A comprehensive roadmap for Ihor to transition from Lead iOS Engineer to Lead Applied AI Engineer in Munich, Germany.
Two distinct paths optimized for different career goals and company types.
100% focused on building LLM applications. No ML training, no PyTorch. Pure software engineering with AI.
Applied AI + ML fundamentals. Understand how models work, fine-tuning, and deeper system design.
From zero to job-ready in 6 intensive weeks
Python, LLM APIs, Prompt Engineering mastery
Embeddings, Vector DBs, Production RAG, Hybrid Search
LangChain, LangGraph, Multi-Agent Systems, CrewAI
RAGAS, DeepEval, LangSmith, FastAPI, Docker
Build impressive projects, documentation, demos
Applications, Interview Prep, Networking
Everything needed for Lead AI Engineer roles
Embeddings, Vector DBs, Chunking, Hybrid Search, Reranking
LangChain, LangGraph, Tool Use, Multi-Agent, Planning
RAGAS, DeepEval, Hallucination Detection, Quality Metrics
Few-shot, Chain of Thought, Structured Output, Function Calling
LangSmith, Monitoring, Deployment, CI/CD, Caching
Architecture Patterns, Scaling, Production Best Practices
Choose your track and begin your transformation into a Lead AI Engineer.