On This Page
HeroMost AI courses stop at the API call. This diploma starts there — and spends 24 weeks on what comes after: private retrieval systems, evaluated agent pipelines, and a defended capstone you can put in front of a technical panel.
Every project in this diploma ships as a working system with a public repo, not a one-off notebook.
Private question-answering over your own document corpus — chunked, embedded, retrieved, and re-ranked.
Tool-using agent that answers from structured knowledge with memory, context management, and failure recovery.
RAGAS-scored dashboard tracking faithfulness, relevance, and groundedness across iteration cycles.
Production endpoint serving your model or agent — request handling, latency tuning, and error boundaries.
Your RAG or agent system packaged as a portable container — reproducible, deployable anywhere.
A public repo with architecture docs, evaluation evidence, and a demo recruiters and clients can actually review.
The pre-enrollment test exists to protect learner fit, cohort quality, and the technical level of the track. It is not friction for its own sake — it is part of what makes this diploma serious.
Seven lab sessions. Seven modules shipped. Every stage is real Python you write from scratch — then RAGAS tells you if it's ready to move forward.
Not surface-level familiarity — you build production systems with each of these across 24 weeks.
A high-bandwidth track that builds your foundation properly so the advanced phases actually land — not skippable, not padded.
Why start with Python, ML, and deployment before NLP? Because every RAG system, every agent pipeline, every defended capstone in this diploma requires you to understand what's happening underneath — not just call an API. Weeks 1–13 are the engineering substrate that makes weeks 14–24 produce real systems instead of brittle demos.
Build coding fluency and reliable data operations for AI development.
Develop model intuition and evaluation judgment with practical comparisons.
Move from model training toward API-serving and packaged delivery workflows.
Specialize in advanced AI systems engineering with retrieval, agent control, and robust evaluation practice.
This diploma is best for learners who are ready for deeper system-building and want a more advanced lane than entry-level automation learning.
Direct answers to the questions serious learners ask before enrolling.
Need more? Visit the full FAQ page.
This is what a graduate actually shipped, defended, and walked away with — not a description of what they could build.
End-to-end private RAG system over 300 legal documents — semantic chunking, Qdrant vector store, cross-encoder re-ranking, FastAPI serving layer, RAGAS evaluation across 3 iteration cycles, and a full Docker deployment. Defended in 12 minutes with failure analysis documentation.
Private knowledge systems, RAG pipelines, agent workflows, and a defended capstone — built in a mentor-guided track that requires you to actually ship. August 2026 cohort.
16,000 EGP 12,000 EGP · Early cohort pricing · Limited seats
