This certification prep course validates your expertise in designing, developing, and deploying advanced Azure AI solutions using Python and Microsoft Foundry. Please note that Practice Labs are made available on a first-come, first-served basis and are subject to availability. As a result, Practice Labs may not be available to all learners enrolled in this course.
Duration - 10 Hours
Level - Intermediate
Style - Self paced
Course Type - Credential Ready
Certification - Yes
Hands on Labs - Yes
Solution Areas - Cloud and AI Platforms, Ubiquitous Innovation (Frontier), Build a unified, governed data and AI estate (Core), Create a competitive edge with AI (Frontier), Modernize your data to drive results and leverage AI (Core)
Featured Product - Microsoft Azure, Microsoft Foundry
In this introductory module, we will walk you through the key information you need to know before starting your certification prep course. You'll gain a clear understanding of the steps, expectations, and benefits.
This module contains recordings of the Live Cert Week sessions. Recordings are added here on a day-wise basis so you can revisit key concepts and discussions at your own pace.
Understand how to plan and manage Azure AI solutions using Microsoft Foundry services. Learn model selection strategies across LLMs, small language models, multimodal models, and AI tools. Configure AI projects, model deployments, retrieval strategies, agent configurations, safety filters, guardrails, responsible AI practices, and evaluation techniques. Gain hands-on experience creating Foundry projects, deploying generative AI models, and building AI-powered chat applications.
Learn to design and implement generative AI applications and agentic solutions using Microsoft Foundry. Explore workflows, tool-augmented reasoning, RAG implementations, function calling, conversation memory, and agent orchestration. Configure, evaluate, optimize, and operationalize AI applications using prompt engineering, model tuning, monitoring, and agent frameworks. Build practical AI agents integrated with tools, knowledge sources, and enterprise workflows.
Develop AI solutions for text analysis, language understanding, and speech-based interactions. Learn to extract entities, topics, summaries, structured outputs, sentiment, tone, and sensitive information using Azure AI services. Implement speech-to-text, text-to-speech, translation workflows, and multimodal conversational experiences using Azure Language, Translator, Speech services, and AI agents.
Design and implement computer vision and multimodal AI solutions using Azure AI services. Learn image and video generation, visual understanding, content safety controls, OCR, document intelligence, semantic search, vector search, and grounding pipelines. Build solutions that combine documents, images, audio, and video processing to support RAG applications and AI agents.
In this exam preparation module, learn effective preparation strategies for the certification exam, including sample questions and study tips.
This Practice Lab module gives you hands-on lab exercises to reinforce your learning. Please note that lab seats are limited and assigned on a first-come, first-served basis, so access may not be available to all learners enrolled in this course.
Take this practice test/assessment to validate your skills gathered from the self-paced online learning course completed in this course to mark your completion.
If you have further questions or need additional support, this module provides everything you need to know.
You can now mark your course completion on your Microsoft Learn profile using your Achievement Code. Redeeming your code will add your achievement to your profile and help track your learning progress, badges, and certification readiness.
226 Hours • Complete Learning Journey(2).PNG?lmsauth=5e795da5d686ce9f06e769cf64ac963c5b80b9f4)
Intermediate
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Intermediate
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Advanced
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Intermediate
Last Updated 06 Aug 2026