Jagadeesh Chandra

Years of Experience in .Net Training

10

Teaching Experience in detail in .Net Training

I will provide training with detail manner with planning and implement customized solutions with real time projects and i can provide you more explanation about how to solve different issues with planning and approach the issue with brief explantion. By this training you will able to build enterprise level projects and will know how to solve complex issues

Years of Experience in React JS Training

10

Teaching Experience in detail in React JS Training

Since December 2019, I've been immersed in learning React JS, leveraging it to construct numerous websites. My expertise predominantly lies in full stack development. React JS has been instrumental in accelerating website development, enabling me to streamline code with its concise syntax. Its modular approach, allowing for the creation of distinct components stored in separate files, facilitates seamless integration across various pages of a website. I have extensively experience on .NET CORE, .NET MVC, C#, MSSQL

Years of Experience in Azure Devops Training

8

Teaching Experience in detail in Azure Devops Training

As an Azure DevOps trainer, I leverage my extensive knowledge of the Azure ecosystem and DevOps practices to deliver comprehensive and engaging training sessions. Each training session is carefully crafted to cater to the specific needs and skill levels of the participants, whether they are beginners looking to familiarize themselves with the platform or experienced professionals seeking to deepen their expertise. I start by providing a thorough overview of Azure DevOps, covering its key components such as Azure Repos, Pipelines, Boards, Artifacts, and Test Plans. Through a combination of lectures, demonstrations, and hands-on exercises, I ensure that participants gain a solid understanding of how these components work together to support the entire software development lifecycle.

Years of Experience in C Sharp Classes

9

Teaching Experience in detail in C Sharp Classes

As a C# instructor, my teaching approach is centered around creating an interactive and engaging learning environment where students feel empowered to explore the language and its capabilities. I leverage a combination of lectures, demonstrations, coding exercises, and real-world examples to convey concepts effectively. Foundations of C#: I begin by covering the foundational concepts of C#, including variables, data types, operators, control flow structures, and basic syntax. I ensure that students have a solid understanding of these fundamentals before moving on to more advanced topics. Object-Oriented Programming (OOP): C# is an object-oriented language, so I devote considerable time to teaching OOP principles such as encapsulation, inheritance, polymorphism, and abstraction. I explain how these concepts are implemented in C# and why they are important for writing clean, maintainable code. .NET Framework and Core: Depending on the curriculum, I introduce students to the .NET framework or .NET Core, explaining their significance in the C# ecosystem. I cover topics such as namespaces, assemblies, classes, interfaces, and exception handling, demonstrating how they are used in real-world applications.

Years of Experience in MS SQL General Training

9

Teaching Experience in detail in MS SQL General Training

As an MS SQL instructor, I aim to deliver comprehensive and engaging training sessions that cover various aspects of Microsoft SQL Server, catering to the diverse needs and skill levels of participants. My teaching approach involves a combination of lectures, demonstrations, hands-on exercises, and real-world examples to ensure effective learning. Introduction to SQL: I start by providing a solid foundation in Structured Query Language (SQL), covering fundamental concepts such as data manipulation (SELECT, INSERT, UPDATE, DELETE), data definition (CREATE, ALTER, DROP), data control (GRANT, REVOKE), and basic query optimization techniques. Database Design and Modeling: Understanding database design principles is crucial for building efficient and scalable databases. I teach students how to design relational databases using normalization techniques, entity-relationship modeling, and schema design best practices. I also cover advanced topics such as indexing strategies and partitioning. Microsoft SQL Server Architecture: A deep understanding of SQL Server architecture is essential for effectively managing and optimizing database performance. I explain the various components of SQL Server, including the database engine, storage engine, query processor, and transaction manager. I also discuss high availability and disaster recovery solutions such as clustering, mirroring, and AlwaysOn Availability Groups.

