Prompt Engineering for AI

This instructor-led Prompt Engineering for AI program equips participants with advanced, practical skills to design, refine, and optimize prompts for leading AI language models across multiple platforms.

Designed for business professionals, developers, content creators, and strategists, the program explores prompt design techniques, platform differences, practical use cases, and real-world workflows to unlock the full value of generative AI.

Participants will learn hands-on strategies to drive better results from tools like OpenAI’s ChatGPT, Anthropic Claude, Google Gemini, Microsoft Copilot, MidJourney, and more.

Overview

Duration & Delivery

• Format: Instructor-led training (Online or In-Person)

• Duration: 2–3 Days (customizable to client needs)

• Includes: Interactive lectures, live demos, hands-on labs, real-world case studies, course materials

• Instructor: AI practitioner with experience in prompt engineering across multiple platforms

Learning Objectives

By the end of this program, participants will be able to:

• Understand the principles of prompt engineering and how large language models (LLMs) work

• Design, test, and refine effective prompts for multiple AI platforms

• Compare platform differences (OpenAI ChatGPT, Anthropic Claude, Google Gemini, Microsoft Copilot, etc.)

• Leverage system instructions, role prompting, and context for better results

• Create structured outputs, templates, and workflows

• Use AI tools for business writing, code generation, analysis, research, and creative tasks

• Implement ethical and secure prompt practices

Program Features

• Vendor-neutral approach covering multiple AI platforms

• Real-world use cases and live demos

• Hands-on prompt engineering labs

• Best practices for advanced prompt design

• Templates and prompt libraries for business, development, and creative work

• Guidance on integrating AI into real workflows

• Delivered by an experienced AI practitioner and trainer

Detailed Course Schedule

Day 01: Foundations of Prompt Engineering and AI Platforms

• How LLMs work: basics of generative AI and transformer models

• Introduction to leading platforms:

  • OpenAI ChatGPT

  • Anthropic Claude

  • Google Gemini

  • Microsoft Copilot

  • Other generative AI tools (MidJourney, DALL·E)

• Core principles of prompt engineering

  • Clarity, context, instruction specificity

• Hands-on practice: Crafting simple prompts on different platforms

• Comparing outputs across AI models

Outcome: Ability to explain prompt engineering fundamentals and recognize differences between major AI platforms.

Day 02: Advanced Prompt Design and Use Cases

• Advanced prompting techniques:

  • Role prompting

  • System instructions

  • Chain-of-thought prompting

  • Few-shot learning

• Designing prompts for:

  • Business writing (emails, reports, summaries)

  • Creative generation (storytelling, marketing copy)

  • Coding and technical assistance

  • Research and analysis

• Platform-specific differences and strengths

  • Managing tokens, context windows, temperature

• Hands-on labs: Iterative prompt refinement

• Ethical considerations and avoiding prompt misuse

Outcome: Skills to design effective, advanced prompts tailored to different use cases and platforms.

Day 03 (Optional/Extended): Integrating AI into Business Workflows

• Building prompt templates and libraries for teams

• Automating tasks with AI:

  • Customer support drafting

  • HR and training materials

  • Marketing campaigns

  • Data analysis and reporting

• Integrating AI tools into existing software (e.g., Microsoft 365 Copilot, Google Workspace)

• Hands-on project: Design a workflow using AI prompts

• Review, Q&A, and action planning

Outcome: Confidence to implement AI prompt workflows in real business contexts.

Hands-On Learning Approach

• Interactive instructor-led sessions

• Live demos on multiple AI platforms

• Guided labs with real-world scenarios

• Group discussion and collaborative prompt design

• Personalized feedback from the instructor

• Take-home prompt templates and cheat sheets

Unlock the power of AI across all major platforms. Master the art and science of prompt engineering to drive real business results.

Prerequisites

• Basic computer literacy

• Familiarity with AI concepts is helpful but not required

• Business analysts and strategists using AI for planning and ideation

• Developers and technical leads integrating AI into applications

• Content creators, marketers, and copywriters automating workflows

• Customer support managers exploring AI chatbots

• HR, L&D, and training professionals designing AI-powered learning

• Anyone seeking to master prompt engineering across multiple AI tools

Who Should Attend?

Certification & Completion

Participants receive a Certificate of Completion, demonstrating mastery of prompt engineering for multi-platform AI use.
This program also prepares participants for further specialization in AI integration, prompt libraries, and advanced automation techniques.