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AI Automation Course

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AI Automation Course from LearnLLM: with or without code, 8 to 9.5 hours, with certificate

About Course

In this AI course you use Claude to build an automation for recurring work from your own practice, such as sorting emails, summarising requests or checking documents against fixed points. You work with the Claude API, the connection that other tools use to call Claude. No programming knowledge is needed: up to and including module 4 you build everything without code in Make, and Zapier is covered as an alternative.

Across seven modules you first learn when a task lends itself to automation and when you are better off staying in the chat. Then you create an API key, manage it securely and write a system prompt that makes the model work consistently. In module 4 you build the connection without code. In module 5 you see how the same call works in Python, with error handling and prompt caching. The Python assignment in that module is optional. Module 6 has Claude take actions with tool use and structured output. In module 7 you bring everything together in your own workflow, with a review step in which a person assesses the output, and a description that a colleague can take over.

The course takes 8 to 9.5 hours including practical assignments based on your own work, depending on whether you do the Python assignment. It is intended for professionals in operations, marketing, HR and consultancy who want AI to prepare recurring work. If you already work with Claude in the chat interface, this course follows on directly. Want to master the interface first? Then start with the Claude Course.

Each module contains course material, practical tips, a practical assignment based on your own work, transfer questions, scenario questions and a knowledge check with instant feedback. To earn the certificate of completion, you score at least 80 percent on each knowledge check, including the one for module 5. You finish with a final assignment in which you deliver one work portfolio for your own automation. On completion you receive a certificate with a verification code and a learning record for your CPD file, from LearnLLM.

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What Will You Learn?

  • Choosing which tasks from your own work to automate and which to keep in the chat
  • Creating an API key and managing it securely in the Claude Console
  • Writing a system prompt and choosing the right model for each task
  • Building an automation without code in Make, with Zapier as an alternative
  • Reading and writing the same call in Python, with error handling and prompt caching
  • Having Claude take actions with tool use, and enforcing structured output
  • Judging when a ready-made agent solution fits better than your own tool loop
  • Building in a review step in which a person assesses the output
  • Measuring and improving your workflow, and delivering it with documentation

Course Content

Module 1: What is the Claude API?

  • Why you start here
  • Starting scan: where you stand now
  • Learning objectives
  • Lesson 1.1: The difference between the API and the interface
  • Lesson 1.2: When do you choose the API, and when claude.ai?
  • Lesson 1.2b: Claude API versus OpenAI API
  • Lesson 1.3: The four model families
  • Lesson 1.4: How does an API call work?
  • Assignment 1.1
  • Module 1 transfer question
  • Module 1 scenario question
  • Module 1 summary
  • Module 1 knowledge check
  • Looking ahead

Module 2: Your first API call

Module 3: System prompts and model choice

Module 4: No-code integrations

Module 5: Automation with Python

Module 6: Tool use

Module 7: Your own workflow