Leverage your Power BI expertise to transition into AI engineering within the Microsoft ecosystem. As a Power BI analyst, you already understand the fundamentals that matter most in AI, transforming raw data into actionable insights, building intuitive dashboards, and translating business requirements into technical solutions. Your DAX skills demonstrate you can write complex expressions and think algorithmically. Your Power Query (M) experience shows you understand data transformation pipelines, which directly maps to AI data preprocessing. Your familiarity with Azure services gives you a head start with Azure OpenAI, Azure Machine Learning, and Cognitive Services. The analytical mindset you've developed, understanding what metrics matter, how to present insights effectively, and how to work with stakeholders, is exactly what AI engineering requires. Microsoft's AI strategy is deeply integrated with Power BI through Copilot, custom AI visuals, and Azure AI services, meaning your existing Microsoft certifications and knowledge compound rather than reset. This path focuses on Python fundamentals, Azure AI services, and building AI-augmented analytics solutions. By combining your BI expertise with AI capabilities, you'll be uniquely positioned to build intelligent reporting systems, automated insight generation, and AI-powered decision support tools. Timeline: 6-8 months.
Skills You'll Build
Skills You'll Build
Skills You'll Build
Skills You'll Build
Skills You'll Build
Skills You'll Build
Skills You'll Build