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- User Authentication
- SUDESH DIPAK BORGAONKAR's Credentials
- SUDESH DIPAK BORGAONKAR's Wallet
- Track 4: Cloud Computing and MLOps in AI/ML
- AI and ML for Decision-makers
- Final Exam: AI and ML for Decision-makers
- Cloud Computing and MLOps: Introduction to MLOps
- Cloud Computing and MLOps: ML Pipelines
- Cloud Computing and MLOps: Cloud and AI
- Visualizing Data for Impact: Data Storytelling
- Visualizing Data for Impact: Analyzing Misleading Visualizations
- Track 3: Visualizing Data for Impact
- Visualizing Data for Impact: Visual Design Theory
- Visualizing Data for Impact: Introduction to Data Visualization
- Track 2: Developing an AI/ML Data Strategy
- Developing an AI/ML Data Strategy: Data Management & Governance in AI
- Developing an AI/ML Data Strategy: Data Bias & Ethical Considerations in AI
- Developing an AI/ML Data Strategy: Aspects of a Robust AI Strategy
- Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
- Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
- Developing an AI/ML Data Strategy: Building an AI-powered Workforce
- Artificial Intelligence: Basic AI Theory
- Track 1: Fundamentals of AI and ML
- Fundamentals of AI & ML: Metrics & Evaluation
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Fundamentals of AI & ML: Foundational Data Science Methods
- Fundamentals of AI & ML: Advanced Data Science Methods
- Cloud Computing Fundamentals: Cloud Virtualization & Data Centers
- DevOps Agile Development: Agile Processes for DevOps
- SUDESH DIPAK BORGAONKAR's Transcript
- SUDESH DIPAK BORGAONKAR's Wallet
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