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This Business English tutoring course is designed to help adult learners improve their English language skills within a professional context. Participants will focus on developing their communication skills, vocabulary, and cultural understanding necessary for success in the business world. Through practical exercises, role-plays, and industry-specific materials, learners will enhance their ability to effectively communicate in English within various business situations.  Course Duration: 12 weeks (48 sessions) Course Objectives: By the end of this course, participants will: 1. Communicate confidently and effectively in English within a business setting. 2. Expand business-related vocabulary and improve language accuracy. 3. Develop listening skills to understand business conversations and presentations. 4. Enhance reading comprehension skills for business-related texts. 5. Write accurately and coherently for business correspondence. Course Outline: Week 1: Introduction to Business English - Introduction to course objectives, expectations, and methodology - Assessment of participants' current language proficiency and individual learning goals - Overview of key business English skills and areas of focus Week 2: Business Communication Skills - Developing effective oral communication skills for business settings - Role-plays and discussions related to common business scenarios - Enhancing fluency, clarity, and confidence in expressing ideas and opinions Week 3: Business Vocabulary Expansion - Expanding business-related vocabulary and terminology - Exercises and activities to reinforce and practice key business terms - Incorporating industry-specific jargon into oral and written communication Week 4: Business Writing Skills - Improving writing skills for business correspondence - Practice exercises for emails, reports, memos, and other business documents - Enhancing clarity, coherence, and professional tone in written communication Week 5: Listening and Comprehension in Business Contexts - Developing listening skills to understand business conversations, presentations, and meetings - Authentic listening materials related to various business topics - Strategies for note-taking, understanding accents, and extracting key information Week 6: Reading and Comprehension for Business - Developing reading skills for business-related texts - Strategies for skimming, scanning, and understanding complex business documents - Identifying main ideas, supporting details, and summarising key information Week 7: Business Presentation Skills - Developing effective presentation skills for business contexts - Techniques for organising content, engaging the audience, and delivering impactful presentations - Practice sessions with feedback and guidance Week 8: Business Negotiation Skills - Enhancing negotiation skills for business interactions - Role-plays and practical exercises for successful negotiations - Polishing language and strategies for effective business communication Week 9: Business Etiquette and Cultural Understanding - Understanding business etiquette and cultural nuances in professional settings - Developing intercultural communication skills for international business contexts - Practicing effective communication in diverse and multicultural environments Week 10: Business Networking and Socialising - Developing language skills for networking and socialising in business contexts - Role-plays and exercises for effective communication at conferences, events, etc. - Polishing conversational skills, small talk, and building professional relationships Week 11: Business Grammar and Language Accuracy - Reviewing and reinforcing essential grammar rules and structures in a business context - Identification and correction of common errors in business writing and speaking - Exercises and activities to improve language accuracy Week 12: Review and Final Evaluation - Reviewing course content and addressing individual needs - Comprehensive review exercises for all language skills in a business context - Final evaluation and feedback session Note: This syllabus serves as a guideline and can be customised based on the specific needs, interests, and proficiency levels of the participants. The course may also include guest speakers or industry-specific case studies to provide further immersion and practical application of language skills.

An hour exploring Autism, including the communication differences, strengths, sensory differences and unique experiences.

