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AI for Work and Life Certificate

Welcome to the AI for Work and Life course. This globally accessible, fully online course introduces learners from all backgrounds to the dynamic field of artificial intelligence, with a focus on practical tools, real-world applications, and ethical engagement.

By the end of this certificate, you will be able to:

  • Explain how AI works by describing its basic principles, capabilities, limitations, and future possibilities in clear, accessible language.
  • Use AI tools confidently to enhance productivity, creativity, and problem-solving in your personal and professional life.
  • Evaluate the risks and ethical challenges of AI by recognizing issues of bias, fairness, and societal impact, and identifying strategies for responsible use.
  • Create and reflect on an AI-supported solution by completing a real-world project that demonstrates both practical skill and ethical awareness.

This program is designed to help professionals, students and lifelong learners understand and apply artificial intelligence in practical, everyday contexts—both in the workplace and beyond.

Choose Your Enrollment Option

Start learning for free, or enroll with the UNF Certificate and Continuing Education Unit (CEU) included.

Free Course Access
Course + UNF Certificate and CEU

Not sure which option is right for you?

You can enroll in AI for Work and Life at no cost and enjoy full access to the course content. If you later decide you'd like to earn a University of North Florida Certificate and 1 Continuing Education Unit (CEU), you can purchase the credential option for $99.

Already know you want the certificate and CEU? Select the $99 enrollment option to complete your purchase and begin learning.

Either way, you'll receive access to the same course content.

How This Course Works

The AI for Work and Life course is fully online and self-paced, giving you the flexibility to learn on your own schedule. The course consists of eight modules, totaling approximately 10 hours of learning. Each module includes a combination of video lectures, demonstrations, and practical insights to help you build your AI knowledge and skills.

All eight modules are available on demand, so you can start anytime and progress through the course at a pace that works best for you. There are no scheduled class meetings or weekly content releases.

Course Requirements

To successfully complete the AI for Work and Life course, participants must view all module lectures and demonstrations, complete all quizzes with a score of 80% or better, and complete the Capstone assignment.

Tips for Success

For the best learning experience:

  • Learn at your own pace. All course modules are available on demand, allowing you to work through the content whenever it fits your schedule. The course includes approximately 10 hours of learning.
  • Make learning part of your routine. Set aside dedicated time to explore each module, practice new skills, and reflect on what you've learned.
  • Apply what you learn. Take notes on ideas, tools, and strategies you can incorporate into your workplace or daily life. Experiment with AI tools as you progress through the course.
  • Learn together. Invite a friend or colleague to take the course alongside you to stay motivated, exchange ideas, and share discoveries.
  • Module 1: Understanding AI — Foundations and Futures

    Objective: Establish a shared conceptual foundation in AI and generative AI.

    Learning Outcomes:

    • Describe the basic principles and terminology of artificial intelligence, machine learning, and generative AI.
    • Explain in general terms how AI works.

    Topics Covered:

    • What is AI? What are machine learning and generative AI?
    • How AI systems learn and make decisions
    • Milestones in AI development
    • The future of AI
  • Module 2: AI Tools for Everyday Use

    Objective: Explore high-impact AI tools for personal and professional productivity.

    Learning Outcomes:

    • Utilize generative AI tools to accomplish specific work or life tasks.
    • Select AI tools appropriate to given tasks based on knowledge of their strengths, limitations, and relevance.

    Topics Covered:

    • Writing tools (e.g., ChatGPT, Gemini, Copilot)
    • Text-to-image (e.g., Midjourney, DALL·E)
    • Video and audio generation (e.g., Runway, ElevenLabs)
    • Vibe coding
  • Module 3: The Art and Science of Prompting

    Objective: Master prompt engineering for better AI interaction.

    Learning Outcomes:

    • Apply effective prompting techniques to produce high-quality AI-generated outputs.
    • Evaluate and refine AI prompts for accuracy, clarity, and creativity.

    Topics Covered:

    • Basic structure and logic of prompts
    • Prompt patterns and templates
    • Refining outputs through iteration
    • Building reusable prompt toolkits
  • Module 4: AI for Better Living

    Objective: Discover ways AI can improve your daily routines and enhance personal wellness.

    Learning Outcomes:

    • Identify personal routines or hobbies that can be enhanced through the use of AI tools.
    • Implement AI technologies to improve wellness, organization, or creative pursuits.

    Topics Covered:

    • Enhancing productivity with AI
    • Health and wellness tracking
    • Parenting support tools
    • Hobbies
    • Personal finance
  • Module 5: AI Across the Enterprise

    Objective: Understand how AI is transforming business processes and decision-making across industries.

    Learning Outcomes:

    • Explain the kinds of ethical risks that AI poses for organizations and how they can be managed.
    • Assess the effectiveness of AI integration in business scenarios through case studies.

    Topics Covered:

    • AI ethical risk management for organizations
    • Using AI for workflow automation and strategic decision-making
    • Business function case studies
  • Module 6: AI in Key Industries — Law, Finance and Medicine

    Objective: Explore how AI is transforming high-impact sectors including law, finance, and healthcare.

    Learning Outcomes:

    • Describe how AI is applied in law, finance, and medicine to solve real-world problems.
    • Critically evaluate the risks and benefits of AI integration in high-impact sectors.

    Topics Covered:

    • Law: How AI is changing legal work and decision-making processes
    • Finance: How AI is used in financial services and money management
    • Medicine: How AI supports healthcare, treatment, and patient care
    • Ethics and regulation: How industries address challenges of fairness, safety, and accountability with AI
  • Module 7: AI in Society

    Objective: Equip learners to engage with AI in ways that are ethical, fair, and informed.

    Learning Outcomes:

    • Recall the ethical, legal, and societal implications of widespread AI adoption.
    • Explain the relevance of principles such as fairness, accountability, and transparency in the context of AI.

    Topics Covered:

    • Data quality (garbage in, garbage out)
    • Bias and fairness in algorithms
    • Transparency and accountability in automated systems
    • Broader societal impacts (education, elections, employment, relationships)
    • Incorporating AI ethics, mitigating AI risks
  • Module 8: Capstone — AI Application Project

    Objective: Apply your knowledge through a project that demonstrates creativity, ethical understanding, and tool proficiency.

    Learning Outcomes:

    • Design and execute an AI-supported solution for a real-world task using course knowledge.
    • Reflect on the effectiveness and ethical considerations of the chosen AI tool and process.