop option: Participants are asked to identify opportunities that actually exist within the organisation for minimising production of waste that are not currently being taken advantage of 9 Auditing Requirements for environmental auditing of operations Auditing the EMS Types of internal and external audits Requirements EMS standards (ISO 14001 and EMAS) Carrying out internal audits and being prepared for external audits Workshop options:Mock audit 'Brown Bag' - can be used either for trainers to test participants as if they were in an audit situation, or for the participants to test each other and practice their auditing technique. The bag contains tags each with a different topic printed on (eg, waste skips); participants pass the bag round and select a tag; they are then questioned by the trainer or another participant about that topic as if they were in an audit situation. If the participants are auditing each other, they will be provided with a set of guidelines to keep in mind during the workshop.Virtual auditing - a more practical workshop where participants review photographs of situations/activities relevant to the organisation's operations. They are asked to identify all the good and bad environmental practices that are occurring in the situations. 10 Incident response What should you do when an incident does happen? What should be in a spill kit? When should you call in the experts? When should you inform the Environment Agency or Environmental Health Officer? Workshop option: The participants are provided with some incident scenarios and asked to develop a response to the incident 11 Monitoring and reporting Environmental monitoring programmes and procedures Monitoring and reporting as control measures for environmental consequences Monitoring and environmental 'STOP' card systems - personal and behavioural monitoring and reporting
The 2025 I Am Writing Competitions are now open! Now in their fourth year our line-up spans TWELVE categories for various audiences, split into genres as follows: Three categories for children's writers: Picture Books, Chapter Books/Graphic Novels, Middle Grade (MG), Young Adult/New Adult/Teen (YA/NA). Adult fiction has four genres: Action/Adventure, Cosy Crime, Crime/Thriller, Historical, Horror, Literary Fiction, Romance, Science-fiction/Fantasy (SFF). Success! Over the past three years, representation has been offered to multiple writers as a result of entering and publishing deals secured. Some books are even out in the wild now with more to follow! A handful of our success stories can be found on the I Am In Print website. Sponsorship To keep our competition as inclusive as possible we welcome low income writers, full-time carers, students in full-time education and writers from underrepresented backgrounds. All voices deserve a chance to be heard. With this in mind, we invite you to help us fund these free of charge and discounted places, which we offer on application. There are a limited number available across all competitions and it is only possible for us to offer these through sponsorship. Please donate by clicking the ‘Book’ button. Thank you Thank you so much in advance for your kindness. Your sponsorship really will enable a writer to take part, helping us make the I Am Writing Competitions as accessible and diverse as possible. What's special about the I Am Writing Competitions? * To ensure that more genres have an opportunity, there are twelve competitions to choose from. * Each genre is judged by a professional literary agent / publisher as the sole reader - so an agent or publisher reads all entries in their category, including yours! We do not use readers to narrow down the entries before they reach the judge, making this competition very unique. * Each competition will have its own shortlist, giving more writers the opportunity to receive praise for their writing skills. * The entry fee is kept as low as possible at £13 per entry. In order to be as transparent as possible, a summary of how we finance the competitions is on the I Am In Print website. * A range of prizes are on offer, from cash prizes and book tokens, to an online Agent121 or publisher feedback meeting. Details of the prizes for each competition are on our website. The competitions close on 22 May 2025 at 12pm BST. Full details can be found here: www.iaminprint.co.uk/competitions-2025/ Thank you for your interest and support of our competition. And if you are entering, good luck! Elane & Sarah Co-Founders I Am In Print / I Am Writing Competitions
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