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Overview
“Learn Data for AI” is an essential course designed for aspiring AI practitioners, data analysts, and developers who want to master the foundational role of data in artificial intelligence projects. Understanding data collection, preparation, and management is crucial for building effective AI models and delivering reliable insights. This course covers the entire data lifecycle in AI, including data acquisition, cleaning, transformation, labeling, and storage. Participants will explore various data types—structured, unstructured, and semi-structured—and learn best practices for handling each. Emphasis is...
Syllabus
- Critical Thinking and Decision-Making with Data and AI
- Get to Know Critical Thinking and Data-Driven Decision-Making
- Explore the Art of Asking Great Questions
- Discover Decision-Making Frameworks and AI Models
- Apply AI in Decision-Making
- Data Fundamentals for AI
- Learn About Data and AI
- Understand Data and Its Significance
- Discover AI Techniques and Applications
- Know Data Ethics, Privacy, and Practical Implementation
- Data Bias Recognition and Prevention in AI
- Identify and Evaluate Data Bias in AI
- Explore the Impact of Data Bias on AI Applications
- Mitigate Data Bias in AI
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