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Programs / AI Data & RAG EngineerIntermediate PATHWAY

Connect AI to Enterprise Knowledge

Data professionals and engineers building knowledge systems. Learn to build systems with hands-on projects and applied engineering.

PROGRAM OVERVIEW

AI Data & RAG Engineer

Connect AI to Enterprise Knowledge. Develop practical competencies through focused labs, project work and a final capstone.

Who this program is for

Data professionals and engineers building knowledge systems.

Career alignment

RAG Engineer, AI Data Engineer. Role alignment describes relevant skills and does not guarantee employment.

YOUR LEARNING BLUEPRINT

From understanding
to implementation.

01Data Foundations+

Skills and technologies you’ll develop:

Data EngineeringSQLETL/ELTDocument Parsing

Hands-on lab: apply these concepts, test the results and document engineering decisions.

02Retrieval Infrastructure+

Skills and technologies you’ll develop:

EmbeddingsVector DatabasesSemantic Search

Hands-on lab: apply these concepts, test the results and document engineering decisions.

03Knowledge Design+

Skills and technologies you’ll develop:

ChunkingMetadataHybrid RetrievalKnowledge Graphs

Hands-on lab: apply these concepts, test the results and document engineering decisions.

04RAG Quality+

Skills and technologies you’ll develop:

RAGRerankingRetrieval Evaluation

Hands-on lab: apply these concepts, test the results and document engineering decisions.

05Access Control+

Skills and technologies you’ll develop:

Enterprise PermissionsSecure Search

Hands-on lab: apply these concepts, test the results and document engineering decisions.

Show what you can build.

PROJECT 1

Document ingestion pipeline

Build a working system with defined requirements, evaluation and documented limitations.

PROJECT 2

Hybrid search lab

Build a working system with defined requirements, evaluation and documented limitations.

PROJECT 3

Permission-aware knowledge assistant

Build a working system with defined requirements, evaluation and documented limitations.

FINAL CAPSTONE

Demonstrate practical competency.

Build an enterprise knowledge platform that securely searches large internal document collections.

Before you begin.

Prerequisites

SQL, APIs and Python fundamentals.

Professional credential

AI Data & RAG Engineer Professional Certificate. Completion requires published coursework, assessments, projects and capstone requirements. Final passing scores, exam attempts and grading policies will be confirmed for your cohort before enrollment. This is an Epic IT certificate, not a university degree or third-party accredited qualification.

Career pathway

Build on this program with a related engineering pathway or industry specialization.

Questions, answered.

How long is this program?

Schedule and duration to be confirmed.

What is the delivery format?

Online, live and in-person options subject to cohort availability.

What is tuition?

Tuition information coming soon. Pricing, payment plans, start dates and enrollment deadlines will be confirmed before purchase.

What technology do I need?

A reliable computer, internet access and the ability to run development tools. Cloud/API requirements and additional costs will be disclosed in the cohort syllabus.

Is employment guaranteed?

No. Programs develop competencies and portfolio evidence; employment depends on individual preparation and market conditions.

Keep building.

Apply Now