Prompt Engineering Essentials

Description

Designed for professionals, this module focuses on prompt engineering to optimize AI tools like ChatGPT and Copilot. Participants will learn key prompting techniques as well as adding specificity, chain of thought prompting, and role prompts.

Indicative Duration: 2 training hours
*Duration is adjusted based on the final scope and the target audience.


Scope

1. Introduction to ChatGPT / Copilot
  • How it works and its architecture
2. Introduction to Prompt Engineering
  • Use zero-shot, few-shot, numbered steps, delimiters, specificity to improve GPT results
3. Prompt Engineering
  • Understand chain of thought prompting to add more context
  • Use role prompts to set the context

Learning Objectives

Upon completion of the course participants will be able to:

  1. Understand how ChatGPT and Copilot operate at a high level.
  2. Apply zero-shot, few-shot, and structured prompting techniques.
  3. Use delimiters and specificity to refine AI-generated responses.
  4. Implement chain-of-thought prompting for complex tasks.
  5. Create role-based prompts to guide response tone and context.

Target Audience

  • Roles: Business professionals across all roles & disciplines
  • Seniority Level: All levels โ€“ especially relevant for early adopters and AI-enhanced productivity users

Prerequisite Knowledge

  • No prior technical background required
  • Basic experience using ChatGPT, Copilot, or similar tools is helpful

Delivery Method

Sessions can be delivered via the following formats:

  • Live Online โ€“ Interactive virtual sessions via video conferencing
  • On-Site โ€“ At your organizationโ€™s premises
  • In-Person โ€“ At Code.Hubโ€™s training center
  • Hybrid โ€“ A combination of online and in-person sessions

 

The training methodology combines presentations, live demonstrations, hands-on exercises and interactive discussions to ensure participants actively practice AI in realistic work scenarios.

Tags:

Date

On Demand

Organizer

Code.Hub
Email
[email protected]