12622 Courses

The Cambridge First Certificate in English (FCE) represents the third level examination of the “Cambridge in English for Speakers of Other Languages” classification and it is equivalent to a B2 (Upper Intermediate) level from the Common Framework for European languages. FCE Exam Registration The FCE exams are held on a monthly basis, and if interested, Castleforbes College will provide you with all the necessary information and preparation for the exam. All FCE exams are arranged in external certified centres located in Dublin.

Embark on a transformative 7-day journey with Suzanne J Lawson, a seasoned health and wellness coach. Kickstart your daily 20-minute exercise routine and gain insights into your nutritional needs for overall health and well-being. Join us for Tone & Transform, a home workout and healthy eating program designed for women's health.

Scottish Gaelic Beginner Conversation Course for online learners worldwide.

Artificial Intelligence (AI) is the most disruptive technology since the internet came onto the scene. AI is transforming every aspect of how we manage projects from developing a business case, to planning the work, managing risk, and tracking performance. Because the technology and market are moving so fast, it can be difficult to know how to start using AI on projects. Generative AI for Project Management will engage you with diverse Generative AI tools to start, plan, and manage either your own project or a generic case study. We will embrace a tool agnostic approach to adopting, integrating, and scaling Generative AI without compromising data or trust. You will have hands-on practice utilizing AI tools to optimize your time and your outcomes. You will be accessing a variety of AI tools requiring you to register for a free account. A computer is required for all traditional classroom deliveries. None At the end of this program, you will be able to: Define essential terms and concepts related to artificial intelligence (AI) Illustrate how prompts facilitate interaction with Generative AI Recognize the capabilities of Large Language Models Craft prompts to develop project origination documents Create prompts to assist in planning a project Develop user stories with Generative AI Analyze project performance using Generative AI Identify the limitations of Generative AI Identify the risks associated with using Generative AI Articulate the need for governance and ethics when establishing an AI program in an organization Course Overview Getting Started Foundation Concepts Understanding essential terms and concepts related to AI Exploring various Generative AI Models Understanding Prompts Creating Prompts for Project Startup Prompts for starting a project Prompts for planning a project Best Practices for prompt engineering Creating Prompts for Managing Projects Creating agile user stories Measuring project performance Analyzing a schedule Using Generative AI Responsibly Limitations of AI Models Establishing an AI governance framework Future trends and next steps Summary and Next Steps

Nigel Reed, The Dog Guardian is hosting a series of seminars revealing his easy-to-follow method for a happy and well-behaved dog.

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

Date: 31st October Time: 4pm Location: Studio A A classic of the horror genre and 1970s cinema, The Exorcist focuses on a battle of wills between a troubled priest and the demon possessing a young girl. William Friedkin's masterpiece of terror is one of the essential scary films everyone needs to see.

Date: Wednesday 1st November Time: 3pm Location: Classroom 2 We are pleased to invite The Mandy Network to come and speak to all of our students about the services they provide, and how their website can help with casting and networking for your films. Offering a safe, professional manner for creative individuals to connect with one another, this is an essential event for any actors, filmmakers and future creatives to attend and learn from.

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.

DATE: Thursday 15th August TIME: 5pm ONLINE LINK: https://meet.google.com/gim-fphv-jqo?authuser=0&hs=122 Join us for our online Film Quiz as we knock through questions on classics, horror, westerns, sci-fi and much more. Do you know your directors from your DOPs? Who won more Oscars, De Niro or Day-Lewis? Join us on the day and find out what you know, and what you have space to learn. Kicking off at 5pm and featuring a variety of different categories, come try your hand at demonstrating your cinematic knowledge!