5541 Software courses delivered Online

This comprehensive online interior design course includes 12 self study modules, and weekly 1:1 telephone and or video consultations. I will personally guide and inspire you through your creative learning journey.

Unlock the fusion of creativity and technology with our Interactive Media Design course. Explore design principles, UX/UI strategies, and cutting-edge tools to craft immersive experiences. Master multimedia integration, interactive storytelling, and design for multiple platforms. Elevate your skills in this dynamic blend of creativity and technology for a future-focused career. Enroll now and transform your passion into innovative digital solutions.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

Duration 5 Days 30 CPD hours This course is intended for Data center administrators Data center engineers Systems engineers Server administrators Network managers Cisco integrators and partners Data center designers Technical solutions architects Network architects Overview After taking this course, you should be able to: Describe the foundations of data center networking Describe Cisco Nexus products and explain the basic Cisco NX-OS functionalities and tools Describe Layer 3 first-hop redundancy Describe Cisco FEX connectivity Describe Ethernet port channels and vPCs Introduce switch virtualization, machine virtualization, and describe network virtualization Compare storage connectivity options in the data center Describe Fibre Channel communication between the initiator server and the target storage Describe Fibre Channel zone types and their uses Describe NPV and NPIV Describe data center Ethernet enhancements that provide a lossless fabric Describe FCoE Describe data center server connectivity Describe Cisco UCS Manager Describe the purpose and advantages of APIs Describe Cisco ACI Describe the basic concepts of cloud computing The Understanding Cisco Data Center Foundations (DCFNDU) v1.1 course helps you prepare for entry-level data center roles. In this course, you will learn the foundational knowledge and skills you need to configure Cisco© data center technologies including networking, virtualization, storage area networking, and unified computing. You will get an introduction to Cisco Application Centric Infrastructure (Cisco ACI), automation and cloud computing. You will get hands-on experience with configuring features on Cisco Nexus Operating System (Cisco NX-OS) and Cisco Unified Computing System (Cisco UCS). This course does not lead directly to a certification exam, but it does cover foundational knowledge that can help you prepare for several CCNP and other professional-level data center courses and exams. Describing the Data Center Network Architectures Cisco Data Center Architecture Overview Three-Tier Network: Core, Aggregation, and Access Spine-and-Leaf Network Two-Tier Storage Network Describing the Cisco Nexus Family and Cisco NX-OS Software Cisco Nexus Data Center Product Overview Cisco NX-OS Software Architecture Cisco NX-OS Software CLI Tools Cisco NX-OS Virtual Routing and Forwarding Describing Layer 3 First-Hop Redundancy Default Gateway Redundancy Hot Standby Router Protocol Virtual Router Redundancy Protocol Gateway Load Balancing Protocol Describing Cisco FEX Server Deployment Models Cisco FEX Technology Cisco FEX Traffic Forwarding Cisco Adapter FEX Describing Port Channels and vPCs Ethernet Port Channels Virtual Port Channels Supported vPC Topologies Describing Switch Virtualization Cisco Nexus Switch Basic Components Virtual Routing and Forwarding Cisco Nexus 7000 VDCs VDC Types VDC Resource Allocation VDC Management Describing Machine Virtualization Virtual Machines Hypervisor VM Manager Describing Network Virtualization Overlay Network Protocols VXLAN Overlay VXLAN BGP EVPN Control Plane VXLAN Data Plane Cisco Nexus 1000VE Series Virtual Switch VMware vSphere Virtual Switches Introducing Basic Data Center Storage Concepts Storage Connectivity Options in the Data Center Fibre Channel Storage Networking VSAN Configuration and Verification Describing Fibre Channel Communication Between the Initiator Server and the Target Storage Fibre Channel Layered Model FLOGI Process Fibre Channel Flow Control Describing Fibre Channel Zone Types and Their Uses Fibre Channel Zoning Zoning Configuration Zoning Management Describing Cisco NPV Mode and NPIV Cisco NPV Mode NPIV Mode Describing Data Center Ethernet Enhancements IEEE Data Center Bridging Priority Flow Control Enhanced Transmission Selection DCBX Protocol Congestion Notification Describing FCoE Cisco Unified Fabric FCoE Architecture FCoE Initialization Protocol FCoE Adapters Describing Cisco UCS Components Physical Cisco UCS Components Cisco Fabric Interconnect Product Overview Cisco IOM Product Overview Cisco UCS Mini Cisco IMC Supervisor Cisco Intersight Describing Cisco UCS Manager Cisco UCS Manager Overview Identity and Resource Pools for Hardware Abstraction Service Profiles and Service Profile Templates Cisco UCS Central Overview Cisco HyperFlex Overview Using APIs Common Programmability Protocols and Methods How to Choose Models and Processes Describing Cisco ACI Cisco ACI Overview Multitier Applications in Cisco ACI Cisco ACI Features VXLAN in Cisco ACI Unicast Traffic in Cisco ACI Multicast Traffic in Cisco ACI Cisco ACI Programmability Common Programming Tools and Orchestration Options Describing Cloud Computing Cloud Computing Overview Cloud Deployment Models Cloud Computing Services Lab outline Explore the Cisco NX-OS CLI Explore Topology Discovery Configure HSRP Configure vPCs Configure VRF Explore the VDC Elements Install ESXi and vCenter Configure VSANs Validate FLOGI and FCNS Configure Zoning Configure Unified Ports on a Cisco Nexus Switch and Implement FCoE Explore the Cisco UCS Server Environment Configure a Cisco UCS Service Profile Configure Cisco NX-OS with APIs Explore the Cisco UCS Manager XML API Management Information Tree Explore Cisco ACI

