Introduction
The Fundamentals of Prompt Engineering Bootcamp is designed to equip participants with the knowledge and practical skills to communicate effectively with generative AI systems.
Through structured methodologies and hands-on case studies, participants will learn how to design, test, and refine prompts using the Bayfield BRICKS Prompt Strategy Framework; a best-practice model focused on clarity, control, and accountability in AI interaction.
The course aims to develop both technical fluency and critical judgment, enabling professionals to evaluate AI outputs, identify tool-specific strengths and weaknesses, and apply responsible AI principles within real-world business, analytical, and research contexts.
Learning Outcomes
By the end of this course, participants will be able to:
- Describe how generative AI interprets prompts and how design impacts output quality
- Create clear, structured, and context-specific prompts using the Bayfield BRICKS Framework
- Assess strengths and limitations of major AI platforms through practical case studies
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Apply responsible AI practices by verifying outputs and taking intellectual ownership
Course Curriculum
- Introduction (1:08)
- Perplexity: Real - Time Factual Research (14:24)
- Chat GPT: Complex Reasoning and Problem Solving (7:51)
- Claude: Long-context Analysis and Ethical Writing (ft Perplexity) (11:08)
- DeepSeek: Advanced Mathematical Reasoning (7:10)
- Gemini (11:24)
- Test your Knowledge
- Comparative Summary: Copilot's Performance Across AI Tools (3:43)
✔ Practical, hands-on AI prompt exercises
✔ Experience applying prompts across different AI tools
✔ Step-by-step guidance through every concept
✔ Official certificate upon completion
Students may be eligible for a discounted rate on this course. For more information, please contact our sales advisor:
Jacob Noble
j.noble@bayfieldtraining.com
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