🤖 AI Prompt Engineering – Full Course Outline

1️⃣ Foundations of Artificial Intelligence & Generative AI

Topics Covered:

• What is Artificial Intelligence?
• Machine Learning vs Deep Learning
• Generative AI Explained
• Large Language Models (LLMs)
• How AI Models Process Prompts
• Tokens, Context Windows & Temperature
• Strengths and Limitations of AI

Learning Outcomes:

• Understand how generative AI systems work
• Explain how prompts influence AI output
• Identify AI capabilities and constraints

2️⃣ Introduction to Prompt Engineering

Topics Covered:

• What is Prompt Engineering?
• Role of Prompt Engineers
• Basic Prompt Structures
• Clear vs Vague Prompts
• Instruction-Based Prompting
• Zero-shot vs Few-shot Prompting

Learning Outcomes:

• Write structured and effective prompts
• Distinguish between basic prompting techniques
• Improve output quality through clarity

3️⃣ Core Prompting Techniques

Topics Covered:

• Role Prompting (“Act as…”)
• Chain-of-Thought Prompting
• Step-by-Step Reasoning
• Few-shot Prompting
• Output Formatting Control
• Constraint-based Prompting
• Context Injection
• Persona & Tone Control

Learning Outcomes:

• Use advanced prompting frameworks
• Guide AI reasoning processes
• Control output structure and format

4️⃣ Advanced Prompt Engineering

Topics Covered:

• Prompt Chaining
• Multi-step AI Workflows
• Prompt Debugging & Optimization
• Reducing Hallucinations
• Controlling Bias & Ethical Output
• Iterative Prompt Refinement
• Using System vs User Instructions
• Token Efficiency & Context Management

Learning Outcomes:

• Build AI-powered workflows
• Optimize prompts for reliability
• Troubleshoot poor AI responses

5️⃣ Prompt Engineering for Different AI Models

Topics Covered:

• Text Generation Models
• Image Generation Prompts
• Code Generation Prompts
• Data Analysis Prompts
• Chatbot & Conversational Prompts
• Multimodal Prompting

Learning Outcomes:

• Adapt prompts to different AI systems
• Create prompts for text, image, and code generation
• Understand multimodal AI interaction

6️⃣ Business & Industry Applications

Topics Covered:

• AI for Marketing & Content Creation
• AI for Cybersecurity & Risk Analysis
• AI for Customer Support Automation
• AI for Research & Data Analysis
• AI in Education & Training
• AI for SMEs & Entrepreneurs

Learning Outcomes:

• Design AI use cases for business
• Implement prompt strategies for automation
• Identify high-impact AI opportunities

7️⃣ Ethics, Security & Responsible Prompting

Topics Covered:

• AI Bias & Fairness
• Data Privacy & Confidentiality
• Prompt Injection Attacks
• Jailbreaking & Security Risks
• Responsible AI Use
• Governance & Compliance

Learning Outcomes:

• Apply ethical AI principles
• Prevent misuse of AI systems
• Secure AI-driven workflows

8️⃣ Building AI Workflows & Automation Systems

Topics Covered:

• AI Workflow Design
• Automation with No-Code Tools
• Integrating AI into Business Systems
• AI + APIs Overview
• Measuring AI Performance
• Scaling AI Solutions

Learning Outcomes:

• Build automated AI workflows
• Integrate AI into real-world systems
• Evaluate AI performance metrics