Google's Prompt Engineering Course
Master Prompt Engineering As Your AI Foundation
Online Course: Google Prompting Essentials - Coursera
The first thing I did when starting to use AI tools in my workflow was master prompt engineering, and it's exactly what I'd recommend you do too. Out of all the online courses available, Google's Prompt Engineering course on Coursera stands out for covering extensive ground efficiently while building a solid foundation in prompting. The comprehensive 9-hour course offers valuable insights for construction managers - but who has 9 hours to spare? This is your executive summary to help you get started.
Quick Take: What's in Google's Course?
Google's Prompt Engineering course is a deep dive into making AI work for you through better prompts. Think of prompts as instructions you give to AI - the clearer and more specific your instructions, the better your results. The course spans four modules, from basics to advanced techniques.
The Core Framework: TCREI
The foundation of effective prompting comes down to five key steps:
Task: What you want the AI to do
Context: Background information
References: Examples to guide the AI
Evaluate: Review the output
Iterate: Refine until you get what you need
For construction managers, this could mean anything from drafting safety protocols to analyzing project timelines.
Module Breakdown: What You'll Actually Learn
Module 1: Prompt Writing Fundamentals
How to structure clear, effective prompts
Using personas (like "act as a construction safety expert")
Specifying output formats (tables, lists, etc.)
Module 2: Everyday Work Tasks
Draft professional emails and RFIs with construction-specific terminology
Create detailed meeting minutes and daily reports
Build custom trackers for equipment, materials, and labor
Summarize lengthy construction documents, specs, and contracts
Module 3: Data Analysis & Presentations
Analyze complex construction data sets to uncover cost and schedule patterns
Transform spreadsheet data into actionable construction insights
Create compelling data visualizations for stakeholder presentations
Generate presentation content focusing on project metrics and milestones
Module 4: Advanced AI Partnership
Use prompt chaining to break down complex construction planning
Apply Chain-of-Thought prompting for detailed safety and risk assessments
Create custom AI agents for construction simulations and training
Build a construction-specific prompt library for common tasks
Advanced Techniques for Construction Management
Prompt Chaining: Breaking Down Complex Projects
Think of prompt chaining as creating a blueprint for AI. Instead of tackling a complex construction challenge all at once, you break it into manageable steps. For example:
"Draft initial project scope for the new office building"
"Based on this scope, create a detailed material requirements list"
"Using these requirements, generate a preliminary budget breakdown"
Chain-of-Thought & Tree-of-Thought Methods
These techniques help AI think through construction problems systematically:
Chain-of-Thought has AI explain its reasoning step-by-step, perfect for analyzing construction delays or safety incidents. An architect may even use a prompt like the one below to begin thinking about how to respond to an RFI
Review this RFI about the mechanical ductwork conflict with structural steel. Walk through your analysis step by step: What specific drawings and specifications are involved? Where exactly is the conflict occurring? What building codes or standards might be impacted? What are the potential solutions, considering: Cost implications Schedule impact Coordination with other trades Which solution would you recommend and why? Draft an RFI response based on this analysis
Tree-of-Thought explores multiple solutions simultaneously, ideal for value engineering or site layout planning
We need to relocate our material laydown area due to upcoming foundation work. Propose three different solutions, considering: Option A: North side of site Option B: South side of site Option C: Split between multiple locations For each option, analyze: Impact on crane operations Distance to work areas Site traffic flow Protection from weather
Building Your Construction Prompt Library
I recommend creating your own repository of proven prompts for common construction tasks:
RFI generation
Daily report writing
Schedule analysis
Change order documentation
This systematic approach has dramatically improved my efficiency in my daily workflows. What used to take hours now takes minutes. The key is to start small, perfect your prompts for one task at a time, and gradually build your library. Within weeks, you'll find yourself handling more work with less effort.
Time-Saving Tip: Watch the Summary
If you're pressed for time (and who isn't in construction?), there's an excellent YouTube video that condenses the 9-hour course into digestible chunks. The video covers all essential concepts while focusing on practical applications.
Making It Work in Construction
The key to success with AI prompting in construction isn't just knowing the techniques - it's applying them to real-world situations. Start small:
Use chain of thought prompting for safety assessments
Apply tree of thought prompting when evaluating different construction methods
Implement prompt chaining for creating comprehensive project documentation
The Bottom Line
While the full Google course offers deep insights, construction managers can get started with these core concepts today. The most important thing is to begin using these techniques in your daily work, refining them as you go.
Check out Google's full Prompt Engineering course on Coursera, or watch the summary video for a quick start in the links below: