Python for AI Engineering
2-3 weeksSkills You'll Build
Python fundamentals and best practicesPython libraries for AI (NumPy, Pandas)Virtual environments and dependency managementType hints and modern Python patterns
Software Engineer → AI Engineer
Software Engineer to AI Engineer: The 3-6 Month Transition Roadmap
A practical roadmap for software engineers ready to transition into AI engineering. Leverage your existing coding skills to fast-track your AI career with a focus on implementation over theory.
3-6 months
Prerequisites
- Proficient in at least one programming language
- Understanding of APIs and web services
- Basic knowledge of databases and data structures
- Experience with version control (Git)
Your Learning Path
LLM Fundamentals and APIs
3-4 weeksSkills You'll Build
Understanding LLM architecture conceptsOpenAI API integrationClaude API implementationPrompt engineering basicsToken management and cost optimization
RAG Systems and Vector Databases
4-5 weeksSkills You'll Build
Embeddings and vector representationsVector database selection and setupChunking strategies for documentsRetrieval optimization techniquesBuilding end-to-end RAG pipelines
Production AI Systems
3-4 weeksSkills You'll Build
AI system design patternsError handling and fallback strategiesMonitoring and observability for AICost management in productionSecurity considerations for AI applications
Portfolio and Job Preparation
3-4 weeksSkills You'll Build
Building impressive AI portfolio projectsDocumenting your work effectivelyAI engineer interview preparationSalary negotiation for AI rolesPositioning your software engineering experience