Years of Experience in Angular.JS Training

9

Teaching Experience in detail in Angular.JS Training

Introduction to AngularJS: I start by providing a solid foundation in AngularJS, covering its key concepts, including data binding, directives, controllers, services, and modules. I explain the advantages of using AngularJS for building dynamic web applications and its role in the modern web development ecosystem. AngularJS Architecture: Understanding the architecture of AngularJS is essential for building scalable and maintainable applications. I teach students about the Model-View-Controller (MVC) and Model-View-ViewModel (MVVM) design patterns and how they are implemented in AngularJS. I also cover the AngularJS component-based architecture and the concept of dependency injection. Building Single Page Applications (SPAs): AngularJS is well-suited for building SPAs, where content is dynamically loaded and updated without requiring a full page reload. I demonstrate how to use AngularJS routing to create navigation between different views and how to organize code into reusable components for improved maintainability and code organization. Data Binding and Forms: Data binding is a core feature of AngularJS that enables synchronization between the view and the model. I explain the different types of data binding in AngularJS, including one-way and two-way binding, and demonstrate how to use forms and form validation to capture user input and handle user interactions. Services and Dependency Injection: Services are a key building block in AngularJS for encapsulating reusable business logic and data access functionality. I teach students how to create and use services to share data and functionality across different parts of an application. I also explain the concept of dependency injection and how it helps in creating loosely coupled and testable code. Testing AngularJS Applications: Testing is an integral part of the development process, and AngularJS provides built-in support for unit testing and end-to-end testing. I demonstrate how to write unit tests for AngularJS controllers, services, and directives using tools like Jasmine and Karma. I also cover end-to-end testing with Protractor and how to set up a testing environment for AngularJS applications.

Years of Experience in Microsoft Azure Training

11

Teaching Experience in detail in Microsoft Azure Training

Course Planning and Preparation Curriculum Development: Design a comprehensive curriculum that covers fundamental to advanced Azure concepts, including cloud concepts, core Azure services, security, compliance, privacy, and pricing. The curriculum should be structured into modules, each focusing on specific areas such as virtual machines, storage, networking, databases, and Azure Active Directory. Learning Objectives: Define clear learning objectives for each module to ensure that students understand the goals of the training. Objectives could include understanding Azure's architecture, deploying and managing virtual machines, configuring virtual networks, and implementing Azure security features. Materials and Resources: Develop high-quality training materials, including slides, handouts, lab exercises, and quizzes. Utilize Microsoft Learn, Azure documentation, and other official resources to ensure content is up-to-date and accurate. Teaching Methodology Interactive Lectures: Deliver engaging lectures that combine theoretical knowledge with practical examples. Use real-world scenarios to illustrate how Azure services are used in business contexts. Hands-On Labs: Incorporate hands-on lab sessions where students can practice deploying and managing Azure resources in a controlled environment. Labs should be designed to reinforce lecture content and provide practical experience. Demonstrations: Conduct live demonstrations of Azure services and tools, showing students how to navigate the Azure portal, use Azure CLI, and write scripts for automation. Q&A Sessions: Allocate time for questions and answers to address student queries and clarify doubts. Encourage students to participate and engage in discussions. Assignments and Projects: Assign homework and projects that require students to apply what they have learned. Projects can include setting up a complete Azure environment, implementing a security solution, or optimizing cost management.

Years of Experience in AI Training

10

Teaching Experience in detail in AI Training

My teaching experience relevant to Azure AI training includes creating and delivering educational content tailored to leveraging Microsoft Azure's AI services and tools. Here are the detailed aspects of this experience: Course Development and Delivery: Azure AI Fundamentals: I have developed courses that introduce the basics of Azure AI, covering services such as Azure Machine Learning, Cognitive Services, and Bot Services. These courses aim to familiarize students with the Azure ecosystem and its AI capabilities. Hands-On Labs and Workshops: I have created and conducted hands-on labs and workshops that guide learners through practical exercises. These sessions include setting up Azure Machine Learning workspaces, deploying machine learning models, and integrating cognitive services into applications. Tutorials and Documentation: Step-by-Step Guides: I have written detailed step-by-step guides on using Azure AI services. These guides cover tasks such as data preprocessing, model training, deployment, and monitoring within the Azure environment. Best Practices and Optimization: I have documented best practices for optimizing AI workloads on Azure, focusing on cost management, resource allocation, and performance tuning.