Giving BAs AI Fluency & Literacy to Use, Analyze, and Recommend AI Solutions
AI usage, productivity, and implementation risk often come from poor assumptions about what AI can and cannot do. It also stems from poor analysis and organizational dynamics in which stakeholders ask for solutions that are either too specific or too generic, and pressure teams to deliver them, rather than solving real problems.
Analysis professionals have a huge role in this dynamic that can change everything!
Analysts are increasingly expected to participate in AI decisions, yet most training focuses on tools or stays abstract. This course fills the gap in understanding AI capabilities: Not from a technical point of view, but from a capability point of view; business uses and patterns of functional usage.
You will build a grounded understanding of AI capabilities, limits, and failure modes, and learn how requirements shift toward hypotheses, experiments, and continuous outcomes in AI-enabled work.
This course explores the skills of:
🎯 Identifying the right AI use cases for specific business scenarios
🎯 Distinguishing between deterministic and probabilistic systems and deciding where each should be applied in a workflow
🎯 Questioning and communicating AI use case fit and risks
What you’ll learn
Students will learn the AI literacy to evaluate AI ideas, surface risk, and make sound judgments without becoming technical specialists.
How to assess AI suitability for a specific business problem before solution design begins
Deterministic vs. Probabilistic capabilities
How AI uses patterns, context, and guidance; and some common use cases for various types of AI
AI beyond popular GenerativeAI models
How to distinguish between automation, augmentation, and autonomy in business contexts
Predictive vs. Generative AI
Assess what types of steps and processes are not a fit for AI
Assess and analyze AI project ideas for capability, risk, and fit
How to frame AI initiatives around measurable outcomes rather than technical features
Learn the difference in how various models use different sources of data.
Your orgs internal AI and the data it has access to
Understand why AI requirements must be framed as testable hypotheses, not fixed specifications.
Translate business intent into experiment design instead of static requirement documents.
Shift from “Is this built correctly?” to “Is this producing the intended outcome?”
Identify which decisions cannot be delegated to AI without oversight.
Establish escalation paths when AI confidence is low or behavior deviates.
Design "human in the loop" and human override mechanisms for high-risk or ambiguous scenarios.
Learn directly from Angela
Angela Wick
25+ years practicing, shaping, and teaching analysis, product, and requirements.
Who this course is for
Business Analysts, Product Owners, Business Systems Analysts, Systems Analysts, Business Process Analysts, and similar roles.
BA Leaders redefining roles for AI-enabled teams
Business Leaders, Project and Product Professionals pulled into AI initiatives without clear accountability
What's included
Live sessions
Learn directly from Angela Wick in a real-time, interactive format.
3 hr Daily Live Online Interactive (and Recorded) Sessions
3 hr Live Online Interactive (and Recorded) Sessions with Angela and other learners, creating a deep experience to engage, interact, and process the learnings. Small-group breakouts not recorded.
Hands-On, High-Engagement Experience
You’ll participate in group discussions, breakout exercises, workbook activities and large group discussions.
Using your own AI tools
Use tools you have access to, and learn to ask for more! This approach ensures the learning is practical and directly applicable to your day-to-day work environment.
Practice Exercises and Reflections
You will get a course workbook with course exercises, reflections, templates, and guides to practice applying to your work.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
2 live sessions • 8 lessons
Week 1
Jun
10
AI Literacy for Business Analysts
Wed 6/104:00 PM—7:00 PM (UTC)Jun
11
AI Literacy for Business Analysts
Thu 6/114:00 PM—7:00 PM (UTC)
AI Literacy for Business Analysts
AI Literacy for Business Analysts
Free resources
Schedule
Live sessions
6 hrs
Live online course Two sessions, 3 hours each
Wed, Jun 10
4:00 PM—7:00 PM (UTC)
Thu, Jun 11
4:00 PM—7:00 PM (UTC)
Projects
2 hrs
Project: Take a business problem, challenge, or opportunity and determine which AI capabilities fit and do not fit and why.
Async content
1 hr
Short videos about AI capabilities
What You’ll Walk Away With
Clear understanding of AI capabilities and your previous experience with them
Experience matching AI capabilities to business workflows, problems, and use cases
Knowledge and strategies to work with stakeholders AI feature and project requests
All course registrants will get 3 FREE months for Angela’s Premium BA-Cube Membership!
Join The 5-Course Series!
Amplify your impact, and save $!
Bundle and Save - Plus Group Pricing
Join all 5 courses and save!
Course 1: The Business Analyst Role in the Age of AI
Course 2: AI Literacy for Business Analysts
Course 3: AI-Accelerated Business Analysis
Course 4: AI-Enabled Systems & Process Design
Course 5: Agentic AI Skills for Business Analysts
Purchase all 5 courses and save $1,000!
Buying all 5 individually costs $ 3,395; buy all 5 now for $2,395! Purchase Here
Have a group? Groups of 3 or more pay $2,000 per person for the entire series!
Email Angela at Angela@BA-Squared.com for a custom invoice.
IIBA Training Partner
8 PDU/CDU Credits for Learners Who Complete the Course. 69 Total PDU/CDU for the 5-Course series!
Frequently asked questions
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Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
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Learn with your teammates
Save 20%+ when 2 or more teammates enroll in the same cohort.
Save 20%+ with a teamPrivate cohort
Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
Book a private cohort$499
USD
3 cohorts