KWAS Academy
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Target Career: AI Engineer / Machine Learning Developer Estimated Duration: 7 Months (10 hrs/week)

AI & Machine Learning Engineer Roadmap

From Python data foundations (NumPy, Pandas) to Deep Learning, LLM APIs, Vector Databases, and RAG Architecture.

2 Major Phases•2 Key Milestones
01

1. Mathematics & Python Foundation

Linear algebra, probability, calculus, and Python data tools.

Beginner

Python for Data Science

Open Lesson →

Python 3, NumPy vectorization, and Pandas dataframes.

Topics to Master:
PythonNumPyPandasMatplotlib
02

2. Classical Machine Learning & GenAI

Embeddings, vector databases, and Retrieval-Augmented Generation.

Intermediate

Vector Embeddings & RAG

Open Lesson →

Semantic search, pgvector, prompt engineering, and autonomous agents.

Topics to Master:
EmbeddingsCosine SimilarityRAG SystemsVector DBs