3066 Exercises courses

Definitive SRv6 course description This one day SRv6 training course is a condensed, intensive program designed to provide network professionals with a fast-track introduction to SRv6 (Segment Routing over IPv6). SRv6 is a revolutionary networking technology that combines the power of IPv6 with the flexibility of Segment Routing, enabling efficient and scalable network operations. In just one day, participants will gain essential knowledge and practical skills to understand, configure, and work with SRv6 in modern network environments. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer equipment. What will you learn Explain packet paths when implementing SLB. Explain how SRv6 works. Explain the difference between SR and SRv6. Implement SRv6. Troubleshoot SRv6. Definitive SRv6 course details Who will benefit: Network engineers, architects, and administrators who want to quickly grasp the fundamentals of SRv6 and its practical applications in their network. Prerequisites: Definitive Segment Routing for engineers Duration 1 day Definitive SRv6 course contents Introduction to SRv6 What is SRv6? Source based routing, difference between SR-MPLS and SRv6. IPv6 headers review, routing headers. SRv6 simplified solution. Hands on Enabling IPv6 in the legacy network. SRv6 transport Segment Routing Extension Header. SRv6 segment identifiers. End SID, End.X SID. ISIS distribution of SIDs. Header processing in a SRv6 topology. Locators. Hands on Configuring SRv6 transport. Analysing SRv6 operation. SRv6 services End.DT4 SID, End.DT6 SID. SRH encapsulation modes: Insert and Encap modes. SRv6 TE policy. Hands on Migrating to SRv6, TI-LFA protection. Micro loop avoidance. SRv6 integration with 'older' technologies MPLS. The role of iBGP and eBGP v6 sessions. Hands on Integration with legacy network. Troubleshooting SRv6 SRv6 ping and traceroute. Hands on: Used throughout the course during exercises.

This English Exam Preparation course is specifically designed for adult learners who are preparing to take an English language proficiency exam, such as IELTS, TOEFL, or Cambridge exams. Participants will focus on developing the necessary skills and strategies to achieve a successful outcome in their chosen exam. Through targeted practice, exam-specific tasks, and personalised feedback, learners will gain confidence and proficiency in all sections of the exam. Course Duration: 12 weeks (48 sessions) Course Objectives: By the end of this course, participants will: 1. Understand the format and requirements of the chosen English language proficiency exam. 2. Develop effective strategies for each section of the exam. 3. Enhance reading, writing, listening, and speaking skills within the context of the exam. 4. Expand vocabulary and improve language accuracy for exam-specific tasks. 5. Practice time management techniques to complete tasks within the allocated time. Course Outline: Week 1: Introduction to the Exam - Introduction to the chosen English language proficiency exam - Overview of the exam format, sections, and scoring criteria - Assessment of participants' current language proficiency and individual learning goals Week 2: Reading Skills and Strategies - Understanding different question types in the reading section - Developing reading skills for comprehension, skimming, and scanning - Practice exercises and strategies to improve speed and accuracy Week 3: Writing Skills and Strategies - Analyzing the writing tasks and requirements of the exam - Developing skills for organising ideas, structuring paragraphs, and coherence - Practice exercises for different writing tasks (essays, reports, letters, etc.) Week 4: Listening Skills and Strategies - Identifying question types and understanding the listening section format - Developing listening skills for main ideas, details, and inference - Practice exercises and strategies for improving listening accuracy and note-taking Week 5: Speaking Skills and Strategies - Understanding the speaking section requirements and assessment criteria - Developing skills for fluency, coherence, and pronunciation - Practice exercises for different speaking tasks (interviews, presentations, etc.) Week 6: Vocabulary Expansion for Exam Tasks - Expanding vocabulary in specific topics and themes relevant to the exam - Practice exercises to reinforce and use new vocabulary effectively - Techniques for deducing meaning from context and using appropriate vocabulary Week 7: Grammar and Language Accuracy - Reviewing and reinforcing essential grammar rules and structures - Identification and correction of common grammar errors in exam tasks - Exercises and activities to improve language accuracy in writing and speaking Week 8: Time Management and Exam Strategies - Strategies for time management and prioritizing tasks during the exam - Practice exercises to improve speed and efficiency in completing tasks - Tips and techniques for maximizing scores in each section Week 9: Mock Exam: Reading and Writing - Simulating a complete reading and writing section of the exam - Timed practice sessions to replicate exam conditions - Detailed feedback and analysis of strengths and areas for improvement Week 10: Mock Exam: Listening and Speaking - Simulating a complete listening and speaking section of the exam - Timed practice sessions to replicate exam conditions - Detailed feedback and analysis of strengths and areas for improvement Week 11: Exam Strategies Review and Practice - Reviewing and reinforcing exam strategies for each section - Targeted practice exercises to address specific challenges and areas of improvement - Individualised feedback and guidance based on participants' performance Week 12: Final Evaluation and Exam Tips - Comprehensive review of all exam sections and strategies - Final evaluation to assess participants' progress and readiness for the exam - Tips for managing test anxiety and mental preparation for the exam Note: This syllabus is a guideline and can be customised based on the specific exam requirements and the needs, interests, and proficiency levels of the participants. The course may also include additional topics or activities to cater to learners' specific goals or areas of focus.

