💬 Prompt Engineering

Master the art and science of communicating with AI models to get reliable, high-quality outputs

Level

Beginner

Duration

2 Weeks

Hands-On Labs

10

Format

Self-paced

What You'll Learn

Unlock the full potential of large language models through systematic prompt design. Learn how to craft prompts that produce consistent, accurate, and useful outputs across diverse AI applications.

Course Modules

📖 Week 1: Prompt Foundations
  • How LLMs process tokens and context
  • Zero-shot vs few-shot prompting
  • Role prompting and system instructions
  • Clarity, context, constraints framework
  • Common failure modes and fixes
  • Lab 1: Zero-shot classification with GPT-4
  • Lab 2: Few-shot sentiment analysis
  • Lab 3: Role prompting for customer service bot
  • Lab 4: Structured JSON output extraction
  • Lab 5: Prompt comparison and A/B testing
🧠 Week 2: Advanced Techniques & Production
  • Chain-of-thought and self-consistency
  • ReAct pattern (Reason + Act)
  • Tree of Thought for complex reasoning
  • Prompt injection and safety guardrails
  • Prompt management and versioning
  • Lab 6: Chain-of-thought math problem solving
  • Lab 7: ReAct agent with tool use
  • Lab 8: Detect and defend prompt injection
  • Lab 9: Automated prompt evaluation pipeline
  • Lab 10 (Capstone): Build a production prompt library

Prerequisites

Who Should Take This?

Tools & Tech Stack

Ready to Start?

Become the person who gets the best results from every AI tool — no matter the task.

📧 Enroll Now