4210 Operations courses in Whitchurch delivered Online

Our Aim is Your Satisfaction! Offer Ends Soon; Hurry Up!! Has a window display ever attracted your notice while you were walking by a store? Has a smell, lights or sound in a store ever triggered your emotion? If you have ever faced any of these, you know what's behind all this magic, a Visual merchandising is the key point to any successful business, and hence one must have these skill-sets to survive in the competitive market. So enrol in this course today to develop knowledge and skills that will drive your career forward while learning the technique to maximise customer engagement. This Diploma course is endorsed by The Quality Licence Scheme and accredited by CPD (with 150 CPD points) to make your skill development and career progression related to Merchandising substantial and easier than ever! This course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. This course incorporates the fundamentals of merchandising, the types, theories and career aspects of a merchandiser. Our course is designed in a way that will enhance your knowledge in areas such as product, inventory, supply chain, and price management. Moreover, the course enables you to plan and execute various strategies to increase customer interactions. Similarly, throughout this course, you will demonstrate an understanding of the essential characteristics, which includes consumer behaviour pattern, the consumer rights act, and the importance of communicating with customers using various actions. Overall, this course has been explicitly outlined to provide you with the comprehension that will help master visual merchandising. What will I learn from this course? An overview of theory Methodologies of product management Principles of merchandise management How to analyse and manage inventories Planning and executing strategies The foundation Decision-making ability in pricing Significance of consumer behaviour The importance of communicating with customers On top of everything, you will get a certificate that includes 150 CPD points which will help make a mark for yourself in the competitive job market. This course certificate will also help you create an impression of self-reliance and dedication that will surely attract prospective employers to prioritise your job application. Enrol in this course today and open doors to enchanting career opportunities ahead. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you. Start your learning journey straight away with this course and take a step toward a brighter future! Why Prefer this Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme and another certificate accredited by CPD after completing this Course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned course lesson planning Innovative and engaging content and activities Course assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full tutor support on weekdays (Monday to Friday) *** Course Curriculum *** Here is the curriculum breakdown of this course: Module 01: Merchandising Theory What is Merchandising? Types of Merchandising Career as a Merchandiser Summary Module 02: Product Management Product Management Brand Management in Retailing Summary Module 03: Merchandise Management Merchandise Management Logistics Summary Module 04: Inventory Management and Analysis Inventory Management Concept Using Inventory Analysis to Improve Business Operations How Do You Analyse Inventory? Key Metrics to Measure Inventory Efficiency Summary Module 05: Merchandising Strategy Elements of Merchandising Takeaways Summary Module 06: Visual Merchandising What is Visual Merchandising? Creating Effective Displays Maintenance Summary Module 07: Merchandise Pricing Interactive Pricing Decisions Pricing Objectives Pricing Policies Specific Pricing Strategies Summary Module 08: Importance of Consumer Behaviour What We Mean by Consumer Behaviour How to Interpret Consumer Behaviour for Your Advantage How to Deal With Issues Related to Behaviour The Difference That Understanding Consumer Behaviour Makes to Your Store Summary Module 09: Consumer Rights Act The Key Rights Held by the Customer What You Are Allowed to Do as a Trader How to Handle Issues with Customers The Legal Side and Getting Help Summary Module 10: The Importance of Communicating with Customers What We Mean by Communication How to Deal With Unhappy Customers How to Talk to Customers The Key Information to Provide your Customers Summary Assessment Process We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the course exam, you will be able to request a certificate with additional cost that has been endorsed by the Quality Licence Scheme. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Course Right for You? This course is preferable to independent and larger retailers who want to up-skill their teams to become experts. Besides, recent graduates or undergraduates who wish to learn a new skill or are looking to get into the industry are also encouraged to apply. Anyone of any academic background can enrol on this course. Requirements The course does not require any prior knowledge; everyone may participate! This course is open to anyone who is interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This course allows you to study at your own speed and grow a quality skillset. Career path Enrolling on this course can lead you to the following career paths: Store Manager Fashion Merchandiser Retail Buyer Retail Store Manager Retail Merchandiser Marketing Executive Campaign Manager Promotional Officer And many more! Certificates CPD Accredited Certificate Digital certificate - £10 Diploma in Merchandising at QLS Level 5 Hard copy certificate - £119 After successfully completing the Diploma in Merchandising at QLS Level 5 course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for international delivery CPD Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

