1246 AI courses in Cardiff delivered Live Online

Sharing & Networking - Legacy marketing plans around Hospice UK's national campaign Session aimed at legacy fundraisers and marketers THIS SESSION WON'T BE RECORDED

CPD Accredited, Interactive Short Course 2 hr session Make sure that everyone knows what to do in case a member of staff or the public gets an asthma attack Better still, learn how to prevent an asthma attack from occurring in the first place! Course Contents What is asthma How many people have asthma How it affects a person's lungs The severity of the condition Triggers for an asthma attack Signs & Symptoms of an asthma attack Medication First Aid for a person having an asthma attack What it is like to live with asthma Benefits of this Short Course: In the UK, 5.4 million people (12.35% of the population) have asthma, 200,000 severely. Every day, three of those people die from an asthma attack Every 20 minutes, someone is admitted to hospital due to their asthma, and every 8 minutes, that is a child Learning from home is a good way to keep one's skills and knowledge up to date With the knowledge you'll pick up from this course, you could potentially save someone's life!

Duration 2 Days 12 CPD hours This course is intended for This course is intended for Business Leaders, including managers/supervisors in the following roles: Developer Architect Video Operator Overview In this course, you will learn to: Articulate the essential terms and concepts fundamental to video compression and distribution Describe the four fundamental stages of video streaming workflows: ingest, process, store and deliver Explain the importance of security in the AWS Cloud and how it is applied in video streaming workflows Analyze video streaming workflow diagrams using AWS services, based on simple to complex use cases Describe some of the key variables that influence workflow decisions Recognize how other AWS services for compliance, storage, and compute, interact with AWS Media Services in video streaming workflows and the functions they perform Describe strategies to test or prototype workflows to mitigate risk and cost impacts and optimize video streaming workflows Use the AWS Management Console to build and run simple video streaming workflows for live and video-on-demand content Recognize the automation and data analytics available for Media Services when used with AWS AI and explore media-specific use cases for these services Identify the next steps in exploring migration to the cloud for one or more Media Services This course covers the media and cloud fundamentals that will empower you to develop a cloud migration strategy for media workflows in support of business goals. The course covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for AWS Media Services. It also introduces security, artificial intelligence, and analytics concepts to help you consider how AWS Media Services fit into your overall cloud strategy. Module 1: Important video concepts Video Metrics Video Compression Video Distribution Major Protocols Used in Video Streaming Module 2: Anatomy of streaming workflows Ingest Process Store Deliver Module 3: Using AWS services in media workflows video-on-demand (VOD) Introduction to AWS Media Services Security Variables Impacting Workflow Design VOD Simple Use Cases VOD Advanced Use Cases Lab 1: Build and run a simple video streaming workflow for VOD content Module 4: Using AWS services in media workflows live streaming Challenges of Live Streaming Live Streaming Simple Use Cases Live Streaming Advanced Use Cases Lab 2: Build and run a simple video streaming workflow for live content Module 5: Optimizing Workflows Cost Considerations Mitigating Risk Monitoring and Automation Exploring Migration Options Additional course details: Nexus Humans AWS Media Essentials for IT Business Decision Makers training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AWS Media Essentials for IT Business Decision Makers course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

This module aims to develop knowledge and understanding of the exporting process used in international trade from novice to practitioner. It includes documentation, incoterms, responsibilities of an exporter, commodity codes, origin and duties and taxes.

