Fundamentals of Prompt Engineering Bootcamp
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 prompt design influences output quality.
- Use the Bayfield BRICKS Framework to create clear, structured, and context-specific prompts across different AI tools.
- Assess the strengths and limitations of major AI platforms through practical case studies.
- Apply responsible AI principles by verifying information and taking intellectual ownership of outputs.
Who will benefit from this course?
This course is perfect for anyone looking to use AI with greater confidence and achieve more reliable,high-quality results. It’s especially suited for:
- Individuals new to AI who want to understand how generative AI operates and learn effective ways to interact with it.
- Research professionals, consultants, and analysts who utilize AI for commercial or academic research and need a solid process to extract insights and solve problems.
- Managers and decision-makers interested in implementing AI responsibly within their organisations and enthusiastic about the possibilities of automation.
Course Outline
Fundamentals of Prompt Engineering
- Introduction to Generative AI
- Bayfield BRICKS Prompt Engineering Strategy
- Good vs Poor Prompt Processes
- Bayfield BRICKS Prompt Strategy: Best Practice Applications
Using Prompt Engineering for AI Tools Review
- Recommended reading: Official AI Tool Documentation
- The AI Knowledge Correlation Matrix
Case Studies and Use Case Comparisons
- Perplexity: Real -Time Factual Research: Updating Assumption Data in a Commercial Office Property Portfolio DCF mode
- Chat GPT: Complex Reasoning and Problem Solving: Leveraging AI for Real Estate Market Sentiment Analysis
- Claude: Long – context Analysis and Ethical Writing: Market Outlook Automation
- DeepSeek: Advanced Mathematical Reasoning: AI Generated Sensitivity Analysis
- Gemini: AI- Assisted Investment Screening – The logistics Opportunity
- Comparative Summary: Copilot’s Performance Across AI Tools
Responsible AI
- Case Study: The Reputational Risks of Irresponsible AI Use.
Course Details
Time to complete: 8 Hours
Delivery: Online
Student Discount: Available on request
Buy Online: Online Learning Academy
Price Per Person
Online
- Course Delivery
- Course Files
- CPD Accredited Certificate
- Online Learning Resources
