Web Programming 2

Expands upon modern web development practices by integrating artificial intelligence and machine learning concepts into full-stack applications. Students will explore foundational AI domains including supervised, unsupervised, and reinforcement learning, as well as natural language processing, computer vision, and transformer-based large language models. Emphasis is placed on developing intelligent, data-driven web solutions using neural networks, Retrieval-Augmented Generation (RAG), and agent-based architectures. Students will gain experience implementing cloud-based AI pipelines, integrating Model Context Protocol (MCP) for contextual data interaction, and applying ethical and secure development practices in AI-enabled systems. Skills include configuring and deploying AI models, designing interactive web interfaces for intelligent systems, leveraging modern frameworks for model integration, and adhering to best practices in scalability, transparency, and accountability. Prerequisites: Web Programming 1 10152155, Quantitative Reasoning 10804135

Pre-Requisites
Web Programming 1
Quantitative Reasoning

Classes


Course: Web Programming 2 (62031)

Hybrid/Online Live
Location: Virtual Campus
Duration: 8/25/2026 - 12/16/2026

Days & Time:

Tues: 6:00 PM - 7:50 PM

Facility:

Online Live

Instructor:

Brent Presley

Tuition and Fees: $511.41

Out of State Tuition and Fees: $511.41

Status:Active Seats Available:29
Essential Class Information: This class is taught using Online Live technology such as Microsoft Teams. Please log into your cour ...

Subject Image

Information Technology


Catalog #10152158
Undergraduate