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Science
Prompt Engineering – Practical Workshop – Foundation to Advanced
Prompt Engineering – Practical Workshop – Foundation to Advanced
Curriculum
11 Sections
62 Lessons
10 Weeks
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Introduction to Prompt Engineering
3
1.1
What is Prompt Engineering
1.2
How modern LLMs work
1.3
Tokens, context windows, reasoning, memory
Understanding Top AI Models
3
2.1
OpenAI vs Claude vs Gemini vs DeepSeek vs Grok
2.2
Strengths and weaknesses of each model
2.3
Choosing the right LLM for the task
Core Prompt Engineering Technique
7
3.1
Step by step
3.2
Role
3.3
Context
3.4
Chain-of-thought
3.5
Few-shot and zero-shot
3.6
Structured output prompting
3.7
The Best Ways
Advanced Prompt Engineering
7
4.1
Multi-agent prompting
4.2
System prompts vs user prompts
4.3
Long-context prompting
4.4
AI reasoning enhancement methods
4.5
Prompt chaining workflows
4.6
Reflection and self-correction prompting
4.7
AI hallucination reduction methods
AI Content Creation
6
5.1
Writing prompts for blogs and SEO + Free Prompt Templates
5.2
Social media content prompts + Free Prompt Templates
5.3
Ad copy and sales prompts + Free Prompt Templates
5.4
Email marketing prompts + Free Prompt Templates
5.5
Scriptwriting and storytelling prompts + Free Prompt Templates
5.6
AI image generation prompting basics + Free Prompt Templates
Business & Marketing Automation
6
6.1
AI for marketing workflows
6.2
AI sales assistant prompting
6.3
Lead generation prompts
6.4
Customer support AI workflows
6.5
AI research automation
6.6
AI productivity systems
Prompt Engineering for Research & Analysis
6
7.1
Deep research prompting
7.2
Competitive analysis prompts
7.3
Market research workflows
7.4
Data extraction prompting
7.5
AI summarization systems
7.6
Decision-support prompting
(Optional) Coding & Technical Prompting
6
8.1
Coding with AI assistants
8.2
Debugging prompts
8.3
Website and app generation prompts
8.4
Data analysis prompting
8.5
API and automation prompting
8.6
Technical documentation generation
(Optional) AI Agents & Workflow Systems
5
9.1
AI tools ecosystem
9.2
Building AI agents
9.3
Multi-step AI workflows
9.4
Connecting AI with business systems
9.5
Autonomous AI task execution
Future of Prompt Engineering
5
10.1
Reasoning models and autonomous systems
10.2
AI personalization systems
10.3
Ethical AI prompting
10.4
AI governance and security basics
10.5
Career opportunities in AI prompting
Practical Workshop Activities
8
11.1
Writing high-performance prompts
11.2
Comparing outputs across 5 major LLMs
11.3
AI content generation exercises
11.4
AI marketing workflow creation
11.5
Prompt debugging sessions
11.6
AI automation building
11.7
Real-world business case simulations
11.8
AI research and analysis exercises
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