An AI-901 roadmap should be concept-based, not a fixed calendar. Use the official skills measured as the sequence, then review practice explanations to decide which fundamentals need more attention.
Begin with Microsoft Certified: Azure AI Fundamentals and the AI-901 study guide. The exam is about conceptual knowledge and foundational technical skills, including Responsible AI, AI model components, AI workloads, Microsoft Foundry, and common Azure AI services.
Study in topic blocks instead of fixed weeks. A practical sequence is Responsible AI, machine learning basics, generative AI and RAG, text and speech workloads, computer vision and image generation, information extraction, and basic Foundry interactions.
Use course and practice resources to check whether you can explain each concept without overengineering it. Keep review centered on recognizing services, workloads, and principles at a fundamentals level.
Use Microsoft Learn and official documentation for Azure Machine Learning, Azure AI Vision, Azure AI Language, Azure AI Speech, Azure AI Document Intelligence, Azure OpenAI, RAG, and Responsible AI. After AI-901, choose AI-103 or AI-300 only if your goals require deeper implementation or operational knowledge.
Use these live DotCreds study paths to keep moving without losing your place.
Official and vendor docs used to ground this page.
Documents Key concepts and considerations in generative AI, which appears in the source-backed concepts for this DotCreds bank.
Documents Identify guiding principles for responsible AI, which appears in the source-backed concepts for this DotCreds bank.
Documents Design and Develop a RAG Solution, which appears in the source-backed concepts for this DotCreds bank.
Flexible search understands AI-901, ai901, ai 901, 901, ai, network plus, and saa c03.