This article outlines a step-by-step approach to quickly become a certified AI Project Manager, a crucial role in managing AI initiatives from concept to deployment. It highlights the need to understand foundational AI concepts like Machine Learning and NLP to bridge data scientists, developers, and business stakeholders effectively.
This content compares the Microsoft Azure AI Fundamentals (AI-900) and Azure AI Engineer Associate (AI-102) certifications, crucial for cloud professionals in the AI-first economy. It recommends a strategic approach: starting with AI-900 for conceptual clarity and then moving to AI-102 for hands-on expertise.
The author completed their Machine Learning learning roadmap, having built projects like customer churn prediction. Subsequently, they changed their plan, shifting focus from solely mastering advanced models like Deep Learning to building usable products.
This visual comparison chart explains the differences between AWS SysOps, DevOps Engineer, and Cloud Architect roles. It highlights key skills, responsibilities, tools, and career levels to help beginners choose the right cloud career path.
The author reflects on disconnecting from screens and uses a Remarkable tablet for reading and note-taking to achieve uninterrupted thinking. They also mention their background in sociology and psychology, which they apply daily as an engineering manager.