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Courses/Applied LLMs

Intermediate course

Applied LLMs for Builders

Build the foundation beneath reliable LLM products.

Prompting, retrieval, evaluation, agents, and the production decisions that turn a model call into a system.

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LevelIntermediate
FormatInstructor-led
Commitment8 weeks
StatusEnrollment open

The course

“Build the foundation beneath reliable LLM products.”

Engineers building their first serious LLM systems. Every module is organized around applied evidence rather than passive completion.

Curriculum / 05 modules

From first question
to working outcome.

01Prompting as engineering+

Treat prompts as code: versioning, testing, and failure modes at scale.

Lessons
  1. Prompts as interfaces
  2. Versioning and review
  3. Failure analysis
Field artifactVersioned prompt system and test cases
02Evaluation that holds up+

Golden sets, judges, regressions, and drift across model changes.

Lessons
  1. Building a golden set
  2. Rubric and judge design
  3. Reading regressions
Field artifactEvaluation suite and regression report
03Retrieval and grounding+

Chunking, embeddings, hybrid search, reranking, and evidence-based iteration.

Lessons
  1. Corpus and chunk design
  2. Retrieval strategies
  3. Measuring groundedness
Field artifactEvaluated retrieval pipeline
04Agents and tools+

When to use an agent loop, tool design, structured outputs, and recovery.

Lessons
  1. Workflow versus agent
  2. Tool contracts
  3. Recovery paths
Field artifactTool-using workflow with failure handling
05Production+

Latency, cost, observability, guardrails, and a capstone shipped to users.

Lessons
  1. Production architecture
  2. Cost and latency
  3. Capstone hardening
Field artifactDeployed, monitored LLM feature

What changes

You leave able to own the whole engagement.

  1. 01Build and evaluate retrieval-augmented systems end to end
  2. 02Design prompt and model evaluations
  3. 03Reason about cost, latency, and quality
  4. 04Ship a monitored LLM feature with guardrails

Who it is for

Strong builders moving closer to the problem.

Engineers building their first serious LLM systems.

Before you begin

  • Comfortable in Python or TypeScript
  • Have shipped at least one production service
  • Familiar with HTTP APIs and basic data work

Enrollment open

Start with the first lesson.

Enroll to save progress, resume across devices, and keep your course work connected to your learner profile.

Enroll and begin ↗