Prompt Engineering – A Comprehensive Dive into AI Conversation
Design

This one-day course provides a comprehensive understanding of AI and Large Language Models (LLMs), including their architecture and applications. Participants will master prompt engineering, explore advanced techniques, and discuss ethical considerations.

This course is ideal for:

• Those seeking a comprehensive understanding of AI and Large Language Models (LLMs).
• Those eager to apply prompt engineering principles in real-world business scenarios.
• Those who wish to expand their expertise in the field of AI conversation design and prompt engineering.

By the end of the workshop, participants will:

• Understand the Basics of AI and Large Language Models
  • Understand how AI systems use machine learning algorithms like deep learning to perform automated tasks.
  • Gain a non-technical understanding of how Large Language Models (LLMs) like Open AI’s ChatGPT and Google’s Gemini work and understand their architecture.
  • Recognize the importance of prompt engineering in the context of generative AI and effectively using Large Language Models.
• Grasp the Key Uses of Generative AI
  • Learn about the various capabilities of generative AI, such as generating text, classifying text, extracting from text, clustering, rewriting and translating, and summarizing.
  • Get an introduction to using generative AI for data analysis.
• Learn Principles of Good Prompt Design
  • Understand the elements of a good prompt, including clarity, specificity, context-setting, setting realistic constraints and managing output length and verbosity.
  • Learn and use the ACTORS framework to craft efficient and effective prompts.
  • Learn about the concepts of “temperature” and “hallucination” in AI responses.
• Apply Learning to Real Scenarios
  • Practice creating effective prompts based on different scenarios.
  • Apply prompt engineering principles to real-world business applications.
  • Learn to avoid some common mistakes in crafting prompts.
  • Create a framework / template for prompting in specific scenarios.
• Learn and Apply Advanced Prompt Engineering techniques
  • Differentiate between zero-shot and few-shot prompting and learn when to use which technique.
  • Understand chain-of-thought prompting and its role in newer reasoning models.
  • Learn to use advanced prompting techniques like role-play to create a simulation.
• Understand the Limitations and Ethical Considerations of LLMs
  • Reflect on and discuss some of the key issues in Generative AI like copyright infringement, data privacy, misinformation, biases and reliability.
• Envision the future of Generative AI and its Applications
  • See a demo of generative AI for data analysis, image generation and Retrieval Augmented Generation (RAG).
  • Understand the potential future applications of prompt engineering and generative AI like AI Agents for workflow automation.

• Participants must bring their laptops with Microsoft Edge / Google Chrome browsers, MS Excel and MS Word installed.
• Participants must have an account with at least one of the LLMs like ChatGPT, Claude or Gemini. Free account is sufficient.