AI automation specialist
An 8-step roadmap for applying AI at work: how language models work and their limits, effective prompting, ChatGPT, Gemini and Claude for office tasks, workflow automation with n8n, Make and Zapier, chatbots that answer from internal documents, data security and verifying outputs. Afterwards you can work as an in-house automation specialist or take freelance projects. Suits office workers who want to upskill.
Start here
Step 1: How generative AI works & its limits
One short lesson per step, 10–15 minutes on a phone. No sign-up needed.
Hands-on roadmap
Roadmap
- Step 1Lesson
How generative AI works & its limits
Large language models, tokens, context, why AI makes things up (hallucination); comparing ChatGPT, Gemini, Claude and Copilot; never pasting customer data or passwords into public tools.
No English content for this step yet.
- Step 2Skill
Effective prompting & verifying output
Prompt structure: role, context, task, format, examples; breaking down complex jobs; a shared team prompt library; checking sources and figures before using results.
Requires: How generative AI works & its limits
- Step 3Skill
AI for office work: documents, spreadsheets, meetings
Drafting emails and reports, summarizing long documents; analyzing spreadsheets with AI; meeting notes and summaries; creating slides and illustrations; copyright and attribution.
Requires: Effective prompting & verifying output
No English content for this step yet.
- Step 4Skill
Workflow automation with n8n, Make, Zapier
Triggers, actions, webhooks; connecting Google Sheets, Gmail, Zalo OA, Facebook and CRMs with AI steps; error handling and retries; estimating monthly API costs by usage.
Requires: AI for office work: documents, spreadsheets, meetings
No English content for this step yet.
- Step 5Skill
Chatbots that answer from internal documents (RAG)
Preparing and chunking documents, semantic search; building chatbots with Custom GPTs, Gemini Gems or no-code platforms; testing for wrong answers and limiting scope.
Requires: Workflow automation with n8n, Make, Zapier
No English content for this step yet.
- Step 6Skill
Security, privacy & internal AI policy
Classifying which data may go into AI, enterprise plans that do not train on your data, complying with personal data protection rules; writing a company AI usage policy.
Requires: Chatbots that answer from internal documents (RAG)
No English content for this step yet.
- Step 7Project
Project: automate a real business process
Pick a time-consuming process (answering customer messages, weekly reports, CV screening), measure time before and after, build an n8n or Make flow with AI, and write a handover guide.
Requires: Security, privacy & internal AI policy
No English content for this step yet.
- Step 8Assessment
Skills review & landing automation projects
A test on prompting and security scenarios; present your project with hours saved; build a portfolio, quote per project and apply for automation specialist roles.
Requires: Project: automate a real business process
No English content for this step yet.
