AI Literacy for Business Analysts
Angela Wick
BA-Cube Founder | LinkedIn Instructor
Giving BAs AI Literacy to Understand, Evaluate and be Accountable for AI
AI risk often comes from poor assumptions about what AI can and cannot do. It also comes from poor analysis and organizational dynamics of leaders asking for solutions and pressuring teams to deliver solutions 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, rather a capability point of view; business uses and patterns of functional usage.
You will build a grounded understanding of AI capabilities, limits, patterns, 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—and defining clear hypotheses for AI solutions
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
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
Analysts, Project Managers, Business Leaders and others involved in AI discussions or initiatives
Analysis Leaders responsible for AI-related risk
Analysts who want confidence without pretending technical expertise
Course syllabus
2 live sessions • 8 lessons
Week 1
Mar
25
AI Capabilities and the Limits of Certainty
Wed 3/254:00 PM—7:00 PM (UTC)Mar
26
Risk, Accountability, and Human Judgment
Thu 3/264:00 PM—7:00 PM (UTC)
Session 1: March 25th - AI Capabilities and the Limits of Certainty
Session 2: March 26th - Risk, Accountability, and Human Judgment
Schedule
Live sessions
6 hrs / week
Live online course Two sessions, 3 hours each
Wed, Mar 25
4:00 PM—7:00 PM (UTC)
Thu, Mar 26
4:00 PM—7:00 PM (UTC)
Projects
2 hrs / week
Project: Take a business problem, challenge, or opportunity and determine which AI capabilities fir and do not fit and why.
Async content
1 hr / week
Short videos about AI capabilities
Testimonials
I appreciated the feedback and hearing the experiences of others. I liked Angela's hands-on activities that let us experience the concepts and opportunities to unpack it.
Angela explained every concept with an example in layman's terms which allowed us to grasp the concept easily and relate it to our own work.
Group activities, energy from instructor, and the #1 thing was the real world examples. Great positivity from Angela, great teacher.
I liked the structure of the information, the simplicity of the information, the universal examples, and the relevance of the information
I like the group sharing experiences. I love that Angela is so good at consistently giving examples of what she's describing. That helps a lot to visualize and understand more fully.
What You’ll Walk Away With
Practical AI literacy
Confidence to discuss AI ideas to solve for business problems and opportunities
Confidence to challenge AI ideas constructively
All course registrants will get 3 FREE months for Angela’s Premium BA-Cube Membership!.
✅ Join The Full Series! ($$$ - Discounts!)
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.
Frequently asked questions
$499
USD