Azure AI & Data Engineer Career Path (AI-900 → DP-100 → AI-102)
AI and data are the fastest-growing areas in tech. The Azure AI & Data Engineer builds intelligent applications and the data platforms that power them — from machine learning models to computer vision, natural language, and generative AI with Azure OpenAI. Here's the path to break in.
Who this path is for
Great for developers, analysts, or graduates interested in machine learning and AI. Basic Python and data concepts help, and you'll build the rest through the path.
The certification path
1. AI-900 — Azure AI Fundamentals
Start here. Understand AI workloads, responsible AI, machine learning, computer vision, natural language, and generative AI concepts. No coding required.
2. DP-100 — Azure Data Scientist Associate
Train, tune, deploy, and operationalise machine learning models with Azure Machine Learning — plus responsible ML practices.
3. AI-102 — Azure AI Engineer Associate
Build production AI solutions: computer vision, natural language, knowledge mining, document intelligence, and generative AI with Azure OpenAI.
Skills you'll gain
- Machine learning workflows with Azure Machine Learning
- Computer vision and natural language processing
- Building with Azure AI services and Azure OpenAI (generative AI)
- Responsible AI and model deployment (MLOps)
- Integrating AI into real applications
Jobs this path leads to
- Azure AI Engineer
- Data Scientist
- Machine Learning Engineer
- Applied AI / Generative AI Developer
Become an Azure AI & Data Engineer with EduRyze
Live, instructor-led AI-900, DP-100 and AI-102 training with hands-on labs, real ML projects, and AI-powered exam prep.