Articles by Nidhi Sharma

Integrate AI into ASP.NET Core apps easily with Microsoft.Extensions.AI (MEAI). Build chatbots, smart search, and content generation features quickly and efficiently.

Build autonomous AI agents in C# using Semantic Kernel and .NET 10! This guide covers planning, skills, memory, and integration for intelligent apps. Boost productivity!

Explore the differences between .NET MAUI and Blazor Hybrid for cross-platform app development. Learn when to use each for optimal performance and code reuse. Build modern apps!

Build cross-platform mobile apps with .NET MAUI! Use C# and a single codebase for Android & iOS. Learn step-by-step with examples and best practices. Start now!

Integrate OpenAI & Azure OpenAI APIs into your C# .NET 9 application. This guide covers setup, secure API key management, and building AI-powered features. Unlock text generation, summarization, and more!

Safely use raw SQL in Entity Framework Core! Learn how to prevent SQL injection with parameterized queries, FromSqlInterpolated, and input validation for secure .NET apps.

Boost EF Core performance! Learn to optimize LINQ queries, avoid the N+1 problem with eager loading, projections, and more. Build faster, scalable apps now!

Explore the Code First vs. Database First approaches in Entity Framework Core. Learn which method suits new projects and legacy systems for efficient .NET development.

Explore Big Data vs. traditional databases! Understand their key differences in data types, volume, processing, and scalability to make informed tech choices.

Unlock data insights! Learn to connect Power BI to SQL Server, load data, and create interactive dashboards. Visualize sales, trends, and key metrics easily.

Unlock the power of Power BI! Learn the key differences between Power BI Desktop for report creation and Power BI Service for sharing and collaboration. Master the data workflow!

Learn Power BI! This guide simplifies creating interactive dashboards from raw data. Transform data, visualize insights, and make data-driven decisions easily.

Build your first Flutter app from scratch! This beginner-friendly guide covers installation, project setup, widgets, and more. Create cross-platform apps easily!

Master SQL Server one-to-many relationships! Learn to design databases with foreign keys, ensuring data integrity and efficient querying. Includes examples & best practices.

Unlock SQL Server performance! Learn the key differences between clustered and non-clustered indexes, boosting query speed and database efficiency. Master indexing!

Master SQL transactions! Learn how to use BEGIN, COMMIT, and ROLLBACK to ensure data consistency and reliability. Understand ACID properties and best practices.

Learn SQL Server window functions with practical examples of rankings, running totals, partitions, and LAG/LEAD comparisons while preserving row-level details.

Master data cleaning and preprocessing in Python using Pandas. This step-by-step guide covers handling missing data, duplicates, outliers, and more for accurate analysis.

Learn how to identify and prevent overfitting in machine learning models. Improve accuracy and reliability with techniques like regularization and cross-validation.

Unlock the power of machine learning! Learn the key differences between supervised and unsupervised learning with clear examples. Master AI concepts now!

Build a linear regression model in Python using Scikit-Learn. Learn step-by-step implementation, real-world examples, and best practices for accurate predictions.

Master LLM context windows for peak accuracy! Learn chunking, RAG, summarization, and more to build efficient AI chatbots and document analysis systems. Optimize now!

Learn how context engineering prevents AI hallucinations in production! Boost accuracy with RAG, validation, and guardrails. Control the input, control the output!

Master AI coding assistants! Learn to write effective prompts for accurate code generation, debugging, and faster development. Improve code quality now!

Build your first AI agent! This step-by-step guide covers selecting an LLM, integrating tools/APIs, function calling, and setting up the agent loop for success.