QuantHub
QuantHub
SupportAI & Data Course Catalog for Higher Education
Explore industry-aligned courses designed for modern business programs or map your syllabus to see how they fit into your curriculum.
Trusted to Build AI & Digital Fluency at Scale
Explore Courses
Browse courses by discipline and curriculum fit or map them directly to your program.
Available Now
AI Literacy
Build ethical AI literacy through core concepts, generative AI, and real-world case studies.
9 units — AI history, business challenges, prompt engineering basics, ethics, security, and AI as a learning and academic partner.
Course Units
✓
AI.1
Business challenges and AI applications
Understand the business challenges that led to modern AI applications.
30 min
✓
AI.2
AI systems' fundamental characteristics
Understand the fundamental characteristics and mechanisms that power AI systems.
30 min
✓
AI.3
The history and current state of AI
Trace the history of AI to modern day innovations.
30 min
✓
AI.4
AI use cases in professional workflows
Explore AI use cases in today's professional workflows.
30 min
✓
AI.5
Selecting AI tools
Learn to categorize AI tools for improved selection.
30 min
✓
AI.6
Basics of prompt engineering
Learn fundamental prompt engineering techniques.
30 min
✓
AI.7
Ethics and security of AI
Identify critical ethics and security concerns related to AI use.
30 min
✓
AI.8
Exploring AI as your learning partner
Explore AI's value as your partner in learning.
30 min
✓
AI.9
Exploring AI in academic workflows
Identify the value of integrating AI into common academic tasks.
30 min
Available Now
AI Literacy
Advanced Prompt Engineering
Master the techniques that unlock AI's full potential across complex, multimodal tasks.
5 units — prompting vs. traditional computing, synthesizing prompt components, influence techniques, complex reasoning approaches, and multimodal strategies.
Course Units
✓
PE.1
Prompting vs. traditional computing interactions
30 min
✓
PE.2
Synthesizing prompt components
30 min
✓
PE.3
Evaluating influence techniques on AI response quality
30 min
✓
PE.4
Analyzing complex problems and synthesizing reasoning
30 min
✓
PE.5
Comparing multimodal prompting strategies
30 min
Available Now
AI Literacy
Applying Generative AI
Apply prompt engineering to real-world data analysis, performance analysis, and project planning.
3 applied units (60 min each) — data-backed analysis, evidence-based performance review, and comprehensive project planning using generative AI.
Course Units
✓
AI.10S
Applying AI for data analysis
Apply effective prompt engineering to perform concise, data-backed analyses.
60 min
✓
AI.11S
Applying AI for performance analysis
Apply effective prompt engineering to conduct evidence-based performance analysis.
60 min
✓
AI.12S
Applying AI for project planning
Apply effective prompt engineering to create and refine a comprehensive project plan.
60 min
Available Now
Trial Available
AI for BusinessMarketing
Train marketing students to use AI for automation, analytics, personalization, and ethical strategy.
7 units — capabilities, marketing transformation across 5 stages, human-AI collaboration, context engineering, AI tools, ethical frameworks, and critical thinking.
Course Units
✓
AIM.1
AI Capabilities in Marketing
30 min
✓
AIM.2
AI's Impact on Marketing Processes
30 min
✓
AIM.3
Human-AI Collaboration in Marketing
30 min
✓
AIM.4
Communicating with AI for Marketing Tasks
30 min
✓
AIM.5
AI Tools for Marketing
30 min
✓
AIM.6
Ethical Use of AI in Marketing
30 min
✓
AIM.7
Critical Thinking for AI in Marketing
30 min
Available Now
Trial Available
AI for BusinessHealthcare
AI in Healthcare
Equip healthcare leaders to leverage AI for clinical transformation, governance, and strategic planning.
13 units spanning AI subfields, ML paradigms, data quality, governance, risk strategies, change management, and strategic AI roadmapping for healthcare.
Course Units
✓
AIH.1
Distinguishing AI from its subfields
30 min
✓
AIH.2
AI applications in healthcare
30 min
✓
AIH.3
Machine learning for healthcare challenges
30 min
✓
AIH.4
Structured and unstructured healthcare data for AI
30 min
✓
AIH.5
Healthcare data quality impact on AI
30 min
✓
AIH.6
Healthcare AI tools' capabilities and limitations
30 min
✓
AIH.7
AI and healthcare technology applications
30 min
✓
AIH.8
Deep learning's impact on healthcare
30 min
✓
AIH.9
Healthcare transformation opportunities with AI
30 min
✓
AIH.10
Designing AI governance for healthcare
30 min
✓
AIH.11S
Developing AI risk strategies for healthcare
60 min
✓
AIH.12S
Strategic AI roadmap and frameworks for healthcare
60 min
✓
AIH.13S
Change management and stakeholder engagement
60 min
Available Now
AI for BusinessEcon Dev
AI for Economic Developers
Equip economic development professionals to leverage generative AI across industries, research, and stakeholder communications.
12 units — 6 foundational and 6 applied — covering AI's industry impact, prompt engineering, business plans, industry analyses, and multi-stakeholder communications.
Course Units
✓
AIED.1
Impact of generative AI on industries
30 min
✓
AIED.2
AI's impact on jobs and skills
30 min
✓
AIED.3
AI use cases for economic development
30 min
✓
AIED.4
AI tools for economic development
30 min
✓
AIED.5
Prompt engineering for economic developers
30 min
✓
AIED.6
AI ethical and security challenges
30 min
✓
AIED.7S
AI for business development plan
60 min
✓
AIED.8S
AI for multi-stakeholder communications
60 min
✓
AIED.9S
AI for communications with unstructured data
60 min
✓
AIED.10S
AI in economic development research
60 min
✓
AIED.11S
AI for industry analysis
60 min
✓
AIED.12S
AI for recruiting marketing materials
60 min
Available Now
Trial Available
AI for BusinessAccounting
Prepare accounting students to collaborate effectively with AI across common workflows.
8 units — capabilities, workflow transformation, human-AI collaboration, context engineering, AI tools, ethics, critical thinking, and organizational transformation.
Course Units
✓
AIA.1
AI Capabilities in Accounting
30 min
✓
AIA.2
AI's Impact on Accounting Processes
30 min
✓
AIA.3
Human-AI Collaboration in Accounting
30 min
✓
AIA.4
Communicating with AI for Accounting Tasks
30 min
✓
AIA.5
AI Tools for Accounting
30 min
✓
AIA.6
Ethical Use of AI in Accounting
30 min
✓
AIA.7
Critical Thinking for AI in Accounting
30 min
✓
AIA.8
Organizational Transformation in Accounting
30 min
Available Now
Trial Available
AI for BusinessFinance
AI for Finance
Prepare finance professionals to leverage AI across workflows with confidence and critical judgment.
8 units covering capabilities, process transformation, collaboration, context engineering, tools, ethics, critical thinking, and organizational career impact in finance.
Course Units
✓
AIF.1
AI Capabilities in Finance
30 min
✓
AIF.2
AI's Impact on Finance Processes
30 min
✓
AIF.3
Human-AI Collaboration in Finance
30 min
✓
AIF.4
Communicating with AI for Finance Tasks
30 min
✓
AIF.5
AI Tools for Finance
30 min
✓
AIF.6
Ethical Use of AI in Finance
30 min
✓
AIF.7
Critical Thinking for AI in Finance
30 min
✓
AIF.8
Organizational Transformation for Finance
30 min
Available Now
AI for BusinessEntrepreneurship
AI in Entrepreneurship
Equip entrepreneurs to integrate AI into venture-building workflows and understand the AI maturity model.
8 units covering AI capabilities, process impact, collaboration modes, communication, tools, ethics, critical thinking, and the AI adoption paradox for entrepreneurs.
Course Units
✓
AIE.1
AI Capabilities in Entrepreneurship
30 min
✓
AIE.2
AI's Impact on Entrepreneurship Processes
30 min
✓
AIE.3
Human-AI Collaboration in Entrepreneurship
30 min
✓
AIE.4
Communicating with AI for Entrepreneurship
30 min
✓
AIE.5
AI Tools for Entrepreneurship
30 min
✓
AIE.6
Ethical Use of AI in Entrepreneurship
30 min
✓
AIE.7
Critical Thinking for AI in Entrepreneurship
30 min
✓
AIE.8
Organizational Transformation & AI Maturity
30 min
Coming Soon
AI for BusinessSales
AI for Sales Expected Apr 2026
Prepare sales professionals to use AI for pipeline management, outreach, and performance insight.
7 units covering AI capabilities in sales, workflow transformation, human-AI collaboration, context engineering, sales AI tools, ethical frameworks, and critical thinking.
In Development
AI for BusinessOperations
AI for Operational Management Expected Apr 2026
Equip operations managers to apply AI across forecasting, supply chain, quality, and project management.
10 planned units — operations & productivity, business strategy, forecasting, process capacity, project management, quality, SPC, supply chain, inventory, and lean operations.
Available Now
Trial Available
AI ToolsMicrosoft 365
Microsoft Copilot
Understand Copilot's architecture, modalities, and decision frameworks to maximize productivity.
7 units — system architecture, modalities, human-AI partnership calibration, modality alignment, decision frameworks, use cases (PAIR test), and output evaluation (TVRR methodology).
Course Units
✓
COP.1
Copilot system architecture and capabilities
30 min
✓
COP.2
Copilot modalities
30 min
✓
COP.3
Human-AI partnership with Copilot
30 min
✓
COP.4
Aligning Copilot modality to needs
30 min
✓
COP.5
Decision frameworks for Copilot selection
30 min
✓
COP.6
Copilot use cases (PAIR test)
30 min
✓
COP.7
Evaluating Copilot outputs (TVRR)
30 min
Coming Soon
AI ToolsGoogle
Google Gemini Expected Apr 2026
Master Google Gemini's capabilities for professional productivity and creative workflows.
Foundations course in development — will cover Gemini architecture, modalities, workspace integration, use case evaluation, and output quality assessment frameworks.
Available Now
ProgrammingPython
Critical Thinking for Programming — Python
Develop algorithmic thinking and problem decomposition skills in Python.
8 units — problem decomposition, divisibility patterns, algorithmic pattern recognition, FizzBuzz, threshold categorization, control-break algorithms, nested loops, and control flow design.
Course Units
✓
PYT.1
Decomposing programming problems
30 min
✓
PYT.2S
Systematic thinking to divisibility patterns
60 min
✓
PYT.3
Recognizing algorithmic patterns
30 min
✓
PYT.4S
The FizzBuzz algorithm
60 min
✓
PYT.5S
Threshold-based categorization algorithms
60 min
✓
PYT.6S
Control-break algorithms for data summarization
60 min
✓
PYT.7S
Designing efficient nested loop structures
60 min
✓
PYT.8S
Control flow design and loop selection logic
60 min
Available Now
ProgrammingC#
Critical Thinking for Programming — C#
Apply systematic algorithmic thinking and professional code structure in C#.
8 units — problem decomposition, divisibility, pattern categorization, FizzBuzz, threshold algorithms, control-break, nested iteration, and control flow. All in C#.
Course Units
✓
C.1
Decomposing programming problems (C#)
30 min
✓
C.2S
Systematic thinking to divisibility patterns (C#)
60 min
✓
C.3
Recognizing algorithmic patterns (C#)
30 min
✓
C.4S
The FizzBuzz algorithm (C#)
60 min
✓
C.5S
Threshold-based categorization algorithms (C#)
60 min
✓
C.6S
Control-break algorithms for data summarization (C#)
60 min
✓
C.7S
Designing efficient nested iteration structures (C#)
60 min
✓
C.8S
Control flow design and loop selection logic (C#)
60 min
Available Now
ProgrammingFull-Stack
Business Programming II
Build and deploy AI-integrated full-stack applications with enterprise-grade practices.
10 units: web fundamentals, JavaScript & APIs, C# server-side, full-stack integration, LLM API integration, AI-aware UX, RAG embedding & retrieval, LLM function calling, and cloud deployment.
Course Units
✓
BP-01
Web Fundamentals & HTML/CSS
—
✓
BP-02
JavaScript & API Communication
—
✓
BP-03
C# API Communication
—
✓
BP-04
Full-Stack Integration
—
✓
BP-05
LLM API Integration
—
✓
BP-06
AI-Aware Front-End UX
—
✓
BP-07
RAG: Embedding & Storage
—
✓
BP-08
RAG: Retrieval & Answering
—
✓
BP-09
LLM Function Calling
—
✓
BP-10
Cloud Deployment (Azure)
—
Available Now
ProgrammingDevOps / Cloud
Enterprise Architecture
Master CI/CD pipelines, containers, IaC, observability, and SRE principles for production systems.
15 units: enterprise mindset, Git workflows, build pipelines, testing gates, artifact lifecycle, Docker, container security, Azure Container Registry, deployment strategies, Bicep IaC, secrets, observability, SRE, and architecture decisions.
Course Units
✓
EA-01
The Enterprise Mindset
—
✓
EA-02
Enterprise Git Workflows
—
✓
EA-03
Build Pipeline Fundamentals
—
✓
EA-04
Automated Testing Gates
—
✓
EA-05
Artifact Lifecycle Management
—
✓
EA-06
Container Fundamentals & Dockerfile Engineering
—
✓
EA-07
Docker Operations & Security Hardening
—
✓
EA-08
Container Registry Operations
—
✓
EA-09
Deployment Strategy & Release Engineering
—
✓
EA-10
Infrastructure as Code with Azure Bicep
—
✓
EA-11
Enterprise Secrets & Configuration
—
✓
EA-12
Operational Observability
—
✓
EA-13
SRE Principles & Incident Response
—
✓
EA-14
Architecture Decision Frameworks
—
✓
EA-15
Enterprise Lifecycle Integration
—
Available Now
Trial Available
Data Analytics
Advance from basic Excel use to analytical thinking applied across real business contexts.
11 units — workspace components, efficiency tools, formatting, descriptive statistics, cell references, COUNT functions, pivot tables, MEDIAN/PROB, charts, nested logic, and advanced conditional analysis.
Course Units
✓
XLS.1S
Excel workspace components
60 min
✓
XLS.2S
Excel's efficiency tools
60 min
✓
XLS.3S
Formatting Excel workspace
60 min
✓
XLS.4S
Calculating descriptive statistics
60 min
✓
XLS.5S
Absolute and relative cell references
60 min
✓
XLS.6S
COUNT, COUNTA, and COUNTIF(S) functions
60 min
✓
XLS.7S
Structured and pivot tables
60 min
✓
XLS.8S
MEDIAN and PROB functions
60 min
✓
XLS.9S
Creating appropriate charts
60 min
✓
XLS.10S
Automated decision-making with nested logic
60 min
✓
XLS.11S
Advanced conditional data analysis
60 min
Available Now
Data AnalyticsK12 / ACAP
Excel for K12 Leadership — ACAP
Equip K12 leaders to analyze ACAP assessment data in Excel for informed decision-making.
8 units designed specifically around ACAP data — workspace setup, formatting, analysis prep, descriptive statistics, COUNT functions, MEDIAN/PROB, charts, and nested decision logic.
Course Units
✓
ACAP.1S
Organizing workspace components for ACAP data
60 min
✓
ACAP.2S
Formatting Excel workspace for ACAP data
60 min
✓
ACAP.3S
Formatting ACAP data in Excel for analysis
60 min
✓
ACAP.4S
Calculating descriptive statistics for ACAP data
60 min
✓
ACAP.5S
Analyzing ACAP datasets with COUNT functions
60 min
✓
ACAP.6S
Applying MEDIAN and PROB to ACAP datasets
60 min
✓
ACAP.7S
Creating charts for ACAP data
60 min
✓
ACAP.8S
Nested logical functions for automated Excel decisions
60 min
Available Now
Data AnalyticsK12 / ACT
Excel for K12 Leadership — ACT
Enable K12 leaders to analyze ACT score data and determine college readiness automatically.
8 units designed around ACT data — workspace, efficiency tools, formatting, descriptive statistics, COUNT functions, MEDIAN/PROB, charts, and automated ACT readiness determination.
Course Units
✓
ACT.1S
Organizing workspace for ACT data
60 min
✓
ACT.2S
Applying Excel tools for ACT data preparation
60 min
✓
ACT.3S
Formatting cells for ACT data types
60 min
✓
ACT.4S
Calculating descriptive statistics for ACT scores
60 min
✓
ACT.5S
Analyzing ACT datasets with COUNT functions
60 min
✓
ACT.6S
Applying MEDIAN and PROB to ACT datasets
60 min
✓
ACT.7S
Creating charts for ACT data
60 min
✓
ACT.8S
Nested logical functions for ACT readiness
60 min
Available Now
Data Science
Students become data-driven decision-makers who analyze, model, and communicate findings with confidence.
10 modules × 5 units: surveys, probability, variability, inference, quantitative association, comparative analysis, linear regression, classification, time series, and cluster analysis. Includes Excel variants for key units.
Course Modules
✓
SUR.1–5
Conducting a survey and summarizing data
Problem statements, question design, frequency tables, mode decisions, chart selection.
60 min ea.
✓
PRB.1–5
Applying Probability
Bivariate analysis, contingency tables, joint & conditional probabilities, visual highlighting.
60 min ea.
✓
VAR.1–5
Mean, Variability & Univariate Analysis
Data definition, quality exploration, central tendency, limitations, chart design.
60 min ea.
✓
INF.1–5
Inference about Association
Research questions, random sampling, p-value, simulation, data narrative.
60 min ea.
✓
SQV.1–5
Measuring association between quantitative variables
Outliers, correlation, scatterplot interpolation, chart selection.
60 min ea.
✓
QVG.1–5
Comparing quantitative variables across groups
Comparative research, metadata, quantiles, box plots, big idea communication.
60 min ea.
✓
LR.1–5
Linear Regression
Regression definition, ethical data collection, model evaluation, predictions, uncertainty visualization.
60 min ea.
✓
PCV.1–5
Predicting a Categorical Variable
Classification, data cleaning, misclassification minimization, predictions, sequential highlighting.
60 min ea.
✓
TS.1–5
Time Series Analysis
Temporal questions, datetime aggregation, moving averages, line chart interpretation, narrative. Includes Excel variants.
60 min ea.
✓
CA.1–5
Cluster Analysis
Unsupervised learning, categorical-to-numeric, k-means evaluation, segment prioritization, cross-highlighting.
60 min ea.
Available Now
Industry-SpecificSpace / Gov
AI for Space Exploration
Equip space professionals to leverage AI responsibly across mission design, operations, and planning.
6 units covering AI's role in space missions, human-AI collaboration in operations, mission design responsibility, operations support, responsible prompting with mission data, and structured mission planning prompts.
Course Units
✓
AIS.1
AI's role and data importance in space missions
—
✓
AIS.2
Human-AI collaboration in space operations
—
✓
AIS.3
AI's impact on mission design and responsibility
—
✓
AIS.4
AI's role in mission operations support
—
✓
AIS.5
Prompting AI responsibly with mission operation data
—
✓
AIS.6
Structured prompts for effective AI mission planning
—
Map Your Existing Course to AI & Data Skills
Upload a syllabus or share your course goals to see exactly how QuantHub modules fit into your curriculum in minutes.
Always Current & Industry Aligned
AI-powered updates keep coursework relevant and adaptive paths support all skill levels.
Faculty-Ready Teaching Tools
Comprehensive resources, auto-grading, and dashboards enable effective, low-prep instruction.
Critical Thinking Over Button-Pushing
Students learn when and how to apply tools through real-world, messy data cases.
Built for Real Impact
Focused on outcomes that matter, helping learners apply AI confidently in real-world contexts.
Practical AI Fluency
5.0
QuantHub is an exceptional AI ethical foundations learning tool. Its clear, modular design helps students progress quickly while giving faculty meaningful insight into their understanding and development.
Uma Gupta
Associate Professor, USC Upstate
More Clarity for Students
5.0
Since adopting QuantHub, I haven’t had a single student knocking on my door saying they don’t understand the material. Previously, Excel questions alone consumed my office hours.
Greg Cottrell
Senior Instructor, University of Alabama
Faculty-Driven AI Learning
5.0
QuantHub’s modules put faculty in the driver’s seat—flexible enough to fit our courses while delivering practical AI foundations. Makes it easy to bring AI into the classroom.
Dr. Shani Robinson
Dean, Sam Houston State University
Adaptable AI Curriculum
5.0
What we’ve really enjoyed about QuantHub is its modular design—we can select the AI modules we need and easily integrate them into existing courses. It’s been highly effective in bringing AI into our curriculum.
Jeffrey Stinson
Dean, USC Upstate
Bring AI and Digital Fluency Into Your Program—With a Clear Plan
Turn your curriculum into a modern, AI-enabled learning experience that builds real digital fluency for students.