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Prompt Engineering for Insight, Diagnosis, and Innovation

(CTU-AI355.AA1)
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Skills You’ll Get

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1

Crafting Effective Prompts for Business Analysis and Problem-Solving

  • What Is a Prompt Ecosystem?
  • How Prompts Influence AI Outcomes?
  • Anatomy of a Prompt
  • Types of Prompt Structures
  • Iteration, Refinement, and Constraints
  • Hands-On Lab (Type A): Build & Refine a High-Impact Prompt
  • Troubleshooting Prompt Issues
  • Hands-On Lab Exercise
  • Open-Ended vs. Closed-Ended Prompts
  • Exploratory Prompts
  • Multi-Modal Prompts
  • Contextual Prompts
  • Procedural and Chain Prompts
  • Adaptive Prompts (Dynamic State Prompts)
  • Hands-On Lab (Type B): Classify Prompt Types from Real Examples
  • Hands-On Lab Exercise
2

Using Prompts to Uncover Root Causes and Generate Solutions

  • What Is a Token and Why Does it Matter?
  • Tokenization in the Real World
  • Token Limits, Cost, and Memory
  • Designing Effective Prompts Under Constraints
  • Case Study: GPT-4 Token Optimization
  • Hands-On Lab (Type B): Rewrite Long Prompts into Optimized Prompts
  • Why Syntax Changes Outputs?
  • The Role of Punctuation, Lists, and Sequencing
  • Meta-Prompting: Prompts About Prompts
  • Balancing Simplicity and Complexity
  • Efficient Prompts for Performance and Cost
  • Hands-On Lab (Type B): Syntax Optimization & Efficiency
  • Checklist: Syntax Best Practices
3

Building a Reusable Prompt Framework for Business Functions

  • Iterative Refinement
  • Prompt Chaining and Multi-Step Reasoning
  • Multi-Agent Orchestration with Prompts
  • Multi-Turn Conversation Strategies
  • Zero-Shot and Few-Shot Prompting
  • Prompt Tuning and Embeddings
  • Hands-On Lab (Type C): Build a Mini Multi-Step Prompt Workflow
  • OpenAI: ChatGPT, Playground, and API
  • Google Gemini, Microsoft Copilot, Anthropic Claude and Meta LLaMA
  • HuggingFace and LangChain
  • Writing, Testing, and Debugging Prompts
  • Integration of Prompts Into Workflows and Automation
  • Hands-On Lab (Type B): Build a Simple Assistant in Playground
  • Content Generation Systems
  • Chatbots: The Most Common Applied Use Case
  • Customer Support Flows
  • Documentation Automation
  • Retrieval-Augmented Generation (RAG) Fundamentals
  • Interactive Querying Systems
  • Advanced Embeddings and Document Chunking
  • Multi-Modal Use Cases
  • PROJECT (Type C): Build a Simple Real Chatbot Using Prompts
4

Ethical and Secure Use of Prompts Across Platforms

  • Fairness, Transparency and Accountability in Prompting
  • Prompt-Induced Bias
  • Data Privacy Issues in Prompt Engineering
  • Avoiding Harmful Instructions
  • Case Studies
  • Ethical Prompting Checklist
  • National and International AI Laws
  • Intellectual Property (IP) in AI-Generated Content
  • Data Privacy and Security Requirements
  • Liability in AI Outputs
  • Governance of Prompt-Driven Systems
  • Testing, Monitoring and Evaluation for LLM Systems
  • Risk Management and Compliance
  • Global AI Safety and Accountability Movement
5

Applying Prompt Engineering for Innovation and Continuous Improvement

  • Next-Generation Model Architectures (Beyond Transformers)
  • Multi-Agent Systems (Teams of AIs Working Together)
  • Personalized AI and Continuous Context Memory
  • AR/VR and Evolution of Prompt-based Interaction
  • AI for Social Good
  • Infographic: "What’s Coming After GPT-5?"
  • Define a Real Business Problem
  • Build a Prompt Framework
  • Implement Workflow and Iterations
  • Test Cross-Platform
  • Evaluate Ethics, Cost and Performance
  • Present the Solution

1

Crafting Effective Prompts for Business Analysis and Problem-Solving

  • Building and Refining High-Impact Summarization Prompts
  • Applying and Comparing Core Prompt Types
2

Using Prompts to Uncover Root Causes and Generate Solutions

  • Diagnosing a Business Problem and Simulating Solutions
  • Optimizing Prompt Syntax for Maximum Efficiency
3

Building a Reusable Prompt Framework for Business Functions

  • Building a Multi-Step Prompt Workflow
  • Building and Testing a Prompt Framework for a Business Function
  • Building a Simple Real Chatbot Using Prompts
4

Ethical and Secure Use of Prompts Across Platforms

  • Designing Ethical Prompts for Customer-Facing AI
  • Implementing Trustworthy and Compliant AI Practices
5

Applying Prompt Engineering for Innovation and Continuous Improvement

  • Charting the Evolution of AI and Prompt Engineering
  • Building an Enterprise Prompt System

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