Claude & the Anthropic ecosystem
A deep, hands-on mastery path for Claude: models and Projects, connectors, Skills, MCP, Claude Code, GitHub workflows, the Anthropic API and Agent SDK, automation, and a capstone.
Everyone at your company is already using Claude. The question is whether they are using it like a toy or like a force multiplier. This block settles that question. You start with the Claude model family, learning exactly when opus, sonnet, and haiku earn their keep, then move into projects, custom instructions, styles, and artifacts so Claude stops forgetting who you are between conversations.
From there it gets serious. You wire Claude into your actual stack with connectors and the marketplace, then lock it down with permissions and governance that will pass a security review. You master Claude Skills, the prebuilt ones for documents, slides, spreadsheets, and pdfs, and you package your own. You learn MCP, the universal standard that lets Claude plug into any tool, and you build your own MCP server rather than waiting for someone else to.
Then we hand you Claude Code, an agentic coder that lives in your terminal and executes real work through plan, edit, run, and review loops. You fan tasks across parallel subagents, schedule autonomous runs, and connect the whole thing to GitHub so Claude reviews pull requests and ships from issue to merge. Finally you go under the hood with the Claude API and Agent SDK, using the messages API, tool use, structured outputs, and managed agents to build systems, not demos.
The capstone ties it together into one end to end workflow you actually own. This is not a tour of features. It is how a senior leader turns Claude from a curiosity into infrastructure, and understands enough to challenge the people building it. Skip this and you will be approving budgets for capabilities you cannot describe.
What you'll master
- Select the right Claude model for any task based on cost, speed, and reasoning depth
- Connect Claude to your business tools with governance and permissions that survive scrutiny
- Build and package custom Claude Skills and MCP servers for your own workflows
- Run agentic coding through Claude Code, including parallel subagents and scheduled autonomous runs
- Automate GitHub workflows from issue to reviewed and merged pull request
- Ship real applications on the Claude API and Agent SDK using tool use and structured outputs
- Deliver an end to end Claude workflow that automates recurring work in your organization
Modules
Covers the Claude model family, when to use each tier, and how projects, custom instructions, styles, and artifacts shape your work.
Shows how to link Claude to your apps, build real workflows, and manage the permissions and governance that keep those integrations safe.
Shows how to use prebuilt skills for documents, slides, spreadsheets, and PDFs, then build and package your own.
Shows how to connect existing servers and build your own to link AI tools to external data and systems.
Shows how to run an agentic coding assistant in your terminal, orchestrate parallel subagents, and automate iterative work through loops and scheduled runs.
Walks through connecting Claude to repositories, issues, and pull requests to move work from open issue to merged code.
Walks through making API calls, wiring up tool use and structured outputs, and building agents that run and schedule themselves.
Shows how to connect plugins, automate recurring tasks, and build a complete Claude workflow from start to finish.
Frequently asked questions
What does the Claude & the Anthropic ecosystem block actually cover?
It covers the full Anthropic stack in 8 modules and 26 lessons: the Claude model family (opus, sonnet, haiku), projects and custom instructions, connectors, Claude Skills, MCP, Claude Code, GitHub workflows, the Claude API and Agent SDK, plugins and automation. It ends with a capstone where you build one end-to-end Claude workflow. The emphasis is on building working systems rather than touring features.
Do I need to know how to code to follow this?
Part of it, no: the modules on the model family, projects, connectors and Skills work without writing code. But Claude Code, MCP server building, the GitHub workflows and the Claude API modules assume you can read code and use a terminal. A non-technical leader can still follow those sections to understand what their teams are building and ask sharper questions.
What is the difference between opus, sonnet, and haiku?
They are three tiers of the Claude model family that trade reasoning depth against cost and speed: opus for the hardest reasoning, haiku for fast cheap high-volume tasks, sonnet in between. The first lesson of the Claude Fundamentals module covers when each tier earns its cost, which is the decision that drives most of your AI bill in production.
What is MCP and why does it get its own module?
MCP is the open standard that lets an AI tool connect to external data and systems, described in the lessons as the USB-C for AI tools. It gets a dedicated three-lesson module because using existing MCP servers and writing your own is what turns Claude from a chat window into something wired to your systems, without waiting for a vendor to ship an integration.
How is the Claude Code module different from the API module?
Claude Code is an agentic coding assistant that runs in your terminal and executes work through plan, edit, run and review loops, with parallel subagents, hooks and scheduled autonomous runs. The API module is about building your own applications: the messages API, tool use, structured outputs, and the Agent SDK with managed agents and scheduling. One is a tool you drive, the other is infrastructure you ship on.
Does the block address security and governance, or only capabilities?
Governance has its own lesson inside the Connectors module, focused on permissions, connector safety, and integrations that hold up in a security review. Data Governance is also one of the key terms of the block. The logic is that connecting Claude to your real stack is where the risk sits, so the permission model is treated as part of the build rather than an afterthought.