This course uses Azure PowerShell to automate tasks and manage Azure Cloud services with ease. The course is intended to help people learn Azure concepts quickly and give enough practice exercises to get them started with their cloud journey with a specific focus on Microsoft Azure and task automation.

Project Management Foundation (PM Foundation™): On-Demand PM Foundation™ provides a comprehensive introduction to the fundamentals of project management based upon PMI®'s A Guide to the Project Management Body of Knowledge (PMBOK® Guide). Dynamic and interactive, the course has an easy-to-use interface and includes a real-world video case study and exercises that run throughout the course to ensure increased retention of learning. Initiating Planning Executing Monitoring and Controlling Closing

The purpose of this course is to describe the principles and procedures of Hazard and Operability (HAZOP) Studies. HAZOP is a structured and systematic technique for examining a defined system, with the objective of: Identifying potential hazards in the system. The hazards involved may include both those essentially relevant only to the immediate area of the system and those with a much wider sphere of influence, e.g. some environmental hazards; Identifying potential operability problems with the system and in particular identifying causes of operational disturbances and production deviations likely to lead to nonconforming products. An important benefit of HAZOP studies is that the resulting knowledge, obtained by identifying potential hazards and operability problems in a structured and systematic manner, is of great assistance in determining appropriate remedial measures. The course is designed using the tools and techniques identified by IEC 61882:2016. LEARNING OUTCOMES By the end of this course you will understand how to: prepare for a HAZOP study meeting and programme – including defining the scope of the study and choosing the team choose nodes (parts of the drawings or operation for HAZOP study) estimate the programme requirements for the successful completion of a study use facilitation techniques to motivate the team and keep them on task avoid common problems encountered during study meetings, including challenging behaviours formulate the HAZOP study report fulfil the team leader’s role in implementing recommendations and managing the process FOR WHOM Anyone with experience of the HAZOP technique who is required to lead HAZOP studies Process safety engineers, loss prevention specialists, production engineers, process design engineers, project engineers, process programmers and instrument control engineers Risk Managers COURSE CONTENT Introduction to HAZOPWhat is a HAZOP?What are Hazards and Risk?Limitations of HAZOPsEssential Features of HAZOP Principles of examination Design representation Design requirements and design intent Applications of HAZOP Relation to other analysis toolsFailure Mode Effect AnalysisAs Low As Reasonably Practicable (ALARP)Fail Tree AnalysisEvent Tree Analysis HAZOP study limitations Risk identification studies during different system life cycle stagesConcept stageDevelopment stageRealization stageUtilization stageEnhancement stageRetirement stage The HAZOP study procedure Initiate the study Define scope and objectives Define roles and responsibilities Preparation Plan the study Collect data and documentation Establish guide words and deviations Examination Structure the examination Guidewords and Deviations Causes, Consequences and Safeguards Perform the examination Risk Ranking Documentation and follow up Establish method of recording Output of the study Record information Sign off the documentation Follow-up and responsibilities Case Study and practical application TRAINING METHODOLOGIES Presentation Case Study Individual Exercises Group Exercises DURATION: 4 Days (Examination on day 4)

Caring for the Elderly Course Description: Old consideration centers around the old's close to home and social requirements, incorporating assist with medical services and day by day exercises. The old longing to age with pride. Accordingly, there is a requirement for customisation of exercises, lodging, preparing of representatives and administrations to suit the particular necessities of the old. A huge level of older consideration overall falls under the casual or neglected market section. Maturing is unavoidable and influences all families. Grown-ups envisioning their folks as older probably won't give the correct picture of what their maturing will undoubtedly mean for them. This is all the more so obvious if guardians are now matured, yet at the same time sound and sufficiently able to really focus on themselves. Grown-ups probably won't get an excellent of the worries or sensational changes that regularly happen when matured guardians become subordinate. Nonetheless, a period comes when the effect of guardians' maturing becomes clear, consequently the requirement for long haul care. As individuals age, they experience a decrease in mental and actual essentialness. Accordingly, the matured experience noticeable, radical changes in norm of life, appearance and surprisingly enthusiastic prosperity. What You Will Learn: In this course, you will gain proficiency with the accompanying: The embodiment of old consideration Day by day living exercises Instrumental every day living exercises Living game plans for the older Financing care for the old Assets and strong gatherings for old consideration The best consideration for the matured   Advantages of Taking the Course Taking this course will help you learn: About the need to really focus on the old The most effective method to really focus on the old What's associated with really focusing on the older About the different gatherings associated with old consideration About living course of action choices accessible for the old About the best consideration for the older

