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Being a leader can take you into vulnerable places - the unfamiliar, high expectations and high visibility, with everyone looking to you for guidance in the big moments. It is natural for doubts to creep in, including the echoes of past knock-backs, put-downs, pressures, stereotyping and internalised oppression.
Aftereffects face to face training customised and bespoke.
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Learn how you can manage your stress with your breath. bring calm, focus and energy to your daily life.
Course Duration: 8 weeks (40 sessions) Course Objectives: By the end of this course, participants will: 1. Communicate effectively and confidently in English in various contexts. 2. Expand vocabulary and improve grammar usage. 3. Develop listening skills to understand a variety of accents and speech patterns. 4. Enhance reading comprehension skills for different types of texts. 5. Write accurately and coherently for different purposes. Course Outline: Week 1: Introduction and Assessment - Introduction to course objectives, expectations, and immersion techniques - Assessing participants' current English proficiency levels - Establishing individual learning goals and expectations Week 2: Speaking and Listening Skills - Developing conversational skills through role-plays, pair work, and group discussions - Listening activities to improve comprehension of different accents and speech speeds - Pronunciation drills and practice for accurate and fluent speech Week 3: Vocabulary Expansion - Building a wide range of vocabulary through contextualised exercises and activities - Strategies for effective vocabulary acquisition and retention - Vocabulary practice in various themes and topics Week 4: Grammar Review and Practice - Reviewing essential grammar structures and rules - Practice exercises and activities for applying grammar rules in context - Error correction and clarification of common grammar mistakes Week 5: Reading Comprehension - Developing reading skills through authentic texts, articles, and short stories - Strategies for improving reading speed and comprehension - Identifying main ideas, supporting details, and inferred meanings Week 6: Writing Skills - Improving writing skills for different purposes: emails, letters, reports, etc. - Practice exercises for organizing ideas, structuring paragraphs, and coherent writing - Peer editing and feedback for enhancing writing proficiency Week 7: Real-Life Simulations - Simulating real-life situations such as job interviews, meetings, and social interactions - Role-plays and interactive activities for practical application of language skills - Building confidence and fluency in using English in authentic contexts Week 8: Review and Final Evaluation - Reviewing course content and addressing individual needs - Comprehensive review exercises for all language skills - Final evaluation and feedback session Note: This syllabus serves as a guideline and can be customised based on the specific needs, interests, and proficiency levels of the participants. The course may also include cultural immersion activities and field trips to enhance the language learning experience. You can opt in and out of different modules.
This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds
This course will enable registered Nurses, Midwives and AHPs to effectively supervise pre-registration students in clinical placement.
You may be required to bring a model with you to this course. Part 1: Lash lift & tint A fully comprehensive course to teach the natural eyelashes lash lift treatment. Training includes all Anatomy, Physiology, Theory and practical work necessary to create beautifully lifted lashes, that look longer, thicker and more dramatic. It is often said that the eyes are the windows to the soul, and it is for this reason that women have paid close attention to how they are presented for centuries. This course will teach you about the technique, products and tools used to provide a professional Lash Lift and Tint treatment and includes a practical training session and assessment. Part 2: Lamination Brow Brow lamination realigns brow hairs into a new shape adding fullness and definition which can last up to 2 months. This course will teach you about the technique, products and tools used to provide a professional Brow lamination treatment and includes a practical training session and assessment. Includes: 2 Hard copy take home training manuals. Duration – Fast track one day practical classroom-based training plus online theory work. Theory work to be completed in your own time via The Guild student portal before your practical course date. Practical day – 10am-6pm. It is advisable that students arrive 15 mins early to ensure a prompt start. In a lot of cases the practical training can be finished earlier than expected depending on how many students there are, and the time taken on practical work. Widely recognisable and insurable qualification, allowing you to deliver this treatment on the paying general public. Class size - Maximum 8 students in a class