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This course is designed to enhance the speaking and conversational skills of adult learners in English. Through a combination of interactive activities, discussions, and real-life scenarios, participants will develop the confidence and fluency needed to engage in various social and professional situations. Emphasis will be placed on improving pronunciation, expanding vocabulary, and refining grammar structures to communicate effectively in English.  Course Duration: 10 weeks (20 sessions) Course Objectives: By the end of this course, participants will: 1. Improve their overall speaking fluency and accuracy in English. 2. Enhance their listening skills to understand and respond appropriately in conversations. 3. Expand their vocabulary and idiomatic expressions for effective communication. 4. Develop confidence in speaking English in social and professional settings. 5. Gain a deeper understanding of cultural nuances and non-verbal communication in English-speaking countries. Course Outline: Week 1: Introduction to Conversational English - Icebreaker activities to get to know each other - Assessing participants' current speaking level - Setting personal goals for the course Week 2: Pronunciation and Intonation - Identifying common pronunciation challenges - Practicing correct stress and intonation patterns - Role-playing exercises for clear communication Week 3: Everyday Conversations - Engaging in small talk and greetings - Discussing personal interests and hobbies - Describing daily routines and activities Week 4: Travel and Tourism - Asking for directions and recommendations - Role-playing scenarios at airports, hotels, and tourist attractions - Vocabulary related to travel and cultural experiences Week 5: Socialising and Networking - Discussing personal and professional backgrounds - Participating in group discussions and debates - Practicing active listening and turn-taking in conversations Week 6: Business Communication - Presenting ideas and opinions in a professional setting - Negotiating and persuading effectively - Writing and delivering effective elevator pitches Week 7: Job Interviews and Resume Building - Preparing for job interviews in English - Practicing common interview questions and answers - Crafting a compelling resume and cover letter Week 8: Public Speaking and Presentation Skills - Overcoming public speaking anxiety - Structuring and delivering engaging presentations - Using visual aids and body language effectively Week 9: Cultural Awareness and Non-verbal Communication - Understanding cultural differences in communication - Interpreting body language and gestures - Role-playing cross-cultural scenarios Week 10: Real-life Simulations - Applying all learned skills in real-life scenarios - Group discussions and feedback sessions - Reviewing progress and setting future language goals Note: This syllabus is a guideline and can be customised based on the specific needs and preferences of the participants. You can opt in and out of different modules. 

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

This English for Specific Purposes (ESP) tutoring course is designed to cater to the specific language needs of adult learners in their professional or academic fields. Participants will focus on developing their communication skills in English within their specific area of expertise. Through targeted lessons, practical exercises, and industry-specific materials, learners will enhance their ability to effectively communicate in English within their professional or academic contexts.  Course Duration: 10 weeks (40 sessions) Course Objectives: By the end of this course, participants will: 1. Communicate confidently and effectively in English within their specific field. 2. Expand industry-specific vocabulary and terminology. 3. Develop listening skills to understand specialised language and accents. 4. Enhance reading comprehension skills for professional or academic texts. 5. Write accurately and coherently for specific purposes within their field. Course Outline: Week 1: Introduction and Needs Analysis - Introduction to course objectives, expectations, and ESP methodology - Conducting a needs analysis to identify participants' specific language requirements - Establishing individual learning goals and expectations within their field of expertise Week 2: Speaking Skills for Specific Purposes - Developing effective oral communication skills for professional or academic contexts - Practicing role-plays, presentations, and discussions within participants' fields - Enhancing fluency and confidence in expressing ideas and opinions Week 3: Listening Skills for Specific Purposes - Developing listening skills to understand specialised language, accents, and speech patterns - Authentic listening materials related to participants' field of expertise - Strategies for effective note-taking and comprehension of specialised content Week 4: Vocabulary Expansion within Participants' Field - Expanding industry-specific vocabulary and terminology - Exercises and activities to reinforce and practice specialized vocabulary - Incorporating technical terms and jargon into spoken and written communication Week 5: Reading Comprehension for Professional/Academic Texts - Developing reading skills for professional or academic texts within participants' fields - Strategies for skimming, scanning, and understanding complex texts - Identifying main ideas, supporting details, and summarizing key information Week 6: Writing Skills for Specific Purposes - Improving writing skills for specific purposes within participants' field - Practice exercises for writing reports, proposals, academic papers, etc. - Enhancing clarity, coherence, and professional tone in written communication Week 7: Presentation and Public Speaking Skills - Developing effective presentation skills within participants' field - Techniques for organizing content, engaging the audience, and delivering impactful presentations - Practice sessions with feedback and guidance Week 8: Negotiation and Business Communication Skills - Enhancing negotiation and business communication skills for professional contexts - Role-plays and practical exercises for effective communication in meetings, negotiations, etc. - Polishing language and strategies for successful business interactions Week 9: Cross-Cultural Communication - Understanding cultural nuances and adapting communication styles within participants' field - Developing intercultural communication skills for international professional contexts - Practicing effective communication in multicultural environments Week 10: Review and Final Evaluation - Reviewing course content and addressing individual needs - Comprehensive review exercises for all language skills within participants' field - Final evaluation and feedback session Note: This syllabus serves as a guideline and can be customised based on the specific needs, interests, and proficiency levels of the participants. The course may also include guest speakers or industry-specific field trips to provide further immersion and practical application of language skills.

