explainx / courses
Claude for Work: Learn to Work Faster & Smarter▌
Course hub on explainx.ai for “Claude for Work.” When the Udemy listing goes live, we’ll link it here; until then, use the student resources page for prompts, downloads, and official docs. This mirrors the curriculum in our research & development package: Projects, Artifacts, Memory, Research Mode, prompting, business workflows, Claude Code, and MCP.
Overview
Video-first course (~110 minutes, 15 lectures) built from a full research & development package: Claude’s 2026 feature set for professionals and developers, structured prompting, and job-specific workflows. Udemy launch is planned; the student hub on explainx.ai already hosts prompts and resources.
Deep dives (free): Claude for Work: from research package to course · What is MCP? Model Context Protocol guide · What are agent skills? Complete guide.
- Section 1 — Why Claude, plans (Free → Enterprise), interface tour
- Section 2 — Projects, Artifacts, Memory + Research Mode + Extended Thinking
- Section 3 — Prompting playbook + email, report, meeting, data, slides & marketing demos
- Section 4 — Claude Code, MCP connectors, API / agentic workflows
- Section 5 — Honest competitor comparison + building your personal Claude system
Read next (free)
- Claude for Work: from research package to course — What’s in the curriculum, who it’s for, and how to use the student hub.
- What is MCP? Model Context Protocol guide — How MCP connects Claude to Slack, GitHub, Google, and more.
- What are agent skills? Complete guide — Skills vs MCP vs prompts — complementary ideas for agent builders.
FAQ
- Is this course on Udemy yet?
- The curriculum and student materials are published on explainx.ai first. We’ll attach the exact Udemy URL on this page as soon as enrollment opens. Until then, use /r/claude-for-work for prompts and resources.
- Who is this course for?
- Three personas from the syllabus: business professionals (writing, campaigns, Office workflows), developers (Claude Code, MCP, API), and team leaders evaluating plans, ROI, and rollout — without needing to be hands-on every day.
- What will I be able to do after the lectures?
- Remember and explain core Claude features; configure a Project with a knowledge base; use XML-tagged prompts and few-shot patterns; run research and data workflows; compare Claude to alternatives; and outline agentic setups with Claude Code or MCP — aligned with the published learning objectives in the course package.
- Where did the syllabus come from?
- From the “Claude for Work: Complete Course Research and Development Package” — market research, feature audit, lecture scripts, and demo scenarios — summarized on our blog. Student-facing prompts live on explainx.ai/r/claude-for-work and the dedicated library at explainx.ai/prompts/claude-for-work.