What This Course Is

Claude is Anthropic's AI assistant — but it's far more than a chatbot. It's a complete developer and content platform: the claude.ai web interface with Projects and Artifacts, the Anthropic REST API with streaming and tool use, Claude Code (Anthropic's official CLI for terminal-based development), Model Context Protocol (MCP) support for tool integration, prompt caching for cost optimization, the Batches API for bulk processing, and enterprise features like audit logs and SSO.

This course takes you from "I just signed up for claude.ai" all the way to "I architect production platforms powered by Claude." Every lesson explains why the topic matters, walks through how it works, gives a real-world example, surfaces common mistakes, and ends with an exercise plus an optional professional challenge.

The curriculum tracks Claude's current state as of August 2026: the Claude 4 model family (Opus 4, Sonnet 4, Haiku — plus the rumored Fable tier), Projects (knowledge containers), Artifacts (interactive shareable content), Claude Code (Anthropic's CLI), MCP servers, prompt caching, and the Batches API. Where product behavior is version-sensitive, lessons carry a Last verified: YYYY-MM-DD stamp.

Who Should Take This Course

What You Will Learn

Prerequisites

Beginner → Professional Roadmap

The course is structured as three phases of 52 lessons each, organized into conceptual arcs that end with checkpoints and projects.

Phase 1 — Beginner (52 lessons)

• Arc 1 — Orientation (BE-01 → BE-06): what Claude is, the surfaces, plans, account setup, the claude.ai interface, settings.
• Arc 2 — First Contact (BE-07 → BE-14): first prompts, conversation, slash commands, Projects, web search, status, healthy accept/refine loop, checkpoint.
• Arc 3 — Prompt Foundations (BE-15 → BE-22): what a prompt is, specificity, role, output shaping, few-shot, context window, multi-turn, checkpoint.
• Arc 4 — Everyday Productivity (BE-23 → BE-30): explanations, docs, examples, refactoring, titles, outlines, error translation, dense syntax.
• Arc 5 — Safety & Responsibility (BE-31 → BE-36): hallucinations, secrets, license, privacy, responsible use, redaction checkpoint.
• Arc 6 — Multi-Language Exposure (BE-37 → BE-42): JS/TS, Python, JVM, C#/.NET, Go/Rust, SQL/Shell.
• Arc 7 — Beginner Projects (BE-43 → BE-47): hello world in a new domain, document creation, content conversion, research pack, repo documentation.
• Arc 8 — Checkpoint & Next Steps (BE-48 → BE-52): self-assessment, common mistakes, roadmap, workflow design, bridge to Phase 2.

Phase 2 — Intermediate (52 lessons)

• Arc 1 — Steering (IN-01 → IN-08): context engineering, few-shot patterns, role+constraints, output schemas, system-style prompts, templates, negative prompts, checkpoint.
• Arc 2 — Projects & Artifacts (IN-09 → IN-16): Projects deep dive, Artifacts, multi-file workflows, knowledge/memory, hallucination reduction, scoping, checkpoint.
• Arc 3 — Claude API Foundations (IN-17 → IN-22): API overview, auth, messages format, streaming, tool use, prompt caching.
• Arc 4 — Cost & Multi-Model (IN-23 → IN-28): Claude vs other models, Claude's strengths, cost/quality, switching contexts, version migration, multi-model checkpoint.
• Arc 5 — Quality Control (IN-29 → IN-34): verification patterns, self-checking, hallucination reduction, review checklist, TDD-with-Claude, eval set.
• Arc 6 — Claude Code Foundations (IN-35 → IN-40): Claude Code CLI, multi-file edits, project knowledge, hooks, CI/CD, debugging.
• Arc 7 — Integrations (IN-41 → IN-46): Zapier, Make, n8n, vector DBs, knowledge bases (RAG), no-code platforms.
• Arc 8 — Intermediate Projects (IN-47 → IN-52): prompt template library, doc generator, analysis pipeline, content workflow, research assistant, capstone.

Phase 3 — Professional (52 lessons)

• Arc 1 — Architecture (PR-01 → PR-06): platform fit, data flow, budgets, model churn, multi-model orchestration, capstone.
• Arc 2 — REST API Deep Dive (PR-07 → PR-16): API reference, auth, messages, streaming, tool use, vision, prompt caching, batches, rate limits, capstone.
• Arc 3 — Claude Code Production (PR-17 → PR-22): architecture, custom workflows, MCP integration, testing, team adoption, capstone.
• Arc 4 — MCP & Integrations (PR-23 → PR-28): building MCP servers, hosting/scaling, CI/CD, IDE integrations, vector DBs, RAG.
• Arc 5 — Evaluation & Observability (PR-29 → PR-36): fundamentals, golden set, rubrics, regression, observability, cost, postmortems, capstone.
• Arc 6 — Security & Governance (PR-37 → PR-42): IP, content filtering, training data, DLP, org policy, rollout capstone.
• Arc 7 — Cost & Reliability (PR-43 → PR-46): credits, reliability, fallback, SLOs.
• Arc 8 — Capstones (PR-47 → PR-52): adoption dashboard, eval harness, support bot, multi-model router, internal platform, production service.

Project Roadmap (23 Projects)

Skills You Will Gain

Post Schedule

This course is published as 2 posts per day starting October 1, 2026:

Total: 157 posts (1 landing + 156 lessons) published over ~79 days.

Where to Start

Begin with BE-01 — What Is Claude? A Plain-Language Introduction and proceed sequentially through Phase 1, or jump to the arc that matches your current skill.

Frequently Asked Questions

Official Resources

• claude.com — Claude product page
• anthropic.com — Anthropic company site
• platform.claude.com/docs — official API documentation
• support.claude.com — help center
• code.claude.com — Claude Code documentation
• anthropic.com/news — official announcements