Southeastern Baptist Theological Seminary-Wake County Extension Center · Courses
LEM
10 courses with the subject LEM, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
LEM 8000Exploring Emerging Technologies1
1 lecture, 0 lab, 1 total contact hours Explores how to be part of new technologies that will shape how we live and work. Provides an understanding of artificial intelligence, machine learning, cybersecurity, cloud computing, big data, internet of things (IoT), augmented reality, virtual reality, blockchain, digital privacy, and more. Designed to help students discover their tech path, from a basic understanding of emerging technology or to pursue a career or advanced training in this field. Typically offered: Fall, Spring, Summer
.5 lecture, 0 lab, 0 clinical/other, .5 total contact hours Artificial Intelligence is rapidly evolving with numerous applications across many industries. In this interactive course, students will learn about the AI Project Cycle and building AI solutions. Students will also gain knowledge of machine learning tools and Python packages. This course is designed to prepare students for AI for business solutions and other emerging technologies. Typically offered: Fall, Spring
1 lecture, 0 lab, 1 total contact hours Explores how Artificial Intelligence (AI) continues to evolve rapidly with numerous applications across many industries. Learns how the AI Project Cycle is an iterative approach to building AI solutions in this interactive course. Gains knowledge of machine learning tools and python packages. Prepares students for AI for business solutions and other emerging applications and technology. Prerequisite: CE Introduction to Artificial Intelligence or equivalent experience. Typically offered: Fall, Spring, Summer
2 lecture Examines practical AI systems and their real-world applications across industries, including business, healthcare, and manufacturing. Utilizes machine learning tools, introductory Python packages, and cloud-based AI technologies to analyze data, develop predictive models, and explore applications such as natural language processing, AI agents, and generative AI. Prepares students for emerging workforce opportunities and supports learning aligned with the Google Cloud Generative AI Leader certification. Typically offered: Spring, Summer
.5 lecture, 1 lab, 1.5 total contact hours Explores common trade applications of Artificial Intelligence, including novice, intermediate, and advanced levels. Utilizes linear regression for predictive maintenance and employee attrition predictions. Learns how to detect insurance fraud and analyze quality assurance systems. Prerequisite: LEM8002 Artificial Intelligence Foundations or equivalent experience. Typically offered: Fall, Spring, Summer
2 lecture, 0 lab, 2 total contact hours Navigates students through the complexity of artificial intelligence (AI), machine learning (ML), and cloud computing careers. Provides an overview of major categories of work and job classifications, and an understanding of required credentials and existing programs of study to prepare for the workforce or transfer. Typically offered: Fall, Spring, Summer
LEM 8006Artificial Intelligence: Strategies For Marketing1
1 lecture, 1 total contact hours Provides an in-depth understanding of current generative AI applications in marketing and hands-on strategies for leveraging AI in professional work. Utilizes generative AI tools such as chatbots, agents, and vibe-coding platforms to plan and perform key marketing tasks, including content creation, data collection and analysis, and product development. Covers the use of customized generative AI to deliver targeted and innovative marketing strategies, and provides practical skills and insights that empower professionals in this rapidly evolving digital world. Typically offered: Fall, Spring
.5 lecture, .5 total contact hours Learn the essentials of cybersecurity in a cloud computing environment. This course provides an understanding of cloud at the center of emerging AI technologies among a growing landscape of high-demand software. Topics include an overview of cybersecurity and cloud terminology, systems, and services, as well as the training and career pathways for these growing fields. Typically offered: Fall, Spring
3 lecture, 0 lab, 0 clinical/other, 3 total contact hours Utilizes the application of Artificial Intelligence (AI) and machine learning (ML) techniques to solve business problems. Demonstrates how to prepare and analyze data, build and evaluate machine learning models, and use automated processes. Covers regression, classification, clustering, forecasting, and deep learning models. Prepares students for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification. Prior experience in Python programming is recommended. Typically offered: Fall, Spring, Summer
1 lecture, 1 total contact hours Explores the rapidly evolving intersection of Artificial Intelligence and cybersecurity and analyzes both the expanded threat landscape and new defensive capabilities. Examines vulnerabilities such as prompt injection and data poisoning through hands-on red team and blue team simulations. Applies the NIST AI Risk Management Framework to establish governance strategies that ensure ethical and secure AI deployment.
