Fullstack development involves building both the frontend and backend of web applications. It requires a blend of skills in programming languages, frameworks, and tools to create seamless user experiences and robust server-side logic.

Data science combines math and statistics, specialized programming, advanced analytics, AI and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning.

GenAI, short for Generative AI, it can autonomously produce text, images, and other forms of content using Large Language Models (LLMs) and agents drive advanced workflows and chatflows, enabling automated and interactive applications.

Graph involves analyzing complex relationships using graph databases and computing techniques. Graph algorithms uncover patterns and insights, while graph visualization presents these insights intuitively. This field is crucial for understanding interconnected data in areas like financial networks, recommendation systems, and network analysis.