14100 Courses

Duration 5 Days 30 CPD hours This course is intended for Workspace ONE UEM operators and administrators, account managers, solutions architects, solutions engineers, sales engineers, and consultants Workspace ONE Access operators and administrators, account managers, solutions architects, solutions engineers, sales engineers, and consultants Overview By the end of the course, you should be able to meet the following objectives: Identify key benefits of Workspace ONE Access to address your specific use case Describe the different identity sources supported by Workspace ONE Access and apply the most appropriate to your organization's use case Differentiate common authentication methods in Workspace ONE Access and select the most suitable method to fit your business needs Illustrate how to use access policies and implement best practices within your organization Outline various authentication methods and workflows that can be implemented to ensure a robust end-user experience, while meeting your security requirements Summarize the capabilities and benefits of VMware Workspace ONE Intelligent Hub and Hub Services and learn how to effectively implement both Discuss how to implement Workspace ONE Intelligent Hub and Hub Services effectively Describe features of VMware Workspace ONE Intelligence™ and how to use it to support daily administration and maintenance Explain how to use the Workspace ONE UEM and Workspace ONE Access APIs to perform administration and maintenance Outline Workspace ONE design methodology and how it can apply to your organization In this five-day course, you build on the foundations learned in VMWare Workspace ONE: Deploy & Manage to accelerate the advancement of your deployment and management systems with VMware Workspace ONE© UEM and VMware Workspace ONE© Access?.Through a series of hands-on labs, simulations, and interactive lectures, you effectively evaluate your organization?s current practices and discover opportunities to target improvements in identity, authentication, and access management. Additionally, you learn the strategies and techniques necessary to construct an integrated management strategy, utilizing a comprehensive set of VMware Workspace ONE© services, including Hub Services, the Unified Catalog, Intelligence, and the API. Course Introduction Introduction and course logistics Course objectives Workspace ONE Platform List the high-level components of the Workspace ONE platform Identify benefits of integrating Workspace ONE Access with other Workspace ONE products Explain what services Workspace ONE Access offers Outline the use cases for Workspace ONE Access Connector Identity Sources Identify different directory types in Workspace ONE Access based on identity sources Explain supported web standards for identity Explain Workspace ONE Access workflows of an Active Directory and an LDAP directory Identify features and use cases of third-party identity sources Identify the features and use cases of the VMware AirWatch© Provisioning app Authentication Identify the benefits of modern identity and access management Explain the workflows of connector-based authentication methods, such as Kerberos, RADIUS, and RSA SecureID Explain the workflows of cloud-based authentication methods, such as mobile SSO for iOS, mobile SSO for Android, and Workspace ONE Verify Access Policies Explain access policies and their importance Describe how identity providers (IdPs) and authentication methods work with access policies Explain how to create policy rules following best practice Catalog Define the types of resources in the Workspace ONE Access catalog Outline the common SAML authentication initiation methods for web applications in Workspace ONE Access Describe the high-level integration steps of a Horizon Cloud integration with Workspace ONE Access Hub Services Describe the relationship between Hub Services, Workspace ONE Intelligent Hub, Workspace ONE UEM, and Workspace ONE Access Illustrate the primary components of Hub Services Describe the features and use cases of Workspace ONE Verify Explain how to deploy mobile flows according to a use case Workspace ONE Intelligence Describe how Workspace ONE Intelligence supports your deployment and management strategy Explain how the Digital Employee Experience Management Solution helps improve employees' Anywhere Workspace journey Explain how you can use Dashboards to access different data for your device management use cases Explain how integration works to connect and share data with third parties Workspace ONE Application Programming Interface Outline the use cases for using the Workspace ONE API Explain how to perform Workspace ONE UEM administration and maintenance through the API Explain how to perform Workspace ONE Access administration and maintenance through the API Design Methodology Explain the Workspace ONE business drivers and use case definition Define Workspace ONE services Discuss how to make architectural design decisions Explain how to create component designs Discuss which third-party components are required for infrastructure design Discuss the process of platform integration Explain the required services for service integration Explain how to design user experience

Unlock your career potential with the Microbiology Lab Technician Diploma. This comprehensive online course covers essential topics, including microbial diversity, laboratory safety, and clinical practices. Gain practical skills and theoretical knowledge to thrive in medical laboratory services. Enrol now to become a qualified microbiology lab technician!

