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Course Overview The DeepSeek Masterclass: A Complete DeepSeek Zero to Hero! provides a comprehensive exploration of the DeepSeek AI ecosystem, designed to guide learners from fundamental understanding to advanced applications. This course equips individuals with the knowledge to navigate the capabilities of DeepSeek across various domains such as software development, business analysis, and education. Whether you're looking to stay current in a rapidly evolving technological landscape or explore how AI transforms diverse sectors, this course offers a structured pathway. By the end of the programme, learners will be able to understand DeepSeek’s architecture, apply its tools across multiple contexts, and critically evaluate its potential within both technical and professional settings. Course Description This course delves into the foundational principles and progressive applications of DeepSeek, starting from basic concepts in artificial intelligence through to its tailored use in education, business, and software environments. Learners will explore how to configure and interpret DeepSeek outputs, understand the structure of AI decision-making, and evaluate its integration across various workflows. Key modules address the needs of developers, educators, students, and professionals seeking efficient AI-driven solutions. Throughout the course, learners will be introduced to scenario-based uses of DeepSeek, helping them build a contextual understanding of its functions. The curriculum is designed to support strategic thinking, digital literacy, and informed adoption of AI tools in both academic and professional environments. Course Modules Module 01: Getting Started Module 02: Foundations of Artificial Intelligence (AI) Module 03: Setting up DeepSeek AI for Beginners Module 04: DeepSeek for Software Developers Module 05: DeepSeek for Business Professionals Module 06: DeepSeek Smart Solutions for Students Module 07: The Power of DeepSeek Module 08: DeepSeek for Teaching Professionals (See full curriculum) Who is this course for? Individuals seeking to build an informed understanding of DeepSeek and AI. Professionals aiming to implement AI solutions within their field. Beginners with an interest in artificial intelligence and its uses. Educators, students, and technologists exploring innovative learning and working tools. Career Path AI Integration Analyst Business Intelligence Associate Education Technology Consultant Software Solution Strategist Digital Transformation Specialist AI Literacy Educator

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

Train the Trainer - Part 2 Course Overview: "Train the Trainer - Part 2" is designed for individuals who wish to elevate their training and presentation skills to the next level. This course offers in-depth guidance on how to maintain participant engagement, ensure clarity, and use effective communication techniques. Learners will explore advanced strategies for building rapport with their audience, refining their delivery style, and ensuring their messages are understood. By the end of this course, learners will be equipped with the tools to create more dynamic and impactful training sessions, fostering a deeper level of understanding and retention among participants. Course Description: This course delves into essential training strategies that enhance delivery and participant involvement. Learners will explore techniques for keeping the audience engaged, presenting material in a way that aids comprehension, and using non-verbal cues such as body language and tone to reinforce their message. The course covers strategies to help learners follow along, assess their understanding, and improve retention. By examining these core aspects, participants will develop advanced skills for delivering clear and memorable training. Upon completion, learners will be able to create a more effective learning environment and be prepared to engage with diverse audiences across various training settings. Train the Trainer - Part 2 Curriculum: Module 01: Introduction Module 02: Keep Them Engaged Module 03: Help Them Follow Along Module 04: Ensure They Understand Module 05: Use Effective Body Language and Tone (See full curriculum) Who is this course for? Individuals seeking to improve their training and presentation skills. Professionals aiming to enhance their teaching effectiveness. Beginners with an interest in becoming a more effective trainer. Anyone looking to engage audiences more effectively in a training environment. Career Path: Corporate Trainer Training and Development Specialist Learning & Development Coordinator Public Speaker Instructional Designer

