Specialization & Learning Path · 2026-07-17
IBM AI Enterprise Workflow
Coursera · IBM
Verify credential
Course 1/6AI Workflow: Business Priorities and Data Ingestion
Verify credential ↗2026-07-17Grade: 86.80%4–5 total study hoursMark J Grover · Ray Lopez, Ph.D.ID: Z7AS67M98FGF
Business PrioritiesDesign ThinkingData IngestionMarket Opportunities
Course 2/6AI Workflow: Data Analysis and Hypothesis Testing
Verify credential ↗2026-07-17Grade: 100%7.5–9 total study hoursMark J Grover · Ray Lopez, Ph.D.ID: 2EVT3RMNQTOZ
Data AnalysisStatistical Hypothesis TestingData Presentation
Course 3/6AI Workflow: Feature Engineering and Bias Detection
Verify credential ↗2026-07-17Grade: 100%7.5–9 total study hoursMark J Grover · Ray Lopez, Ph.D.ID: MJMEQWUJ5G3D
Feature EngineeringBias DetectionDimensionality Reduction
Course 4/6AI Workflow: Machine Learning, Visual Recognition and NLP
Verify credential ↗2026-07-17Grade: 100%7.5–9 total study hoursMark J Grover · Ray Lopez, Ph.D.ID: UXS635PMYTHY
Machine LearningModel TrainingVisual RecognitionNatural Language Processing
Course 5/6AI Workflow: Enterprise Model Deployment
Verify credential ↗2026-07-17Grade: 91.66%7.5–9 total study hoursMark J Grover · Ray Lopez, Ph.D.ID: ENLTFLTVDFL5
Enterprise AIModel DeploymentModel EvaluationMLOps
Course 6/6AI Workflow: AI in Production
Verify credential ↗2026-07-17Grade: 100%7.5–9 total study hoursMark J Grover · Ray Lopez, Ph.D.ID: 6POE7R2ZXX8Y
AI in ProductionMLOpsModel MonitoringProduction Systems
Overview
A six-course IBM specialization covering the complete enterprise AI workflow, from translating business priorities into technical plans through data, modeling, deployment, and production operations.
Practical application
Strengthened an end-to-end approach to building production AI systems with data ingestion, hypothesis testing, bias-aware feature engineering, model evaluation, deployment, and monitoring.