What will you learn in Microsoft AI Agents: From Foundations to Applications Professional Certificate course
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Understand the fundamentals of AI agents and autonomous systems.
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Build AI agents using Microsoft AI and cloud services.
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Design agent workflows powered by large language models (LLMs).
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Integrate tools, APIs, and memory systems into AI agent architectures.
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Deploy and monitor AI agents in cloud environments.
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Apply responsible AI, governance, and security best practices
Program Overview
Foundations of AI Agents
⏳ 3–4 weeks
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Learn what AI agents are and how they differ from traditional AI systems.
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Understand agent reasoning, planning, and task execution.
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Explore real-world applications of autonomous AI systems.
Building AI Agents with Microsoft Tools
⏳ 4–5 weeks
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Use Microsoft Azure AI services for agent development.
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Integrate APIs and enterprise data into agent workflows.
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Implement LLM-based reasoning and orchestration.
Multi-Agent Systems and Workflow Automation
⏳ 3–4 weeks
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Design collaborative multi-agent systems.
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Automate business processes using AI agents.
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Manage state, memory, and tool interactions.
Deployment, Monitoring, and Responsible AI
⏳ 3–4 weeks
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Deploy scalable AI agents in cloud environments.
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Monitor performance, security, and compliance.
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Apply fairness, transparency, and governance frameworks.
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Job Outlook
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Highly relevant for AI Developers, Cloud Engineers, and Automation Engineers.
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Growing demand for professionals skilled in AI agent development and workflow automation.
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Valuable for roles such as AI Application Engineer, Azure AI Developer, and AI Solutions Architect.
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Aligns well with Microsoft Azure certifications and AI career paths.
