42803 Learning courses in Bradford delivered Online

CPD Accredited, Interactive Short Course 2 hr session Do you know what a heart attack or a stroke really is? Would you know what to do to ensure the best possible outcome? Course Contents: How the Heart Functions (overview) Coronary Arteries and Collateral Circulation Atherosclerosis Angina Pectoris Myocardial Infarction (Heart Attack) Treatments and First Aid Treatments Stroke Haemorraghic Stroke, Ischaemic Stroke, Transient Iscaemic Attacks Signs & Symptoms of strokes First Aid Treatment Risk Factors for Angina, Heart Attacks and Strokes Benefits of this Short Course: Learning from home is a good way to keep one's skills and knowledge up to date Over 900,000 people in the UK live with heart failure In the UK, there are more than 100,000 hospital admissions each year due to heart attacks There are also more than 100,000 strokes in the UK each year Would you know what to do to save their life? You can make a huge difference, so join our webinar to find out how

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Diploma in Education and Training (DET) qualification is a recognised teaching qualification leads to QTLS status. This is a PGCE equivalent qualification which is full 120 QCF Credit value. Formerly this course used to called Level 5 Diploma in Teaching in the Life Long Learning (DTLLS) course. This course is suitable for trainers, teachers, and tutors who intend to work or already working in further education, university, training centre, college, adult and community learning or work-based training within public, private, community organisations or voluntary sectors.

Who is this course for? Newly qualified teachers, teaching assistants, learning support assistants   What will be covered? learning and progress working memory & long-term memory how we learn strategies for making sure pupils learn using assessment effectively feedback and progress using prompt, structure interventions

Introduction to Mental Health and Learning Disability in Primary Care (2-Day Course)This course is designed for Nurse Associates, Practice Nurses, Nurse Practitioners (NP's), Emergency Nurse Practitioners (ENP's), Paramedics, and Pharmacists who aim to enhance their knowledge and skills in mental health and learning disability care within the primary care setting.Day 1: Mental HealthLearning Objectives:1. Understand the concept of mental health and its importance in overall well-being.2. Identify common mental health disorders, their signs, symptoms, and risk factors.3. Explore different approaches to mental health assessment and diagnosis.4. Learn evidence-based interventions for various mental health conditions.5. Develop effective communication skills when interacting with individuals experiencing mental health challenges.6. Gain knowledge of available resources and support systems for mental health.Introduction to Performing Annual Reviews for Mental Health Patients:- Understand the significance of performing annual reviews for individuals with mental health conditions.- Explore the assessment tools and methods required for annual reviews in mental health.- Begin to develop skills in conducting annual reviews for mental health patients.Day 2: Learning DisabilitiesLearning Objectives:1. Define learning disabilities and recognize their impact on individuals' lives.2. Identify common types of learning disabilities, their characteristics, and associated challenges.3. Understand the importance of early detection and screening for learning disabilities.4. Learn strategies for supporting individuals with learning disabilities in various settings.5. Explore the rights and legislation related to individuals with learning disabilities.6. Enhance communication and collaboration skills when working with individuals with learning disabilities.Introduction to Performing Annual Reviews for Learning Disability Patients:- Understand the significance of performing annual reviews for individuals with learning disabilities.- Learn the specific assessment tools and methods required for annual reviews in learning disabilities.- Begin to develop skills in conducting annual reviews for learning disability patients.Join us for this informative and interactive 2-day course via Zoom, led by Dr. Tamara Cunningham, and equip yourself with the knowledge and skills necessary to provide comprehensive care for individuals with mental health and learning disability conditions in a primary care setting.

This course will start by giving you an overview of some of the common types and causes of learning disabilities and how they affect people. It will touch on how a person centred approach to care will get the best results and look at how management must perform, and at the needs of the individual. I will also discuss overcoming the stigma attached to learning disabilities and much more.

This qualification is made up of one mandatory and one optional unit. There are 2 x 1 day workshops that will help develop knowledge of the principles, theories and practices in Learning and Development The course is aimed at practitioners such as tutors, trainers, assessors and quality assurers who want to develop their skills and knowledge in their own area of learning delivery. You will meet other practitioners who are responsible for process, people or practice within Learning and Development. You will get to share good practices and ideas for improvement and will be able to apply these in your workplace. You will be expected to carry out research, complete assignments and implement change in your organisation, with the mentoring support of our Learning Advisor.

