Inference Lab — Applied AI Engineering Curriculum

A structured 12.5-month program that takes developers from basic Python syntax to building and deploying production AI systems.

Program Structure

Phase	Name	Duration	Focus
0	Engineering Foundations	2 months	Python, Linux, Git, SQL
1	Data Engineering & Visualization	2 months	NumPy, Pandas, Stats, Seaborn
2	Machine Learning Engineering	2.5 months	Scikit-learn, MLflow, Pipelines
3	Deep Learning & NLP	2.5 months	PyTorch, Transformers, HuggingFace
4	AI Systems & LLM Engineering	2 months	RAG, Agents, FastAPI
5	MLOps & Deployment	1.5 months	Docker, CI/CD, Monitoring

What This Is Not

This is not a tutorial series. It is not a collection of Jupyter notebooks that explain concepts in isolation. Every phase ends with a deployed, publicly visible project. Every session builds on a real codebase, not a toy example.

Entry Requirement

Students entering Phase 0 should know basic Python syntax — loops, functions, conditionals. Nothing more is assumed. Everything else is built from here.

Enrollment

At Inference Lab, we also run small cohorts with direct mentorship. For enrollment and mentorship inquiries:

• Email: inferencelab.ai@gmail.com
• Contact Number: +923269575321