Practical LLM & Prompt Engineering for Work
Artificial Intelligence
COURSE OVERVIEW
The Practical LLM & Prompt Engineering for Work workshop is an intensive, hands-on program designed to help professionals effectively leverage Large Language Models (LLMs) to enhance productivity, communication, and decision-making in the workplace.
Over two days, participants will gain a solid understanding of how LLMs function, including their capabilities, limitations, and practical business applications. The course emphasizes structured prompt design, enabling learners to craft clear, context-rich instructions that produce high-quality and reliable outputs.
Participants will explore a wide range of prompting techniques—from basic prompt construction to advanced methods such as few-shot prompting, instruction chaining, and context engineering. Through real-world use cases, they will learn how to apply LLMs to everyday tasks such as email writing, research, content creation, and business analysis.
By the end of the program, participants will be able to design reusable prompt templates, build multi-step prompt workflows, and implement scalable prompt systems that can be adopted across teams and departments.
LEARNING OBJECTIVES
By the end of this course, participants will be able to:
· Understand Large Language Models (LLMs) s
· Design Effective Prompts
· Use Personas to Improve Outputs
· Apply LLMs to Workplace Tasks
· Apply Advanced Prompting Techniques
· Solve Business Problems Using Prompting
· Engineer Context for Complex Tasks
· Build and Scale Prompt Systems
COURSE OUTLINE
Day 1 – Foundations & Core Prompting Skills
· Understanding How LLMs Work
o What is an LLM and how it processes text
o Tokens, context windows, and limitations
o Strengths vs risks in business usage
o Practical examples in workplace scenarios
· Fundamentals of Prompt Design
o What makes a good prompt?
o Clarity vs ambiguity
o Controlling output quality
· Prompt Personas for Better Results
o What are personas and why they matter?
o Designing personas (expert, analyst, advisor, etc.)
o Tone, depth, and reasoning control
o Role-based prompting for business tasks
· Practical Workplace Applications
o Using prompts for:
§ Email writing and communication
§ Document summarization
§ Meeting notes and action items
§ Research assistance
Day 2 – Advanced Prompting & Workflow Design
· Multiple Prompting Techniques
o Zero-shot prompting
o Few-shot prompting (examples-based)
o Step-by-step reasoning prompts
o Instruction chaining
· Solving Workplace Problems with Prompting
o Problem → Prompt strategy mapping
o Use cases:
§ Business analysis
§ Customer response generation
§ Content creation
§ Decision support
· Context Engineering for Complex Workflows
o What is context engineering?
o Adding background, constraints, and memory
o Structuring multi-step prompts
o Creating reusable prompt templates
· Building Prompt Systems
o Combining multiple prompts into systems
o Standardizing templates for teams
o Creating internal prompt libraries
o Scaling usage across departments
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