Artificial intelligence project management (SZF_172)
About Study Course
Objective
The goal of the course is to prepare students for the effective planning and management of AI projects across various industries. The course will provide theoretical knowledge of AI technologies and project management principles, as well as practical experience through collaboration with companies. Students will develop skills in teamwork, resource management, and problem-solving necessary for successful AI project execution. Upon completing the course, students will be ready to apply their acquired knowledge and lead AI projects in real business scenarios.
Prerequisites
Previous experience in data processing and programming is preferred. Knowledge of artificial intelligence or machine learning fundamentals is preferred but not required.
Learning outcomes
1.• AI/ML Project Lifecycle: Ability to identify and explain the key stages of AI/ML projects, from problem definition to model implementation.
• Data Processing: Knowledge of identifying data sources, cleaning data, and preparing it for model development.
• Model Development and Training: Familiarity with various ML algorithms, their training, and hyperparameter tuning.
• Model Evaluation and Monitoring: Ability to evaluate and monitor models to ensure long-term performance and prevent model drift.
• Experimentation: Understand the experiment cycle in AI/ML projects and its differences from traditional development.
1.• Model Evaluation and Monitoring: Interpret, monitor, evaluate models performance and drift mitigation.
• Oversight of Data Analysis: Evaluate data preparation / cleaning, and analysis processes to ensure high-quality outputs.
• Ready to go platforms: Use existing platforms to speed up the development.
• Communication: Clearly and effectively explain technical processes and results to team members and stakeholders.
• Problem Solving: Identify and resolve issues related to AI project management without direct involvement in technical execution.
1.• Strategic Thinking: Ability to understand and develop long-term data and AI strategies aligned with organizational goals.
• Data-Driven Decision Making: Skill in making informed decisions based on AI model outcomes and data analysis.
• Project Management: Competence in planning and coordinating AI/ML projects from concept to implementation.
• Team Leadership: Understanding team member roles and abilities.
