This applied technology course builds hands-on technical proficiency in generative AI systems: constructing and engineering effective prompts, evaluating AI-generated outputs for accuracy and reliability, and applying AI tools to structured content-generation and administrative workflows. Each module pairs applied technical instruction with guided practice on live AI systems and produces a usable, job-ready technical artifact demonstrating AI tool proficiency.
Learning Outcomes
By the end of this course, participants will be able to:
- Recognize the capabilities and limitations of generative AI and select appropriate workplace tasks for AI assistance.
- Apply basic safeguards for confidential, regulated, and sensitive organizational information, and identify when human review is needed.
- Construct and refine prompts with clear objectives, context, source material, constraints, and output requirements.
- Apply AI-based natural-language generation tools to draft, summarize, structure, and refine written content, demonstrating technical competency in AI-assisted content-generation systems for varied audiences and formats.
- Assess candidate generative-AI use cases against defined technical feasibility, data readiness, and system capability criteria.
Modules
- Practical AI Foundations
- Anatomy of an Effective Prompt
- Capability Mapping and Use-Case Evaluation
- Applying AI Tools to Technical Content and Workflow Tasks
Course Details
Format: Instructor-led sessions combine short technical explanations, demonstrations, individual practice, small-group collaboration, and discussion. Examples are tailored to the organization while the curriculum remains platform-agnostic.
Certificate: Participants who complete all four modules receive the Walsh University Applied AI: Productivity and Opportunity Discovery Certificate, documenting applied technical proficiency in generative AI tool use, prompt construction, and AI-assisted content development.