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- AI
Integrating AI Agents with Enterprise Tools
AI agents built on the Model Context Protocol (MCP) can connect directly to the enterprise tools teams already use, from messaging platforms to CRMs to code repositories, reading data and taking action inside them instead of requiring manual handoffs.\ \ This path shows you how to connect agents to enterprise tools such as Slack, Salesforce, and GitHub as agent-callable tools, along with the governance practices needed to deploy them safely in production. This path is designed so learners can pick and choose among the tool-specific courses based on what is used in their organization - learners don't need to take all of the courses.
**This learning path is actively in production. More content will be added to this path as it gets published and becomes available in the library. To view the full list of content to be included in this Path, click the "About this path" tab below.**
Content in this path
Integrating AI Agents with Enterprise Tools
Try this learning path for free
What You'll Learn
- How to integrate AI agents with communication and project-management tools like Slack, Jira, and Confluence
- How to integrate AI agents with core business systems like Salesforce and ServiceNow
- How to integrate AI agents with document and code repositories like Google Drive and GitHub
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- 1. Integrating AI Agents with Slack\
- 2. Integrating AI Agents with Jira and Confluence\
- 3. Integrating AI Agents with Salesforce \
- 4. Integrating AI Agents with ServiceNow \
- 5. Integrating AI Agents with Google Drive \
- 6. Integrating AI Agents with GitHub
- Before starting this path, learners should complete the following courses:\
- Introduction to Model Context Protocol (MCP)\
- Model Context Protocol in Practice\
- Integrating AI Agents in Enterprise Systems\
- Agentic AI Safety and Alignment
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