Enhance your career in healthcare with the Laboratory Expert Diploma. This comprehensive online course covers essential topics for aspiring Lab Technicians, including laboratory services, equipment operation, and safety protocols. Gain practical skills and earn a CPD certificate upon completion.

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Advanced Piping & Instrumentation Diagrams P&IDs will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Advanced Piping & Instrumentation Diagrams P&IDs will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Advanced Piping & Instrumentation Diagrams P&IDs and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Advanced Piping & Instrumentation Diagrams P&IDs is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Advanced Piping & Instrumentation Diagrams P&IDs. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The Advanced Piping & Instrumentation Diagrams P&IDs will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Introduction Introduction 00:04:00 About P&id's What's a P&ID ? 00:03:00 Why is a P&ID so important ? 00:02:00 Who uses P&ID's ? 00:06:00 How do P&ID's look like ? 00:08:00 Introduction to P&id Reading Introduction- PID READING 00:02:00 Anatomy of a P&ID 00:01:00 The title block 00:03:00 The drawing scale 00:03:00 The grid system 00:02:00 The revision block 00:03:00 Changes 00:02:00 Notes and legends 00:03:00 Basic P&id Symbols Valve symbols 00:14:00 Valve actuator symbols 00:09:00 Control valve designations 00:02:00 Standards and conventions for valve status 00:07:00 Process equipment symbols 00:12:00 Piping symbols 00:03:00 Pipe fitting symbols 00:03:00 Isolating, venting & draining symbols for ease of maintenance 00:05:00 Instrumentation 00:03:00 Sensing devices and detectors 00:04:00 Location symbols 00:04:00 Modifiers and transmitters 00:05:00 Indicators and recorders 00:03:00 Let's Get Some Practice : Basic P&id Symbols Example #1 : Identifying process equipment and flow paths 00:05:00 Example #2 : Identifying valve position and failure mode 00:03:00 Example #3 : Identifying the symbols 00:02:00 P&id Designation Codes Piping designation code 00:06:00 Equipment designation code 00:03:00 Instrument designation code 00:02:00 Miscellaneous designation codes 00:02:00 The Importance of Process Control The process 00:01:00 Process control 00:06:00 Control Theory Basics The control loop 00:02:00 Process control terms 00:10:00 Basic Process Control Systems (BPCS) Control loops : Feedback control 00:02:00 Pressure control loops 00:01:00 Flow control loops 00:01:00 Level control loops 00:01:00 Temperature control loops 00:01:00 Multi-variable loops 00:02:00 Feedforward control 00:02:00 Feedforward + Feedback 00:01:00 Cascade control 00:08:00 Split range control 00:03:00 Operations on control signals 00:02:00 Ratio control 00:02:00 Batch control 00:01:00 Selective control 00:01:00 Controllers 00:03:00 Advanced Process Control Do we need to control at all ? 00:01:00 Principles of equipment-wise control 00:10:00 Pipe control system 00:02:00 Control of a single pipe 00:02:00 Control of pressure in a pipe 00:03:00 Control of flow in a pipe 00:04:00 Flow merging 00:08:00 Flow splitting 00:05:00 Centrifugal pump control 00:04:00 Control valve vs Variable Frequency Drive (VFD) for centrifugal pumps 00:03:00 Minimum flow control for centrifugal pumps 00:09:00 Positive displacement pump control 00:02:00 Control by a recirculation pipe for PD pumps 00:03:00 Variable Speed Drive (VSD) control for PD pumps 00:01:00 Control by stroke adjustment for PD pumps 00:01:00 Compressor control system 00:02:00 Compressor capacity control 00:12:00 Compressor anti-surge control 00:03:00 Heat transfer equipment control 00:02:00 Heat exchanger direct control system 00:04:00 Heat exchanger bypass control system 00:04:00 Reactor temperature control 00:06:00 Air cooler control 00:02:00 Heat exchanger for heat recovery 00:01:00 Heat exchanger back pressure control 00:02:00 Basic fired heater control 00:08:00 Complex fired heater control 00:05:00 Container and vessel control 00:07:00 Container blanket gas control 00:02:00 Safety Instrumented Systems (SIS), Interlocks and Alarms Safety strategies 00:01:00 Concept of Safety Instrumented Systems (SIS) 00:01:00 SIS actions and types 00:14:00 SIS extent 00:02:00 SIS requirement 00:03:00 Anatomy of a SIS 00:02:00 SIS element symbols 00:01:00 SIS primary elements : Sensors 00:03:00 SIS final elements 00:04:00 Switching valve actuator arrangements 00:02:00 Valve position validation 00:02:00 Merging a switching valve and a control valve 00:03:00 SIS logics 00:01:00 Showing safety instrumented functions on P&ID's 00:07:00 Discrete control 00:05:00 Alarm system 00:02:00 Anatomy of alarm systems 00:02:00 Alarm requirements 00:06:00 Alarm system symbology in P&ID's 00:06:00 Concept of common alarms 00:01:00 Fire and Gas Detection Systems (FGS) 00:03:00 Electric motor control 00:07:00 P&ID representation of commands and responses 00:05:00 P&ID representation of inspection and repair 00:05:00 P&ID example of electro-motor control 00:04:00 P&id Examples : Let's Get Some Practice P&ID example #1 : Legend and specifications 00:05:00 P&ID example #2 : Hydrogen delivery station 00:16:00 P&ID example #3 : Acid system 00:13:00 P&ID example #4 : Centrifugal pump 00:09:00 P&ID example #5 : Utility station 00:04:00 P&ID example #6 : Waste water filter 00:08:00 P&ID example #7 : Steam separator 00:15:00 P&ID example #8 : Flare knock-out drum 00:14:00 P&ID example #9 : Centrifugal compressor 00:05:00 P&ID example #10 : Hydrogen production from shale gas 00:11:00 P&ID example #11 : Fired heater 00:07:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