Build your confidence, fluency & accuracy with an individual ESL Book Club in English using a simplified, shortened and adapted novel. Highlights Join this individual ESL book club course to quickly improve your English confidence, fluency & accuracy 3 hours of live 1:1 English classes to help you develop your confidence in speaking in English Read a section of the book at home and then discuss what you have read Learn English 1:1 & be corrected by your private English teacher to remove errors and mistakes Build your confidence, skills and accuracy in this individual ESL book club in English course. Choose one of the books from the selection below. These books are shortened, simplified and adapted for learners of English as a foreign language. There are also language learning exercises and a short glossary of new words. Each week you read about 20-30 pages, write a summary of what you have read, and then discuss what you have read with your teacher Geoff. Personalised feedback improves your grammar, vocabulary and pronunciation. The Book Club book Individual ESL Book Clubs are flexible and can be taken on the following simplified and shortened "graded reader" books. Contact Geoff to agree a day and time, then enrol on the course. Intermediate (B1) Austen, Jane - Emma (Oxford Bookworms) Austen, Jane - Persuasion (Oxford Bookworms) Austen, Jane - Sense and Sensibility (Penguin Readers) Brontë, Emily - Wuthering Heights (Penguin Readers) Christie, Agatha - Death on the Nile (Collins English Readers) Christie, Agatha - The Body in the Library (Collins English Readers) Conan Doyle, Arthur - Sherlock Holmes: The Hound of the Baskervilles (Oxford Bookworms) Dickens, Charles - A Tale of Two Cities (Penguin Readers) Dickens, Charles - David Copperfield (Penguin Readers) Dickens, Charles - Great Expectations (Penguin Readers) Dickens, Charles - Oliver Twist (Penguin Readers) Hardy, Thomas - Far From The Madding Crowd (Penguin Readers) Hardy, Thomas - Tess of the D'Urbervilles (Penguin Readers) Hawkins, Paula - The Girl On The Train (Penguin Readers) Highsmith, Patricia - The Talented Mr Ripley (Penguin Readers) Joyce, James - Dubliners (Penguin Readers) Joyce, Rachel - The Unlikely Pilgrimage of Harold Fry (Penguin Readers) Le Carré, John - The Spy Who Came In From The Cold (Penguin Readers) Shelley, Mary - Frankenstein (Penguin Readers) Tóibín, Colm - Brooklyn (Penguin Readers) Upper-Intermediate (B2) Austen, Jane - Sense and Sensibility (Oxford Bookworms) Asimov, Isaac - I, Robot (Oxford Bookworms) Brontë, Emily - Wuthering Heights (Oxford Bookworms) Christie, Agatha - The ABC Murders (Collins English Readers) Christie, Agatha - Evil Under The Sun (Collins English Readers) Collins, Wilkie - The Woman in White (Penguin Readers) Dick, Philip K - Do Androids Dream of Electric Sheep? (Oxford Bookworms) Evaristo, Bernardine - Girl, Woman, Other (Penguin Readers) Fitzgerald, F. Scott - The Great Gatsby (Oxford Bookworms) Gyasi, Yaa - Homegoing (Penguin Readers) Hardy, Thomas - Far From The Madding Crowd (Oxford Bookworms) Kerouac, Jack - On the Road (Pearson English Readers) Mansfield, Katherine - The Garden Party (Oxford Bookworms) McEwan, Ian - The Children Act (Penguin Readers) Melville, Herman - Moby Dick (Penguin Readers) Orwell, George - 1984 (Penguin Readers) Puso, Mario - The Godfather (Penguin Readers) Smith, Zadie - White Teeth (Penguin Readers) Stevenson, RL - The Strange Case of Dr Jekyll and Mr Hyde (Pearson English Readers) Wharton, Edith - The Age of Innocence (Oxford Bookworms) Woolf, Virginia - Mrs Dalloway (Penguin Readers) Upper-Intermediate + (B2+) Austen, Jane - Pride and Prejudice (Oxford Bookworms) Brontë, Charlotte - Jane Eyre (Oxford Bookworms) Conan Doyle, Arthur - Sherlock Holmes: The Sign of Four (Oxford Bookworms) Flaubert, Gustave - Madame Bovary (Pearson English Readers) Gaskell, Elizabeth - North and South (Pearson English Readers) Garland, Alex- The Beach (Pearson English Readers) Hardy, Thomas - Tess of the D'Urbervilles (Oxford Bookworms) Tan, Amy - The Joy Luck Club (Oxford Bookworms) Geoff says: "This is a great way to start reading more in English, to build your confidence, to focus on your needs and language, and to make fast progress."

One to One English Book Club. Practise and develop your English online in this individual English book club course.

