AI Agent Evaluation Training teaches you how to test AI agents, identify mistakes, evaluate responses, and improve performance. Through AI Agents & Agent Evaluation, you will learn how AI tools answer questions, use information, and complete tasks. The training focuses on evaluating agent performance, identifying errors, and testing AI applications before deployment.
By the end of this course, students will be able to:
AI Agents Training helps you understand how AI agents follow instructions, use tools, and complete tasks. Learn how to test agent responses, identify errors, and improve performance through practical examples.
An AI Agents Course can help you learn how to build, test, and improve AI-powered applications. You do not need to learn everything at once. Start with the basics and practise one task at a time. You will learn how to create test cases and check whether an AI agent gives the expected result. You will also learn how to compare answers and find problems in the agent's work.
AI Agent Testing helps you check whether an AI agent does its job correctly. It is not enough to check only the final answer. You should also check how the agent follows instructions and uses tools. For example, imagine an AI agent that helps users book an appointment. It must understand the request, select the right time, and give the correct details. Testing helps you find out whether each step works well.
DeepEval Training teaches you how to check the quality of AI applications. DeepEval is a tool that helps developers test the answers given by AI systems. You will learn how to create test cases and use suitable measures to check results. For example, you can check whether an answer matches the user's question or uses the right information.
LangSmith Training helps you learn how to track and check the work of AI applications. It provides tools to see how an application runs and where a problem may occur. For example, if an AI agent gives a wrong answer, you may need to check the steps it followed. LangSmith can help you inspect these steps and find where things went wrong. You will learn about traces, test data, and result comparisons. You will also learn how to check different versions of an application after making changes. This knowledge can help you understand complex AI tasks more clearly. It also makes it easier to find errors and improve the way an AI application works.
LangSmith Agent Evaluation helps you check how well an AI agent follows instructions and completes tasks. You can use test data to check its answers and review the steps it takes. You will learn how to study test results, find errors, and compare different versions of an AI application. These skills can help you understand how teams test AI agents before using them in real projects. This training can be useful for software developers, QA testers, AI engineers, and automation professionals. Beginners with basic programming knowledge can also start by learning the main concepts
Visualpath offers AI Agents & Agent Evaluation Training covering AI agent testing, evaluation metrics, DeepEval, and LangSmith. Learn practical techniques to evaluate agent responses, identify errors, and improve AI application performance.
