Discipline of: Business Agility / Enterprise Adaptability
AI Models & Algorithms
The simulation of human intelligence in software, enabling machines to learn, reason, and adapt.
Artificial Intelligence (AI) is increasingly becoming a critical component of modern software solutions, enabling machines to learn from data and make decisions. This cluster focuses on teaching learners how to integrate AI technologies into agile engineering practices, allowing for the development of intelligent systems that can adapt and evolve over time. By mastering AI in the context of agile engineering, professionals can create software that is more responsive, personalized, and capable of solving complex problems.
This cluster is ideal for software developers, data scientists, and AI engineers. Practical outcomes include improved understanding of machine learning algorithms, enhanced ability to integrate AI into software projects, and the development of adaptive systems.
Learners will explore techniques such as supervised learning, neural networks, and natural language processing. Tools like AI frameworks, machine learning libraries, and data processing platforms will be covered to help learners build and deploy AI-driven solutions effectively.
This cluster is ideal for software developers, data scientists, and AI engineers. Practical outcomes include improved understanding of machine learning algorithms, enhanced ability to integrate AI into software projects, and the development of adaptive systems.
Learners will explore techniques such as supervised learning, neural networks, and natural language processing. Tools like AI frameworks, machine learning libraries, and data processing platforms will be covered to help learners build and deploy AI-driven solutions effectively.