AI Prompt Engineer Course & Curriculum

NCPL's hands-on AI Prompt Engineer training — full curriculum, real projects, certification prep, and job placement support. We train, mentor and place you.

Module 1: Foundations

12 hours: Generative AI concepts, LLMs, NLP, and prompt fundamentals

  • Generative AI overview
  • LLM architecture basics
  • NLP fundamentals
  • Zero-shot prompting
  • Few-shot learning
  • Prompt components
  • Best practices

Module 2: Core Techniques

15 hours: Advanced prompting, templates, and instruction design

  • Chain-of-thought prompting
  • Self-consistency
  • Prompt templates
  • Instruction optimization
  • Context management
  • Output formatting
  • Error handling

Module 3: Tools & Integration

13 hours: LangChain, APIs, RAG, and function calling

  • LangChain framework
  • API integration
  • RAG implementation
  • Function calling
  • Memory systems
  • Agent workflows
  • Tool orchestration

Module 4: Production & Optimization

10 hours: Evaluation, testing, CI/CD, and deployment

  • Prompt evaluation metrics
  • A/B testing
  • Version control
  • CI/CD pipelines
  • Monitoring
  • Cost optimization
  • Security best practices