Prompt course · 9 lessons · 25 prompts · 1 hour · Beginner
AI for AI Consultants
Learn to use AI for client discovery, use case planning, data checks, strategy drafts, vendor reviews, implementation, training, and impact reporting. Practice prompts you can adapt to each client.
What you'll learn
- Discovery prep: Prepare and synthesize client discovery sessions so you understand business needs faster.
- Opportunity spotting: Generate and prioritize realistic AI use cases tied to the client's business problems.
- Data readiness: Assess whether a client's data can support an AI project and explain gaps clearly.
- Strategy drafting: Shape a phased AI strategy, roadmap, and executive narrative that fits the client's goals.
- Vendor selection: Shortlist tools, define evaluation criteria, and prepare vendor questions for a client's needs.
- Implementation oversight: Turn requirements into implementation plans and troubleshoot issues during a pilot or rollout.
- Training and change: Create staff training, prompt guides, and change communication for AI adoption.
- Impact and ROI: Define metrics, estimate returns, and report the business impact of an AI initiative.
What's inside
9 lessons · 25 prompts- Before you start · framework course RACE Prompt Framework: Role, Action, Context, ExpectationRACE fits AI consulting by defining role, action, context, and expected quality when you draft a client's AI adoption roadmap.
- Start here Priya's Thursday, two waysA day in the life of an AI Consultant, before and after these prompts.
- 01 Lesson 1 · 3 prompts Client Discovery Basics
- 02 Lesson 2 · 3 prompts Spotting AI Opportunities
- 03 Lesson 3 · 2 prompts Data Readiness Checks
- 04 Lesson 4 · 3 prompts AI Strategy Drafting
- 05 Lesson 5 · 4 prompts Tool And Vendor Selection
- 06 Lesson 6 · 2 prompts Implementation Oversight
- 07 Lesson 7 · 3 prompts Training And Change Management
- 08 Lesson 8 · 3 prompts Measuring Impact And ROI
- 09 Lesson 9 · 2 prompts Client Communication And Admin
About this course
7 topicsPrompt Course for AI Consultants at Work
AI consultants spend their days turning messy client needs into clear plans. This course gives you prompts for each stage, from first discovery to final impact report.
You will practice with ChatGPT, Claude, or Gemini and learn how to adapt each prompt to the client in front of you. The lessons follow the order of real consulting work, so you can use them right away.
The lessons
- Client Discovery Basics: Use AI to prepare and synthesize client discovery sessions so you understand business needs faster.
- Spotting AI Opportunities: Use AI to generate and prioritize realistic AI use cases tied to the client's business problems.
- Data Readiness Checks: Use AI to assess whether a client's data can support an AI project and explain gaps clearly.
- AI Strategy Drafting: Use AI to shape a phased AI strategy, roadmap, and executive narrative that fits the client's goals.
- Tool And Vendor Selection: Use AI to shortlist tools, define evaluation criteria, and prepare vendor questions for a client's needs.
- Implementation Oversight: Use AI to turn requirements into implementation plans and troubleshoot issues during a pilot or rollout.
- Training And Change Management: Use AI to create staff training, prompt guides, and change communication for AI adoption.
- Measuring Impact And ROI: Use AI to define metrics, estimate returns, and report the business impact of an AI initiative.
- Client Communication And Admin: Use AI to prepare proposals, status updates, and plain-English explanations for clients.
What the course covers
The lessons follow the work of an AI consultant in order. You start with Client Discovery Basics, move to Spotting AI Opportunities, check Data Readiness, draft an AI Strategy, choose Tools And Vendors, oversee Implementation, plan Training And Change Management, measure Impact And ROI, and finish with Client Communication And Admin.
Each lesson gives you prompts, examples, and a simple way to review the output before it reaches a client.
How the lessons connect
Discovery notes feed opportunity spotting. Opportunity lists shape data readiness questions. Data gaps inform the strategy, vendor choice, implementation plan, training, and impact measures. The final lesson helps you explain all of it in plain English.
How to use prompts well
Give the AI context about the client, the audience, and the decision at stake. Ask for options, then ask it to compare them. Always edit names, numbers, and claims before you send anything.
Who this course is for
This course is for AI consultants, independent advisors, and internal change leads who guide organizations on AI. It works whether you are new to prompting or already use AI for small tasks.
Safety and privacy
Client data can be sensitive. Use approved tools, remove personal and confidential details, and follow your firm's rules. When in doubt, ask for permission or use a made-up example.
Your next step
Pick one lesson that matches your next client meeting. Run the prompt with real but safe details, then save your edited version as a template. Repeat with the next lesson when you are ready.