AI Development Essentials

Building on AI foundational knowledge, this program moves participants to an intermediate level, equipping them to design, implement, and evaluate AI models. Participants learn practical techniques in machine learning, model evaluation, and optimization, enabling them to contribute to real-world AI projects.

Training Course Methodology

The training course is designed to be interactive and participatory, and includes various learning tools to enable the participants to operate effectively and efficiently in a multifunctional environment. The course will use lectures and presentations, exercises, experiential and exposure to real world problems and policy choices confronting delegates.

• Build and implement basic machine learning models.
• Evaluate and optimize AI models for performance.
• Work with structured and unstructured data for AI applications.
• Understand key algorithms used in intermediate AI projects.
• Apply AI knowledge to real-world problem-solving scenarios.