This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement knowledge connections or tools in your agentic applications. This course also covers multimodal capabilities and understanding of complex content.
Duration - 10 Hours
Level - Intermediate
Style - Self paced
Course Type - Credential Ready
Certification - Yes
Hands on Labs - No
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.
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.
Take this practice test 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.
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Intermediate
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Intermediate
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Advanced
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Intermediate
Last Updated 06 Aug 2026