Prompt Engineering Online Course

Course overview

Prompt Engineering is a practical course that teaches participants how to communicate effectively with Generative AI and Large Language Models (LLMs) to produce accurate, relevant, consistent, and useful outputs. The course covers prompt design, AI-assisted research, content generation, data analysis, document processing, automation, AI productivity tools, and responsible use of AI. Participants learn how to create effective prompts for ChatGPT, Microsoft Copilot, Google Gemini, Claude, and other AI tools, with practical applications in business, education, research, administration, marketing, data analytics, and professional workflows.

The Prompt Engineering course provides practical training on how to effectively use Generative AI, ChatGPT, Microsoft Copilot, Google Gemini, Claude, and other AI tools to improve productivity and decision-making. Participants learn how to write effective AI prompts, refine and optimize AI-generated responses, automate repetitive tasks, conduct AI-assisted research, generate professional content, analyze data, summarize documents, and develop AI-powered workflows. The course is suitable for business professionals, educators, researchers, managers, entrepreneurs, IT professionals, content creators, and anyone seeking to use AI effectively in the workplace.

Course objectives

• Understand the fundamentals of Generative AI, Large Language Models (LLMs), and AI assistants. Design clear, precise, and effective AI prompts for different tasks and applications. Apply advanced prompting techniques to improve the accuracy, relevance, and consistency of AI-generated outputs. Use AI tools such as ChatGPT, Microsoft Copilot, Google Gemini, and Claude effectively. Apply prompt engineering to research, content creation, data analysis, document processing, and problem-solving. Develop reusable prompts and AI-powered workflows for professional and business tasks. Use AI to improve productivity, decision-making, communication, and automation. Identify common AI limitations, errors, hallucinations, and biases and apply techniques for responsible and reliable AI use.

Who should attend

Course content

• Introduction to Generative AI Generative AI and Large Language Models (LLMs) How AI assistants work Capabilities and limitations of AI Popular AI tools and platforms
• Fundamentals of Prompt Engineering What is a prompt? Anatomy of an effective prompt Instructions, context, role, constraints and output format Clear and precise prompting
• Prompt Design Techniques Zero-shot prompting Few-shot prompting Role-based prompting Instruction-based prompting Contextual prompting Structured prompting
• Advanced Prompting Techniques Chain-of-thought prompting Prompt decomposition Iterative prompting Self-critique and refinement Prompt templates and reusable prompts Multi-step AI workflows
• AI for Content and Communication Reports and proposals Emails and professional communication Presentations and training materials Marketing and social media content Editing, summarization and translation
• AI for Research and Data Analysis AI-assisted research Document and information analysis Data interpretation Excel and spreadsheet assistance Generating analytical insights Visualization and reporting
• AI for Productivity and Automation Workflow automation Task planning and management Meeting and document summarization Creating reusable AI workflows AI-assisted decision-making
• Prompt Engineering for Different AI Tools ChatGPT Microsoft Copilot Google Gemini Claude AI tools for specialized professional tasks
• Responsible and Reliable AI Use AI hallucinations and factual errors Bias and misinformation Privacy and confidential information Copyright and intellectual property Human verification and oversight
• Practical Prompt Engineering Projects Developing professional prompt libraries Creating task-specific prompt templates Building AI-assisted workflows Real-world business and workplace applications

General notes

• Participants will receive comprehensive training manuals and reference materials to support learning throughout the course. The training package includes presentation slides, practical exercises, prompt templates, real-world examples, case studies, practice activities, and recommended AI reference resources. Participants will also have access to practical resources that can be used after the training to continue developing their Generative AI and prompt engineering skills.

Schedule & fees