Library / Artificial Intelligence
Claude AI Masterclass: Get Real Work Done with Claude
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About this course
This course contains the use of artificial intelligence. I'm Christian, a licensed C-10 electrical contractor in San Diego and an electrical engineer with more than six years in semiconductor fabs. I run my businesses with Claude, the A-I assistant made by Anthropic, and this course shows you exactly how to do the same, with practical examples instead of hype. You will learn what Claude is and where it is strong or weak, how to get started on the web, desktop, and mobile apps, and the prompting techniques that work well: clear context, examples, XML-style structure, step-by-step reasoning, and iteration. You will set up Projects with project knowledge for ongoing work, analyze P-D-Fs, spreadsheets, and images, build documents, simple apps, and dashboards with Artifacts, write in your own voice, research with citations and verification, and understand connectors and agentic tools such as Claude Code and desktop automation, with safe permission habits. Three complete worked examples walk you through a contractor proposal, a spreadsheet analysis, and a small tool built as an artifact. You finish with a practical 30-day adoption plan. What you get: more than thirty minutes of lectures in short lessons, a downloadable Claude Prompt and Workflow Library PDF with more than fifty prompts and five workflow recipes, and a quiz after every section. Please note: A-I tools can make mistakes, so always verify important outputs. Features, plans, and names change often, so check the current app. This course does not quote prices, and it is not legal, financial, or engineering advice. Follow your local code, your authority having jurisdiction, and your company policy. This course is independent and is not affiliated with or endorsed by Anthropic. About the production: the narration in this course is generated with an AI text-to-speech voice, and the slides were produced with AI-assisted tools. The content was written and reviewed by the instructor.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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