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LLM Application Bootcamp: Zero to Ship

Go from your first API call to a shipped chat product with guardrails and eval pipelines. This bootcamp is built for developers who need to integrate LLMs into real products—not toy scripts. You'll learn token economics, production prompt patterns, structured outputs, conversation memory, and safety controls that paying customers expect. **What you'll build:** - Token cost estimators for budget planning - Reusable prompt templates with versioning - Function-calling routers for tool use - Conversation memory with smart trimming - Input/output guardrails and eval harnesses No ML PhD required. TypeScript/JavaScript labs run in-browser. Ship your first LLM feature in weeks, not months.

24 hours 0 students 5 modules · 25 lessons 5 hands-on exercises

Instructor: Marcus Okonkwo

Course Curriculum

Module 1: LLM APIs & Token Economics

By the end of this module you'll estimate API costs accurately and design token-efficient request patterns.

  • The OpenAI-Compatible API Pattern
  • Token Economics & Cost Planning
  • Rate Limits, Retries & API Resilience
  • Model Routing & Provider Abstraction
  • Lab: Token EstimatorLab
  • Module 1: APIs & Token EconomicsQuiz

Module 2: Prompt Engineering for Production

By the end of this module you'll build versioned prompt templates that teams can test, ship, and roll back.

  • Production Prompt Patterns
  • Versioning, Testing & Prompt Registries
  • Advanced Prompting Techniques
  • Prompt Security & Injection Defense
  • Lab: Prompt Template BuilderLab
  • Module 2: Prompt EngineeringQuiz

Module 3: Structured Outputs & Function Calling

By the end of this module you'll route user intent to typed tool calls with validated structured responses.

  • JSON Mode, Schemas & Validation
  • Function Calling & Tool Use
  • Robust Extraction Pipelines
  • Multi-Tool Orchestration Patterns
  • Lab: Function Call RouterLab
  • Module 3: Structured OutputsQuiz

Module 4: Building a Chat Product

By the end of this module you'll implement conversation memory with smart trimming for production chat UIs.

  • Chat Architecture & State Management
  • Memory Strategies: Window, Summary, Token Budget
  • Streaming UX & Frontend Integration
  • Session Persistence, Privacy & Compliance
  • Lab: Conversation Memory TrimmerLab
  • Module 4: Chat ProductQuiz

Module 5: Safety, Guardrails & Eval Pipelines

By the end of this module you'll design guardrail layers and CI eval gates for production LLM features.

  • Guardrails: Input, Output, and Tool Safety
  • Eval Pipelines & Continuous Improvement
  • Red Teaming & Adversarial Testing
  • Compliance, Audit Logs & Human Review
  • Lab: Input Guardrail FilterLab
  • Module 5: Safety & EvalQuiz

$79.99

Lifetime access · Certificate included

  • Hands-on coding exercises
  • Module knowledge check quizzes
  • Downloadable resources
  • Progress tracking dashboard