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LinkedIn Learning

Your Top AI Questions Answered: AI Literacy for Everyone

via LinkedIn Learning

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Overview

Syllabus

Introduction
  • Answers to your most common AI questions
1. Understanding AI and GenAI's Unique Capabilities
  • A quick history of AI
  • What's the difference between traditional AI and generative AI?
  • Why does AI cost so much to create?
2. Generative AI Technical Concepts
  • What's an LLM?
  • What does it mean to train an AI model?
  • What is a GPU?
  • What is an AI agent and how can it help you?
3. Working with Generative AI Tools
  • What makes an effective prompt?
  • What is "Chain of Thought" prompting?
4. Data and Quality Considerations
  • Why does quality matter in AI?
  • How can we ensure data integrity in AI?
  • How does data quality impact AI outcomes?
5. Ethics and Compliance
  • What are the ethical considerations in AI?
  • How can we practice responsible AI?
  • What are the regulations and compliance requirements for AI?
  • The environmental impact of AI: When shouldn't we use it?

Taught by

Dr. Marily Nika

Reviews

4.6 rating at LinkedIn Learning based on 8930 ratings

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