This English Exam Preparation course is specifically designed for adult learners who are preparing to take an English language proficiency exam, such as IELTS, TOEFL, or Cambridge exams. Participants will focus on developing the necessary skills and strategies to achieve a successful outcome in their chosen exam. Through targeted practice, exam-specific tasks, and personalised feedback, learners will gain confidence and proficiency in all sections of the exam. Course Duration: 12 weeks (48 sessions) Course Objectives: By the end of this course, participants will: 1. Understand the format and requirements of the chosen English language proficiency exam. 2. Develop effective strategies for each section of the exam. 3. Enhance reading, writing, listening, and speaking skills within the context of the exam. 4. Expand vocabulary and improve language accuracy for exam-specific tasks. 5. Practice time management techniques to complete tasks within the allocated time. Course Outline: Week 1: Introduction to the Exam - Introduction to the chosen English language proficiency exam - Overview of the exam format, sections, and scoring criteria - Assessment of participants' current language proficiency and individual learning goals Week 2: Reading Skills and Strategies - Understanding different question types in the reading section - Developing reading skills for comprehension, skimming, and scanning - Practice exercises and strategies to improve speed and accuracy Week 3: Writing Skills and Strategies - Analyzing the writing tasks and requirements of the exam - Developing skills for organising ideas, structuring paragraphs, and coherence - Practice exercises for different writing tasks (essays, reports, letters, etc.) Week 4: Listening Skills and Strategies - Identifying question types and understanding the listening section format - Developing listening skills for main ideas, details, and inference - Practice exercises and strategies for improving listening accuracy and note-taking Week 5: Speaking Skills and Strategies - Understanding the speaking section requirements and assessment criteria - Developing skills for fluency, coherence, and pronunciation - Practice exercises for different speaking tasks (interviews, presentations, etc.) Week 6: Vocabulary Expansion for Exam Tasks - Expanding vocabulary in specific topics and themes relevant to the exam - Practice exercises to reinforce and use new vocabulary effectively - Techniques for deducing meaning from context and using appropriate vocabulary Week 7: Grammar and Language Accuracy - Reviewing and reinforcing essential grammar rules and structures - Identification and correction of common grammar errors in exam tasks - Exercises and activities to improve language accuracy in writing and speaking Week 8: Time Management and Exam Strategies - Strategies for time management and prioritizing tasks during the exam - Practice exercises to improve speed and efficiency in completing tasks - Tips and techniques for maximizing scores in each section Week 9: Mock Exam: Reading and Writing - Simulating a complete reading and writing section of the exam - Timed practice sessions to replicate exam conditions - Detailed feedback and analysis of strengths and areas for improvement Week 10: Mock Exam: Listening and Speaking - Simulating a complete listening and speaking section of the exam - Timed practice sessions to replicate exam conditions - Detailed feedback and analysis of strengths and areas for improvement Week 11: Exam Strategies Review and Practice - Reviewing and reinforcing exam strategies for each section - Targeted practice exercises to address specific challenges and areas of improvement - Individualised feedback and guidance based on participants' performance Week 12: Final Evaluation and Exam Tips - Comprehensive review of all exam sections and strategies - Final evaluation to assess participants' progress and readiness for the exam - Tips for managing test anxiety and mental preparation for the exam Note: This syllabus is a guideline and can be customised based on the specific exam requirements and the needs, interests, and proficiency levels of the participants. The course may also include additional topics or activities to cater to learners' specific goals or areas of focus.

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