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.
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.
The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).
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 speciï¬c commercial situations through consideration of relevant case law Negotiate commercial contracts complying with commercial and legal requirements Increase proï¬tability within their organization by selecting appropriate methods of distribution of goods Recognize and analyze how intellectual property rights aï¬ect 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 beneï¬t 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 ï¬nd this course highly beneï¬cial. 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 Aï¬airs Department has introduced a Continuing Legal Professional Development (CLPD) programme to legal consultants authorised to practise through a licensed ï¬rm in the Emirate of Dubai. We are proud to announce that the Dubai Government Legal Aï¬airs Department has accredited EMG Associates as a CLPD provider. In addition, all our legal programmes have been approved. This PLUS Specialty Training Legal course qualiï¬es 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 oï¬ 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: Eï¬ective 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
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
Designed for professional singing teachers, coaches & choir leaders.Every Vocal Process voice training resource this century, for less than the price of one singing lesson Working with the singer in the room Teachers have different technical approaches, but how do you put that into practice with the individual singer in the room? We give you a framework for understanding and diagnosis of each student. Done-for-you Lesson Plans, diagnosis & vocal troubleshooting Webinars, SOVT 2 (ADVANCED) making it practical for individual singers, understanding what is meant by a voice problem and what you can do to help The multi-genre teacher - teaching different music styles Most of us now work in multiple genres even if we've only been trained in one. How do we best serve our students? Which techniques can we use and how do we analyse different performance styles and sounds? Learn about musical style envelopes and performance energy in Mastering Musical Theatre. Discover new tools for changing style, shaping resonances & finding comfort zones in Best Practice Update. You've got this! Techniques for CCM singers, belters and recording artists Want to know what any recording artist is doing? We're experts at analysing and teaching CCM sounds, whether you want to find them in your own way or sing in a cover band. Both of us have coached live in studio recordings and worked online with touring artists. We've included our sellout Belting Explained resource, based on teaching successful belting courses to non-belters for 20 years Only available in the Learning Lounge 250+ videos divided into eighteen targeted resources. Professional development training on chest voice, head voice, troubleshooting range and breathing, finding your own voice, auditions and competitions and so much more. Get a free personalised CPD Certificate for each Webinar More than 600 online videos & resources The Learning Lounge Level 2 Deep Dive contains our training resources from the last 22 years. All of our professional development Webinars, all of our voice training DVDs, all of our vocal endoscopy videos, all of our lesson plans, and even the long-deleted Singing and the Actor Audio Guide! Scroll down to see the Learning Lounge Curriculum and to preview some of the resources Only available in the Learning Lounge See/hear/experience what we do, with 60+ videos taken from our four bestselling voice training DVDs. We're including endoscopy footage of the techniques, the step-by-step processes we use with our clients, and bonus group coaching and breakout sessions With updated notes for 2023
CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.
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.
This one-day Suicide First Aid training course gives learners the knowledge and tools to understand that suicide is one of the most preventable deaths and some basic skills can help someone with thoughts of suicide stay safe from their thoughts and stay alive.