Prompt Engineering Masterclass
Master the art and science of prompt engineering based on Google's official white paper and industry best practices. Learn techniques from Zero-Shot to Chain-of-Thought, understand model parameters, and create effective prompts for any AI application. Essential skills for anyone working with LLMs.
Ages 16+
By Muhammad Talha Javed
PKR 30,000
What You'll Learn
- Master 12+ prompting techniques including Chain-of-Thought and ReAct
- Optimize LLM model parameters like temperature, Top-P, and Top-K
- Build a reusable prompt template library for professional use
- Apply structured output techniques for JSON, XML, and API integration
Course Highlights
- Based on Google's official white paper
- Master 12+ prompting techniques
- Chain-of-Thought & ReAct methods
- Optimize model parameters
- Build reusable prompt templates
- Real-world applications
Curriculum
8 modules · 24 sessions over 8 weeks
Week 1
- Introduction to Prompt Engineering
- How LLMs Process Prompts
- Prompt Structure Fundamentals
Week 2
- Model Parameters
- Temperature, Top-P & Top-K
- Output Control Techniques
Week 3
- Zero-Shot Prompting
- One-Shot Prompting
- Few-Shot Prompting
Week 4
- System & Role Prompting
- Contextual Prompting
- Persona Development
Week 5
- Chain-of-Thought (CoT)
- Step-by-Step Reasoning
- Self-Consistency Methods
Week 6
- Tree of Thoughts (ToT)
- ReAct Prompting
- Tool Integration
Week 7
- Advanced Techniques
- Structured Outputs (JSON/XML)
- Prompt Templates & Variables
Week 8
- Capstone Project
- Prompt Library Creation
- Best Practices & Certification