3959 Evaluation courses

Level 4 Diploma(FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificates| 220 CPD Points|CPD & CiQ Accredited

Level 3 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Dyslexia Online Training This dyslexia course was designed with meticulous care and research. This dyslexia course will take you to step by step through the entire learning process, making it easy and enjoyable for you. The dyslexia course will teach you about the various types of dyslexia and learning disabilities and how to identify them. This dyslexia course has covered all of the most recent subjects to better prepare you for your dyslexia career. So, why put it off any longer? Join our Dyslexia course today to advance your career. 6 Courses Bundle Are Course 01: Dyslexia Course Course 02: Speech & Language Therapy Course 03: Teaching Assistant Course 04: Primary Teaching Course 05: Autism Course Course 06: Diploma in Child Counselling Dyslexia You can learn how to deal with and cope with dyslexia by using cognitive strategies. This Dyslexia course is broken down into ten modules, each of which teaches you everything you need to know about dyslexia. It will give you the skills and industry information you need to advance your career in the dyslexia profession. <<Course Curriculum>> Module 1: An Overview Module 2: Learning Difficulties Module 3: Impact of Dyslexia in the Educational Setting Module 4: Helping Adults with Dyslexia Module 5: Dyslexia in the Workplace Module 6: Approaches in Dyslexia Module 7: Strengths and Rewards Module 8: Assessment and Evaluation Module 9: Dyslexia-Friendly Learning Environment Module 10: Relevant Law Assessment Method After completing each module, of Dyslexia course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Dyslexia course, you will be entitled to a Certificate of Completion from Training Tale which is completely free to download. Who is this course for? This Dyslexia course is ideal for - Job Seekers Teachers Fresh Graduates Requirements There are no specific requirements for this Dyslexia course because it does not require any advanced knowledge or skills. Certificates Certificate of completion Digital certificate - Included

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

5 QLS Endorsed Course With Certificates | 5-in-1 Bundle | CPD Accredited | Career Guided Program | Lifetime Access

Level 6 Diploma(FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificates| 150 CPD Points|CPD & CiQ Accredited

Level 5 Diploma (FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificate| 150 CPD Points| CPD & CiQ Accredited

FREE Level 7 QLS Endorsed Certificate | 11 CPD Courses+11 PDF Certificate| 150 CPD Points| CPD & CiQ Accredited

Safety controls in engineering are the backbone of any successful and efficient system. As industries push the boundaries of innovation, understanding how to integrate safety measures into engineering processes has become more important than ever. This course dives deep into the principles that govern engineering safety controls, offering a clear pathway to understanding their role in preventing accidents and ensuring smooth operations. The course is tailored to those looking to grasp the critical aspects of safety systems that engineers use daily, from hazard identification to risk assessment and the installation of safety protocols. This course is ideal for individuals keen to enhance their understanding of engineering safety without stepping foot in a physical classroom. It focuses on teaching you the skills and knowledge required to navigate the complexities of safety control systems in various engineering fields. With a focus on industry standards and the practical application of safety principles, you will gain an understanding that could support a range of careers in engineering. Whether you're a beginner or someone looking to formalise your knowledge, this course provides a structured way to advance your expertise in engineering safety controls. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 1: Introduction to Engineering and Work Practice Controls Module 2: Identification and Evaluation of Occupational Hazards Module 3: Engineering Controls Module 4: Work Practice Controls Module 5: Implementation and Maintenance of Control Measures Module 6: Environmental Sustainability and Engineering Controls Module 7: Regulatory Framework and Best Practices Learning Outcomes: Analyse occupational hazards for effective mitigation. Develop and implement robust engineering controls. Foster a culture of safety through optimal work practices. Demonstrate proficiency in control measure maintenance. Integrate environmental sustainability into engineering solutions. Navigate regulatory frameworks and apply industry best practices. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Engineers seeking advanced safety knowledge. HSE professionals enhancing their skill set. Graduates aspiring to enter the safety sector. Industry practitioners upgrading their expertise. Project managers with safety responsibilities. Environmental enthusiasts exploring safety dimensions. Regulatory compliance officers aiming for mastery. Individuals committed to fostering workplace safety. Career path Safety Engineer Environmental Health Officer Risk Assessment Specialist Compliance Analyst Health and Safety Consultant Project Safety Manager Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

To provide the knowledge and skills required to perform an internal audit of part of a occupational health and safety management system based on ISO 45001 and report on the effective implementation and maintenance of the management system in accordance with ISO 19011.