1. Basics of Digital Pathology 2. The 5 S's for Success (Sponsorship, Staffing, Storage, Space, Scanners) 3. Pre-analytics 4. Analytic and post-analytic factors 5. Use cases in Anatomic Pathology 6. Use Cases in Clinical Pathology 7. The Pathologist's Portal: optimal integration of digital data 8. Regulatory aspects of digital pathology 9. The basics of Machine Learning and AI 10. Machine Learning and AI applications 11. Integration of Diagnostic Imaging in Radiology and Pathology