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Course Outline

The AI Revolution — Understanding Generative AI

  • Overview of Artificial Intelligence and the specifics of Generative AI
  • Distinguishing features of Generative AI compared to traditional AI models
  • High-level explanation of how Generative AI functions
  • General capabilities and real-world applications of Generative AI
  • Illustrative examples of AI-generated text, images, code, and other media
  • Impact of Generative AI on workplace efficiency and productivity
  • Spotting opportunities to integrate AI into daily workflows
  • Practical exercise: Exploring the capabilities of Generative AI

Practical Prompting and AI Use Cases

  • Introduction to the concept of prompt engineering
  • Analyzing the structure of a high-quality prompt
  • Incorporating context, clear instructions, constraints, and examples
  • Techniques for writing precise and specific prompts
  • Avoiding common prompting errors and strategies for improvement
  • Using iterative prompting to refine AI-generated outputs
  • Practical workplace applications:
    • Drafting and refining professional emails
    • Summarizing lengthy documents and key information
    • Brainstorming innovative ideas
    • Creating and restructuring content
    • Extracting and organizing data
    • Generating plans, checklists, and conceptual ideas
  • Live demonstrations accompanied by guided exercises
  • Hands-on practice in a live-lab environment

The Safe User — Security, Privacy, and Responsible AI

  • Understanding AI inaccuracies and the phenomenon of hallucinations
  • Acknowledging limitations and verifying AI-generated information
  • Handling data privacy and confidential information
  • Assessing risks associated with data leakage
  • Defining types of information that should never be input into AI tools
  • Security vulnerabilities linked to Generative AI
  • Ethical frameworks and responsible usage of AI
  • Identifying bias and potentially harmful AI-generated content
  • Practical guidelines for secure and responsible AI adoption
  • Scenario-based exercises: Distinguishing between safe and unsafe AI practices
  • Q&A and discussion

Putting Generative AI into Practice — Summary and Action Plan

  • Review of core Generative AI concepts
  • Summary of effective prompting strategies
  • Identifying high-value AI opportunities within participants' daily operations
  • Developing a personalized AI usage plan
  • Reinforcement of key security and responsible-use principles
  • Final practical exercise and group discussion
  • Questions and answers

Requirements

  • Basic familiarity with internet usage

Target Audience

  • Individuals seeking a foundational understanding of generative AI
 4 Hours

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