Learning path

Learning AI as a Data Architect

A guided path for data architects who want AI help with models, documentation, governance, and platform choices. Learn to set up your AI, use job-specific prompts, and pick video courses that fit your work.

Beginner

IT and development

Start the path

Your path

Everything in the Data Architect AI kit, in the order that makes sense. Members tick off each step and see their progress.

Week 1 · 15 minutes to start

Set up your AI

We guide you through each click.

Add the Data Architect AI kit to your AIDownload it for your AI (it installs as a plugin) and follow the steps

Set-up

Optional: connect the AI CoachYour kit stays up to date by itself, plus a daily brief in your AI

AI Coach

Course: AI for Data ArchitectsHow to talk to AI for your job

Prompt course

Try: Drafting Data ModelsLike "Design a Logical Data Model"

Prompts

Try: Writing Architecture DocumentationLike "Architecture Decision Record"

Prompts

Week 2

Let skills do your everyday tasks

ArchitectureRuns architecture decisions end to end, weighing trade-offs and writing the ADR. Example: documenting why you chose Postgres over DynamoDB for billing.

Skill

Database designGuides schema, index, ORM, and serverless database choices. Example: adding a composite index so your order lookup drops from seconds to milliseconds.

Skill

Database architectDesigns a data layer from scratch and selects technology. Example: planning a sharded customer store that scales past 500 million rows.

Skill

Course: Break It Down: Least-to-Most, Plan-and-Solve and Tree of ThoughtsPrompt framework course

Certificate

Week 3

Connect your apps and pick your AI apps

BigQuery MCP serverLets your AI look at your BigQuery tables and run SQL queries for you.

MCP server

DBConvert Streams MCP serverLet your AI read your databases, files and S3 storage, and run read-only queries across all of them at once.

MCP server

LumeLume AI automates data mapping between any two schemas in seconds, enabling teams to efficiently ingest, normalize, and build data pipelines from diverse source

AI app

naonao: an AI data IDE that centralizes schema, docs and data-stack context so teams can safely edit models, reduce context switching, prevent prod-breaking change

AI app

Course: ChatGPT Power User Guide: Boost Productivity, Creativity & Research FastVideo course

Certificate

Week 4

Hand whole tasks to AI agents

Data Pipeline Schema Adaptation AgentPipelines adapt to upstream changes without corrupting data.

AI agent

Integration Setup Verification AgentConfirm that data flows correctly in both directions before an integration is marked complete.

AI agent

Course: Stop Prompting AI Wrong: Context-First Prompt EngineeringVideo course

Certificate

Week 5

Build your own tools

Architecture decision retrieval mapBuild it to trace why a design was chosen and when that reasoning changed, so new engineers stop re-litigating old decisions.

App to build

Database ArchitectDesigns scalable, performant data layers from scratch or re-architects existing ones.

Grok Bot

Course: How to Integrate ChatGPT into Microsoft ExcelVideo course

Certificate

Course: AI Fundamentals from Google Experts | Professional CertificateVideo course

Certificate

After that

Keep growing

AI Coach: your daily brief and weekly certificationNews, tools and one idea a day for data architects

AI Coach

Decomposition PromptingTake the exam and get certified

Certificate

Certification in Applying ChatGPT to Enhance Productivity, Creativity, and ResearchTake the exam and get certified

Certificate

Everything for data architects

All the courses, certifications, AI tools, MCP servers and apps for data architects, most relevant first. Open any list to see more.

About this learning path

6 topics

AI for Data Architects: A Practical Learning Path

Data architects carry a lot: models, documentation, governance rules, integration maps, and platform decisions. AI can take the first pass on many of these tasks, so you spend your time on judgment, trade-offs, and talking with people.

This path shows you how to set up your AI assistant, connect it to your work, and use prompts built for a data architect's day. You also get video courses chosen for this job and the certifications that come with them.

Why AI Matters Now
Data landscapes grow faster than teams. Business groups want answers sooner, and regulations keep shifting. AI helps you draft, compare, and explain without starting from a blank page.
It does not replace your architecture judgment. It gives you a fast first draft and a second set of eyes on details you might otherwise miss.
What The Path Includes
You start with setup questions that help you choose and configure an AI assistant. Then you connect your AI to the tools and documents you already use, safely.
Next come skills for the job inside your AI, followed by a prompt course with nine lessons made for data architects. Video courses picked for your role and their certifications round out the path.
How It Saves You Time
Drafting a data model, writing a decision record, or mapping fields can take hours. With the right prompts, you get a solid first pass in minutes and refine from there.
The time you win back goes to stakeholder conversations, risk reviews, and the design choices that need a human.
How It Protects Your Career
AI is changing how architecture work gets done. Architects who can direct AI, check its output, and explain decisions will be more valuable.
This path helps you stay in charge of the tools instead of watching them pass you by. You learn to use AI in ways that keep quality and trust high.
How To Start
Begin with the setup questions and connect your AI. Then take the prompt course lesson by lesson, trying each prompt on a real task from your week.
Pick one video course that matches a current project. Finish it, note what you learned, and bring one new idea to your team.
Frequently asked questions
Do I need to be technical to use this path?
You already work with data systems, so you have the context. The path explains AI setup and prompts in plain language, with examples from data architecture. You do not need to write code to get value.
Which AI tools does this path work with?
The prompts work with common assistants like ChatGPT, Claude, and Gemini. You will learn how to connect your AI to documents and tools you already use. The focus is on the habits and questions, not one specific product.
How long does the path take?
You can move through the setup and prompt course in a few focused sessions. The video courses vary in length, so you can fit them around your work. Most architects take a few weeks, a little at a time.
Will this help me with governance and security?
Yes. The prompt course includes lessons on governance policies and safe data handling. You will practice drafting rules and checking what should stay private. The path also covers how to keep sensitive details out of AI tools.