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Course Overview The Italian Language Course for Beginners offers an exciting introduction to the Italian language, designed to build a strong foundation in communication skills for everyday use. This course covers essential vocabulary, pronunciation, grammar, and conversational phrases, allowing learners to engage confidently in basic Italian dialogues. Through a structured and accessible approach, it provides valuable linguistic and cultural knowledge that can enhance travel experiences, support personal enrichment, or broaden career opportunities. Learners will benefit from step-by-step lessons that gradually develop listening, speaking, reading, and writing abilities. By the end of the course, participants will have gained the competence to hold simple conversations, understand common expressions, and navigate everyday situations with ease. Whether pursuing a personal passion or preparing for future opportunities, this course equips learners with essential Italian language skills that can be applied in various social, educational, and professional contexts. Course Description This comprehensive Italian Language Course for Beginners guides learners through the foundational elements of Italian in an engaging and supportive environment. Covering a range of topics from everyday greetings and basic sentence structure to practical vocabulary and common expressions, the course ensures a balanced development of communication skills. Participants will explore pronunciation techniques, grammatical rules, and essential conversational scenarios relevant to travel, dining, shopping, and social interactions. Lessons are carefully designed to foster gradual progression, enabling learners to build confidence as they advance. Interactive activities and real-world examples enhance understanding and retention, while cultural insights provide additional depth to the learning experience. By the conclusion of the course, learners will possess a strong entry-level proficiency in Italian, capable of managing simple conversations and understanding key aspects of the language. This course is ideal for those seeking to expand their linguistic abilities and cultural knowledge within a structured, beginner-friendly framework. Course Modules Module 01: Lesson 1 Module 02: Lesson 2 Module 03: Lesson 3 Module 04: Lesson 4 Module 05: Lesson 5 Module 06: Lesson 6 Module 07: Lesson 7 Module 08: Lesson 8 Module 09: Lesson 9 (See full curriculum) Who is this course for? Individuals seeking to learn Italian for travel, relocation, or cultural interest. Professionals aiming to add basic Italian language skills to enhance career prospects. Beginners with an interest in European languages and cultures. Students preparing for further language study or international education opportunities. Language enthusiasts wishing to expand their multilingual abilities. Career Path Customer Service Representative in international companies Hospitality and Tourism Sector Roles Administrative Support in multinational organisations Language Teaching Assistant (Entry-level) Cultural Exchange Programme Coordinator

Create Videos, Motion Graphics and Animation Using Canva Course Overview: This course, Create Videos, Motion Graphics and Animation Using Canva, is designed to introduce learners to the world of digital video creation and animation using Canva, a powerful and intuitive design tool. The course covers key aspects such as video editing, motion graphics creation, and animation, providing learners with the skills to create dynamic visual content. By the end of the course, learners will be equipped with the knowledge to design professional-quality videos, motion graphics, and animations, applicable to a variety of industries and purposes. Whether for personal or professional projects, this course will empower learners to craft engaging content and enhance their creative output. Course Description: This course offers a comprehensive exploration of video creation, motion graphics, and animation using Canva. It introduces learners to the Canva video editor, teaching how to create engaging videos, animate elements, and add motion graphics to enhance visual storytelling. The course focuses on the foundational tools of Canva, including templates, effects, and animation features, allowing learners to experiment with creative projects. Through a combination of practical exercises, the course helps learners develop a strong understanding of visual content creation. Upon completion, learners will be able to produce professional-quality videos, motion graphics, and animations for various platforms, boosting their digital content skills and enhancing their design portfolio. Create Videos, Motion Graphics and Animation Using Canva Curriculum: Module 01: Create Videos, Motion Graphics and Animation Using Canva Module 02: Start Using the Canva Video Editor Module 03: Final Tasks (See full curriculum) Who is this course for? Individuals seeking to enhance their video and animation skills. Professionals aiming to improve their digital content creation abilities. Beginners with an interest in video editing and motion graphics. Content creators looking to expand their skill set in visual storytelling. Career Path: Video Editor Motion Graphics Designer Animator Digital Content Creator Social Media Manager

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