The Fitness Instructor course is designed to provide a deep understanding of the scientific and theoretical aspects of fitness training. Starting with an introduction to the fundamental concepts of fitness training, this course guides you through the critical areas of anatomy and physiology, essential for any aspiring fitness professional.

Overview of Child and Adolescent Mental Health Join our Child and Adolescent Mental Health course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Child and Adolescent Mental Health course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Child and Adolescent Mental Health course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Child and Adolescent Mental Health Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Child and Adolescent Mental Health. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online — Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Child and Adolescent Mental Health course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion – Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Child and Adolescent Mental Health is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don’t have the time to devote to traditional education. Requirements You don’t need any educational qualification or experience to enrol in the Child and Adolescent Mental Health course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Child and Adolescent Mental Health Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.

Overview of Observation Skills for Carers Join our Observation Skills for Carers course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Observation Skills for Carers course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Observation Skills for Carers course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Observation Skills for Carers Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Observation Skills for Carers. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online — Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion – Digital / PDF Certificate After completing the Observation Skills for Carers course, you can order your CPD Accredited Digital/ PDF Certificate for £5.99. Certificate of Completion – Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Observation Skills for Carers is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don’t have the time to devote to traditional education. Requirements You don’t need any educational qualification or experience to enrol in the Observation Skills for Carers course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Observation Skills for Carers Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.

Duration 2 Days 12 CPD hours This course is intended for The introductory-level course is geared for software developers, project managers, and IT professionals seeking to enhance their understanding and practical skills in version control and collaboration using GitLab. It's also well-suited for those transitioning from another version control system to GitLab, or those responsible for software development lifecycle within their organization. Whether you are an individual looking to boost your proficiency or a team leader aiming to drive productivity and collaboration, this course will provide the necessary expertise to make the most of GitLab's capabilities. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Gain a firm understanding of the fundamentals of Git and GitLab, setting a solid foundation for advanced concepts. Learn to effectively manage and track changes in your code, ensuring a clean and reliable codebase. Discover ways to streamline your daily tasks with aliases, stashing, and other GitLab workflow optimization techniques. Develop skills in creating, merging, and synchronizing branches, enabling seamless collaboration and version control. Equip yourself with the knowledge to use Git as a powerful debugging tool, saving time and effort when troubleshooting issues. Understand the basics of continuous integration and continuous deployment (CI/CD) in GitLab, helping you automate the software delivery process. Immerse yourself in the dynamic world of GitLab, a leading web-based platform for version control and collaboration, through our intensive two-day course, GitLab Quick Start. Version control systems, such as GitLab, are the backbone of modern software development, enabling teams to work cohesively and maintain a structured workflow. By mastering GitLab, you can improve efficiency, encourage collaboration, and ensure accuracy and reliability within your projects, adding significant value to your organization. Throughout the course you?ll explore various aspects of GitLab, starting from the fundamental principles of source code management to advanced concepts like rebasing and continuous integration/design. Key topics covered include Git and GitLab basics, reviewing and editing commit history, mastering GitFlow and GitLab Flow, branching and merging strategies, and understanding remote repositories. You'll also learn how to utilize Git as a debugging tool and explore the power of GitLab's built-in CI/CD capabilities. The core value of this course lies in its practical application. You'll learn how to effectively manage changes in code with GitLab, allowing you to maintain audit trails, create reproducible software, and seamlessly move from another version control system. Then you?ll learn how to enhance your workflow efficiency using aliases for common commands, saving changes for later use, and ignoring build artifacts. You?ll also explore GitLab's CI/CD, which will enable you to automate your software delivery process. These hands-on labs will walk you through creating, merging, and synchronizing remote branches, configuring Git, troubleshooting using Git as a debugging tool, and setting up GitLab Runner for CI/CD. Each lab is designed to simulate real-world projects, offering you a first-hand experience in managing and contributing to a version control system like GitLab. Introduction to Source Code Management The Core Principles of Change Management The Power to Undo Changes Audit Trails and Investigations Reproducible Software Changing code-hosting platform Moving from another version control system Git and GitLab Introduction and Basics Introduction to Git GitFlow GitLab Flow Trees and Commits Configuring Git Adding, Renaming, and Removing Files Reviewing and Editing the Commit History Reviewing the Commit History Revision Shortcuts Fixing Mistakes Improving Your Daily Workflow Simplifying Common Commands with Aliases Ignoring Build Artifacts Saving Changes for Later Use (Stashing) Branching Branching Basics Listing Differences Between Branches Visualizing Branches Deleting Branches Tagging Merging Merging Basics Merge Conflicts Merging Remote Branches Remote Repositories Remote Repositories Synchronizing Objects with Remotes Tracking Branches Centralizing and Controlling Access Introduction to GitLab Git Repositories on GitLab Daily Workflow Reviewing Branching and Merging Branch Review Merging Basics Rebasing Rebasing Basics Rebasing with Local Branches Rebasing with Remote Branches Interactive Rebasing Squashing Commits Getting Out of Trouble Git as a Debugging Tool Using the Blame Command to See File History Performing a Binary Search Continuous Integration / Continuous Design (CI/CD) How to install GitLab Runner Adding to our example project Breaking down .gitlab-ci.yml Adding .gitlab-ci.yml to our example project Deconstructing an advanced .gitlab-ci.yml file GitLab CI/CD web UI Optional: Resetting Trees Introduction to Resetting Resetting Branch Pointers Resetting Branches and the Index Resetting the Working Directory Making Good Use of the Reset Command Optional More on Improving Your Daily Workflow Interactively Staging Changes Optional: Including External Repositories Submodules Subtrees Choosing Between Submodules and Subtrees Workflow Management Branch Management

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