Prompt engineering course
The Lightbridge Labs prompt engineering course is a two-day intensive bootcamp that teaches technical teams to design, test, and manage prompts for production AI systems. The curriculum covers prompt design patterns, retrieval-augmented generation, evaluation methods, and production prompt management, reinforced through hands-on exercises with real models. Patterns that work in production, not just in demos.
Bootcamp curriculum
Foundations
How language models process prompts. Token economics, context windows, and model behavior patterns. Zero-shot, few-shot, and chain-of-thought techniques with hands-on exercises.
Advanced Patterns
System prompts, role assignment, output formatting, structured extraction, multi-step reasoning chains, and self-consistency techniques. Building reliable prompt pipelines.
RAG and Integration
Retrieval-augmented generation architecture. Embedding strategies, chunking methods, retrieval optimization, and prompt design for RAG systems. Hands-on RAG pipeline construction.
Production and Evaluation
Prompt versioning, A/B testing, evaluation frameworks, cost optimization, monitoring, and prompt management in production systems. Capstone project.
Taught by production practitioners.
Lightbridge Labs instructors build and manage production AI systems daily.
Common questions
- What is prompt engineering and why does it matter?
- Prompt engineering is the practice of designing inputs to AI language models that produce reliable, high-quality outputs. It matters because the difference between a mediocre AI implementation and a production-grade one often comes down to prompt design. Organizations that build prompt engineering competency extract significantly more value from their AI investments.
- Who should attend the Lightbridge Labs Prompt Engineering Bootcamp?
- This bootcamp is designed for technical teams including software engineers, data analysts, product managers, and AI practitioners who work directly with language models. Participants should be comfortable with basic programming concepts. No ML expertise is required.
- What will participants learn in this two-day bootcamp?
- Participants learn prompt design patterns, chain-of-thought reasoning, few-shot and zero-shot techniques, retrieval-augmented generation (RAG) patterns, output parsing and validation, evaluation methodologies, production prompt management, and cost optimization strategies. All concepts are reinforced through hands-on exercises.
- Which AI models does the bootcamp cover?
- The bootcamp covers prompt engineering principles that apply across all major language models including GPT-4, Claude, Gemini, and open-source models. Participants learn how model architecture differences affect prompt design and how to adapt techniques across providers.
- Is there hands-on practice during the bootcamp?
- Yes. Approximately 60% of the bootcamp is hands-on. Participants work through structured exercises, build prompt pipelines, design evaluation frameworks, and complete a capstone project that applies prompt engineering to a real business use case. Each participant receives a cloud environment for the exercises.
- What do participants receive after completing the bootcamp?
- Participants receive a Lightbridge Labs Prompt Engineering certificate, a comprehensive reference guide, prompt template library, evaluation framework templates, and 30-day access to the exercise environment for continued practice.
Build prompt engineering competency.
Contact us to schedule the Prompt Engineering Bootcamp for your team. On-site, virtual, or hybrid delivery.