Building with the Claude API
A long, end-to-end course on building with Claude: prompting and evals, tool use, RAG, MCP, and workflow vs agent patterns (chaining, routing, parallelization). Provider-specific, but the patterns transfer.
Go to the course on Anthropic Academy- Provider
- Anthropic Academy
- Price
- Free
- Certificate
- Free badgeFree completion badge for passing the course quizzes; Claude Academy calls it a badge, not a certificate.
- Level
- Intermediate
- Time
- 9 hours
- Format
- Self-paced lessons on Claude Academy with quizzes (67 lessons, 8 quizzes)
- Checked
- 2026-11-05
Free. Sign in with a free Claude account to save progress and earn the badge.
01
What you will learn.
- 01Claude API
- 02Prompt evaluation
- 03Tool use
- 04RAG
- 05MCP
- 06Workflows and agents
- 07Prompt caching
More inGenerative AI & LLMs coursesRAG coursesPrompt engineering courses
02
Before you enroll.
From the course page, checked 2026-11-05.
- Who it is for
- Software engineers who need to integrate Claude into production applications.
- You need
- Proficiency in Python
- Basic JSON handling
- An Anthropic API key
- What you build
- A prompt eval pipeline with generated test data and automated grading
- A RAG pipeline with embeddings, BM25 hybrid search, and reranking
- MCP servers and clients
- Good to know
- Exercises call the Claude API with your own key, which is billed by usage
03
Similar courses.
Generative AI Learning Plan for Developers (includes labs)
AWS's full path for developers: an introduction to generative AI, planning a project, Bedrock, prompt engineering, Amazon Nova models, SageMaker notebooks, and building apps with Knowledge Bases, Agents, and Guardrails. Most trainings are free, but the course with labs needs a subscription.
Free + paidCertificate not statedAdvanced
Building Generative AI Applications Using Amazon Bedrock
AWS's main free developer course on Bedrock: architecture patterns, LangChain with Bedrock models, RAG with Knowledge Bases, and agents with Bedrock Agents and Guardrails. Assumes intermediate-to-expert Python.
FreeCertificate not statedAdvanced
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
Ed Donner's 8-week, project-based course: 8 LLM apps, from a website summarizer through a RAG knowledge worker and a fine-tuned open-source model to an autonomous multi-agent system. Requires Python.
PaidPaid certificateAll levels