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Course Outline

The AI Shift — Grasping Generative AI

  • Overview of Artificial Intelligence and the specific nature of Generative AI.
  • Distinguishing Generative AI from traditional AI frameworks.
  • A high-level look at the operational mechanics of Generative AI.
  • Common capabilities and real-world applications.
  • Illustrative examples of AI-generated text, images, code, and diverse content types.
  • The impact of Generative AI on workplace efficiency.
  • Spotting opportunities to integrate AI into daily workflows.
  • Practical activity: Investigating the capabilities of Generative AI.

Applied Prompting and Real-World Scenarios

  • Foundations of prompt engineering.
  • The structural components of a successful prompt.
  • Integrating context, clear instructions, constraints, and examples.
  • Crafting precise and unambiguous prompts.
  • Avoiding common pitfalls and optimizing response quality.
  • Refining AI outputs through iterative prompting.
  • Professional use cases:
    • Composing and refining professional emails.
    • Condensing documents and key information.
    • Facilitating creative brainstorming sessions.
    • Developing and restructuring written content.
    • Extracting and organizing data.
    • Generating strategic plans, checklists, and innovative ideas.
  • Live demos and guided practical sessions.
  • Interactive practice within a live-lab environment.

The Responsible User — Security, Privacy, and Ethical AI

  • Comprehending AI inaccuracies and the phenomenon of hallucinations.
  • Acknowledging limitations and verifying AI-generated facts.
  • Handling data privacy and sensitive information.
  • Assessing risks related to data leakage.
  • Determining which data should never be input into AI systems.
  • Security implications specific to Generative AI.
  • Ethical frameworks and responsible adoption.
  • Identifying bias and potentially harmful outputs.
  • Practical protocols for safe and responsible usage.
  • Scenario-based training: Distinguishing between safe and unsafe practices.
  • Open Q&A and discussion.

Implementing Generative AI — Recap and Strategic Action Plan

  • Consolidation of key Generative AI concepts.
  • Review of best practices in prompting.
  • Identifying high-value AI integration points in daily operations.
  • Formulating a personal strategy for AI utilization.
  • Core principles of security and responsible use.
  • Final hands-on exercise and group discussion.
  • Question and answer session.

Requirements

  • A basic understanding of internet usage.

Target Audience

  • Individuals seeking foundational knowledge in generative AI.
 4 Hours

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