Agentic AI Builder: Setting Up a Functional AI Agent

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Agentic AI Builder: Setting Up a Functional AI Agent

Coursera · Intermediate ·🤖 AI Agents & Automation ·1mo ago

Key Takeaways

Builds a functional AI agent using Agentic AI Builder to automate complex tasks

Original Description

Your organization has assessed its need and ability to implement one or more AI agents with minimal risk. Now it's just a matter of building those agents—that's where you come in. In this course, you'll translate business requirements into a functional AI agent that can automate complex tasks and processes that would otherwise require significant human effort. Ultimately, this can lead to improved user productivity, a reduction in operational costs, and enhanced employee and customer satisfaction. This is the second course in a series and is meant to build upon the foundation of the first course (AgenticAIBIZ) by giving technical practitioners the skills they need to successfully build agentic AI into their organizations. This course is designed for programmers, IT infrastructure personnel, DevOps/MLOps personnel, and any other technically minded professional who is responsible or may soon be responsible for implementing agentic solutions in their organization. This course is also designed to assist you in preparing for the CertNexus® Agentic AI Builder™ (Exam AGB-110) credential. In this course, you will: set up the agent development environment; assess LLM behavior in agent contexts; implement the agent reasoning loop; implement tools for the agent to use; add knowledge to an agent through retrieval-augmented generation (RAG); enforce structure, safety, and reliability in an agent; test the behavior and performance of an agent; and deploy a single-agent system to production. NOTE: In order to use the labs in this course as intended, you will need access to an OpenAI API key. This is a paid service, but your total costs should not exceed $5. The course setup instructions provided in the first module of the course go into more detail about the API requirements.
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