This unique Facilities Management offers a thorough introduction to one of the world's most in-demand specialized professions. Learn about the operations and goals of facilities management at an advanced level, gaining the skills and information you will need to pursue a fulfilling career for the rest of your life. The course content teaches numerous interconnected disciplines that create facilities management, with no prior knowledge or expertise required. This course ensures that an organization has the resources and infrastructure to fulfil its tasks successfully and efficiently, both in the public and private sectors. The Facilities Manager is in charge of everything from building maintenance and renovations to contract management, security, and sustainability. Management : Facilities Management is a dynamic and demanding field, which can also be quite rewarding for successful candidates. To operate as a successful organization, a business model requires effective facilities management. By taking this Facilities Management course and taking the required measures, you can gain the skills needed to manage a high-performing facility. Learning Outcomes After completing this course, you will be able to: Learn everything there is to know about facility management. Establish the significance of facility management. Investigate facility management strategies. Create a long-term project planning strategy. Learn how to manage space and services. Learn the fundamentals of risk management, change management, and human resource management. Recognize the UK's facilities management rules and regulations. Why Choose Level 7 Diploma in Management : Facilities Management Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. This Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. ***Courses are included in this bundle Course Course 01: Management : Facilities Management Course 02: Workplace Stress Management Course 03: Anger Management ***Other Benefits of this Course 3 PDF Certificate Free Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam Expert Tutor Support [ Note: Free PDF certificate as soon as completing the course ] ***Management : Facilities Management*** Detailed course curriculum of the Management : Facilities Management Course: Module 01: Introduction to Facilities Management The Origins of Facilities Management (FM) Definitions of Facilities Management Functions of Facilities Managers The Facility Management Life Cycle Module 02: Developing a Strategy for Facilities Management Introduction Developing a Facilities Management Strategy Strategic Analysis of Facilities Requirements Developing Solutions Strategy Implementation Module 03: Facilities Planning Real Estate Management Space Management Design Briefing Post-occupancy Evaluations Real Estate Options Totally Serviced Workplaces Module 04: Managing Office WorkSpace Introduction Space and Service Management Design of the Workplace Workspace Remodelling to Optimise Performance Workplace Effectiveness Workplace Security Power Security Module 05: Vendor Management & Outsourcing Service Providers and Suppliers Types of Relationship What Kind of Relationship is Needed? Contractual Arrangements and Partnering Gain-sharing Continual Improvement Module 06: Managing Change Change in an Organisational Setting Communicating Change Responsibilities of Those Managing Change Resolving cultural Conflict Module 07: Managing Human Resources Appropriate Management Structure Employment Obligations Functions, Job Descriptions and Skills Performance Appraisal Module 08: Managing Risk Definition of Risk Types of Risks Impact of Risk on Organisation Principles and Aims of Risk Management Risk Management Standards Risk Control Techniques Module 09: Facilities Management Service Providers Preliminary Approach Managing Agent Managing Contractor Managed Budget Total Facilities Management Determining the Best Approach Module 10: Managing Specialist Services ICT Services Health Care Services Security and Protection Services Custodial Services Professional Services Risks, Insurance and Indemnities Module 11: Public-Private Partnerships and Facilities Management Public-private Partnerships (PPPs) Procurement and Contractual Approach Main types of Service Provided Payment Mechanisms Facilities Management and Private Sector Participation Relevance and Benefits of Private Investment and Partnership Problems with Private Investment and Partnership Module 12: Health, Safety, Environment and UK Law Sustainability and Environmental Issues Relevant Legislation General Policy Corporate Social Responsibility Organisation and Administration Workers' Rights Disability Discrimination Safety Rules and Practice ------------------------- ***Workplace Stress Management*** Module 01: Workplace Stress Module 02: Rational and Irrational Beliefs Module 03: The ABC Framework of REBT Module 04: Cognitive Therapy (CT) Module 05: Cognitive Behavioural Therapy (CBT) in the Workplace Module 06: Conclusion ------------------------- ***Anger Management*** Module 01: Introduction to Anger Module 02: The Process in Anger Module 03: Effect of Anger on Our Thinking Module 04: How to Manage Anger Assessment Method After completing each module of the 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. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Management : Facilities Management This course is perfect for - Students Fresh graduates Job Seekers Anyone interested in business analysis People who are already employed in related fields and wish to improve their knowledge and abilities. Requirements Management : Facilities Management Students who intend to enrol in this course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path Management : Facilities Management The course could prove instrumental in taking your career to the next level. Typical job titles and roles that fall within the field of FM include the following: Asset Manager Assistant Property Manager Construction Manager Director, Physical Plant Developer Energy Manager Certificates Certificate of completion Digital certificate - Included

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Prepare for diverse healthcare roles with our diploma bundle. Includes Nursing Assistant, Phlebotomy Technician, Clinical Observation, and Medical Administration training. Ideal for those seeking careers in healthcare and medical support.

