06 months to become an AI Engineer
If I had 6 months to become an AI Engineer. I’d do this.

Stage 1 - Python Basics
Syntax, functions, OOP, NumPy, Pandas.
Stage 2 - Math for Al
Linear algebra, statistics, probability, calculus.
Stage 3 - Machine Learning
Regression, classification, clustering, metrics.
Stage 4 - Deep Learning Basics
Neural networks, CNNs, RNNs, training fundamentals (PyTorch/TensorFlow).
Stage 5 - Modern AI (LLMs)
Prompt engineering, dings, RAG.
Stage 6 - Build Al Projects
Chatbots, NLP apps, image models.
Stage 7 - GenAl Tools
LangChain, HuggingFace, vector databases (FAISS, Pinecone).
Stage 8 - MLOps Essentials
FastAPI, Docker, GitHub, cloud deployment basics.
Stage 9 - Full Projects
End-to-end ML pipeline, deployed Al apps.
Stage 10 - Portfolio
5-7 polished projects with README + demo videos.
Stage 11 - Job Prep
LeetCode basics, system design basics, ML/Al interviews.
Stage 12 - Apply
Al Engineer, ML Engineer, Data/Al roles, GenAl developer.

Bookmark this for future references.

Subsection: Learning Section
Section: Student Zone

Topic Files

Last edited REHAN - 22 Jun 2026, 01:34
Latest Activity: 22 Jun 2026, 01:34