AI & Machine Learning Engineer Career Guide
Master Python, Linear Algebra, Neural Networks, PyTorch, and modern LLM / RAG architectures with zero paid courses.
Interactive Sprint Milestones & DevScore
Check off weekly milestones as you build deliverables. Each checked milestone boosts your candidate DevScore (+30 XP) on StudyNest Academy.
Tensors, Dot Products & Matrix Math
In-Depth Curriculum & Video Masterclasses
Curated step-by-step guides with zero paid subscriptions. Complete the hands-on project before advancing.
Python Foundations & Mathematical Intuition
Core Python, Matrix Multiplication, NumPy vectorization, and basic calculus intuition.
Deep Learning Specialization & Zero to Hero
Hugging Face LLM & NLP Masterclass
Prompt Engineering & RAG for Generative AI
Made With ML: Production MLOps
Stanford CS229: Machine Learning Course
CS50's Introduction to Artificial Intelligence with Python
Essence of Linear Algebra
Build backpropagation and gradient descent from scratch without using PyTorch or TensorFlow.
Deep Learning & Neural Networks (PyTorch)
From backpropagation to Convolutional and Recurrent Networks using PyTorch.
Train a custom ResNet/Vision model on satellite or biomedical images and deploy with FastAPI.
Modern Generative AI, RAG & LLMs
Embeddings, Vector Databases, Retrieval-Augmented Generation (RAG), and fine-tuning with Hugging Face.
Build an AI agent that retrieves and answers questions against technical PDFs using embeddings and a free vector DB (e.g. Chroma/Qdrant).
Live Industry Roles Requiring AI & Machine Learning Engineer Skills
Industry hiring requirements matching these curriculum milestones. Master these nodes to pass screening.