Phase 1: Foundations
Months 1-2 · Python, Git, Math basics
Phase 2: Machine Learning
Months 2-4 · Supervised, unsupervised, evaluation
Phase 3: Deep Learning
Months 4-6 · Neural networks, PyTorch, Transformers
Phase 4: LLM Engineering
Months 6-8 · RAG, Agents, Fine-tuning, Prompting
Phase 5: Production & MLOps
Months 8-10 · Deployment, inference, monitoring
FAQ
How long does it take to become an AI engineer?
6-12 months with focused daily study. Add 3 months if starting from zero programming.
Do I need a degree?
No. A strong portfolio with deployed projects matters more than credentials for engineering roles.
What salary can I expect?
US: Entry $90-130K, Mid $150-220K, Senior $250-400K+. Varies by location and specialization.
What skills are most in demand?
RAG systems, LLM deployment, MLOps, and production inference (vLLM, quantization) are the highest-demand skills in 2026.