The course is designed for Google Ads (Google AdWords) practitioners that already have basic knowledge in setting up and running AdWords accounts. The course explores advanced techniques and ideas that I have picked up and developed over 10 years running AdWords campaigns for small to large scale clients. I explain the idea behind each technique and I give you ideas and example cases on how I have used it. I then show you how to set it up step by step inside Google Ads. We also look at how to interpret results and how to apply it to your own campaigns, we look at real data and actual results. What you'll learn Google Ads Campaign Experiments: Best Use Cases, Step-by-Step Setup, Analysis, Implementation Access Google Ads tools for forecasting performance Budget Optimisation techniques using regression formula Advanced Concept Testing: moving beyond A/B ad testing to testing concepts Improving Geotargeting for Local Businesses With A Double Campaign Structure How To Setup, Run, Pivot & Interpret the Paid & Organic Report Make A Strong Argument For Running Branded Ads Using the Paid & Organic Report Identify Opportunities Between Organic & Paid Listings Learn to use a free Google Sheets template for automating and tracking budgets in multiple ad accounts How to find the key pitfalls in any Google Ads account How to Audit a new or existing Google Ads account and find issues to improve upon quickly Utilise Dynamic Ad Customisers for more personalised ads Understand the power of using Google Analytics with Google Ads and be familiar with Audience setup and relevant Google Ads reports in GA Understand attribution models and why the default last click is not always ideal Implement Machine Learning features within Google Ads to benefit your account in ways that human optimisation could never reach Develop a multi-funnel remarketing strategy for GDN and search campaign Requirements Able to set up your own Google Ads account Be confident navigating Google Ads accounts Basic exposure to excel filtering & pivot tables Introduction 1. Introduction 00:02:00 Testing to Ad Concepts 2. Introduction to Ad Concepts 00:02:00 3.Example Ad Concepts 00:04:00 4. Label Setup 00:04:00 5. Reporting on Ad Concepts 00:08:00 Google Ads Paid % Organic Interaction Report 6. Understanding the usefulness of this report 00:03:00 7.Linking Google Ads with Search Console 00:04:00 8.Excel Report Setup & Pivot 00:04:00 9.Identifying Google Ads & SEO Search Term Opportunities 00:02:00 10.CTR Interaction between SEO & SEM 00:06:00 Geolocal Campaigns - Double Campaign Structure 11.The theory behind the double campaign 00:04:00 12.A practical example inside Google Ads 00:03:00 Google Ads Campaign - Experiments (Drafts & Experiments) 13.Introduction to Drafts & Experiments 00:05:00 14.Example experiment Ideas for use 00:06:00 15.Draft & Experiment Setup 00:10:00 16.Report Analysis & explanation of symbols 00:05:00 Automate Budgeting for Multiple Ad Accounts 17. Introduction to the Google Spreedsheet template 00:02:00 18. Data Inputs 00:04:00 19. Reading the sheet output 00:06:00 AdWords Audit 20. Audit Overview 00:02:00 21. Auditing the Account Structure 00:08:00 22. Campaign Settings 00:04:00 23. Auditing on the AdGroup Level 00:10:00 24. Other Things to look for in an Audit 00:08:00 Remarketing Strategy & Implementation 25. Why Remarketing Works 00:03:00 26.GDN Remarketing 00:06:00 27.Remarketing Lists for Search Ads (RLSA) & IF Statements 00:04:00 28. Customer Match (Email Retargeting) 00:01:00 29. Dynamic Remarketing 00:04:00 30. Lookalike Audiences 00:02:00 31. GDN Banner Sizes & Other Things to Consider 00:03:00 32. Audience List Sharing 00:14:00 33. Remarketing with Events 00:06:00 Artificial Intelligence & Machine Learning 34.What is AI & ML 00:06:00 35. Auto Rotate for Budgets & Ads 00:03:00 36.Dynamic Search Ads 00:03:00 37.Smart Bidding Strategies 00:07:00 38.Lookalike Audiences 00:02:00 39.Data Driven Attribution Models 00:03:00 Dynamic Ad Customisers 40.Introduction to Ad Customisers 00:04:00 41. Advantages & Example Uses 00:05:00 42.Setting up the Business Data Feed 00:06:00 43.Best Practice for Ads 00:03:00 Google Analytics for Google Ads 44. The Advantages of linking AdWords with GA 00:04:00 45. Linking GA & AdWords 00:02:00 46. AdWords Reports in GA 00:01:00 47. GA Conversion Tracking & Goal Setup 00:07:00 48. Remarketing Segments in GA 00:13:00 49. Attribution Models in Google Analytics 00:07:00 Using Scripts 50. Introduction to AdWords Scripts 00:04:00 51. 404 Link Checker Script 00:07:00 52. Experiment Results Script 00:07:00 53. Google Ads Audit Script 00:06:00 AdWords Editor 54. Introduction and advantages of AdWords Editor over the online interface 00:04:00 55. Example Uses for AdWords Editor 00:04:00 56.AdWords Editor - what you can't do 00:02:00 Competitor Research Tools 57.Auction Insights displayed graphically 00:17:00 58.3rd Party Competitor Research Tools -SEMrush 00:16:00 Landing Page Software 59.Why Use Landing Page Software 00:06:00 60.Unbounce Walk-through 00:08:00 61. Tracking integration for landing pages 00:09:00 New Features in 2018/19 62.Ad Variations 00:06:00 63.Search Responsive Ads 00:05:00 64. Life Events Audiences 00:04:00 65. Custom Intent Audiences 00:04:00

The Professional Certificate Course in Understanding Project Management Office is designed to equip individuals with a deep understanding of PMO operations and best practices. The course covers various PMO models, functions, and roles, including project portfolio management, governance, risk management, and reporting. Participants will learn how to effectively manage projects, streamline processes, and maximize ROI through expert-led training and hands-on exercises. The course also covers PMO implementation strategies and change management techniques to help individuals succeed in their organizations. Upon completion of this course, participants will have a comprehensive understanding of PMO principles and methodologies, enabling them to enhance their career prospects and add value to their organization. Our Professional Certificate Course in Understanding Project Management Office provides a comprehensive overview of PMO operations and best practices. Learn how to effectively manage projects, streamline processes, and maximize ROI through our expert-led training. Enhance your career prospects and add value to your organization by mastering PMO principles and methodologies. After the successful completion of the course, you will be able to learn about the following, Defining what is a project management office (PMO)? Learning the features, roles and types of PMO Defining what is PMO software? Understanding the structure and functions of PMO. Learning the PMO planning and implementation stages. Understanding the PMO staffing. Defining the PMO charter. Understanding the Key elements of PMO charter. Learning the benefits of PMO for key stakeholders. The Professional Certificate Course in Understanding Project Management Office is designed to equip individuals with a deep understanding of PMO operations and best practices. The course covers various PMO models, functions, and roles, including project portfolio management, governance, risk management, and reporting. Participants will learn how to effectively manage projects, streamline processes, and maximize ROI through expert-led training and hands-on exercises. The course also covers PMO implementation strategies and change management techniques to help individuals succeed in their organizations. Upon completion of this course, participants will have a comprehensive understanding of PMO principles and methodologies, enabling them to enhance their career prospects and add value to their organization. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding Project Management Office Self-paced pre-recorded learning content on this topic. Understanding Project Management Office Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience, Project Managers Team Leaders Executives Business Analysts Operations Managers IT Professionals Entrepreneurs Anyone interested in Project Management Office (PMO) Operations. Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Immerse yourself in the realm of database administration with the SQL Database Administrator at QLS Level 5 course. Gain mastery over SQL environment setup, statement fundamentals, advanced commands, and database creation. From optimizing queries to managing databases and tables, this course equips you with the skills to excel as a proficient SQL Database Administrator. Learning Outcomes Establish a strong foundation in SQL database administration, covering setup and configuration. Master SQL statement basics, including querying, filtering, and sorting data effectively. Utilize GROUP BY statements for data aggregation and summarization. Navigate the intricacies of table joins to extract meaningful insights from complex datasets. Demonstrate proficiency in advanced SQL commands and statements for enhanced database management. Why choose this SQL Database Administrator at QLS Level 5 course? 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 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 SQL Database Administrator at QLS Level 5 course for? Aspiring Database Administrators and SQL Professionals. Software Developers Seeking to Expand Their Database Management Skills. IT Professionals Interested in Database Administration. Data Analysts and Data Engineers Looking to Enhance Their SQL Knowledge Career path SQL Database Administrator - $60,000 to $110,000/year. Database Developer - $70,000 to $120,000/year. Data Engineer - $80,000 to $130,000/year. Database Manager - $90,000 to $150,000/year. Database Architect - $100,000 to $160,000/year Prerequisites This SQL Database Administrator at QLS Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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 £115 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 Course Introduction Introduction 00:04:00 Course Curriculum Overview 00:05:00 Overview of Databases 00:10:00 SQL Environment Setup MySQL Installation 00:16:00 MySQL Workbench Installation 00:09:00 Connecting to MySQL using Console 00:09:00 SQL Statement Basics Overview of Challenges 00:04:00 SQL Statement Basic 00:16:00 SELECT Statement 00:09:00 SELECT DISTINCT 00:05:00 Column AS Statement 00:12:00 COUNT built-in Method usage 00:11:00 SELECT WHERE Clause - Part One 00:05:00 SELECT WHERE Clause - Part Two 00:11:00 SQL Statement Basic 00:16:00 SQL Limit Clause Statement 00:09:00 SQL Using BETWEEN with Same Column Data 00:11:00 How to Apply IN Operator 00:11:00 Wildcard Characters with LIKE and ILIKE 00:11:00 GROUP BY Statements Overview of GROUP BY 00:06:00 Aggregation function SUM() 00:09:00 Aggregation MIN() and MAX() 00:05:00 GROUP BY - One 00:09:00 GROUP BY - Two 00:12:00 HAVING Clause 00:05:00 JOINS Overview of JOINS 00:04:00 Introduction to JOINS 00:04:00 AS Statement table 00:03:00 INNER Joins 00:14:00 FULL Outer Join 00:11:00 LEFT Outer JOIN 00:08:00 RIGHT JOIN 00:08:00 Union 00:07:00 Advanced SQL Commands / Statements Timestamps 00:12:00 EXTRACT from timestamp 00:10:00 Mathematical Functions 00:12:00 String Functions 00:22:00 SUBQUERY 00:13:00 Creating Database and Tables Basic of Database and Tables 00:06:00 DataTypes 00:10:00 Primarykey and Foreignkey 00:06:00 Create Table in SQL Script 00:13:00 Insert 00:11:00 Update 00:07:00 Delete 00:04:00 Alter Table 00:09:00 Drop Table 00:05:00 NOT NULL Constraint 00:08:00 UNIQUE Constraint 00:09:00 Databases and Tables Creating a Database backup 00:12:00 10a Overview of Databases and Tables 00:05:00 10c Restoring a Database 00:07:00 Assignment Assignment - SQL Database Administrator at QLS Level 5 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

FREE Level 5 QLS Certificate | FREE 11 CPD Courses & PDF Certificates | 200 CPD Points | Lifetime Access

Overview This comprehensive course on the Diploma in Medical Secretary will deepen your understanding of this topic.After successful completion of this course, you can acquire the required skills in this sector. This Diploma in Medical Secretary comes with accredited certification, 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? The Diploma in Medical Secretary program is open to all students, regardless of their prior qualifications or experience. This comprehensive course is specifically designed for individuals aspiring to excel in medical secretarial roles. Whether you have a background in healthcare, administration, or are entirely new to the field, this program is suitable for you.It equips students with the knowledge and skills necessary for success in healthcare administration and medical office management. Requirements Our Diploma in Medical Secretaryhas been designed to be fully compatible with tablets and smartphones. Here are some common requirements you may need: Computer, smartphone, or tablet with internet access. English language proficiency. Required software/tools. (if needed) Commitment to study and participate. There is no time limit for completing this course; it can be studied at your own pace. Career Path Popular Career Paths for a Diploma in Medical Secretary Course: Medical Secretary/Administrative Assistant: £25,000-£35,000 annually. Healthcare Office Manager: £30,000-£45,000 annually. Medical transcriptionist: £20,000-£35,000 annually. Medical Billing Specialist: £25,000-£40,000 annually. Medical Records Technician: £22,000-£35,000. Salary ranges can vary by location and experience. Course Curriculum 2 sections • 11 lectures • 02:53:00 total length •Module 01: Introduction to Medical Secretary: 00:16:00 •Module 2: Organise Schedules: 00:21:00 •Module 3: Maintaining Medical Records: 00:19:00 •Module 4: Effective Filing Systems in Medical Offices: 00:16:00 •Module 5: Confidentiality in a Medical Environment: 00:14:00 •Module 6: Controlling Stocks and Supplies: 00:09:00 •Module 7: Medical Jargon and Terminology: 00:25:00 •Module 8: Maintaining Workplace Safety: 00:20:00 •Module 9: Information Technology in Health Care: 00:14:00 •Module 10: Legal aspects and Ethics: 00:19:00 •Assignment - Diploma in Medical Secretary: 00:00:00

This course takes you through all the important topics of data structure and algorithms from scratch. You will learn how to solve real-world problems with linked lists, stacks, queues, sorting algorithms, and a lot more using Python.