Portable App Marketing (ASO) Certification Hoping to build up a cool portable application for your business? Versatile applications are utilized by billions of clients from one side of the planet to the other and are an incredible method to contact your intended interest group. Versatile applications are fun and simple to utilize, while giving schooling or data simultaneously. The extension for business showcasing utilizing portable applications is incredible. In any case, creating and advertising your very own portable application is more difficult than one might expect. The video seminar on creating portable applications covers various significantly important subjects, from composing your own code to tips on the most proficient method to draw in clients and how to get clients to adore your application. What's Covered in the Course? A portion of the helpful things that you'll learn in this video course include: The best techniques for the individuals who wish to build up their own application and highlight it on Apple App Store or Google Play Store for download; The best stages that you ought to consider highlighting your application on; Solid approaches to dispatch your application and how to recognize issues; The contrasts between dispatching your application on iOS or Google Play; The most effective method to acquire income through promotions, and how to settle on free and paid choices; Various approaches to adapt your application, including adverts and the whale adaptation system; The most effective method to distinguish watchwords for higher traffic and rank profoundly on application stores; The most effective method to build client commitment and hold clients back from uninstalling the application; The most effective method to help keep clients from uninstalling the application; The most effective method to utilize Mobile Action instrument to streamline your application, gain clients and dissect download assessments; The most effective method to accomplish great surveys and increment meeting lengths, by adding recordings, text content, adverts, visit, and so on The most effective method to get clients to continue to utilize your application routinely, and how to get your application to turn into a web sensation. This video course offers the accompanying advantages The advantages of the course include: Quicker and better client commitment; Knowledge of showcasing apparatuses like Mobile Action; Demonstrated and viable showcasing and positioning techniques for your application.
DATE: 31st January TIME: 4pm LOCATION: Studio A Our Greta Gerwig season continues with this adaptation of Louisa May Alcott's classic, Little Women. Set in 1860s Massachusetts, the film follows the story of the four March sisters, young ladies coming into their adulthood whilst dealing with familial poverty and their place in a patriarchal landscape. Featuring an all-star cast including Saoirse Ronan, Florence Pugh, Emma Watson, Laura Dern, Timothee Chalamet, Meryl Streep and Bob Odenkirk, the sophomore release of Gerwig's filmography will make you laugh, cry and punch the air with excitement.
How To Set Up Progressive Training Routines? All the training routine is between 8 - 15 minutes and designed to getting better and stronger in the basic movements! Weekly New Routines are coming! How do beginners Should use kettlebells? - SAFETY - QUALITY - REGULARITY - PROGRESSIVE SYSTEM - MAKE THE FOUNDATION STRONG Beginners should have to use kettlebells carefully always! Safety first every time and not only with kettlebell training! Focus on the quality of the movements! Without correct techniques there is no progress and easy to get injuries! Regular practice! To get adaptation need to practice at least 2 - 3 times a week! Need to follow a progressive system to get progress! Adaptation is happening with regular practice what makes the basic stronger and easier to step to the next level! Here you can find 5 FREE kettlebell training routine following by StrongFirst system! These routines will build stronger basic, builds strength fast and safe! FREE KETTLEBELL TRAINING ROUTINES TO BUILD STRONGER FOUNDATION! Welcome to the course! Welcome to this free training routines! How to use it? Next Steps... The foundation Builder Kettlebell Routine 1 Get Stronger Foundations For Kettlebell Training Kettlebell Strength Builder For Beginners Foundation Builder 2 / Dead lift - swing - squat Progression to Turkish Get Up Progress to Turkish Get Up 2 Strength Booster single Kettlebell routine Kettlebell Arms and chest builder routine! 5 Mistakes what you shouldn't do with kettlebells About this course Free 10 lessons 1.5 hours of video content
Discover the vital link between finance and climate change in the Accountant's Guide to Climate Change. In today's rapidly evolving business landscape, understanding and addressing climate change are imperative for accountants. This course delves into crucial aspects, from emerging business trends to sustainable investing and governmental regulations. The course guides accountants through the complexities of climate impacts, providing an actionable plan. The main problem it solves is the lack of expertise in integrating climate considerations into financial practices. By completing this course, professionals gain the skills to navigate the evolving environmental landscape, ensuring financial resilience and responsible practices. By enrolling, participants benefit from a comprehensive understanding of climate-related challenges. This knowledge empowers accountants to contribute to a sustainable future, aligning financial strategies with global goals. The course offers practical insights into the circular and zero-carbon economies, sustainable investing, and technological solutions. It is a transformative learning experience, equipping accountants to proactively address climate issues in their professional roles. By enrolling, you're not just learning; you're gaining the tools to make your financial decisions climate-smart. Join us to make a positive impact on the planet while enhancing your career prospects. Enroll now and explore the financial dimensions of environmental responsibility. Learning Outcomes Understand current climate change business trends impacting financial landscapes. Analyse the principles of the circular and zero-carbon economies. Evaluate the role of sustainable investing in financial decision-making. Recognise the influence of people, values, and technology in climate strategies. Interpret government policies and regulations affecting financial practices. Develop strategies for climate adaptation and mitigation in financial contexts. Create an accountant's action plan for addressing climate-related challenges. Appraise the perspectives of accounting institutes on climate change responsibilities. Apply knowledge to address diverse impacts, including on habitats and populations. Summarise the key takeaways in closing remarks for effective implementation. Why choose this Accountant's Guide to Climate Change course? Accountants seeking to integrate climate considerations into financial practices. Finance professionals aiming to understand and navigate sustainable investing. Business leaders committed to aligning financial strategies with environmental goals. Graduates entering the finance sector interested in climate-resilient practices. Environmental enthusiasts with an interest in the financial aspects of climate change. Who is this Accountant's Guide to Climate Change course for? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Career Path Climate-conscious Accountant: £40,000 - £60,000 per annum. Sustainability Analyst: £35,000 - £50,000 per annum. Environmental Financial Consultant: £45,000 - £70,000 per annum. Corporate Social Responsibility Manager: £50,000 - £75,000 per annum. Financial Policy Advisor on Climate Change: £55,000 - £80,000 per annum. Prerequisites No prior qualifications or experience are necessary to enrol in the Accountant's Guide to Climate Change. This professionally crafted course is compatible with PCs, Macs, tablets, and smartphones, allowing flexible learning anytime, anywhere, provided there is a reliable internet connection. Certification Upon completion of the Accountant's Guide to Climate Change course materials, a written assignment test is available for £4.99. Successfully passing the test enables you to obtain a downloadable PDF certificate, with the option to order an original hard copy certificate for an additional £8. Course Curriculum Accountant's Guide To Climate Change Module 01: Introduction and Agenda 00:05:00 Module 02: Climate Change Business Trends 00:02:00 Module 03: The Circular Economy 00:03:00 Module 04: The Zero Carbon Economy 00:03:00 Module 05: Sustainable Investing 00:04:00 Module 06: The Power of People and Values 00:04:00 Module 07: Business as a Force for Change 00:05:00 Module 08: New Technological Solutions 00:04:00 Module 09: Government Policy and Regulation 00:04:00 Module 10: Climate Adaptation 00:03:00 Module 11: People and Habitats on the Move 00:02:00 Module 12: Other Impacts of Climate Change 00:11:00 Module 13: The Accountant's Action Plan 00:07:00 Module 14: What the Accounting Institutes are saying 00:03:00 Module 15: The Accountant's Guide to Climate Change: Closing Remarks 00:02:00
Description Ethology Diploma What are the factors that determine animal behaviour? What does their behaviour have to do with their survival? What are the reasons behind their behavioural development and adaptation, and why do they do it? These are thought-provoking questions for any wildlife enthusiast or animal lover. The Ethology Diploma course explores the science of animal behaviour, either in captivity or in their usual habitat. The Ethology Diploma course will examine how animals connect with their environment, especially in aspects such as socialization, aggressiveness, behavioural change with time, mating, and internal factors that influence an animal's actions (including genetic factors) as a reaction to its environmental interaction or both. The Diploma course starts with an overview of Ethology, its importance, ethologists' roles, and the discipline's history. The Ethology Diploma course analyzes the basis for behavioural patterns due to natural selection, environment, and genetics. The learners will study communication, altruism, and cooperation between social creatures and the benefits these behaviours provide to specific animals and their groups. In addition, the course explores the varying nature of sexual reproduction among different animal groups and how dominance, repellence, and attractiveness differ among them. The students will also learn about the concept of learning and its use in human reproduction and social welfare. The Ethology Diploma course investigates how humankind has impacted animal conservation and how ethology might help. Individuals with enthusiasm for animals and wildlife will greatly enjoy the Diploma course in Ethology. The learners will come across various questions and answers regarding animal behaviours, thus bringing themselves closer to nature and fellow distant relatives. Suppose one works as a caretaker of animals or seeks to build a deeper understanding of animals. In that case, this Ethology Diploma course is the ideal way to begin the journey to becoming an expert in the field. What you will learn⯠1: Animal Behaviour History 2: Tinbergen's Contributions 3: Moths and Bats 4: Sensing and Responding 5: The development of behaviour 6: Learning 7: Signals 8: Behavioural Ecology 9: Collective Behaviour 10: Applying behaviour Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.
Professional Certificate in Leadership Practices In An Organisational Context critically explores the leadership function and its impact on an organisation. The learner will be able to appreciate important concepts and considerations concerning leadership practice in an organisation. After the successful completion of this lecture, you will be able to understand the following: Styles of management and leadership. Influence of leadership on an organisation. Impact of leadership style on strategic decisions. The situation led adaptation of management and leadership styles. Leadership at different business stages. This course provides a fundamental understanding of the role of leadership practice in an organization. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Leadership Practices In An Organisational Context Self-paced pre-recorded learning content on this topic. QUIZ: Leadership Practices In An Organisational Context Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course.The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and gets updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Strategy Specialist Human Resource Manager Training Manager Talent Manager People Development Specialist Learning and Development Manager Average Completion Time 2 Weeks Accreditation 1 CPD Hour Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.
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
Explore the intricate world of Climate Science in this comprehensive course. From understanding the historical context of Anthropocene to dissecting the greenhouse effect and global warming, delve into topics like extreme weather events, ocean-climate interactions, and the nexus between climate change and energy systems. Equip yourself with insights into agriculture, health, and mitigation strategies, while mastering effective communication and advocacy. Uncover the complexities of global climate policy, international cooperation, and future scenarios. Join us to unravel the science behind Earth's climate change and be a catalyst for positive environmental change.
Level 4- Two Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access