QuantHub
QuantHub
Support“QuantHub is an exceptional learning tool. The clear, modular design helps students move quickly while giving faculty valuable insight into their progress.”
Marketing in the Age of AI
Students learn how to apply AI across every stage of the marketing lifecycle, from research and strategy to content creation and performance optimization. No AI expertise required.
What You'll Gain
Research & Insight:
Use AI tools to gather, analyze, and interpret market and customer data to uncover actionable insights.
Creative & Content:
Generate and refine marketing messages, visuals, and campaigns using AI for brand-aligned storytelling.
Ethics & Responsibility:
Apply ethical frameworks to ensure transparency, fairness, and accountability in AI-powered marketing.
Optimization & Strategy:
Leverage AI-driven analytics to optimize budgets, performance, and strategic decision-making across campaigns.
Modules
The curriculum is organized into flexible, task-based modules. Choose the ones that align with your objectives and map them directly into your existing syllabus.
Unit 2359: Leveraging generative AI as a learning partner
Explain how generative AI can support learning, exploration, and skill-building when used thoughtfully.
- How generative AI can help learners explore new concepts, generate examples, and clarify ideas
- Differences between using AI for answers vs. using AI as a thinking and learning partner
- Ways to ask AI for explanations, practice questions, feedback, and alternative perspectives
- Strengths and limitations of relying on AI during the learning process
Unit 2360: Differentiating prompting from traditional computing interactions
Explain how communicating with generative AI differs from using traditional software or search tools.
- How prompting differs from commands, search queries, and menu-based software interactions
- Why natural language, context, and iteration matter when working with AI
- How AI responses are shaped by instructions, examples, constraints, and user intent
- Common misconceptions about AI interactions compared with traditional computing tools
Unit 2361: Synthesizing prompt components for effective AI communication
Identify and combine prompt components that help produce clearer, more useful AI responses.
- Core prompt components such as task, context, role, format, audience, examples, and constraints
- How different components work together to shape AI output quality
- Why context is especially important for professional and marketing-related AI tasks
- How to refine prompts when the first response is incomplete, unclear, or misaligned
Unit 2362: Evaluating influence techniques on AI response quality
Analyze how different prompting techniques influence the quality, relevance, and usefulness of AI responses.
- Prompting techniques that improve clarity, specificity, structure, and usefulness
- How framing, examples, constraints, and requested output formats affect AI responses
- How to compare outputs from different prompt approaches
- How to evaluate whether an AI response is accurate, relevant, complete, and appropriate for the task
Unit 2364: Comparing multi-modal prompting strategies across media types
Compare how prompting strategies change when working with text, images, audio, video, or other media types.
- How multi-modal AI systems process different kinds of inputs
- Prompting strategies for text-based, visual, and mixed-media tasks
- How media type affects the context, details, and instructions needed in a prompt
- Marketing-related use cases such as reviewing creative assets, analyzing campaign visuals, or generating content variations
Unit 2337: Explaining basic prompt engineering techniques for generative AI
Explain foundational prompt engineering techniques used to guide generative AI outputs.
- Basic prompt engineering techniques for improving AI responses
- How to write clear instructions, provide relevant context, and specify the desired format
- How to use examples, constraints, and iteration to improve results
- Why effective prompting is a foundational skill for professional AI use
Unit 2086: Applying prompt engineering for text content
Apply prompt engineering techniques to create, revise, and improve text-based content.
- Prompting strategies for drafting, revising, summarizing, and adapting text
- How to guide tone, audience, length, structure, and purpose in AI-generated writing
- How to use AI to support marketing content tasks while maintaining human oversight
- How to review and improve AI-generated text for accuracy, brand fit, and usefulness
Unit 2414: AI Capabilities for Marketing
Explain how AI capabilities show up in marketing work and how they support professional marketing tasks.
- Core AI capabilities applied in marketing contexts
- How AI supports tasks such as customer insight, content generation, personalization, analysis, and optimization
- How marketers use AI capabilities in professional workflows, not just casual tool use
- Strengths and limitations of AI capabilities in marketing tasks
Unit 2417: AI’s Impact on the Marketing Process
Describe how AI capabilities transform work across the marketing process.
- AI’s role across the marketing process, including research & analysis, strategy & planning, creation & development, implementation & launch, and measurement & optimization
- How AI changes marketing workflows, decision-making, and execution
- Examples of where AI adds value across different marketing functions
- Where human judgment, strategy, and oversight remain essential in AI-supported marketing work
A Look Inside the Learning Experience
Students learn through a variety of interactive materials and hands-on environments designed to build real-world skills.
Practical Learning Resources:
Content is designed to help students frame problems and structure their thinking.
Interactive Quizzes:
Questions are embedded in real-world scenarios, testing a student's ability to apply knowledge in context.
Practical Learning Resources:
For courses like Excel for Business Analytics, students work directly in a simulated environment to solve problems.
AI Strategy Spotlight — For Marketing Educators
Watch our expert panel discuss how AI is reshaping marketing strategy and get resources you can use in your classroom.
AI Is the New Marketing Advantage
See how students learn to use AI for research, strategy, and campaign creation in our interactive demo
Don’t Just Take Our Word for It…
Dr. Uma Gupta
Associate Professor USC Upstate
“QuantHub’s modules put faculty in the driver’s seat. They’re flexible, practical, and meet educators where they are in their AI journey.”
Shani Robinson
Senior Associate Dean, SHSU
“I thought the AI essentials were useful, given how large of a role they play in our lives”
Chloe
Student at UA
“Our school was on the failing list. After using QuantHub, students were excited to see their Science ACT scores jump—it completely changed how they approached data in labs.”
Destiny Langford
Tuscaloosa City Schools
“QuantHub is an easy resource to incorporate valuable lessons into each class. I don’t have to lesson plan around it, and it doesn’t require any extra work on my end.”
Hannah Adams
McAdory High School
“Since adopting QuantHub, I haven’t had a single student banging on my door saying ‘I can’t understand this.’ Previously, Excel questions consumed my office hours.”
Greg
MIS Professor
“QuantHub has completely freed up my ability to do more in class. We spent a lot more time on AI this semester than we ever have before.”
Trent
MIS Professor
What I like most about the software is the gamification aspect. Let’s be honest; learning about data analytics isn’t always fun, but we know how valuable it is. The gamification aspect makes learning about this topic much more fun and engaging!
Angela Santa Cruz
Systems Training Specialist
Talk to a Curriculum Specialist
Discover how to seamlessly integrate hands-on AI marketing practice into your students’ learning.