Prompt Engineering

Skill Goal:

Build a clear understanding of prompt engineering and its role in improving AI-generated results.

Skills Developed:

• Explain what prompt engineering is and why it matters in AI systems

• Understand how prompts influence outputs from Large Language Models (LLMs)

• Identify different types of prompts used in AI tools

• Recognize effective vs ineffective prompts

• Understand real-world applications of prompt engineering

Sprint Outcome:

Ability to explain prompt engineering concepts and identify prompt quality in AI interactions.

Skill Goal:

Understand how LLMs process prompts and generate responses.

Skills Developed:

• Explain how LLMs use tokens and context windows

• Understand how temperature and sampling influence outputs

• Recognize how prompt length impacts responses

• Identify limitations of LLMs such as token limits and hallucinations

• Understand how AI interprets instructions

Sprint Outcome:

Ability to design prompts that work effectively within LLM processing constraints.

Skill Goal:

Design prompts that produce precise, useful, and consistent AI responses.

Skills Developed:

• Structure prompts using clear instructions

• Differentiate instruction-based and conversational prompts

• Use context and examples to guide AI output

• Apply formatting and delimiters to improve clarity

• Improve prompt specificity to reduce ambiguity

Sprint Outcome:

Ability to write clear, structured prompts that consistently produce high-quality outputs.

Skill Goal:

Use proven prompting frameworks to guide AI reasoning and responses.

Skills Developed:

• Apply common prompt patterns for rewriting and summarization

• Understand chain-of-thought prompting concepts

• Create reusable prompt templates

• Apply structured prompting techniques for complex tasks

• Adapt frameworks for different AI tools

Sprint Outcome:

Ability to use structured prompt frameworks to improve reasoning and output accuracy.

Skill Goal:

Build structured workflows using prompts that guide AI through complex tasks.

Skills Developed:

• Use role-based instructions to guide AI behavior

• Create system-style prompts for structured responses

• Design multi-step prompt workflows

• Apply prompt chaining techniques

• Understand how prompts integrate with APIs and automation systems

Sprint Outcome:

Ability to build multi-step AI workflows using structured prompt sequences.

Skill Goal:

Use prompt engineering techniques to solve real-world tasks across industries.

Skills Developed:

• Generate code using structured prompts

• Debug and optimize code using AI prompt

• Create prompts for business communication and report

• Generate SQL queries and analyze data with AI

• Design prompts for marketing, education, and customer support

Sprint Outcome:

Ability to apply prompt engineering across technical and business workflows.

Skill Goal:

Evaluate prompt performance and improve response quality.

Skills Developed:

• Measure prompt effectiveness and accuracy

• Identify hallucinations and misleading outputs

• Compare outputs from different prompt versions

• Debug prompts that generate incorrect responses

• Optimize prompts for consistency and reliability

Sprint Outcome:

Ability to systematically test, refine, and optimize prompts for better AI performance.

Skill Goal:

Apply ethical and secure practices when designing prompts for AI systems.

Skills Developed:

• Identify bias and misinformation risks in AI outputs

• Recognize prompt injection attacks and security issues

• Design prompts that reduce harmful or misleading responses

• Apply ethical AI guidelines

• Understand responsible AI usage practices

Sprint Outcome:

Ability to design prompts that follow ethical, safe, and responsible AI practices.

Project Goal:

Design and implement a complete prompt engineering workflow that solves a real-world problem using AI tools such as ChatGPT or other LLM platforms.

Skills Demonstrated:

• Analyze a real-world task or workflow that can be improved with AIDefine the objective and expected AI outputs

• Design structured prompts for the task

• Apply prompt frameworks and role-based prompting

• Create multi-step prompt workflows

• Test and refine prompts for accuracy and reliability

• Evaluate output quality and reduce hallucinations

• Document prompt templates for reuse

• Demonstrate ethical and responsible prompt usage