AI & Us – Software development & artificial intelligence
Artificial intelligence and us Welcome to the first episode
Artificial intelligence and us Welcome to the first episode
AI frameworks are collections of software libraries, tools and guidelines that are specifically designed for the development of artificial intelligence (AI) are designed. Such frameworks provide developers with a structured starting point with a powerful AI environmentin which they can develop and implement algorithms for machine learning (ML), deep learning, natural language processing (NLP) and other AI-related technologies. Top 10 AI frameworks, Types of AI frameworks, Technological aspects of AI frameworks Application areas and use cases of AI frameworks
API governance is a key success factor for secure, scalable, and maintainable interfaces. It ensures consistency, prevents API sprawl, and embeds regulatory requirements directly into the development process. Through standardized guidelines, automated validation mechanisms, and clear ownership, API governance becomes the enabler of a sustainable API strategy — from the first design decision to controlled deprecation.
What is GitOps? Which 4 basic GitOps principles you should definitely know... Overview and relevance of Git-based workflows in modern software development. Now understand the basics of GitOps and master the core components of GitOps.
Machine learning is a branch of artificial intelligence (AI) that deals with the development of algorithms and models that enable computers to learn from experience and data, recognize patterns and make predictions without being explicitly programmed. The aim of machine learning is to enable computers to learn independently from data and extract information in order to master complex tasks. We explain which concepts are used to do this and how predictions can be made by adapting models to existing data.