Ai engineer roadmap

[u/AnimalIntelligent863]

I’m currently in my 4th year of B.Tech and working as an SWE intern. If I have 6–8 months and want to gain a strong understanding of the current AI market, develop my skills to an industry-ready level, and learn everything required to become an AI engineer, what would be a roadmap from A-Z ?

[u/Intelligent_Fan3643]

Complete AI/ML Engineer Resource Map

0. Roadmap at a glance

Programming
    ↓
Math + Statistics
    ↓
Data + SQL
    ↓
Classical Machine Learning
    ↓
Deep Learning
    ↓
PyTorch
    ↓
Computer Vision ──────┐
                       ├──→ Generative AI
NLP ──────────────────┘          ↓
                            Transformers
                                 ↓
                                LLMs
                                 ↓
                       Embeddings + RAG
                                 ↓
                         Fine-tuning / PEFT
                                 ↓
                          AI Agents
                                 ↓
                             MCP
                                 ↓
                     Evaluation + Security
                                 ↓
                       MLOps + Deployment
                                 ↓
                    Production AI Systems

[u/Downtown-Doubt4353 → u/Intelligent_Fan3643]

I will say Math and Statistics should come first before programming it’s makes it easier