Practitioner-led · AI-Enabled Database Developer

Become an AI-enabled database developer. For real.

A capability-building program for working data professionals. We teach the job — schema design, secure deployment, and AI features built right into the database — and the credential follows. Subject-matter first. Not a 30-day exam cram.

Two editions — Microsoft SQL & AWS · Free placement assessment · Sign in with GitHub

Doc, the Doc Taco Academy instructor, at his desk

What makes it different

Four claims we hold ourselves to

Role-first, not exam-first

We teach the job — the patterns and techniques real teams use, including ones the exam never tests. The certification is a byproduct of competence, not the goal.

One coherent system

A single project — FieldNote — grows from a bare schema to an AI-enabled production system across the whole program. You finish with one substantial portfolio piece, not five disconnected demos.

Practitioner-led

Designed and taught by working database engineers, not career instructors. Every lesson is grounded in decisions you actually face on the job.

Lab-first AI

You work in real labs from day one — Docker dev containers via GitHub Codespaces (Microsoft) or LocalStack (AWS) — with minimal managed-cloud spend. Skills you build by doing, not by watching.

Two editions, one program

Choose your platform

The same AI-Enabled Database Developer program, taught on the stack you work in.

Available now

Microsoft SQL Edition

AIDD-MS

Take a competent SQL user to an AI-enabled database developer on SQL Server & Azure SQL. Schema design, advanced T-SQL, security and deployment, and AI capabilities inside the database.

  • Credential: Microsoft Certified: SQL AI Developer Associate (DP-800)
  • 5 sub-courses · ~95 lessons · ~95–110 hours
  • SQL Foundations → Database Development → Security & Deployment → AI Capabilities → Capstone

In development

AWS Edition

AIDD-AWS

The same role, built on AWS — Aurora PostgreSQL, DynamoDB, S3, OpenSearch, and Amazon Bedrock. Spans two AWS roles and earns two credentials, by design.

  • Credentials: AWS Data Engineer – Associate (DEA-C01) + optional GenAI Developer – Professional (AIP-C01)
  • 6 sub-courses · ~120 lessons · ~140 hours (est.)
  • Foundations → Modeling & Ingestion → Operations & Security → AI Capabilities → Capstone → AI Specialization
The FieldNote throughline project

The throughline project

One project, start to production

FieldNote is a field-service SaaS application you build across the entire program. It starts as a bare schema and grows — through real design decisions about temporal data, encryption, indexing, window functions, fuzzy matching, and natural-language-to-SQL — into an AI-enabled production system.

  • Build — schema, queries, programmability
  • Harden — security, performance, CI/CD, observability
  • AI-Enable — embeddings, vector search, hybrid retrieval, RAG
  • Defend — close gaps, capstone defense, sit the exam

You finish with one substantial portfolio piece — not five disconnected demos. Read the FieldNotes →

How it works

Self-paced learning, flipped-classroom practice

1

Learn at your pace

Focused lessons of 20–45 minutes — a written explanation, worked examples with real code, and a hands-on exercise you do in your lab. Bite-sized professional learning, not academic lectures.

2

Practice in real labs

Work in Docker dev containers via GitHub Codespaces (Microsoft) or LocalStack (AWS). The same environment every time, minimal cloud spend, and code you keep. Sign in with GitHub — you’ll use it for labs anyway.

3

Show up and defend it

Once per module, a 60–90 minute live session on Zoom turns theory into judgement. Mini-capstones make you demonstrate capability — and the capstone is defended, not just submitted. Recordings are posted for on-demand review.

The journey across the program: Build → Harden → AI AI-Enable → Defend → Specialize.

Two ways to enroll

Buy a class, or commit to the program

Per class

Buy an individual sub-course standalone — for example, jump straight into Database Development or AI Capabilities. Purchase grants immediate access to that course.

  • Self-paced lessons and labs
  • Module quizzes and a mini-capstone
  • Best if you have a specific skill gap to close

Full program

The full collection of classes for an edition, plus a defined allotment of 1:1 access — the Zoom sessions, mini-capstone reflections, and the capstone defense.

  • Every class in the edition
  • 1:1 and small-group time with the instructor
  • Capstone defense and exam-readiness

Exam fees are paid directly to Microsoft / AWS, separate from tuition. See pricing & enrollment →

Don’t guess where to start.

Take the free placement assessment. In a few minutes it tells you whether to begin with Foundations or jump straight into Database Development — and emails you a personalized starting point. No account required to start.

Real skills. A respected credential. In that order.

If you want durable, job-ready database and AI skills — and the certification that proves them — start with a free placement assessment.