Intermediate AI Prompting Mastery - AI Consultancy

Intermediate AI Prompting Mastery

Transform Your Business with Advanced AI Communication

Module 1 of 10
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Module 1: Introduction to Intermediate Prompting

🎧 Audio narration available for this module

Welcome to Intermediate Prompting Mastery!

You've mastered the basics of prompting, and now you're ready to unlock the true power of AI collaboration. This intermediate course will transform you from someone who uses AI occasionally into someone who leverages AI strategically for business success.

What You'll Learn:

  • Advanced Chain-of-Thought reasoning techniques
  • Business automation and workflow optimization
  • Google's professional 5-step framework
  • Meta-prompting for continuous improvement
  • Industry-specific business applications

Course Overview:

10 comprehensive modules • Business-focused scenarios • Professional certification • Real-world applications

Module 2: Chain-of-Thought Reasoning

🎧 Audio explains Chain-of-Thought step-by-step

Master Step-by-Step Reasoning

Chain-of-Thought (CoT) prompting is a powerful technique that guides AI through complex reasoning by breaking down problems into logical steps. This approach dramatically improves accuracy and reliability for business applications.

CoT Framework:

  1. Understand the problem - Clearly define what needs to be solved
  2. Identify key components - Break down into manageable parts
  3. Apply logical reasoning - Work through each step methodically
  4. Reach conclusion - Synthesise findings into actionable results

Business Example:

Prompt: "Help me develop a pricing strategy for our new product."

CoT Enhancement:

"Let's work through this step by step: 1) First, analyse our target market and competitor pricing 2) Then, calculate our costs and desired profit margins 3) Next, consider value proposition and customer willingness to pay 4) Finally, recommend optimal pricing tiers with justification for each decision."

Key Benefit:

CoT prompting increases accuracy by up to 300% for complex business decisions and ensures transparent, auditable reasoning.

Module 3: Self-Consistency Methods

🎧 Learn about multiple reasoning paths

Multiple Reasoning Paths for Better Results

Self-consistency enhances Chain-of-Thought by generating multiple reasoning paths and selecting the most consistent answer. This technique is particularly powerful for complex business decisions where accuracy is crucial.

Self-Consistency Process:

  1. Generate multiple CoT reasoning paths
  2. Compare different approaches to the same problem
  3. Identify the most consistent solution
  4. Validate results across different reasoning methods

Business Application:

Example: Market Entry Strategy

"Please provide three different approaches for entering the European market, using different analytical frameworks (SWOT, Porter's Five Forces, and PESTLE analysis). Then identify the most consistent recommendations across all three approaches."

Pro Tip:

Use phrases like "Let's approach this from multiple angles" or "Please provide 3 different reasoning paths" to activate self-consistency in your prompts.

Module 4: Role Prompting Mastery

🎧 Discover the power of role-based prompting

Industry-Specific AI Personas

Role prompting assigns specific expertise and perspectives to AI, dramatically improving response quality and relevance. By defining clear roles, you tap into specialised knowledge domains for superior business outcomes.

Marketing Expert Role:

"Act as a senior marketing strategist with 15 years experience in B2B SaaS. Analyse our campaign performance and provide actionable recommendations."

Financial Analyst Role:

"Take the role of a CFO reviewing quarterly results. Assess our financial health and identify areas for cost optimisation."

Role Definition Framework:

  • Expertise Level: Junior, Senior, Expert, C-Level
  • Industry Focus: SaaS, Retail, Manufacturing, Healthcare
  • Functional Area: Marketing, Sales, Operations, Finance
  • Communication Style: Analytical, Creative, Strategic, Tactical

Advanced Tip:

Combine roles for complex scenarios: "Act as both a marketing strategist and data analyst to evaluate our customer acquisition funnel."

Module 5: Google's 5-Step Framework

🎧 Master Google's professional framework

Professional Prompt Architecture

Google's 5-Step Framework is the gold standard for professional prompt engineering, used by leading organisations worldwide. This systematic approach ensures consistent, high-quality results across all business applications.

1. TASK
Define what you want
2. CONTEXT
Provide background
3. EXEMPLAR
Show examples
4. PERSONA
Define the role
5. FORMAT
Specify output

Complete Business Example:

TASK: Create a quarterly business review presentation

CONTEXT: Our SaaS company had mixed Q3 results - revenue up 15% but customer churn increased to 8%

EXEMPLAR: Include slides covering: Executive Summary, Key Metrics, Challenges, Opportunities, Action Plan

PERSONA: Act as a senior business analyst presenting to the board of directors

FORMAT: Provide slide titles, key bullet points, and presenter notes for a 20-minute presentation

Framework Benefits:

  • Consistent professional results across teams
  • Reduces revision cycles by 70%
  • Scales expertise across organisation
  • Works with any AI model or platform

Knowledge Check: Modules 1-5

Test Your Understanding

Complete this quiz to continue to advanced modules. You need 80% (4/5) to pass.

1. What is the main benefit of Chain-of-Thought prompting?

2. In Google's 5-Step Framework, what does EXEMPLAR mean?

3. Self-consistency methods involve:

4. Role prompting is most effective when you:

5. The correct order of Google's 5-Step Framework is: