AI Automation Engineering
Build and deploy intelligent AI agents for business automation.

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About the program
AI Automation Engineer is a practical program focused on building autonomous AI agents that can observe, reason, and act independently.
Learners work with Microsoft Copilot Studio, Power Automate, LangChain, Semantic Kernel, AutoGen, RAG, and MCP to design intelligent workflows and multi-agent systems.
The program culminates in a production-ready AI agent that integrates business workflows, external systems, contextual data, orchestration, security, evaluation, and cost optimization.
Core competencies you’ll develop
AI agent fundamentals, reasoning patterns, and automation use cases
Microsoft Copilot Studio, custom copilots, knowledge bases, and plugins
Workflow automation with Power Automate, Logic Apps, and APIs
RAG, vector databases, LangChain, Semantic Kernel, AutoGen, and MCP
Agent security, evaluation, cost optimization, orchestration, and deployment
Who it’s designed for?
Developers
IT professionals
Business users
Citizen developers
Career paths after this program
About the program
AI Automation Engineer is a practical program focused on building autonomous AI agents that can observe, reason, and act independently.
Learners work with Microsoft Copilot Studio, Power Automate, LangChain, Semantic Kernel, AutoGen, RAG, and MCP to design intelligent workflows and multi-agent systems.
The program culminates in a production-ready AI agent that integrates business workflows, external systems, contextual data, orchestration, security, evaluation, and cost optimization.
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Reach out to learn more about the program or discuss
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AI for Finance
Apply generative AI to streamline finance and accounting workflows without coding.
AI for Sales
Use generative AI to accelerate sales, outreach, and revenue workflows.
AI for Finance
Apply generative AI to streamline finance and accounting workflows without coding.
AI for Sales
Use generative AI to accelerate sales, outreach, and revenue workflows.

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