21978 Business courses delivered Online

Overview This comprehensive course on Travel Blogger will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Travel Blogger comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Travel Blogger. It is available to all students, of all academic backgrounds. Requirements Our Travel Blogger is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 14 lectures • 04:20:00 total length •Module 01: Blogging: An Introduction: 00:20:00 •Module 02: Ethical and Legal Aspects of Blogging: 00:10:00 •Module 03: Introduction to Travel Blogger: 00:20:00 •Module 04: Writing a Good Travel Story: 00:20:00 •Module 05: Setting Up Your Travel Blog: 00:20:00 •Module 06: Travel Blogging and Photography: 00:20:00 •Module 07: Branding and SEO: 00:20:00 •Module 08: Building Your Email List: 00:25:00 •Module 09: Social Media Marketing for Travel Bloggers: 00:20:00 •Module 10: Generating an Income and Advertising Blog: 00:15:00 •Module 11: Affiliate Partnering, Sponsored Posts and Paid Press Trips: 00:30:00 •Module 12: How to Pitch for Travel Blogging Work?: 00:20:00 •Module 13: Increasing Your Income Further: 00:20:00 •Assignment - Fashion and Lifestyle Blogger | Online Course: 00:00:00

Overview This comprehensive course on 20 Keys for Happy Life will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This 20 Keys for Happy Life comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this 20 Keys for Happy Life. It is available to all students, of all academic backgrounds. Requirements Our 20 Keys for Happy Life is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 4 sections • 24 lectures • 02:37:00 total length •Introduction: 00:01:00 •My Promise to You: 00:03:00 •Key 1 - Environment: 00:10:00 •Key 2 - Choices: 00:07:00 •Key 3 - Disappointments: 00:11:00 •Key 4 - Other People's Opinion: 00:05:00 •Key 5 - Perfectionism: 00:06:00 •Key 6 - Be Positive: 00:12:00 •Key 7 - Perspective: 00:07:00 •Key 8 - The World Moves On: 00:08:00 •Key 9 - Scenarios: 00:13:00 •Key 10 - The '3 Questions' Method: 00:04:00 •Key 11 - World Ranking: 00:05:00 •Key 12 - Social Media, Bullying & Dealing With Difficult People: 00:11:00 •Key 13 - Work: 00:16:00 •Key 14 - Variety: 00:04:00 •Key 15- Block Scheme of Happiness: 00:02:00 •Key 16- Take Care of Your Home: 00:04:00 •Key 17- Health: 00:07:00 •Key 18- Dealing With Complainers: 00:04:00 •Key 19 - People Like to Talk: 00:06:00 •Key 20 - Comparing Yourself to Others: 00:08:00 •Thank You: 00:03:00 •Assignment - 20 Keys for Happy Life: 00:00:00

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Salon Management: Salon Management Online Training Do you want to know how to handle beauty treatment in a salon? This Salon Management Course course provides candidates with a thorough grasp of salon management. This salon management course will teach you how to employ, train, and deal with clients. Furthermore, this Salon Management Course will help you build great relationships with both clients and workers. This Salon Management: Salon Management Course focuses on time management, customer psychology, and employee motivation. The Salon Management Course will also educate you on how to properly advertise and sell the services of your salon. You will grasp how to acquire new clients after completing this Salon Management: Salon Management Course. Join in our Salon Management course to receive professionally designed, cost-effective training that will help you expand your expertise! Main Course: Salon Management Free Courses are including with this Salon Management: Salon Management Course Along with The Salon Management: Salon Management Course, We Offer a free Beauty Skincare Course Along with The Salon Management: Salon Management Course, We Offer a free Diploma of Hairdressing (Online) Course Along with The Salon Management: Salon Management Course, We Offer a free Hair & Beard Barbering Course Special Offers of this Salon Management: Salon Management Training Course This Salon Management: Salon Management Course includes a FREE PDF Certificate. Lifetime access to this Salon Management: Salon Management Course Instant access to this Salon Management: Salon Management Course Get FREE Tutor Support to this Salon Management: Salon Management Course Salon Management: Salon Management Online Training We teach the skill of managing a beauty therapy salon in our salon management course. Qualified beauticians in the salon management sector need to possess some managerial abilities in order to run a successful beauty therapy salon. This Salon Management: Salon Management Course is intended for students who want to operate or launch a salon. Who is this course for? Salon Management: Salon Management Online Training For individuals interested in beauty therapy and salon management, the Salon Management Course is suitable. Requirements Salon Management: Salon Management Online Training To enrol in this Salon Management: Salon Management Course, students must fulfil the following requirements. To join in our Salon Management: Salon Management Course, you must have a strong command of the English language. To successfully complete our Salon Management: Salon Management Course, you must be vivacious and self driven. To complete our Salon Management: Salon Management Training Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Salon Management: Salon Management Training Course. Career path Salon Management: Salon Management Online Those who successfully finish the salon management course can start their own beauty treatment and salon management business.

