Python for AI Automation
2-3 weeksSkills You'll Build
Advanced Python patterns for AIAsync programming for automationWorking with AI APIsError handling and retry logicLogging and observability
Automation Engineer → AI Automation Engineer
Automation Engineer to AI Automation Engineer: From Scripts to Intelligent Workflows
Your automation expertise is the perfect foundation for AI-powered automation. This path transforms your scripting, workflow, and process automation skills into building intelligent systems that go beyond rule-based logic. Create AI agents and workflows that handle complex, dynamic tasks.
4-6 months
Prerequisites
- Experience in automation or workflow engineering
- Proficiency in Python or similar scripting languages
- Understanding of APIs and integrations
- Experience with automation tools (Ansible, Terraform, or similar)
- Familiarity with CI/CD and workflow orchestration
Your Learning Path
LLM Fundamentals for Automation
3-4 weeksSkills You'll Build
How LLMs work and their capabilitiesPrompt engineering for automationUnderstanding LLM limitationsStructured outputs for workflowsCost management for automated systems
AI Agent Development
4-5 weeksSkills You'll Build
Building AI agentsTool use and function callingMulti-step reasoning workflowsAgent orchestration patternsError handling for agents
AI Workflow Automation
3-4 weeksSkills You'll Build
n8n and AI workflow toolsBuilding AI-powered pipelinesDocument processing automationCombining AI with traditional automationScheduling and triggering AI workflows
RAG for Automated Knowledge
3-4 weeksSkills You'll Build
Vector databases and embeddingsKnowledge-powered automationDocument retrieval for workflowsBuilding automated Q&A systemsScaling knowledge automation
Portfolio and Career Transition
2-3 weeksSkills You'll Build
Building AI automation portfolioShowcasing workflow expertiseAI automation engineer interviewsNetworking in AI automation communityPositioning automation experience