UNIT 1:
The Promises of Artificial Intelligence
The Challenges of Artificial Intelligence
Basic Terminology in Artificial Intelligence
Designing Safe and Ethical AI
The Machine Intelligence Continuum
UNIT 2:
Build an AI-Ready Culture : Be Honest About Your Readiness
Choose the Right Champions
Why You Need a Multi-Disciplinary “AI SWAT Team”
Get Organizational Buy-In
Educate Your Stakeholders
Build An Enterprise-Wide Case For AI
Know Your Data and Analytics
Calculate ROI and Allocate Budget
Pick the Right “True North” Metric
UNIT 3:
Common Mistakes With Machine Learning Models
Assessing the Performance of Your Models
Build Machine Learning Models : AI Is Not a Silver Bullet
Machine Learning Workflow & Maintain an Experimental Mindset
Experiment And Iterate & Agile Development & Technical Debt
Deployment and Scaling & Iteration and Improvement.
UNIT 4:
Obstacles And Opportunities & Current Obstacles-What AI Can Do for Enterprise Functions
General And Administrative & Finance and Accounting
Records Maintenance & General Operations.
Business Intelligence And Analytics &Data Wrangling
Data Architecture & Analytics
