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AI for Business: Strategy, Implementation and Governance

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Refining Prompts, Redefining Strategy: Elite AI for Business Leaders.

Accelerate AI adoption by identifying, implementing and scaling the right use cases. Go beyond basic prompt engineering to build responsible, governed and ethical AI solutions. Unlock new professional opportunities and lead your organization into the future. NC State Continuing and Lifelong Education developed this course for leaders who want to use AI thoughtfully and put it to work the right way, without risking proprietary data. You’ll finish the course with a working solution built around a real challenge you’re experiencing at your organization.

Why Choose This Course?

Deliver Immediate ROI

You won’t just study theory. During the final three weeks, you will build a custom capstone project based on a real-life AI use case to jump-start implementation at your company.

Master Agentic AI

Learn to move beyond single-turn interactions by building Agentic AI solutions that can reason, plan and execute tasks across your enterprise workflows.

Bridge the Talent Gap

As organizations in every field move from experimenting with AI to depending on it, they need change leaders who can manage the shift. Your capstone project becomes a portfolio piece that proves your AI implementation skillset, wherever your career takes you next.

Lead the Strategy

We prepare you to train others, positioning you as an AI leader in your organization.

AI Governance

 Master data quality, privacy and security while applying a Data Strategy Framework to navigate regulatory compliance like the EU and U.S. AI Acts.

Meet Your Instructor

Vishwani Dua is an NC State alumna and a proven technology executive. Dua specializes in enterprise AI and large-scale delivery. As a former IBM director and chief technology officer, she led teams of more than 600 people to modernize infrastructures and hybrid cloud systems. She brings real-world expertise in engineering Agentic AI solutions that drive measurable enterprise value.

Vishwani Dua

Who Should Take this Course

  • Current Leaders
    Directors and managers driving digital transformation.
  • Small-Business Owners
    Optimize costs, compete with larger enterprises and mitigate data risks.
  • Career Changers
    Transition into high-demand roles like project manager or IT leader.

Prerequisite: Entry-level understanding of AI and basic prompt engineering.

Course Curriculum

Week 1 — Foundations of Agentic AI

  • Overview
  • Multi-agent systems
  • Industry trends
  • Domain-based use case examples

Week 2 — Data Strategy and Foundation Models

  • Data readiness, quality and fundamentals
  • LLM vs. SLM overview

Week 3 — AI Governance and Responsible AI

  • Ethics, bias and regulatory compliance (EU AI Act, US AI Act, etc.)
  • Risks assessment and guardrails

Week 4 — Capstone Design and Prototype

  • Select and finalize a use case and workflow design
  • Start buiding an initial MVP

Week 5 — Capstone: Iteration & Enhancement

  • Address any questions
  • Continue building the project
  • Test, refine and improve

Week 6 — Capstone Project and Wrap Up

  • Complete capstone implementation
  • Course wrap-up

Build Something You’ll Actually Use

As your capstone project in this course, you will design and build a practical, real-world AI solution tailored to your professional goals and industry context. The capstone will demonstrate how AI can drive measurable impact in your day-to-day work. Examples include:

Operational Efficiency: Streamline internal processes and reduce manual effort, such as automate employee onboarding workflows, build an internal policy or knowledgeable Q&A assistant, or convert meeting transcripts into prioritized actions plans.

Customer and Market Intelligence: Turn data into insights that inform decisions and growth, such as create a sales lead qualification or scoring workflow, analyze customer sentiment from reviews or surveys or build an AI-powered market research assistant

Strategic Communications: Enhance how organizations communicate internally and externally, such as generate personalized customer email or outreach campaigns, automate social media content creation or draft leadership communications and internal updates

Data and Insight Extraction: Surface actionable insights from complex or unstructured data, such as synthesize key findings from expense reports or financial data, extract insights from project proposals or vendor documents, or build dashboards or summaries that support decision-making

Industry-Specific Applications: Apply AI to domain-specific challenges in your field, such as summarize complex research or regulatory documents (e.g., healthcare, finance), create structured client or patient profiles, or validate, enrich, or standardize specialized documentation

A young woman wearing glasses and a red shirt working at her computer

Program Details

  • Format: Live Online (via Zoom)
  • Course Dates: Oct. 14 – Nov. 18, 2026
  • Weekly Course Meeting: Wednesdays from 6:30 – 8:30 p.m.
  • Duration: Six weeks (three weeks of lecture, three weeks of capstone building)
  • Time Commitment: 2 hours in class, 1-2 hours outside of class
  • Technology Required: Internet, webcam and an AI Agent builder (Microsoft Copilot, Gemini, ChatGPT, etc.)
  • Tuition: $999
    • Save $400 with early-bird pricing through July 31

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Contact Us

Phone

Office of Professional Development
919.515.2261