500

This course introduces the basic techniques of machine learning and their application to the development of artificial intelligence algorithms. Students are introduced to the underlying mathematical models, common methods of model training, and the development lifecycle. It will highlight the labeling of data, typical data sources, and possible sources of bias. The course will highlight recent developments in the field, including deep learning and neural nets. It will familiarize students with typical models and their commercial applications. Students will apply biblical and ethical principles related to artificial intelligence.

In this course on applied machine learning, students will master the process of selecting, training, and evaluating algorithms using real-world datasets and cutting-edge machine learning techniques. Through hands-on exercises and projects, participants will gain practical experience in data preprocessing, feature engineering, and model optimization for both supervised and unsupervised learning scenarios, as well as reinforcement learning fundamentals. The curriculum includes the use of foundational models and transfer learning, enabling students to apply common models to new use cases. Performance validation using a variety of metrics will be emphasized, ensuring students can effectively measure and optimize model performance for different applications. The course also addresses the computing infrastructure required for model development and deployment, providing insights into scalable solutions using cloud-based platforms.

This course introduces the students to the foundational artificial intelligence models and their many roles in the workplace. The course describes large language models, recent developments in the field, and leading open-source and commercial tools. The application of large language models to text generation, summarization, and translation; the use of chatbots and virtual assistants; text to image generation; and other multimedia applications are discussed. Tools are utilized in fields such as medicine, marketing, education, customer service, and management. Students will learn how to apply biblical and ethical principles to the responsible use of these these tools and their associated challenges and disruptions. Prerequisite: AIML-500

Students learn to utilize the full potential of commercial generative artificial intelligence tools and navigate their limitations. Students engage in understanding application interfaces, input tokenization, bias in AI, and output constraints. They practice structuring a variety of prompt types and formats to generate relevant output including text composition, software, and graphics. Students enhance their problem-solving, critical thinking, and communication skills using real-world projects and business case studies. They apply these tools in a manner consistent with ethical and biblical principles.

This course equips students with a framework for responsible artificial intelligence tools. Considerations for deployment, including ethical, social, and regulatory factors, are discussed. Students will practice identifying and mitigating sources of bias. They will learn to address technical and non-technical controls to ensure artificial intelligence-enabled tools are operated safely and with appropriate oversight. The importance of explainability, performance monitoring, and user training, are explained. Students will apply ethical and Biblical principles to the appropriate use of artificial intelligence-enabled tools. Prerequisite: AIML-500

This course explores long-term trends in artificial intelligence development, their impact upon the future workforce, and their societal, cultural, and spiritual implications. The history of recent technology revolutions is surveyed, and impacts compared. Students will learn about risks to employment, art, education, and equality of access. The psychological and spiritual aspects of how people create, relate to, and identify with technological and artistic creations in artifacts are explored. Philosophical and theological views on human creativity, super intelligence, and transhumanism are addressed from a biblical framework. The course equips students with the historical, biblical, and technological perspective necessary to positively navigate the impact of artificial intelligence on society.

Students plan, develop, and implement artificial intelligence applications in a realistic workplace context. Students learn to evaluate workflows for potential automation, conduct cost-benefit analyses of potential solutions, tailor artificial intelligence applications for mission fit, and simulate application deployment. Students research regulatory compliance, draft relevant oversight policies, and describe necessary user training. Students also demonstrate competence at model management throughout its lifecycle, including long-term monitoring and eventual retraining or disposition. Students apply ethical and Biblical principles to artificial intelligence implementation plans. Prerequisites: AIML-500, AIML-505, AIML-510