Building a Web App with ASP.NET Core, MVC, and EF

AIOps IntroductionAIOps FoundationsAIOps Implementation RoadmapAIOps Project workflowAIops Deployment Types storagesAIops Industry Use casesAIOps Vs DevOps Vs MLops Lifec cycleAIOps ChallengesAIOps Popular SolutionsAIOps Best PracticesAIOps supporting DEVOps SREwe have designed this course in a way thatFor Each Topic:What is this topic?How is it related to real-time scenarios?Why are we going through this topic?How is configuration done?What is the Final achievement if we learn this topic??Advantages for student out of this course:•Understandable teaching using cartoons/ Pictures, connecting with real time scenarios.•Excellent Documentation with all the processes which can be reused for Interviews, Configurations in your organizations for managers/Seniors to understand what is this topic all about.•Value for MoneyThis is the way we support for Students:•All the queries will be addressed in 48 Hours•Lifetime Course• Latest updates regarding the topics will be providedAbout Trainer:My name is SID and I am very happy that you are reading this!Professionally, I come from the SAP consulting space with 20+ years of experiences. I was trained by the best Tutors in the Market and also hold 20+ years of Hands-on experience and since starting on Udemy I am eager to pass my knowledge to thousands of aspiring SAP ConsultantsFrom my courses you will straight away notice how I deliver the course with real time examples. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.To Conclude, I am passionate about SAP and I am looking forward to sharing my passion and know

To convert Excel workbook formula calculations into web forms, you can follow these steps:1. Understand and Analyze the Excel WorkbookIdentify Inputs: Determine which cells in your Excel workbook are input fields (where users enter data).Identify Outputs: Identify which cells provide calculated results based on the inputs.Extract Formulas: Note down the formulas used in the workbook that connect the inputs to the outputs.2. Design the Web Form LayoutCreate a Mockup: Sketch out the web form's layout, including input fields, labels, and result areas.Map Inputs to Form Elements: Determine the type of form elements (text boxes, dropdowns, checkboxes) that correspond to each Excel input.3. Set Up the Web EnvironmentChoose a Framework/Platform: Decide whether to build the web form from scratch using HTML, CSS, and JavaScript, or use a web development framework like React, Angular, or Vue.js.Set Up Your Development Environment: Install any necessary tools, libraries, or frameworks.4. Create the HTML FormInput Fields: Create HTML input fields corresponding to the inputs in the Excel sheet.Labels: Add labels to explain each input.Submit Button: Include a submit button to trigger the calculations.5. Translate Excel Formulas to JavaScriptWrite JavaScript Functions: Convert the Excel formulas into JavaScript functions. Ensure that these functions correctly handle input values and produce the desired outputs.Event Handling: Use JavaScript to capture form submissions, process inputs, and display results dynamically.6. Implement Data ValidationFront-end Validation: Use HTML and JavaScript to validate user inputs (e.g., ensuring numbers are entered where expected).Error Messages: Provide user-friendly error messages for invalid inputs.7. Test the Web FormCompare Results: Test the web form by entering data and comparing the outputs to the original Excel workbook.</

This comprehensive course is designed to transition Java developers into proficient backend engineers by mastering the essentials of Spring Boot. Unlike other courses that dive into complex concepts before covering the basics, this course follows a hands-on, real-world approach. We focus on building practical applications using live production code techniques, modern Java abstractions, and clear naming conventions commonly used in industry projects.You’ll start by understanding how Spring Boot works before diving into the why—giving you the tools to build solid foundations before exploring advanced topics. Whether you’re new to Spring Boot or looking to solidify your backend skills, this course offers a straightforward, no-nonsense guide that covers all the essential components needed for building scalable, production-ready applications.What You Will Learn:Controllers, Services, Repositories, and Entities: Understand the core building blocks of Spring Boot applications, including how to set up RESTful APIs, business logic layers, and data access layers.Database Integration with MySQL: Learn how to run MySQL queries, set up database connections, and work seamlessly with relational databases.Exception Handling Custom Error Responses: Master best practices for handling errors, defining custom error responses, and returning meaningful error messages in production.Input Validation: Implement input validation to ensure data integrity, and protect against invalid requestsSpring Data JPA Custom Queries: Explore query string parameters, custom query methods with @Query, and interact with databases using Spring Data JPA.JDBC, JPA, and Hibernate: Learn the differences between JDBC and JPA, understand ORM (Object Relational Mapping) with Hibernate, and when

