As a Django developer, you hold one of the strongest starting positions for transitioning into AI engineering. Your Python expertise is the foundation of the entire AI ecosystem, from PyTorch and TensorFlow to LangChain and the countless libraries powering modern AI systems. This path leverages your existing skills in ORM patterns, REST APIs, async views, and production web architecture to accelerate your AI journey significantly. You will learn to integrate AI capabilities directly into Django applications, build intelligent features using LLM APIs, and implement RAG systems using patterns familiar from your database experience. Your understanding of Django's middleware, signals, and request lifecycle translates naturally to building AI agents with tools and callbacks. The transition also covers FastAPI for high-performance AI-specific APIs, recognizing that while Django excels at full-stack applications, FastAPI's async-first design suits real-time AI inference workloads. By the end of this path, you will build production AI applications that combine Django's robust web framework with cutting-edge AI capabilities, chatbots with conversation history stored in your ORM, document processing pipelines integrated with Django admin, and AI-enhanced APIs serving your existing applications. Timeline: 3-5 months.
Skills You'll Build
Skills You'll Build
Skills You'll Build
Skills You'll Build
Skills You'll Build
Skills You'll Build