AI and business solutions
Microsoft Certified: Agentic AI Business Solutions Architect
Supports practical discussion of AI agents, business workflows, governance and adoption considerations.
Certifications
Current learning that supports practical delivery experience.
Certifications support credibility, but they are not the main story. They sit alongside a long delivery background in software engineering, data platforms, cloud integration and business-critical systems.
Confirmed certifications
Cloud, data, AI and engineering credentials.
Azure AI
Microsoft Certified: Azure AI Engineer Associate
Supports work with Azure AI services, AI-enabled applications and applied AI integration patterns.
Azure AI
Microsoft Certified: Azure AI Fundamentals
Provides a broad foundation for responsible and practical use of Microsoft AI services.
AWS AI
AWS Certified AI Practitioner
Broadens the cloud and AI view beyond Azure, including general AI concepts and AWS AI services.
Azure data
Microsoft Certified: Azure Data Engineer Associate
Supports Azure data platform work including ingestion, transformation, storage, governance and analytics.
Azure development
Microsoft Certified: Azure Developer Associate
Supports cloud application delivery, Azure Functions, APIs, integration and secure application patterns.
Azure cloud
Microsoft Certified: Azure Fundamentals
Provides a broad baseline across Azure services, cloud concepts, security, governance and cost awareness.
Data engineering
Databricks Certified Associate Developer for Apache Spark
Supports Spark-based data engineering, scalable processing and modern lakehouse concepts.
Programming
Python Institute: Certified Associate Python Programmer
Supports Python use across data engineering, automation, AI integration and technical prototyping.
How to read this page
Certifications are useful evidence, not a substitute for judgement.
The qualifications show current engagement with Microsoft cloud, Azure data engineering, AI services, agentic AI and related development practices.
The stronger value comes from combining that current knowledge with practical experience of production systems, stakeholder needs, legacy constraints, data quality, security, delivery risk and maintainability.
Need current skills with delivery depth?
Use the contact page to discuss the requirement.
Relevant areas include Azure data platforms, AI-enabled applications, cloud integration and senior engineering support.