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now With a single payment you will gain access to Data Science Course Bundle 2022 including 10 Career development courses, original hardcopy certificate, transcript and a student ID card which will allow you to get discounts on things like music, food, travel and clothes etc. The world is one big data bank, and data science is one of the most demanding professional sectors of the present era. The analytical and programming-oriented field of data science has limited resources for candidates to learn and develop skills, which is why you need our highly advanced [course_title] course.With step-by-step interactive video content, our training will equip you with extensive knowledge and expertise in data science, including machine learning. 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Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes. Benefits you'll get choosing Apex Learning for this Course: One payment, but lifetime access to 11 CPD courses Certificates, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable knowledge without leaving your home What other courses are included with this Course? Level 2 Microsoft Office Essentials Microsoft Teams Leadership & Management Diploma Working from Home Essentials Mental Health and Working from Home Online Meeting Management Effective Communication Skills Time Management Report Writing Emotional Intelligence and Human Behaviour Curriculum ***Data Science Course Bundle 2022*** Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview Set-up the Environment for the Course (lecture 1) Set-up the Environment for the Course (lecture 2) Two other options to setup environment Python Essentials Python data types Part 1 Python Data Types Part 2 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) Python Essentials Exercises Overview Python Essentials Exercises Solutions Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. NumPy arrays, built-in methods, array methods and attributes. Indexing, slicing, broadcasting & boolean masking Arithmetic Operations & Universal Functions Exercises Overview Exercises Solutions Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. Pandas Introduction Pandas Data Structures - Series Pandas Data Structures - DataFrame Handling Missing Data Data Wrangling - Combining, merging, joining Groupby Useful Methods and Operations Project 1 (Overview) Customer Purchases Data Project 1 (Solutions) Customer Purchases Data Project 2 (Overview) Chicago Payroll Data Project 2 (Solutions Part 1) Chicago Payroll Data Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach Matplotlib Essentials - Exercises Overview Matplotlib Essentials - Exercises Solutions Python for Data Visualization using Seaborn Introduction & Installation Distribution Plots Categorical Plots (Part 1) Categorical Plots (Part 2) Axis Grids Matrix Plots Regression Plots Controlling Figure Aesthetics Exercises Overview Exercise Solutions Python for Data Visualization using pandas Pandas Built-in Data Visualization Pandas Data Visualization Exercises Overview Panda Data Visualization Exercises Solutions Python for interactive & geographical plotting using Plotly and Cufflinks Interactive & Geographical Plotting (Part 1) Interactive & Geographical Plotting (Part 2) Interactive & Geographical Plotting Exercises (Overview) Interactive & Geographical Plotting Exercises (Solutions) Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types….. Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff Linear Regression Model - Hands-on (Part 1) Linear Regression Model Hands-on (Part 2) Good to know! How to save and load your trained Machine Learning Model! Linear Regression Model (Insurance Data Project Overview) Linear Regression Model (Insurance Data Project Solutions) Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificity…etc. Logistic Regression Model - Hands-on (Part 1) Logistic Regression Model - Hands-on (Part 2) Logistic Regression Model - Hands-on (Part 3) Logistic Regression Model - Hands-on (Project Overview) Logistic Regression Model - Hands-on (Project Solutions) Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality …. K Nearest Neighbors - Hands-on K Nearest Neighbors (Project Overview) K Nearest Neighbors (Project Solutions) Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging…. Decision Tree and Random Forests - Hands-on (Part 1) Decision Tree and Random Forests (Project Overview) Decision Tree and Random Forests (Project Solutions) Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) Support Vector Machines - Hands-on (SVMs) Support Vector Machines (Project 1 Overview) Support Vector Machines (Project 1 Solutions) Support Vector Machines (Optional Project 2 - Overview) Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method ….. K Means Clustering - Hands-on K Means Clustering (Project Overview) K Means Clustering (Project Solutions) Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) Principal Component Analysis (PCA) - Hands-on Principal Component Analysis (PCA) - (Project Overview) Principal Component Analysis (PCA) - (Project Solutions) Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance Python for Recommender Systems - Hands-on (Part 1) Python for Recommender Systems - - Hands-on (Part 2) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) NLP-Challenges, Data Sources, Data Processing ….. Feature Engineering and Text Preprocessing in Natural Language Processing NLP - Tokenization, Text Normalization, Vectorization, BoW…. BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes … Pipeline feature to assemble several steps for cross-validation… How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? There is no experience or previous qualifications required for enrolment on this Data Science Course Bundle 2022. It is available to all students, of all academic backgrounds. Requirements Our Data Science Course Bundle 2022 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having this CPD certificate will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Certificates Certificate of completion Digital certificate - Included

The main subject areas of the course are: Revision of legislation and guidance Revision of asbestos in buildings Controlling work on the fabric of the building Developing a strategy for Compliance The asbestos management plan - reviewing/maintaining/improving

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This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.