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LinkedIn Learning

Big Data in the Age of AI

via LinkedIn Learning

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Overview

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Discover the crucial role big data plays in artificial intelligence. Learn how to navigate and extract meaningful insights from vast data sets to tackle real-world problems.

Syllabus

Introduction
  • Big data in the age of AI
1. Defining Big Data
  • The volume, velocity, and variety of big data
  • Machine learning and predictive AI
  • Generative AI
  • Agentic AI
  • Social media and the Internet of Things
  • Data warehouses, data lakes, and the cloud
  • Edge computing, fog computing, and local computing
2. How Is Big Data Used?
  • Big data for competitive advantage
  • Big data for change detection
  • Big data as proxy data
3. Ethics in Big Data
  • Big data and privacy
  • Intellectual property, corporate data, and generative AI
  • Environmental impact of big data and AI
  • Social impact of big data and AI
  • Laws affecting big data and AI
  • Data governance
4. Data Logistics
  • Structured, semi-structured, and unstructured data
  • Batch processing vs. stream processing
  • Distributed storage and processing
  • An evolving data landscape
5. Analyzing Big Data
  • Challenges with data preparation
  • Visualizing big data
  • Data mining
  • Text analytics
  • Sentiment analysis
  • Predictive analytics
  • Anomaly detection
  • Retrieval-augmented generation (RAG)
  • Using big data to make small data
Continuing Your Big Data in AI Learning Journey
  • Next steps and additional resources

Taught by

Barton Poulson

Reviews

4.7 rating at LinkedIn Learning based on 258 ratings

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