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intermediateCertificateFree

Building with the Claude API

by Anthropic · Anthropic

9 modulesUpdated 2026-06

Our Verdict

Worth taking

"Building with the Claude API" is Anthropic's free, official developer course on Anthropic Academy for integrating Claude into real applications through the Anthropic API. Delivered as a video course with hands-on exercises and quizzes, it spans nine modules from API access and prompt evaluation through tool use, RAG/agentic search, Claude features, and the Model Context Protocol. Because it comes straight from the model provider, the API patterns and feature coverage are authoritative and current, which is its biggest advantage over third-party courses. It is aimed at backend, full-stack, and data engineers and assumes general programming comfort, so it is not a fit for non-coders. A high-value, free choice for developers who specifically want to build on Claude.

Free, first-party, and practical: it teaches Anthropic's own recommended patterns for building production Claude applications, which is hard to beat for anyone targeting the Claude API specifically.

Best for: Backend, full-stack, and data engineers who can already program and want a structured, authoritative path to building applications on Claude using the Anthropic API (prompting, evals, tools, RAG, agents, MCP).

Skip if: Non-technical learners, or developers who want a provider-neutral overview of LLM app development rather than a Claude/Anthropic-specific deep dive.

About This Course

Anthropic's free, comprehensive video course for developers integrating Claude into applications via the Anthropic API, covering prompt engineering, evaluations, tool use, RAG/agentic search, and the Model Context Protocol.

What You'll Learn

How to authenticate and call Claude through the Anthropic API, including model parameters and streaming
How to write and run prompt evaluations to measure and improve prompt quality
Core and advanced prompt engineering techniques applied to real prompts
How to implement tool use so Claude can call functions and external systems
How to build RAG and agentic search workflows with Claude
How Claude features and the Model Context Protocol (MCP) fit into application architecture
How to structure Anthropic-powered apps, agents, and workflows

Curriculum

Introduction

Course overview and what you will build.

Accessing Claude with the API

API keys, model parameters, and streaming responses.

Prompt Evaluation

Writing evals to measure prompt quality.

Prompt Engineering Techniques

Applying prompting techniques to real prompts.

Tool Use with Claude

Letting Claude call functions and external tools.

RAG and Agentic Search

Retrieval-augmented generation and agentic search patterns.

Features of Claude

Claude-specific capabilities relevant to app building.

Model Context Protocol

How MCP connects Claude to tools, resources, and data.

Anthropic Apps and Agents/Workflows

Putting it together into apps, agents, and workflows; final assessment.

Prerequisites

  • Comfort with programming (Python recommended)
  • Familiarity with REST APIs and JSON
  • An Anthropic API key to run the hands-on exercises (usage is billed separately by Anthropic)

Instructor

Anthropic

Instructor · Anthropic

Pros & Cons

Pros

  • Free, first-party course from the model provider, so API and feature guidance is authoritative and current
  • Broad, practical scope: prompting, evaluations, tool use, RAG, agents, and MCP in one path
  • Hands-on exercises and quizzes with a final assessment rather than passive video only
  • Directly aligned with how Anthropic recommends building production Claude applications

Cons

  • Anthropic/Claude-specific; concepts transfer but the exact code and tooling are tied to one provider
  • Requires programming experience and an Anthropic API key (API usage is billed separately)
  • No publicly available star rating or review count to corroborate quality
  • Duration is described by modules rather than a clear total hour count

Alternatives To Consider

How we reviewed this course

This is an independent editorial assessment by Cursarium, based on Anthropic's published course materials and aggregated public learner feedback (last reviewed 2026-06). We have not independently completed the course. Links to providers are standard references, not paid placements.