5483 Trainer courses

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

https://www.transmedia.co.uk/course/after-effects-introduction Adobe's industry-standard motion graphics and visual effects software gives you endless options to enhance your videos. Animate film titles that shatter into pieces, turn audio into visual spectrums, or make your characters move in any way. All our Adobe After Effects courses are taught by industry professionals who are also Adobe Certified Professional trainers. They will share years of their industry experience with you and give you the confidence to begin producing compelling animation and sophisticated special effects.

https://www.transmedia.co.uk/course/photoshop-introduction In this course, we'll show you all the essential capabilities of Adobe's iconic image-edting tool. We cover the Photoshop workspace, selection techniques, layers, smart objects, blend modes, filters and many more of the features that you'll benefit from every time you use Photoshop. All our Adobe Photoshop courses are taught by industry professionals who are also Adobe Certified Professional trainers. They will share years of their industry experience with you, imparting best practice techniques as well mastery of the tools. Other topics covered on this course include Interface and navigation, Image basics, Selection techniques, Brushes and erasers, Undoing, Layers, Moving and transforming, Retouching tools, Filters, Text, Colour basics, Vectors and Web graphics.

https://www.transmedia.co.uk/course/adobe-premiere-pro-introduction Adobe Premiere Pro is the industry-leading video editing software. It's used by creatives in every role, from editors working in professional broadcast studios, to social media professionals to in-house marketing departments in private and public sector organisations. Our two day course will teach you everything you need to make a professional start in video editing with Premier Pro. All our Adobe Premiere Pro courses are taught by industry professionals who are also Adobe Certified Professional trainers. They will share years of their industry experience with you, imparting best practice techniques as well mastery of the tools.  Our course includes Key Concepts in Premiere, Starting a Project and Setting up, Editing Overview, the Timeline, Sequences, Transitions, Audio, Titling, Transparency, Effects and Exporting your completed clip.

This is unlike any other leadership programme you’ve ever taken part in – it is all about learning the practicalities of showing up as an emotionally intelligent leader who is trusted, engages effectively, connects well, makes people feel they matter and creates a psychologically safe environment where people can bring their very best contributions to the team and the organisation.

Are you looking to enhance your Train Driver Beginners skills? If yes, then you have come to the right place. Our comprehensive course on Train Driver Beginners will assist you in producing the best possible outcome by mastering the Train Driver Beginners skills. The Train Driver Beginners course is for those who want to be successful. In the Train Driver Beginners course, you will learn the essential knowledge needed to become well versed in Train Driver Beginners. Our Train Driver Beginners course starts with the basics of Train Driver Beginners and gradually progresses towards advanced topics. Therefore, each lesson of this Train Driver Beginners course is intuitive and easy to understand. Why would you choose the Train Driver Beginners course from Compliance Central: Lifetime access to Train Driver Beginners course materials Full tutor support is available from Monday to Friday with the Train Driver Beginners course Learn Train Driver Beginners skills at your own pace from the comfort of your home Gain a complete understanding of Train Driver Beginners course Accessible, informative Train Driver Beginners learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Train Driver Beginners Study Train Driver Beginners in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Train Driver Beginners Course Train Driver Beginners Curriculum Breakdown of the Train Driver Beginners Course Module 01: Introduction to Trainee Train Driving Module 02: Train Driver Licences and Certificates: Key Facts Module 03: Train Driver Required Skills and Attitudes Module 04: Train Driver Application Form Success Module 05: Train Driver Psychometric Test Module 06: Find Success in the Train Driver Interview Module 07: References, Medical Assessment and Training CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Train Driver Beginners course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Train Driver Beginners. It is also great for professionals who are already working in Train Driver Beginners and want to get promoted at work. Requirements To enrol in this Train Driver Beginners course, all you need is a basic understanding of the English Language and an internet connection. Career path The Train Driver Beginners course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Train Driver Beginners. Train Dispatcher/Controller: £25,000 to £45,000 per year Train Operations Manager: £35,000 to £70,000 per year Rail Safety Inspector: £28,000 to £45,000 per year Train Maintenance Technician: £25,000 to £40,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

This IMI qualification is designed for technicians who maintain, diagnose and repair high and low voltage operating systems on electric/hybrid vehicles. It contains the skills and knowledge required to work safely around a vehicles high and low voltage electrical system and electric drive train system, whilst carrying out repairs or maintenance. It also contains the knowledge and skills required to work safely around the vehicle that may have had damage to its high energy/electrical system. On completing this qualification, technicians will have gained knowledge of both low and high voltage technologies and an understanding of their dangers. The content of this qualification has been designed to give learners the knowledge and skills required to work safely around Electric/Hybrid vehicles whilst carrying our diagnostic, testing and repair activities.

Embark on an exciting adventure with our Trail Hunting Course, where we delve into the art of teaching dogs to follow a scent trail of a specific odor in their environment. This course offers the perfect blend of tracking and trailing, honing in on your canine companion's natural instincts.

Highlights of the Course Course Type: Self-Paced Online Learning Guided Learning Hours: 360 Teaching Practice Hours: 100 Accreditation: NCFE Qualification: Nationally Recognised Qualification Study Materials: High-Quality E-Learning Study Materials Certificate: Certificate upon passing the official exam Access: Lifetime Access Tutor Support- Personalised feedback on your all assignments Customer Support: 24/7 live chat available What you will learn from this course? Upon successful completion of this Level 5 Diploma in Education and Training, you will be able to: Include learning strategies, concepts, and models in the design of inclusive classroom instruction and learning Create and maintain a safe, pleasant teaching and learning environment by utilising behaviour control techniques Deliver inclusive instruction and learning utilizing communication and learning theories, ideas, and models Use assessment theories, models, and principles to illustrate how to evaluate learning in training and education Utilise theories and techniques for reflection and assessment, and evaluate one's own approach to planning, executing, and evaluating inclusive teaching and learning Learn how to conduct an initial and diagnostic assessment to determine an individual's earning goals as well as the relationships, roles, and processes that are part of education and training Establish and maintain a safe environment for teaching and learning, as well as how to plan for and carry out inclusive teaching Use theories and models of curriculum creation in your area of expertise and how to use those theories to assess your own methods Recognise professionalism and the influence it has on education and training, as well as the impact of accountability to stakeholders and outside organisations Understand how education and training are governed by policy and support your organisation's attempts to improve quality Level 5 Diploma in Education & Training Online | L5 Diploma This Level 5 Diploma in Education and Training is accredited by NCFE and regulated by Ofqual, making it a nationally recognised credential that will improve your CV and set you apart from the competition. This is the ideal approach for teachers who have already finished levels 3 and 4 or aiming to achieve Qualified Teacher Status (QTLS). This course will help you gain advanced knowledge and skills to lead learning sessions, organise lesson plans, and create teaching and learning strategies. Towards the end of this course, you'll acquire an extensive range of teaching abilities and expertise you need to establish a successful career in the education sector, as well as gain the status to start working as a teacher. Who is this Course for? The following individuals may benefit from this Level 5 Diploma in Education and Training: all types of trainers aspirant teachers teachers of all levels teacher trainers teachers wishing to achieve Qualified Teacher Status (QTLS) teachers wishing to improve their instructional abilities teachers wishing to enhance their employment prospects Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Eligibility Requirements This Level 5 Diploma in Education and Training has no academic prerequisites and is open to students from all academic disciplines.  Assessment Procedure Upon successful completion of this Level 5 Diploma in Education and Training, you will be evaluated by a series of assignments that the instructors of the course will internally construct and grade. This strategy will give students more confidence to ace the exam because it precisely represents the content taught in class and fits the teaching methodology being used. "Pass" represents the qualification's overall grade Each item included in the qualification framework must be completed by the student For a student to pass a unit, they must demonstrate their understanding of each unit by achieving all of the listed learning outcomes and meeting all of the evaluation criteria Assignment Submission For each portion of the diploma, you are required to submit a number of assignments each weighing about 1000-2000 words. Product evidence requirements, such as lesson plans, teaching resources, and other pertinent paperwork, must also be accompanied by some of these assignments. Assignments should incorporate theory and establish connections to actual workplace or classroom circumstances in order to convey pertinent arguments. These assignments will aid in your exploration and application of the entire teaching and learning cycle. If more work is needed, your instructor will offer feedback and the chance to resubmit assignments. Practical Teaching Assessment There must be a minimum of 8 observations, each lasting at least 8 hours. This excludes any observed practice that was completed as a component of the Level 3 Award in Education and Training. A minimum of 30 minutes must pass between each observation. This witness evidence must be given by a teacher who possesses the necessary qualifications. In extraordinary circumstances, we may also set up a video link with your tutor to finish these observations. The eight observations must relate to the following essential units: Education and training teaching, learning, and evaluation (level 4) Enhancing education and training through teaching, learning, and assessment (level 5) No previous experience is required to enrol into this course. However, you must complete 100 hours of in-class teaching experience throughout the course of the program to receive your completion certificate. Your practical teaching demonstration will need to be observed by an expert witness who has a level 5 diploma in education and training. For an extra charge of £250 + VAT for 8 hours, if you'd prefer, we can assist you by providing an expert witness.  