Course overview
Provides integrated practice through a complete case study focused on a mid-size bank: process mapping, application of the evaluation grid and prioritization. Includes analysis of key success factors and risks to watch during AI deployment.
Introduces a running case study using a mid-size bank as a concrete application context.
Describes phased application: building the process framework first, then performing a full evaluation using the grid.
Demonstrates how to progress through phases 2–4 to produce a prioritized list of actionable initiatives.
Identifies key success factors and common pitfalls to anticipate during an AI-driven transformation.
1lessons
1lessons
4activities
0exercises
0videos
Skills and topics covered
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