RQF level 1 Awareness of Safeguarding The RQF Level 1 Awareness of Safeguarding course is designed to provide individuals with a basic understanding of safeguarding principles and practices. It aims to raise awareness about the importance of safeguarding and promote the well-being and protection of vulnerable individuals, such as children, young people, and adults at risk. The course covers the following topics: Introduction to Safeguarding: Definition and importance of safeguarding. Key legislation, policies, and guidance related to safeguarding. Roles and responsibilities of individuals and organizations in safeguarding. Types of Abuse and Neglect: Overview of different types of abuse, including physical, emotional, sexual, and financial abuse. Recognizing signs and indicators of abuse and neglect. Understanding the impact of abuse on individuals' well-being. Vulnerable Groups: Identifying vulnerable groups, such as children, young people, older adults, and individuals with disabilities or mental health issues. Understanding the specific safeguarding concerns and considerations for each group. Reporting and Responding to Safeguarding Concerns: Procedures for reporting safeguarding concerns or disclosures. Understanding the importance of maintaining confidentiality and handling sensitive information appropriately. Responding to safeguarding concerns in a timely and appropriate manner. Promoting Safeguarding and Preventing Abuse: Strategies for promoting a safe and inclusive environment. Recognizing potential risk factors and implementing preventative measures. Understanding the importance of creating a culture of safeguarding within organizations. Multi-Agency Collaboration: Collaboration between different agencies and organizations involved in safeguarding, such as social services, law enforcement, and healthcare. Sharing information and working together to ensure effective safeguarding practices. Case Studies and Scenarios: Reviewing case studies and scenarios to apply safeguarding principles and practices. Analysing potential safeguarding dilemmas and decision-making processes. Personal Responsibilities: Recognizing personal boundaries and limitations when working with vulnerable individuals. Understanding the importance of self-care and managing emotional well-being when dealing with safeguarding issues. It is important to ensure that the course meets local safeguarding guidelines and requirements. Suitability - Who should attend? The RQF Level 1 Awareness of Safeguarding course is suitable for a wide range of individuals who may come into contact with vulnerable individuals or have a general interest in understanding safeguarding principles. Here are some key groups of people who should attend the course: Employees and Staff: The course is relevant for employees and staff members across various sectors and industries, including but not limited to education, healthcare, social services, hospitality, sports and recreation, and community organizations. It helps them develop a basic understanding of safeguarding principles and their responsibilities in ensuring the well-being and protection of vulnerable individuals they may encounter in their work. Volunteers: Individuals who volunteer their time and services in organizations that work with vulnerable individuals should attend the course. It equips them with essential knowledge and awareness of safeguarding issues, helping them provide appropriate support and maintain the safety and dignity of those they interact with. Parents and Caregivers: The course can benefit parents, guardians, and caregivers by providing them with a foundation in safeguarding principles. It helps them recognize potential risks and signs of abuse or neglect, enabling them to create safer environments for the children or vulnerable individuals under their care. Community and Youth Workers: Individuals involved in community work, youth organizations, or youth clubs should attend the course to enhance their understanding of safeguarding. It enables them to promote the well-being and safety of young people and recognize signs of potential abuse or exploitation. Volunteers or Trustees of Charitable Organizations: Individuals serving as volunteers or trustees in charitable organizations that work with vulnerable populations can benefit from the course. It helps them fulfill their responsibilities in safeguarding the individuals the organization serves and ensures they are aware of their legal and ethical obligations. General Public: The course is open to the general public as it provides valuable knowledge and awareness of safeguarding principles. It can benefit individuals who have an interest in understanding the rights and protection of vulnerable individuals in society. It's important to note that the RQF Level 1 Awareness of Safeguarding course provides foundational knowledge and awareness. For individuals who require more in-depth training or who have specific safeguarding roles or responsibilities, higher-level courses may be more suitable. Outcome / Qualification etc. Certification The qualification does not have an expiry date but refresher training and keeping up to date with changes to policies, procedures and new legislation through ongoing CPD is vital. Training Course Content Module 1 Introductions Module 2 Safeguarding legislation and guidance Module 3 Roles and responsibilities Module 4 Abuse and neglect Module 5 Identifying concerns and disclosure Module 6 Making judgements Module 7 Reporting concerns Module 8 Course closure and assessment MODULE 1 INTRODUCTIONS Session content Trainer/Assessor introduction Learner introductions Course syllabus Learning outcomes and assessment criteria Session duration 20 minutes MODULE 2 SAFEGUARDING LEGISLATION AND GUIDANCE Session content Introduction to safeguarding Definitions Assessment framework Safeguarding statistics Safeguarding legislation and guidance Rights of a child/adult at risk Session duration 40 minutes MODULE 3 ROLES AND RESPONSIBILITIES Session content Safeguarding partnerships Local authority safeguarding officer Social care services Multi-agency safeguarding hubs Organisational safeguarding policies Safeguarding lead Session duration 30 minutes MODULE 4 ABUSE AND NEGLECT Session content Definitions Types of abuse and neglect Physical abuse Emotional abuse Sexual abuse Neglect Signs and indicators Parent/carer abuse Radicalisation FGM Forced marriage Modern slavery County line gangs Electronic media abuse - Internet and social networking dangers Session duration 50 minutes MODULE 5 IDENTIFYING CONCERNS AND DISCLOSURE Session content Identifying concerns Being a point of disclosure Recording disclosure information Session duration 20 minutes MODULE 6 MAKING JUDGEMENTS Session content Child development needs Identifying a safeguarding concern Group activity making judgements Session duration 30 minutes MODULE 7 REPORTING CONCERNS Session content Silencing factors Barriers to raising concerns Reporting concerns Importance of sharing concerns Session duration 20 minutes MODULE 8 COURSE CLOSURE AND ASSESSMENT Session content Course summary Assessment paper Course evaluation Course closure Session duration 30 minutes Course delivery details Qualification delivery The qualification has 4 assigned guided learning hours (GLH) and 5 hours total qualification time (TQT). GLH indicates the number of classroom contact hours that the learner will undertake. TQT includes GLH but also takes into account any unsupervised learning and is an estimate of how long the average learner will take to complete the qualification. The minimum classroom contact time of 4 hours should be delivered over a minimum of half a day. The course can be spread over a maximum of 2 weeks, ensuring that each session is a minimum of two hours. The class ratio for this qualification is a maximum of 16 learners to 1 Trainer/Assessor Why choose Madeleys First Aid Plus Founded in 2021 after Louise left 30 years in the NHS as an Advanced practitioner in A&E/ITU, had spent 1.5 years in Covid ITU Won FSB Best start-up business in the West Midlands in May 2023 Now trained 100's of delegates in Physical and Mental Health First Aid Expenses Travel costs and lunch required, there are many cafes and sandwich bars here in Much Wenlock to buy your lunch, you may eat it in the training room. All training material, books, qualification certificates are included in the price Continuing Studies The RQF Level 1 Awareness of Safeguarding course serves as an introductory course that provides individuals with a basic understanding of safeguarding principles. While it is a standalone qualification, individuals who complete the course may choose to progress further in their safeguarding training and education. Here are some potential progression options: RQF Level 2 Award in Safeguarding: This qualification builds upon the knowledge gained in the Level 1 course and provides a more comprehensive understanding of safeguarding principles, policies, and procedures. It covers topics such as risk assessment, responding to safeguarding concerns, and effective communication in safeguarding contexts. Specialized Safeguarding Courses: Individuals who wish to focus on specific areas of safeguarding can pursue specialized courses related to their field of interest. These courses may include Child Protection, Adult Safeguarding, Domestic Abuse Awareness, Online Safety, or Safeguarding in Healthcare. Specialized courses delve deeper into the specific risks, regulations, and best practices associated with safeguarding vulnerable individuals in those particular contexts. Safeguarding Training for Specific Professions: Many professions have specific safeguarding training requirements tailored to their sector. For example, teachers may need to complete safeguarding training specific to the education setting, healthcare professionals may have training focused on safeguarding vulnerable patients, and social workers may have specialized safeguarding training in line with their role. Progression may involve undertaking profession-specific safeguarding courses or qualifications. Safeguarding Leadership and Management Training: Individuals in supervisory or managerial positions may consider pursuing training that focuses on the leadership and management aspects of safeguarding. This can include courses on developing and implementing safeguarding policies and procedures, managing safeguarding incidents, conducting internal investigations, and providing guidance and support to staff. Continued Professional Development (CPD): Engaging in ongoing CPD activities is essential for staying updated with the latest developments in safeguarding practices and policies. Individuals can attend conferences, workshops, or seminars related to safeguarding, child protection, or specific areas of interest within the field. This allows for continued learning and networking with other professionals. Higher Education: Individuals who wish to pursue a more in-depth study of safeguarding can consider higher education programs in social work, psychology, criminology, or related fields. These programs provide comprehensive knowledge and training in safeguarding practices, policies, and research. They may lead to professional certifications or degrees that enhance career opportunities in safeguarding roles. It's important for individuals to research and explore progression options that align with their specific career goals, interests, and local requirements. Different countries or regions may have varying certification or training requirements for safeguarding roles, so it's advisable to check with relevant regulatory bodies or professional associations for specific guidance.