Duration 62.5 Days 375 CPD hours Cisco Learning Library: Data Center offers a subscription to Cisco online data center training, including certifications, products, and technologies.This comprehensive technical training library offers full-length, interactive certification courses, additional product and technology training with labs, and thousands of reference materials Data Center Library Certification Courses CCNP Data Center Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Designing Cisco Data Center Infrastructure (DCID) v7.0 Troubleshooting Cisco Data Center Infrastructure (DCIT) v7.0 Implementing Cisco Application Centric Infrastructure (DCACI) v1.0 Configuring Cisco MDS 9000 Series Switches (DCMDS) Implementing Automation for Cisco Data Center Solutions (DCAUI) CCIE Data Center Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Product and Technology Training Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Understanding Cisco Data Center Foundations (DCFNDU) v1.0 Implementing Cisco Application Centric Infrastructure (DCACI) v1.0 Introducing Cisco NX-OS Switches and Fabrics in the Data Center (DCINX) v1.0 Configuring Cisco NX-OS Switches and Fabrics in the Data Center (DCCNX) v1.0 Designing Cisco Data Center Infrastructure (DCID) v7.0 Troubleshooting Cisco Data Center Infrastructure (DCIT) v7.0 Implementing Cisco Application Centric Infrastructure?Advanced (DCACIA) v1.0 Introducing Cisco Unified Computing System (DCIUCS) v1.0 Configuring Cisco Unified Computing System (DCCUCS) v1.0 Implementing Cisco Tetration Analytics (DCITET) v1.0 Cisco MDS 9000 Series Switches Overview (DCMDSO) v1.0 Configuring Cisco Nexus 9000 in NX-OS Mode (C9KNX) v1.2 Configuring Cisco Nexus 9000 Series Switches in ACI Mode (DCAC9K) v3.0 Introducing Cisco Nexus 9000 Switches in NX-OS Mode (DCINX9K) v2.1 Configuring VXLANs on Cisco Nexus 9000 Series Switches (DCVX9K) v1.0 Cisco Application Centric Infrastructure Operations and Troubleshooting (DCACIO) v4.1 Configuring Cisco MDS 9000 Series Switches (DCMDS) v3.1 Introducing Cisco MDS 9000 Series Switches (DCIMDS) v1.0 Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0 Introducing Automation for Cisco Solutions (CSAU) v1.0 Implementing Cisco HyperFlex (DCIHX) v1.2 Configuring the Cisco Nexus Data Center Transport (CCNDC-T) v2.0 Configuring the Cisco Nexus Data Center Virtual Machines (CCNDC-V) v2.0 Additional course details: Nexus Humans Cisco Digital Learning Data Center 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 Cisco Digital Learning Data Center 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.

Duration 3 Days 18 CPD hours Overview Our engaging instructors and mentors are highly-experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment, guided by our expert team, attendees will explore: New Features Overview Multitenant New Features Security Features Cloud Services Networking Globalization Big Data Support Database Installation and Configuration Database Tuning Backup and Recovery Oracle 19c New Features is a hands-on course that explores the newest features such as Big Data Enhancements, Security, Multitenant features, Oracle Cloud Services, Networking, and much more. Oracle is one of the leading databases in industry today. Learn what their latest flagship product has to offer from industry experts. Oracle 19c New Features Overview Introduction to Oracle 19c New Features Oracle 19c Multitenant New Features Refreshable PDB Switchover PDB Integration with Data Guard PDB Snapshot Carousel CDB Fleet Management Oracle 19c Security Features Profile Lockdown Create a User Defined Master Encryption Key Encrypted Passwords in Database Links and Data Pump Create Keystores for Pluggable Databases Datapump and Unified Auditing Schema Only Accounts Oracle 19c Cloud Services Oracle IaaS Oracle Saas Oracle PaaS Oracle 19c Networking Database Connection Manager Database Proxy Support Tenant Isolation Oracle 19c Globalization New globalization for Bind Variables New Database Local Support Additional Unicode Support Big Data Support New Analytic Support Data Mining Data Warehouse Additional Parallel Processing Support Inline External Tables Database Installation and Configuration Zero Downtime Upgrades Dry Run Command implementation New location for Password File Improved Bulk Operations Database Tuning SQL Tuning Advisor and Exadata New SQL Tuning Set API Concurrent SQL and Sql Performance Analyzer Database In Memory Features In Memory Support for External Tables In Memory Features for Analytics Oracle 19c Backup and Recovery Active Pluggable Cloning Pluggable and non Pluggable Database Migration Additional course details: Nexus Humans Oracle 19c New Features (TTOR20019) 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 Oracle 19c New Features (TTOR20019) 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.

Duration 4 Days 24 CPD hours This course is intended for This course is intended for Network Administrators, Network Engineers, Network Operations Technicians, and students interested in learning about programming. Overview Upon completing this course, the learner will be able to meet these overall objectives:Understand and describe basic and advanced Python terminologiesIdentify and correct Python script errorsPull and reconfigure networking devices using Python scriptsIntroduction to RESTful API utilizing JSON and XML This course focuses on the interoperability of Python programming with Networking to prepare students for Software Defined Networking. This class is designed for students looking to add programming skills in preparation for various ACI & SDN technologies. Basic Constructs Describe and execute strings Describe and execute printing Describe and execute variables Describe and execute built in methods Describe and execute input from users Describe Boolean expressions Advanced Constructs Describe and execute redundant scripts Describe and execute functions Describe and execute classes Scaling Python Describe and execute Reading Files scripts Describe and execute Writing to File scripts Describe and execute substituting strings and integers Describe and execute while loops Describe and execute for loops and lists Describe and execute slicing Updating and edit a list Error checking Dictionaries and Regular Expressions Describe and execute dictionaries Delete dictionaries Describe and execute dictionaries with lists Describe and execute regular expressions (match, search, findall, sub) XML and JSON Describe XML format Describe JSON Format Example of XML Example of JSON What is an XML Schema? Describe SOAP Example of CURL with a Web Based Application Example of a SOAP exchange with a Web based Application Example of REST with a Web based Application Putting It All Together Apply Python principles with a SOAP Client Apply Python principles with REST and WSDL Apply native Python modules Additional course details: Nexus Humans Introducing Python and Web Services Programmability for Network Engineers - v3.0 IPWSP-NE 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 Introducing Python and Web Services Programmability for Network Engineers - v3.0 IPWSP-NE 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.

Duration 2 Days 12 CPD hours This course is intended for Experienced system administrators, network administrators, and system integrators responsible for designing and implementing networking solutions Network and security professionals who work with enterprise and data center networks Overview By the end of the course, you should be able to meet the following objectives: Discuss the SD-WAN architecture and platform deployment model options Identify and describe the SD-WAN solution components Explain the interaction between the SD-WAN Edge, Orchestrator, and Gateway components Describe the SD-WAN Software-Defined Networking (SDN) approach, traffic, and network flows Explore SD-WAN core features and evaluate how these dramatically improve operational automation Use SD-WAN features to perform simple, agile, and secure SD-WAN operations Simplify branch infrastructure by inserting network services on the branch edge, in the cloud, or in the regional and enterprise data centers This course provides you with the knowledge, skills, and tools to achieve competency in deploying and managing the VMware SD-WAN by VeloCloud environment. In this course, you are introduced to workflows of various software-defined WAN constructs along with several operational tools that help you deploy and manage VMware SD-WAN by VeloCloud. Course Introduction Introductions and course logistics Course objectives Introduction to VMware SD-WAN Solution Revisit the traditional WAN technology, WAN topologies and downsides Explain the challenges solved by Secure Access Service Edge (SASE) and use cases List the components of the VMware SASE? solution Describe the VMware SD-WAN solution and list its capabilities VMware SD-WAN Components and Architecture Understand the architecture of the VMware SD-WAN solution and list all its components Explain the function of VMware SD-WAN Edges, Hub, Gateways, controllers, and Orchestrator Explain how the components of the VMware SD-WAN solution interact with each other Using VMware SD-WAN Orchestrator Describe key attributes of the VMware SD-WAN Orchestrator List primary features of the VMware SD-WAN Orchestrator Navigate the main menus of the VMware SD-WAN Orchestrator portal Deploy and Configure VMware SD-WAN Understand the deployment process of VMware SD-WAN components like VMware SD-WAN Edges, Hubs, Gateways, and more Understand the workflow of the VMware SD-WAN configuration List the optional network services that are supported by VMware and the steps to configure the same Understand the profiles and their application in the VMware SD-WAN infrastructure Describe the VMware SD-WAN Edge activation process Path and Traffic Management List the routing options supported by VMware SD-WAN: Static, BGP, OSPF Understand the Dynamic Multipath Optimization (DMPO) feature and its advantages Explain the Quality of Service and its configuration to manage traffic Securing VMware SD-WAN Environment Explain various options available to secure VMware SD-WAN environments. Understand the firewall capabilities and configuration Monitoring, Maintenance, and Troubleshooting List and understand the various features available to monitor the VMware SD-WAN infrastructure List and understand the various options available to troubleshoot and investigate issues in VMware SD-WAN