Duration 5 Days 30 CPD hours This course is intended for Implementers and administrators who are new to IBM Spectrum Protect data management. Overview Describe the purpose of IBM Spectrum Protect Install and configure the IBM Spectrum Protect components Use the administrative and client interfaces Discuss storage methodology options and create storage pool Customize data movement and retention policies to meet business requirements Configure the IBM Spectrum Protect database and storage pools for protection Optimize client configuration Perform backup, restore, archive and retrieve operations Organize daily tasks required to protect the IBM Spectrum Protect environment Automate and monitor client and administrative tasks and events IBM Spectrum Protect 8.1.12 is a data backup and recovery solution designed to help you manage your data retention, reduce the cost of storage, and provide appropriate recovery point objectives to meet any service level agreement. IBM Spectrum Protect offers improved efficiency and flexibility using object-based data management and policy driven retention.This five-day course will focus on implementation and basic administration of an IBM Spectrum Protect environment. The hands-on lab exercises are performed on a Windows 2016 environment. The course materials include examples of AIX and Linux commands, when different from Windows. Unit 1 Concepts and components Unit 2 Installation and configuration Unit 3 Interfaces and monitoring Unit 4 Storage pools and devices Unit 5 Policy management, data movement, and expiration Unit 6 Server database and storage pool management Unit 7 Client configuration and management Unit 8 Client data protection Unit 9 Daily operations and maintenance Unit 10 Schedules and reports Additional course details: Nexus Humans TS619G IBM Spectrum Protect version 8.1.12 Implementation and Administration 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 TS619G IBM Spectrum Protect version 8.1.12 Implementation and Administration 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 This course is intended for people who have a basic understanding of Microsoft© Outlook© and want to know how to use its advanced features to manage their email communications, calendar events, contact information, search functions, and other communication tasks. Overview In this course, you will use Outlook?s advanced features to customize and manage your email communications, including using advanced features to organize emails; managing calendar settings and options; managing contact information; scheduling tasks; and managing Outlook archives and data file settings. You will: Insert objects in messages, and modify properties and global options. Organize, search, and manage messages. Protect your mailbox and manage its size. Use rules and Quick Steps to automate message management. Work with advanced calendar settings. Import and forward contacts. Assign delegate permissions and share Outlook items with others. Archive and back up Outlook items using data files. In this course, you will customize command sets, configure mail accounts, set global options, perform advanced searches, apply filters to intercept mail and control spam, create rules to automate mail management tasks, work with calendars and contacts, manage tasks, preserve data with archives and data files, as well as share and delegate access to your Outlook items. In short, you'll work with a wide range of features and options and, in so doing, understand why Outlook is a leading personal management system.This course builds upon the foundational knowledge presented in the Microsoft© Outlook© for Office 365? (Desktop or Online): Part 1 course and will help you customize a communication system well-suited to your work style.This course covers Microsoft Office Specialist Program exam objectives to help you prepare for the Outlook Associate (Office 365 and Office 2019): Exam MO-400 . Modifying Message Properties and Customizing Outlook Topic A: Insert Hyperlinks and Symbols Topic B: Modify Message Properties Topic C: Add Email Accounts to Outlook Topic D: Customize Outlook Options Organizing, Searching, and Managing Messages Topic A: Group and Sort Messages Topic B: Filter and Manage Messages Topic C: Search Outlook Items Managing Your Mailbox Topic A: Manage Junk Email Options Topic B: Manage Your Mailbox Size Automating Message Management Topic A: Use Automatic Replies Topic B: Use Rules to Organize Messages Topic C: Create and Use Quick Steps Working with Calendar Settings Topic A: Set Advanced Calendar Options Topic B: Create and Manage Additional Calendars Topic C: Manage Meeting Responses Managing Contacts Topic A: Import and Export Contacts Topic B: Use Electronic Business Cards Topic C: Forward Contacts Sharing Outlook Items Topic A: Assign and Manage Tasks Topic B: Share Your Calendar Topic C: Share Your Contacts Managing Outlook Data Files Topic A: Use Archiving to Manage Mailbox Size Topic B: Work with Outlook Data Files

Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Duration 5 Days 30 CPD hours This course is intended for Operational Technology (OT) Engineers IT engineers Generalists, including managers, project leads, and solutions and business architects Overview Define what IIoT is and identify IIoT architectures. Identify IIoT market verticals, and their motivations and requirements. Explore Cisco IIoT networking devices, how they are different from other devices, and use common administrative tools for managing them. Explore industrial communications protocols for control and automation, and how they have been adapted to run on top of a TCP/IP network infrastructure. Describe wireless protocols used in IIoT environments, including architectures and devices used. Understand the TCP/IP protocol stack and how it is used with other protocols in IIoT environments. Discuss network protocols for clock synchronization between network devices, and describe available tools for IIoT network administration. Discuss wireless technologies used in a core LAN, and their relevance to IIoT implementations. Explore field WAN technologies and how they are used in IIoT environments. Explore legacy protocols and explain the methods available to transport non-routable protocols over modern networks. Explain fundamental concepts of Quality of Service (QoS) related to IIoT network environments. Discuss Multiprotocol Label Switching (MPLS) operation, components, terminology, and features, and explore its use in IIoT environments. Explore Layer 2 and Layer 3 VPN technologies and describe the way they can be used on IIoT deployments. Describe Dense Wave Division Multiplexing (DWDM) technology and its use in IIoT environments. Explore Layer 1 and Layer 2 high availability technologies and redundancy mechanisms. Describe Layer 3 high availability and the need for Layer 3 redundancy in IIoT deployments The Understanding Cisco Industrial IoT Networking Foundation (INFND) v1.0 course gives you an overview of the protocols, applications, and network infrastructure you need to support and manage Industrial Internet of Things (IIoT) solutions. You will learn about IIoT industry verticals and how different protocols are used within them. The course also covers configuring and verifying the protocols on Cisco© IIoT networking devices. Course Introduction.Defining Industrial Internet of ThingsExamining Common IIoT Verticals.Examining Cisco IIoT Networking Devices.Examining and Configuring Industrial Communication Protocols.Describing Wireless IIoT Protocols.Explaining and Configuring TCP/IP Protocols, Addressing, and Segmentation.Examining Network Services and Administration.Examining and Configuring Wireless Core LAN Technologies.Describing Field WAN Technologies.Examining and Configuring Transportation of Legacy Protocols.Describing, Configuring, and Verifying Quality of Service (QoS) for IIoT Protocols.Examining and Verifying MPLS and IIoT.Configuring and Explaining VPN Technology and IIoT.Describing DWDM.Configuring and Defining Layer 1 and Layer 2 High Availability Technologies.Defining and Configuring Layer 3 High Availability TechnologiesLab outline Connect to the Cisco IIoT Devices. Use Industrial Protocols with Cisco Industrial Ethernet Switches. Configure an 802.11 Client. Configure an IPv6 Address. Configure Layer 2 Network Address Translation (NAT) and IP Addressing in an Example IoT Deployment.