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Watch back our launch webinar for Grow: a new CPD programme created for EAL teachers by EAL teachers!

Try Grow with this taster session! We've extracted a snippet of module 1 to give you a flavour for how our CPD programme works. Give it a try! Comprehensive, inclusive and accessible CPD for EAL teaching – designed for all educators.   At FlashAcademy®, we believe in a whole-school approach to EAL teaching, empowering every educator to contribute to the success of multilingual learners.  Our CPD programme provides:  Practical knowledge and evidence-based strategies. Resources to reflect, refine, and grow your school’s EAL provision. Actionable tools designed by experienced teachers and EAL specialists who understand the challenges of teaching multilingual learners. With real-life context learning, you’ll gain the skills to deliver impactful teaching and help your EAL students thrive.  About Grow with FlashAcademy®  Developed in collaboration with EAL Inclusive, we have created a comprehensive CPD journey for educators. Whether you’re new to EAL or looking to refine your strategies, Grow with FlashAcademy® offers flexible, on-demand learning.  What’s included?  A blend of video lessons, interactive content and a downloadable reflection journal. On-demand access via Cademy so you can learn at your own pace. Expert virtual drop-in sessions to connect with EAL specialists and ask your questions. Modules designed for practical implementation in schools. Why Grow with FlashAcademy®?  The challenge  EAL coordinators and practitioners often highlight the growing gap in whole-school teaching support for EAL provision. With budget constraints shifting responsibility to classroom teachers, the need for accessible, high-quality CPD has never been greater.  The solution  Grow with FlashAcademy® bridges this gap by offering a blend of online training and expert-led support. Developed with insights from leading EAL experts, our programme addresses the challenges schools face today. We’re creating meaningful change to equip educators with the tools they need to succeed.  Programme tiers We have created three tiers, you can purchase just one tier or a mix depending on your existing knowledge and requirements. Tier 1: Foundations of EAL pedagogy  Tier 2: Advanced pedagogy and assessment (Coming in 2025)  Tier 3: Whole-school systems and strategy (Coming in 2025)  Each tier includes 6 modules (60–90 minutes each), providing over 18 hours of evidence-based CPD.  How it works  1) Learn  Complete each module at your own pace. We recommend completing two modules per term to allow time for the following steps. 2) Reflect  Use the downloadable reflection journal to evaluate your learning and its impact. 3) Implement  Trial strategies in your classroom. 4) Connect  Join one live virtual drop-in session per tier to ask an EAL expert for advice and support.  Meet the experts  Our network of passionate EAL practitioners are ready to support your journey with actionable insights and proven strategies. These experts are an integral part of our mission to drive wider change in EAL provision.  Speakers in this tier include:  Anna Leaman, EAL Specialist and Director, EAL Inclusive. Anna is our programme leader, she'll be your guide throughout the programme. Chris Woodhams, Assistant Campus Principal, OneSchool Global. Soofia Amin, Assistant Head Teacher and Specialist Lead in Education for Multilingualism at Kensington Primary. Ready to get started?  Enrol in Grow with FlashAcademy®. Start building your expertise and refining your school’s EAL action plan today. 

This on-demand webinar explores the significant, yet often overlooked, connection between EAL (English as an Additional Language) and student wellbeing in an international context.

The Fire Warden awareness training is designed to give in-depth fire training that every employee requires. This course can be delivered in your workplace anywhere in the Liverpool area. Our Fire Warden Training covers the role of the designated fire marshal. It also gives you the opportunity to learn about the different types of fire extinguisher and how to use them correctly.

FAW, EFR, First Aid, CPR, HSE First Aid At Work

IELTS 7+ Band with 5 STAR INSTITUTE,  Best IELTS Preparation Institute in Islamabad and Rawalpindi. Every Monday a new batch of classes starts. Morning, Afternoon, and Evening time classes are available. The time duration of this course is 1 month, after the Preparation for the IELTS, It will be Institute's responsibility to register you for the exams.  The time duration of the class is one & half hours. In a month there are 2 seminars are also held in our Institute. One is with the British Council and one is with a Consultant, to facilitate the student about the further plan. You can see our previous student's results videos on Youtube Channel. Just write there. 5-STAR INSTITUTE ISLAMABAD and subscribe to our Youtube channel.  Our Previous student record is most of the students get 7+ Band. Listening Reading Writing Speaking Let's come and join us. Regard If you want to check our institute. Write on Google. 5 STAR INSTITUTE ISLAMABAD.  You can come to our Institute through Google Maps easily. You can watch the different student's IELTS videos on our YouTube channel. Just write there. 5 STAR INSTITUTE ISLAMABAD 

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

Make a willow lantern for our Christmas Lights switch on!