Duration 2 Days 12 CPD hours This course is intended for This course is designed for developers who want to learn about Git and GitHub. Overview Upon completion of this course, participants will be able to: ? Install and run Git ? Describe basic concepts of Git version control ? Work on multiple branches ? Optimize merging and fixing merge conflicts ? Create and manage GitHub repositories ? Collaborate using GitHub This hands-on course teaches participants how to integrate Git and GitHub into their daily command-line workflow. Git operations, customizations of Git functionality, and how to connect to Git via Eclipse are covered as well. Introduction Introduction to Version Control Systems The Birth of Git and Why Git? What is GitHub? GitHub Repository Concepts Getting Started With Git Installing and Running Git The Git command Line Configuration Files Creating your First Git Repository Staging Area Git Commit Viewing History Creating Aliases and Shortcuts Hands-on Lab Session Getting Started with GitHub Creating and Configuring a Repository in GitHub Uploading your Repository to GitHub Understand Repository?s Main Page Using the README Hands-on Lab Session File Management in Git Locally The Index File Classifications in Git Rename a File Delete a File Ignore Files using .gitignore File Hands-on Lab Session Collaboration on Pull Requests Cloning and Forking Repositories Creating a Pull Request Collaborating a Pull Request Merging on a Pull Request Working with Branches Hands-on Lab Session Integrating GitHub with Eclipse Introducing EGit Plugin Configuring GitHub in Eclipse Working with Eclipse Hands-on Lab Session Reviewing and Configuring a Project on GitHub Configuring a Repository Adding Collaborators Creating Organizations Managing Teams Introducing Issues Merging, Rebasing and Resolving Conflicts Merging Branches Git diff and Commit Ranges Working with Merge Conflicts Merge Strategies Introduction to Rebasing Rebasing Branches Reverting and Fixing Bad Commits Hands-on Lab Session Additional course details: Nexus Humans Learning Git and GitHub 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 Learning Git and GitHub 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.

Duration 1 Days 6 CPD hours This course is intended for Individuals planning to deploy applications and create application environments on Google Cloud. Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services. Describe ways in which customers have used Google Cloud. Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine. Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore. Make basic use of BigQuery, Google's managed data warehouse for analytics. This course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies. Introducing Google Cloud Platform Explain the advantages of Google Cloud Platform. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Platform Identify the purpose of projects on Google Cloud Platform. Understand the purpose of and use cases for Identity and Access Management. List the methods of interacting with Google Cloud Platform. Lab: Getting Started with Google Cloud Platform. Google Compute Engine and Networking Identify the purpose of and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Lab: Deploying Applications Using Google Compute Engine. Google Cloud Platform Storage Options Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable. Learn how to choose between the various storage options on Google Cloud Platform. Lab: Integrating Applications with Google Cloud Storage. Google Container Engine Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Introduction to Hybrid and Multi-Cloud computing (Anthos). Lab: Deploying Applications Using Google Container Engine. Google App Engine and Google Cloud Datastore Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand the purpose of and use cases for Google Cloud Endpoints. Lab: Deploying Applications Using App Engine and Cloud Datastore. Deployment and Monitoring Understand the purpose of template-based creation and management of resources. Understand the purpose of integrated monitoring, alerting, and debugging. Lab: Getting Started with Stackdriver and Deployment Manager. Big Data and Machine Learning Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Lab: Getting Started with BigQuery. Summary and Review Summary and Review. What's Next?.