Prompt Engineering and Context Engineering for Business Professionals: Getting Started with GAI

Participants will learn how Large Language Models work, understand responsible AI practices, master prompt-writing techniques, and apply advanced prompting strategies to real business scenarios. Throughout the course, learners will complete practical labs using today’s leading AI tools.

Audience

This course is designed for:

• Business Analysts
• Project Managers
• Product Owners
• Business Professionals
• Operations Managers
• HR Professionals
• Marketing and Sales Professionals
• Administrative Professionals
• Team Leaders
• Anyone interested in using Generative AI to improve productivity

Prompt Engineering and Context Engineering for Business Professionals: Getting Started with GAI Outline

What Is AI and Generative AI?

Learning Objective

Understand the fundamentals of Artificial Intelligence, Generative AI, and Large Language Models while building confidence using AI in business.

Topics

• AI & Generative AI
• How Generative AI creates responses
• Popular AI tools
• Business use cases
• AI strengths and limitations
• Common misconceptions about AI

Your First AI Conversation

Students will:

• Ask AI introductory questions
• Compare different AI responses
• Explore follow-up prompting
• Identify strengths and weaknesses of AI-generated answers

Responsible AI

Learning Objective

Understand how to use AI ethically, securely, and responsibly within an organization.

Topics

• Explain Responsible AI & Why Responsible AI matters
• Apply the six guiding principles for responsible AI
• Design a governance system that turns principles into actionable policies and controls
• Take Practical steps to implement responsible AI across teams and processes
• Review: Human oversight, Misinformation, Hallucinations and Bias in AI

Evaluate AI Responsibly

Students will:

• Review AI-generated content
• Identify hallucinations
• Detect bias

Prompt Engineering Fundamentals

Learning Objective

Learn how to write effective prompts that consistently produce useful business results.

Topics

• What is Prompt Engineering?
• Anatomy of an effective prompt
• 5 Steps to an effective Prompt
• 5 Principles of Prompting

Prompting Techniques

• Zero Shot , Few Shot, N Shot prompting
• Dynamic Examples
• Chain-of-Thought

Build Better Prompts – users apply techniques learned to build user stories, generate project plans and explore prompting techniques.

Context Engineering

Learning Objective

Understand why prompting alone falls short for dynamic business applications.

Topics:

• Understand the context window and dynamic system.
• Define Context Engineering vs Prompt Engineering conceptually and operationally.
• Master the foundations of context architecture: Token economics and vector workflows
• Understand the 4 pillars: Write, Select, Compress, Isolate
• Context window: Tools, Knowledge, Instructions
• Explore real-world retrieval strategies (RAG, long-context windows, system states)

Advanced Prompting & Business Applications – If time permits

Learning Objective

Apply advanced prompting techniques to solve real-world business challenges and improve productivity.

Topics

Advanced Prompting

• Step Back Prompting
• Logic of thought Prompting
• Narrative of thought Prompting
• Meta Prompting
• Reflective Prompting
• Build Better Advanced Prompts – users apply techniques learned to generate content applicable to their job.