🤖 ML / AI Engineer
Data, AI & Software career path
Progress from AI literacy and Python to production ML engineering and MLOps on major platforms.
Typical roles
- Machine Learning Engineer
- MLOps Engineer
- Data Scientist
Suggested certifications, by phase
Foundation
- AI-901 Microsoft Certified: Azure AI Fundamentals (AI-901)
- AWS AIF AWS Certified AI Practitioner (AIF-C01)
- PCAP Python Institute PCAP – Certified Associate Python Programmer
- NCA-ADS NVIDIA-Certified Associate: Accelerated Data Science
Core
- MLA-C01 AWS Certified Machine Learning Engineer – Associate
- AI-300 Microsoft Certified: Machine Learning Operations Engineer Associate
- DBX ML-A Databricks Certified Machine Learning Associate
- SAS-AIML SAS Certified Professional: AI & Machine Learning
Advanced
- Google PMLE Google Cloud Professional Machine Learning Engineer
- DBX ML-P Databricks Certified Machine Learning Professional
- NCP-ADS NVIDIA-Certified Professional: Accelerated Data Science
Mastery
- GMLE GIAC Machine Learning Engineer
- AIGP IAPP Artificial Intelligence Governance Professional
A suggestion, not a set of prerequisites — one or two certifications per phase is plenty.