Learn how to create a fully functional MCP (Model Context Protocol) server to integrate AI models like Claude with real-world tools like Excel. Everything from core concepts to setting up your development environment and building your first working server that can analyze real data through natural language prompts. No advanced programming knowledge required, just curiosity and willingness to explore AI automation.

Gain practical experience in data analysis with R by learning how to clean, transform, and visualize datasets. Explore essential workflows such as selecting and filtering data, handling missing values, and summarizing results. Build confidence in preparing data for insights, reporting, and deeper statistical exploration.

Learn how to build clean, secure, and scalable applications with Object-Oriented Programming in Python. Cover the fundamentals of classes and objects, then moves into advanced concepts such as inheritance, composition, polymorphism, and encapsulation. With clear explanations and practical examples, you'll develop the ability to design Python programs that are powerful, maintainable, and ready for real-world use.

Learn the fundamentals of DevOps and how it streamlines software development. By the end, you'll understand key principles, automation, and version control to set up a basic DevOps workflow.

Learn how to plan, launch, and scale high-performing Meta Ads campaigns on Facebook and Instagram. This course takes you step by step from the fundamentals of digital advertising and the buyer's journey to advanced targeting, creative design, budgeting, and compliance. You'll master Meta Ads Manager, build persuasive ad copy, and apply proven strategies like retargeting, social proof, and scaling techniques. The final modules explore AI-driven tools for smarter targeting, creative optimization, trend detection, and analytics. By combining automation with strategy, you'll create ads that engage audiences, boost conversions, and maximize ROI.

Learn the foundations and advanced practices of software architecture, from core concepts and architectural types to high-level system design. Explore design patterns such as creational, structural, and behavioral to build scalable and maintainable solutions, and deepen your knowledge of scalability, performance, availability, fault tolerance, and security. Strengthen communication through effective documentation techniques including UML diagrams, architecture diagrams, and decision records. By the end, you will be ready to influence key architectural decisions and design robust, future-ready systems.