The IOSH Working Safely® E-Learning course includes learning materials to the whole IOSH Working Safely® course, which includes: Part one: Introducing working safely Part two: Defining hazard and risk Part three: Identifying common hazards Part four: Improving safety performance

Certificate in Business and Commercial Law (CBCL) - Virtual Learning Why Attend This course is designed for professionals with little or no prior legal background but who are required to make organizational decisions involving legal matters. It will provide participants with the fundamental principles of commercial law, including commercial contracts and negotiation, sale of goods, intellectual property rights and employee relations. It also covers all the legal aspects of setting up a business, running a business and closing a business Participants will gain an in-depth understanding of international commercial law with emphasis on the common law system. Participants will have the opportunity to learn and analyze key legal issues regarding contracts and the business as a whole which they are likely to encounter within their organization.  Course Methodology In this interactive training course participants will frequently work in pairs as well as in larger groups to complete exercises as well as regional and international case studies. Course Objectives By the end of the course, participants will be able to: Apply legal rules and principles to specific commercial situations through consideration of relevant case law Negotiate commercial contracts complying with commercial and legal requirements Increase profitability within their organization by selecting appropriate methods of distribution of goods Recognize and analyze how intellectual property rights affect their organization Evaluate and modify organizational employment practices complying with labor law requirements Target Audience This course is suitable for those with little or no formal training in commercial law yet would be required to understand the fundamentals of commercial law as it may directly impact their work. It will particularly benefit directors and executives who have direct responsibility for legal decisions within the organization. In-house council new to the region, and those working within a legal department, will also find this course highly beneficial. Target Competencies Drafting Contracts Contract Negotiation Understanding Commercial Terms Understanding Employment Law Implementing Organizational Employment Practices Understanding Intellectual Property Understanding corporate restructuring Understanding the effect of breach of commercial contract terms Note The Dubai Government Legal Affairs Department has introduced a Continuing Legal Professional Development (CLPD) programme to legal consultants authorised to practise through a licensed firm in the Emirate of Dubai. We are proud to announce that the Dubai Government Legal Affairs Department has accredited EMG Associates as a CLPD provider. In addition, all our legal programmes have been approved. This PLUS Specialty Training Legal course qualifies for 4 elective CLPD points. Overview of commercial & business law Areas of commercial and business law Types of commercial contracts Commercial contracts in the civil law and common law systems Sources of English law Civil law v Common law Civil law in the GCC Formalities for a binding contract Elements required for an enforceable contract Rules for contract interpretation implied terms v express terms identifying risks and how to minimise risks Structure of a commercial contract Preliminary documents in international transactions Memorandum of Understanding/ Heads of Terms. Are they legally binding? Commercial implications Boilerplate/ miscellaneous provisions- the important but forgotten clauses- beware! Force majeure v Frustration Notices Set off No waiver Entire Agreement/ non- reliance clause Times is of the essence Assignment v Novation Governing law Common mistakes in choice of law Jurisdiction clause Exclusive v Non-exclusive Factors in deciding the jurisdiction clause International dispute resolution Litigation Importance of Alternative Dispute Resolution (ADR) Arbitration Mediations Conciliation Negotiation Remedies for breach of contract Damages Specific performance Injunctions Advantages and disadvantages of different business forms Types of business vehicles Sole trader Partnerships Limited Liability Partnerships Companies Cross Border Transactions Distributorship Agency Joint Venture Acquisitions Share purchase v Business purchase Apportioning risks and liabilities through warranties and indemnities Negotiating warranties and indemnities Corporate insolvency Tests identifying insolvency Consequence for directors who fail to react to insolvency Types of insolvency Administration Receivership Creditor Voluntary Liquidation Compulsory Liquidation Commercial Tort Tort of negligence Defamation Libel Slander Recent case law on defamation Managing risk Prevention is better than cure: Effective risk management Intellectual Property Rights management Types of Intellectual Property copyright trademark patent design rights confidential information Assignment v Granting a license The law of passing off Intellectual Property in the GCC Employment law issues in the common law systems and the GCC Types of employment contracts Grounds for dismissal Wrongful dismissal Redundancy Unfair dismissal Commercial real estate in the GCC Leasehold Freehold

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts 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. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.