Prompt Engineering: Intermediate Module

Prompt Engineering: Intermediate Module

Duration: Max 20 hours
Mode: Online/Hybrid

Course Description:
The Intermediate Prompt Engineering module builds on foundational skills, guiding learners through more complex prompt engineering techniques and strategies. Over 15-20 hours, participants will engage with advanced prompt structures and learn techniques for improved control over AI outputs, such as using multiple variables, conditional prompts, and sequence control. The course also covers AI model parameters, allowing learners to gain a deeper understanding of how to fine-tune AI responses.

With real-world case studies and practical exercises, learners will explore industry applications such as automated customer service, personalized content recommendations, and instructional design. By mastering these techniques, participants will be able to tailor prompts for specific contexts, enabling more precise and effective AI-assisted workflows.

Modules Overview:

Module 1: Advanced Prompt Structuring Techniques

• Layered Prompts: Building prompts in steps for complex tasks
• Conditional Prompting: Using logic to guide AI responses
• Contextual Prompting: Embedding background information in prompts

Module 2: Controlling AI Responses with Parameters

• Understanding AI Parameters: Temperature, max tokens, etc.
• Fine-Tuning Responses: Adjusting parameters for precision
• Using Stop Sequences: Directing AI on where to end responses

Module 3: Using Variables and Conditional Prompts

• Introduction to Variables: Integrating dynamic inputs in prompts
• Conditional Logic in Prompts: Creating prompts with “if-then” logic
• Multi-Variable Prompts: Managing multiple inputs for complex tasks

Module 4: Sequence Control in Prompt Engineering

• Step-by-Step Prompting: Designing prompts for sequential tasks
• Response Chaining: Using one prompt’s output as another prompt’s input
• Maintaining Context Across Prompts: Managing continuity in dialogues

Module 5: Industry Case Studies: Intermediate Applications

• Customer Service Automation: Designing prompts for virtual assistants
• Personalized Content Recommendations: Building prompts for relevance
• Instructional Design: Crafting prompts for training and education

Module 6: Hands-On Practice with Multi-Variable Prompts

• Creating Customizable Prompts: Adding variables for dynamic responses
• Experimenting with Prompt Combinations: Blending multiple techniques
• Real-World Scenarios: Practice designing prompts for industry tasks

Module 7: Intermediate Project: Designing Context-Specific Prompts

• Project Setup: Identifying a real-world task for prompt creation
• Prompt Development and Testing: Crafting, testing, and refining prompts
• Presentation and Feedback: Sharing results and receiving feedback