4106 Computing courses in Kirkham delivered On Demand

Description Learn to optimize your cloud application containers with Microsoft Azure. Enrol the MS Azure - Containers course and be an expert user of Azure Containers. Microsoft Azure helps you to develop, update, and manage your containerized applications faster with an end to end developer and CI/CD tools. You can store images in Docker Hub or Azure Container. You will also able to the registry and deploy to your preferred targets. The course teaches all these applications of the software chronologically. Throughout the course, you will be acquainted with the procedures of using the application. The course shows you how to deploy containers using widely adopted orchestrator, or choose a fully-managed container platform. The course describes what containers are within Azure. You will learn how to use docker host to manage both on-premises and Azure containers. To recapitulate, you will be confident enough to use Azure Containers by the end of the course. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? MS Azure - Containers is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our MS Azure - Containers is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction Introduction FREE 00:01:00 Introduction to Containers Introduction to Containers 00:04:00 Docker 00:04:00 Deploying Containers 00:08:00 Multi-container Applications 00:02:00 Azure Container Registry 00:03:00 Azure Container Clustering Options 00:02:00 Installing ACS 00:04:00 Conclusion Course Recap 00:02:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description Learn to leverage Azure Storage in your applications with the intensive course MS Azure - Azure Storage. Microsoft Azure Storage is the durable, highly available, massively scalable, secure, durable, and redundant cloud storage solution of Microsoft. It includes Azure Blobs (objects), Azure Data Lake Storage Gen2, Azure Files, Azure Queues, and Azure Tables. In the course, you will learn how to work with Azure storage accounts. You will learn how to expose file shares to multiple VMs in Azure at the same time. The course guides you the procedures of using Blob storage, File Storage, and Content Delivery Network. Additionally, you will know how to monitor the storage and look at Azure File Sync. Finally, the course teaches you how to work with Backup Vault and site Recovery. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? MS Azure - Azure Storage is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our MS Azure - Azure Storage is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction Introduction FREE 00:03:00 Working with Storage Azure Storage Overview 00:03:00 Working with Azure Storage Accounts 00:09:00 Storage Access 00:05:00 Using Azure Blob Storage 00:06:00 Using Azure File Storage 00:04:00 Azure File Sync 00:10:00 Monitoring Storage 00:03:00 Content Delivery Network 00:03:00 CDN Profile 00:06:00 Azure Backup Vault 00:04:00 Azure Site Recovery 00:03:00 Conclusion Course Recap 00:03:00

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Azure Active Directory (Azure AD) is Microsoft's multi-tenant, cloud-based directory, and identity management service that combines core directory services, application access management, and identity protection into a single solution.  Through this Azure - Azure Active Directory you will receive an understanding of directory service options, how to use a custom domain, how to manage users and groups, as well as how to use multi-factor authentication. You will also learn how to work with application access, how to add and access applications, and how to use a hybrid Azure Active Directory. You will also explore how to extend and deploy AD to the cloud, how to prepare for synchronization, install Azure AD Connect, and manage directory synchronization. In addition, you will understand ADFS, learn how to install AFDS, and how to convert a domain to Federated. Finally, you will understand about Azure AD Federation and learn how to convert a domain to Federated. What Will I Learn? Get an Understanding of Active Directory Understand Hybrid Azure AD Understand Azure AD Federation Requirements Recommenced Pre-Requisite = Azure Introduction Introduction Introduction FREE 00:04:00 Azure Active Directory Directory Service Options 00:03:00 Custom Domains 00:05:00 Managing Users and Groups in the Portal 00:04:00 Managing Users and Groups in the Powershell 00:07:00 Multi-Factor Authentication 00:08:00 Multiple Directories 00:04:00 Application Access 00:02:00 Adding and Accessing Applications 00:06:00 Azure AD Versions 00:03:00 Hybrid Azure AD Hybrid Active Directory 00:03:00 Deploying DC to Azure 00:04:00 Directory Synchronization Pre Reqs 00:05:00 Installing and Configuring Azure AD Connect 00:13:00 Modifying Directory Sync 00:05:00 Active Directory Federation Services Understanding Identity Federation 00:02:00 ADFS Authentication with Online Services 00:03:00 ADFS Pre-reqs 00:03:00 Installing ADFS 00:04:00 Installing ADFS Proxy 00:06:00 Converting Domains to Federated 00:05:00 Pass-through Authentication Pass-through Authentication 00:02:00 Seamless Single Sign-on 00:01:00 Configuring Pass-Through 00:04:00 Conclusion Course Recap 00:06:00 Course Certification

🚀 Unlock the Power of Data with Our Machine Learning Course! 🤖 Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. 🎓 Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. 💡 Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. 📈 What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. 📊 Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. 🌟 Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. 💼 FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. 🌐✨ Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00