Start this path

Learn AI as a Data Architect, step by step

$99

10 AI courses in the right order
A certificate for LinkedIn after each exam
Ready-to-use prompts for data architects
Plus the Data Architect AI kit and all 700+ courses

Start the path

The Data Architect AI kit

Every skill, prompt, AI agent and connection in the kit.

Open the AI kit →

At a glance

Type: Learning path
Level: Beginner
For: IT and development
Steps: 9
Video courses: 120
AI tools: 24
MCP servers: 12
Apps to build: 6
Updated: September 25, 2026

Your learning path

The courses for your job, in the right order

Picked for your job from our 700+ courses
Every course ends in a certificate
Part of your job's AI kit, with skills and AI agents

500+ jobs · no sign-up to look

Watch, then get certifiedAn exam after every course and a certificate for LinkedIn.

Your path

Set up your AI

Let skills do your everyday tasks

Connect your apps and pick your AI apps

Hand whole tasks to AI agents

Build your own tools

Keep growing

Everything for data architects

Take the prompt courses

Break It Down: Least-to-Most, Plan-and-Solve and Tree of Thoughts

AI for Data Architects (Prompt Course)

Watch the video courses or add them to your Favorites for later

ChatGPT Power User Guide: Boost Productivity, Creativity & Research Fast

Stop Prompting AI Wrong: Context-First Prompt Engineering

How to Integrate ChatGPT into Microsoft Excel

AI Fundamentals from Google Experts | Professional Certificate

What is Generative AI and how does it work?

How to Use ChatGPTs Custom Instructions

How to Use ChatGPT from Beginner to Professional

ChatGPT Prompt Engineering: Proven Techniques for Powerful AI Results

Power BI MCP Server: AI Report Development with No Data Leaks

Understanding ChatGPT projects

AI in Word, PowerPoint, Excel with Microsoft Copilot

Becoming an Ultimate Prompt Engineer Specialist (from Beginner to Profesional)

Advanced Prompt Engineering for LLMs: Workflows & Templates

Claude Cowork 101: Setup, Connectors & Automation (Free)

Imrpove Your Excel Skills with ChatGPT

Microsoft Copilot AI, Full Course For Beginners

AI & LLM Essentials: 20 Core Concepts in 40 Minutes

GPT-5 Features Made Simple: Complete Beginner’s Guide to New Capabilities

Google Gemini AI Free Course: Setup, Prompts, Tools & Gems

Claude AI Tutorial for Beginners: Build Your Complete AI Workflow

Microsoft AI Copilot in OneDrive

ChatGPT Productivity Tips for Work

Prompt Engineering Tutorial – Master ChatGPT and LLM Responses

Microsoft 365 Copilot Agent Builder: Create & Customize AI Agents Hands-On

Essential AI Skills: Prompt Engineering, Agents, Open-Source AI

Excel Copilot Course

ChatGPT Agent Mode: Automate Workflows, Research, and Daily Tasks

How to Use Microsoft Copilot in Microsoft Word!

How to use Google Sheets Built-in AI capabilities

How to use GPT for Sheets Plugin in Google Sheets

ChatGPT vs Gemini vs Grok: Ultimate Guide to Top AI Model Features & Comparison

AI Data Analysis With LLMs: Clean, Explore, Automate

How to use GPT for Docs Plugin in Google Docs

Using Writing Prompts Like a Pro - Google Prompting Essential)

Excel Copilot: 20 Essential AI Features for Effortless Data Analysis & Productivity

Google NotebookLM + Gemini Course: Deep Research & Workflows

Ultimate Guide to Bing AI Copilot

Microsoft Copilot in Outlook & Teams

ChatGPT for Data Analytics: Full Course - from Beginners to Professional

How to Create your own Custom GPTs in ChatGPT for beginners

Google's 9 Hour AI Prompt Engineering Course In 20 Minutes

RAG Fundamentals and Advanced Techniques – Full Course

Grok AI Essentials: Clear Prompting, Features, and Practical Strategies

Generative AI Essentials & Projects: Build LLM Apps, RAG, Agents

ChatGPT Agent Mode: Features, Setup, and Powerful Use Cases Explained

ChatGPT Projects Course: Setup, Memory, Tools & Workflows

Why AI Adoption Stalls by Week 3-6 Management Skills That Work

Modern AI Evaluation Frameworks: A Fast-Paced Course

Excel Formatting and AI Automation: Boost Productivity with Advanced Techniques

RAG with LangChain: Build an LLM Pipeline in 2 Hours

Model Context Protocol (MCP) Quickstart: LLM Tools & Servers

Building Semantic Search Apps with Vector Databases and Embeddings

Use AI as a Creative or Expert Partner | Google Prompting Essentials

AI-First Skills: Thrive in the Future of Work with Automation and Mastery

Prompt Engineering Fundamentals: Key Techniques for Generative AI Developers

How to Use Claude 3.7 AI - Tips for Beginners!

Understanding and Effectively Using AI Reasoning Models

Retrieval Augmented Generation (RAG) and Vector Databases for Developers

Automate Your Business with AI: My No-Code 10x Faster Workflow

Claude AI for Beginners: Complete Starter Guide

How to Track Tasks with Microsoft Copilot

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

Microsoft Developer Series: Generative AI and LLMs Fundamentals for Beginners

AI Trends: Reliable LLMs, Context Engineering, and Agents

Enterprise AI Engineering: Embeddings, RAG, and Multimodal Agents with AWS Bedrock and Nova

Learning with NotebookLM by Google

GenAI Essentials – Full Course for Beginners

AI Inbox Agent: No-Code Email Automation for Beginners