LOOKING FOR: ADULT FICTION / NON-FICTION Ciara McEllin is building her list as a Junior Agent at Watson Little. She reads widely across book club, upmarket and literary fiction. Within these areas, she is drawn to novels that examine family and relationship dynamics, sexuality, identity, and vulnerability. Ciara is keen to hear from writers who take a fresh approach to these themes, whether that be a new perspective on a traditional narrative or a focus on characters and voices that remain underrepresented: think Kairos by Jenny Erpenbeck, Asymmetry by Lisa Halliday or Monkey Grip by Helen Garner. She will always want to read beautifully written novels with a strong sense of place, tangible characters and an essence that stays with you – living deep in your bones – long after you’ve finished reading. Recent reads Ciara has enjoyed include: Lonesome Dove by Larry McMurtry, Enter Ghost by Isabella Hammad, Close to Home by Michael Magee, Siblings by Brigitte Reimann, Trespasses by Louise Kennedy, The Idiot by Elif Batuman, Highway Blue by Ailsa McFarlane and My Phantoms by Gwendoline Riley. At the moment Ciara is particularly eager to see: - Sexy, sensual and seductive stories that explore desire and sexual boundaries not often represented in literature such as Little Rabbit by Alyssa Songsiridej, Cleanness by Garth Greenwell and Mrs. S by K Patrick - An atmospheric and existential thriller in the vein of Intimacies by Katie Kitamura, In The Cut by Susanna Moore and Drive Your Plow Over the Bones of the Dead by Olga Tokarczuk - An intoxicating coming of-age-tale that captures the aliveness, intelligence and wildness of girlhood like Brutes by Dizz Tate, The Virgin Suicides by Jeffrey Eugenides and The Girls by Emma Cline - Books that are joyful or brutal, particularly those that are both, similar to Headshot by Rita Bullwinkel, Kick the Latch by Kathryn Scanlan and Small Things Like These by Claire Keegan - Stories exploring an Australia or Ireland that is rarely seen in literature for example A Loving, Faithful Animal by Josephine Rowe and Wild Houses by Colin Barrett In non-fiction, Ciara enjoys narrative, memoir and essay collections. She is interested in hearing from experts, academics, critics and journalists writing about society, culture and food, and excited by writers seeking to revise, reshape or revolutionise the conversation in their area of expertise. Some of her favourite non-fiction titles include How To Survive A Plague by David France, The Transgender Issue by Shon Faye, the Living Autobiography Series by Deborah Levy, Last Witnesses: Unchildlike Stories by Svetlana Alexievich, King Kong Theory by Virginie Despentes; and she particularly enjoys the work of M.F.K Fisher, Annie Ernaux, Natalia Ginsburg and Helen Garner. Ciara is not looking for Children’s, YA or Fantasy. Ciara would like you to submit a covering letter, 1 -2 page synopsis and the first 5,000 words of your completed manuscript in a single word document. (In addition to the paid sessions, Ciara is kindly offering one free session for low income/under-represented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print).  By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Thursday 8th May 2025

Inspiring, interactive and unique 4-hour CPD certified training on Communication and Co-production with Parents/Carers

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

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Building Recommendation Systems with Python (TTAI2360) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.