Python Programming Foundations
4-6 weeksSkills You'll Build
Python syntax and data structuresWorking with APIs and JSONError handling and debuggingScripting for automationVirtual environments and package management
Support Engineer → AI Engineer
Support Engineer to AI Engineer: From Troubleshooting to Building AI Systems
Transform your customer-facing technical skills into AI engineering expertise. Your troubleshooting mindset, customer empathy, and systems understanding are exactly what AI teams need. This path takes you from solving user problems to building AI solutions that prevent them.
6-10 months
Prerequisites
- Experience in technical support or customer success engineering
- Basic scripting or automation experience (Python, Bash, or similar)
- Understanding of APIs and system integrations
- Strong debugging and troubleshooting skills
- Customer communication and documentation abilities
Your Learning Path
ML Fundamentals and LLM Basics
4-5 weeksSkills You'll Build
Machine learning core conceptsHow LLMs work (high-level understanding)Prompt engineering fundamentalsUnderstanding AI limitations and edge casesTranslating user problems into AI solutions
LLM API Integration
3-4 weeksSkills You'll Build
OpenAI and Claude API usageBuilding conversational AI interfacesHandling API errors and rate limitsCost management for AI applicationsStreaming responses and user experience
AI-Powered Support Solutions
4-5 weeksSkills You'll Build
Building AI chatbots and support agentsKnowledge base integration with AIAutomated ticket classification and routingCustomer sentiment analysisEscalation logic and human handoff
RAG Systems for Support
4-5 weeksSkills You'll Build
Vector databases and embeddingsDocument retrieval for knowledge basesBuilding FAQ and documentation assistantsHybrid search for support contentMeasuring retrieval quality
Portfolio and Career Transition
3-4 weeksSkills You'll Build
Building support automation portfolio projectsShowcasing customer-centric AI solutionsAI engineer interview preparationPositioning support experience for AI rolesNetworking in AI engineering communities