Advance Your Career This Level 5 Diploma in Education and Training will provide you with significant opportunities to enter the relevant job market and select your desired career path. Additionally, by showcasing these skills on your resume, you will be able to develop your career, face more competitors in your chosen sector, and increase your level of competition. This course will also allow you to acquire the required skills to work towards achieving the Qualified Teacher Status and progress to Bachelor of Arts (BA) or Bachelor of Science (BSc).  If you are looking for a Level 4 Certificate in Education and Training, enrol into our affordable and highly informative course, which will open your door towards a wide range of opportunities within your chosen sector.  This Level 5 Diploma in Education and Training is accredited by NCFE and regulated by Ofqual. The National Council for Educational Awarding (NCFE) is a national educational awarding body that is well-known and respected throughout the world, which will improve your prospects of finding employment and showcase your professional growth. Course Curriculum Course Overview Course Overview - Level 5 Diploma in Education and Training 00:00:00 Sample Useful Documents Observation Recording Requirements. 00:15:00 Session Plan Pro-Forma 00:15:00 Sample Portfolio Building Record Sheets 00:15:00 Sample Graded Observation Pro-Forma 00:15:00 Lesson 1: Roles Responsibilities of Teachers in Education Learning Lesson 1: Roles Responsibilities of Teachers in Education Learning 00:45:00 Lesson 2 : Pedagogical Principles Theory and Practice Lesson 2 : Pedagogical Principles Theory and Practice 00:40:00 Lesson 3 : Functional Skills and the Minimum Core Lesson 3 : Functional Skills and the Minimum Core 00:40:00 Lesson 4 : Planning in Education and Learning Lesson 4 : Planning in Education and Learning 00:30:00 Lesson 5 : Selecting, Creating and Using Resources Lesson 5 : Selecting, Creating and Using Resources 00:30:00 Lesson 6 : Augmenting Communication through Teaching Strategies Lesson 6 : Augmenting Communication through Teaching Strategies 00:30:00 Lesson 7 : The Assessment Process Lesson 7 : The Assessment Process 00:30:00 Lesson 8 : Managing Learners Lesson 8 : Managing Learners 00:30:00 Lesson 9 : Professionalism and Continued Professional Development Lesson 9 : Professionalism and Continued Professional Development 00:25:00 Lesson 10 : Developing Designing Curriculum Lesson 10 : Developing Designing Curriculum 00:28:00 Lesson 11 : The Professional Practice Quality Management Lesson 11 : The Professional Practice Quality Management 00:26:00 Lesson 12 - Developing, Using and Organising Resources in a Specialist Area Lesson 12 - Developing, Using and Organising Resources in a Specialist Area 00:30:00 Additional Resource Additional Resource - Level 5 Diploma in Education and Training 04:00:00 Assignment - Mandatory Units Assignment 1: Developing Teaching, Learning and Assessment in Education and Training Assignment 1 - Developing Teaching, Learning and Assessment in Education and Training 00:00:00 Assignment 2: Teaching, Learning and Assessment in Education and Training Assignment 2 - Teaching, Learning and Assessment in Education and Training 00:00:00 Assignment 3: Theories, Principles and Models in Education and Training Assignment 3 - Theories, Principles and Models in Education and Training 00:00:00 Assignment 4: Wider Professional Practice and Development in Education and Training Assignment 4 - Wider Professional Practice and Development in Education and Training 00:00:00 Assignment 5: Develop Learning and Development Programmes Assignment 5 - Develop Learning and Development Programmes 00:00:00 Assignment 6: Identify the Learning Needs of Organisations Assignment 6 - Identify the Learning Needs of Organisations 00:00:00 Assignment 7: Internally Assure the Quality of Assessment Assignment 7 - Internally Assure the Quality of Assessment 00:00:00 Assignment 8: Understanding and Managing Behaviours in a Learning Environment Assignment 8 - Understanding and Managing Behaviours in a Learning Environment 00:00:00 Assignment 9: Understanding the Principles and Practices of Internally Assuring the Quality of Assessment Assignment 9 - Understanding the Principles and Practices of Internally Assuring the Quality of Assessments 00:00:00 Assignment 10: Working with Individual Learners Assignment 10 - Working with Individual Learners 00:00:00 Feedback Feedback 00:00:00

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies