Course Catalogue.

After participating in this webinar, you will be able to:

• Identify and clearly define a problem for an AI application, understanding how to select the most appropriate AI approach based on specific needs and objectives.
• Understand the importance of data preparation, including collection techniques, cleaning, and the significance of data quality for the success of an AI project.
• Master the steps of developing and deploying an AI model, from building and training the model to its evaluation, deployment, and maintenance.

Description
This webinar aims to provide a practical understanding of the essential steps to effectively apply AI technologies. Participants will learn how to define a problem and select the appropriate AI approach, a fundamental aspect for the success of any AI project. Next, we will address data preparation, a crucial step often underestimated, highlighting the importance of data quality. Finally, the webinar will cover the development and deployment of an AI model, offering advice on building, training, evaluating, optimizing, and maintaining models.

This session is designed to offer a comprehensive and accessible overview of implementing AI projects.

Who Should Attend
Anyone interested in learning about the key processes involved in applying AI technologies, including:

• Chemical Engineering
• Civil Engineering
• Environmental Engineering
• General Engineering
• Industrial Engineering

Course Syllabus

• Step 1: Problem Definition
  - Identification of needs and objectives
  - Selection of the appropriate AI approach
• Step 2: Data Preparation
  - Data collection and cleaning
  - Importance of data quality
• Step 3: Model Development and Deployment
  - Model building and training
  - Evaluation and optimization
  - Deployment and maintenance