"Data Science for Beginners - Python Azure ML with Projects" is a hands-on course that introduces the essential skills needed to work in data science. Designed for beginners, this course covers Python programming, data analysis, statistics, machine learning, and cloud computing with Azure. Each topic is taught through practical examples, real-world datasets, and step-by-step guidance, making it accessible and engaging for anyone starting out in data science.What You Will LearnPython Programming Essentials: Start with a foundation in Python, covering essential programming concepts such as variables, data types, functions, and control flow. Python is a versatile language widely used in data science, and mastering these basics will help you perform data analysis and build machine learning models confidently.Data Cleaning and Analysis with Pandas: Get started with data manipulation and cleaning using Pandas, a powerful data science library. You’ll learn techniques for importing, exploring, and transforming data, enabling you to analyze data effectively and prepare it for modeling.Statistics for Data Science: Build your knowledge of key statistical concepts used in data science. Topics include measures of central tendency (mean, median, mode), measures of variability (standard deviation, variance), and hypothesis testing. These concepts will help you understand and interpret data insights accurately.Data Visualization: Gain hands-on experience creating visualizations with Matplotlib and Seaborn. You’ll learn to make line plots, scatter plots, bar charts, heatmaps, and more, enabling you to communicate data insights clearly and effectively.Interactive Data Visualization with TableauMaster Tableau, a leading business intelligence tool, to create stunning and interactive dashboards. You’ll learn to:Connect to data sources

CRITICAL NOTICE Prior to Enrollment:This course does not serve as a substitute for official vendor materials necessary for certification exams. It lacks endorsement from the certification vendor, and participants will not receive official certification study materials or a voucher as part of this course.Unlock the full power of network analysis with Wireshark, the world’s leading network protocol analyzer. This comprehensive course is designed to take you from absolute beginner to confident network analyst, whether you’re working in IT support, cybersecurity, system administration, or just looking to understand what’s really happening on your network.You’ll start by learning how to install and configure Wireshark on your system, followed by a deep dive into capturing live network traffic. You’ll gain hands-on experience interpreting packets, analyzing protocols, and identifying performance issues and security threats. From TCP handshakes to DNS lookups and HTTP requests, you’ll explore real-world examples to help you understand how data flows across a network.Throughout the course, you’ll master essential concepts like filters, display customization, and stream following. You’ll learn how to troubleshoot slow networks, identify unauthorized devices, and even detect suspicious or malicious activity. Each topic is explained with clarity and demonstrated with practical exercises to reinforce your learning.Whether you’re preparing for a networking or cybersecurity certification, improving your on-the-job skills, or simply curious about how the internet works under the hood, this course will give you the tools and confidence to analyze networks like a pro. No prior experience is needed—just a desire to learn and explore the digital world around you.Enroll now and start capturing the invisible world of data that surrounds you every day with Wireshark.Th

Become a Cyber Security Architect today. Cybersecurity architects today require an advanced understanding of technical security as well as a thorough understanding of systems development and project and risk management.The global cybersecurity market is currently worth $173B in 2020, growing to $270B by 2026Cybersecurity is the convergence of people, processes and technology that come together to protect organizations, individuals or networks from digital attacks. In other words, Cybersecurity and IT Security is the protection of internet-connected systems such as hardware, software and data from cyber-threats. The practice is used by individuals and enterprises to protect against unauthorized access to data centers and other computerized systems.In this course you will learn:NIST (National Institute of Science and Technology) Cybersecurity frameworkCyber risksCOBIT 5 and DSS05Kali Linux for penetration testing your networkUsing Python, conduct hands-on SSL Port Scans, SQL Injection, Brute Force, Sniffers and moreLearn how to implement control frameworksUnderstand Cyber essential framework and IT securityWork with security threats, malware, cyber crime, callbacks, ransomware, and rootkitsUnderstand advanced persistent threats (APTs)Learn how to architect a security riskWork with managing user access and identityImplementing preventative security, monitoring, and setting alertsBe able to successfully prepare, manage, and respond to incidents, and much moreSee what our students say “I