Course Overview

The Prompt Engineering Course provides learners with in-depth knowledge and practical techniques to design effective prompts for generative AI systems. Participants will explore foundational principles of prompt engineering, optimisation techniques, and advanced use cases for enhancing AI outputs. The course covers strategies for improving response accuracy, controlling tone and style, and applying AI tools to real-world scenarios. By the end of the course, learners will be prepared to create high-quality prompts that unlock the full potential of generative AI.

 

Prerequisites

Basic familiarity with generative AI tools like ChatGPT or Gemini is recommended but not required.

Target Audience

This course is ideal for business professionals, content creators, developers, marketers, and individuals seeking to optimise their interactions with AI tools. It is suitable for both beginners and experienced AI users.

Course Highlights

  • Understand the fundamentals of generative AI and the role of prompt engineering.
  • Learn techniques for crafting prompts to achieve desired outcomes.
  • Develop skills to customise outputs with advanced prompt structures.
  • Explore real-world applications of prompt engineering across industries.
  • Gain insights into iterative improvement and prompt debugging.

Course Objectives

By the end of this course, learners will be able to:

  • Explain the principles and importance of prompt engineering in generative AI.
  • Design clear, structured prompts to achieve specific AI responses.
  • Optimise prompts to improve output accuracy, tone, and format.
  • Use advanced techniques like chaining and multi-turn prompts for complex tasks.
  • Identify and mitigate biases in AI outputs through prompt refinement.
  • Apply prompt engineering techniques to industry-specific use cases.
  • Debug and iterate on prompts to achieve desired results.
  • Integrate generative AI tools into personal and professional workflows.
  • Communicate effectively with AI tools to maximise productivity.
  • Adhere to ethical guidelines and best practices in prompt design.

Course Outline

Instructional Methods: Group discussions on AI and prompt concepts, practical demonstrations, and case studies on successful prompts.

Topics Covered:

  • What is prompt engineering and why it matters.
  • Overview of generative AI systems and their limitations.
  • The role of context and specificity in crafting prompts.
  • Common challenges in prompt-based AI interactions.
  • Understanding the relationship between input prompts and outputs.

Instructional Methods: Hands-on exercises in prompt creation, group discussions on effective design, and practical examples of prompt templates.

Topics Covered:

  • Structuring prompts for clarity and precision.
  • Using explicit instructions to guide AI responses.
  • Adding examples and constraints for desired output control.
  • Techniques to refine prompts for creative, analytical, and technical tasks.
  • Balancing detail and brevity in prompt design.

Instructional Methods: Practical exercises in output evaluation, group discussions on optimisation strategies, and case studies on prompt improvement.

Topics Covered:

  • Evaluating AI-generated responses for quality and relevance.
  • Debugging and iterating on prompts for better results.
  • Controlling tone, style, and format of AI outputs.
  • Using multi-turn conversations to refine interactions.
  • Combining prompts with tools like APIs for enhanced functionality.

Instructional Methods: Hands-on exercises in advanced techniques, group discussions on creative prompts, and practical demonstrations of complex use cases.

Topics Covered:

  • Prompt chaining: linking multiple prompts for complex tasks.
  • Role-playing and scenario-based prompts for contextual results.
  • Fine-tuning outputs with temperature, length, and format parameters.
  • Creating reusable prompt templates for specific workflows.
  • Adapting prompts for multimodal AI systems (text, image, and audio).

Instructional Methods: Group discussions on use cases, practical exercises in application scenarios, and case studies on industry-specific prompts.

Topics Covered:

  • Content creation: blogs, emails, scripts, and marketing copy.
  • Data summarisation, translation, and report generation.
  • AI-assisted brainstorming and ideation for innovation.
  • Educational applications: learning tools and knowledge retrieval.
  • Integrating AI tools into workflows for productivity gains.

Instructional Methods: Group discussions on ethical considerations, practical activities to ensure responsible use, and case studies on bias mitigation.

Topics Covered:

  • Addressing biases and ethical challenges in AI-generated content.
  • Ensuring compliance with privacy and copyright standards.
  • Managing risks of over-reliance on AI outputs.
  • Establishing guidelines for responsible prompt engineering.
  • Maintaining transparency and trust in AI-driven processes.

Certification

A certificate of completion will be awarded upon successful completion of the course.

Course Fees

$788 $488

Prompt Engineering

Learn Advanced Techniques for Optimising AI Prompts and Outputs

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Learn Advanced Techniques for Optimising AI Prompts and Outputs

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