Hands-on Azure AI Agent and RAG Development
Strengths
Applied Agent Development
Instruction includes building intelligent assistants using vector stores, code interpreters, and function calling within the assistant playground.
Prompt Flow and RAG Workflows
The curriculum covers designing sequential and parallel LLM calls, as well as implementing Retrieval-Augmented Generation (RAG) using Prompt Flow.
Limitations
Terminology and Tooling Aging
One signal from a review predating the displayed update suggests the use of outdated service names like 'Cognitive Search' instead of 'AI Search', and a reliance on Azure Foundry rather than Microsoft Foundry; while the update label may have addressed this, it does not prove a correction.
Incomplete Exam Coverage
A review predating the update indicates that the focus on practical labs may leave gaps in the theoretical features and full syllabus required for complete AI-102 certification readiness; the recent update label does not guarantee these gaps are closed.
Best suited to
- Developers building AI agents via Python SDK
- Learners seeking practical RAG implementation workflows
- Azure professionals preparing for AI-102/AI-103 exams
Less suited to
- Students requiring exhaustive theoretical service explanations
- Beginners lacking foundational Azure cloud context