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Course Outline
Module 1 – Fundamentals of Generative AI and Prompt Engineering
- Core concepts and operational mechanisms of generative AI.
- Definition of prompt engineering and its importance.
- Structure of an effective prompt.
- Distinctions between simple and advanced prompts.
Module 2 – Prompt Creation and Application by Work Area
- Administrative:
- Drafting documents, reports, and opinion pieces.
- Standardizing internal and external communications.
- Relationship Management:
- Facilitating communication with clients, partners, and internal stakeholders.
- Generating quick, clear, and personalized responses.
- Analytical:
- Supporting decision-making through data analysis and simulated scenarios.
- Extracting insights from reports.
- Automation:
- Organizing and streamlining repetitive tasks.
- Building automated workflows using chained prompts.
- Specialized:
- Generating legal, commercial, technical, and analytical content.
Module 3 – Best Practices and Limitations
- Prompt adjustments and refinements.
- Avoiding generic or inaccurate responses.
- Identifying AI biases and limitations.
Module 4 – Ethics, Privacy, and Responsibility
- Safe and responsible AI usage in corporate contexts.
- Managing sensitive data and confidential information.
- Internal guidelines and compliance requirements.
Summary and Next Steps
Requirements
- Familiarity with workplace processes.
- Experience using digital communication tools.
- Basic understanding of data-driven decision-making.
Audience
- Corporate professionals.
- Team leaders.
- Administrative and analytical staff.
8 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
