Course Overview

The Agentic AI for Software Test Automation course is a 32-hour hands-on program designed to introduce software professionals to the next generation of AI-driven testing through Agentic AI. Unlike traditional test automation, Agentic AI empowers autonomous agents to perform complex QA tasks, adapt to changing scenarios, and optimize testing workflows with minimal human intervention.

Participants will explore the fundamentals of Agentic AI, its impact on the Software Development Lifecycle (SDLC), and how it revolutionizes quality assurance. Through practical exercises, attendees will learn to build intelligent AI agents using LangGraph and LangChain, integrate them into testing tools, and automate QA processes such as defect detection, test execution, and reporting.

By the end of the program, learners will be able to design, implement, and deploy Agentic AI solutions for software testing, significantly improving testing speed, efficiency, and adaptability in real-world development environments.

Program Duration

Duration: 3 days (24 hours)

Format: Classroom-based, Virtual Instructor-Led Training

COURSE OBJECTIVES

By the end of this course, participants will be able to:

·      Understand the foundations of Agentic AI in Software Testing

o  Explain the concept of Agentic AI and its role in automating QA processes.

o  Identify key trends, benefits, and challenges of adopting Agentic AI in the Software Development Lifecycle (SDLC).

·      Explore Agentic Testing Concepts and Workflows

o  Understand how Agentic AI agents operate, make decisions, and perform autonomous testing tasks.

o  Analyze the impact of agent-based testing on efficiency, accuracy, and defect detection.

·      Develop AI-powered Testing Agents

o  Create and configure intelligent agents using LangGraph and LangChain.

o  Build a basic chatbot agent capable of performing QA-related interactions.

o  Integrate AI agents with testing tools to execute automated workflows.

·      Automate QA Processes using Agentic AI

o  Implement autonomous agents to generate, execute, and evaluate test cases.

o  Apply Agentic AI to accelerate regression testing, defect triaging, and reporting.

·      Design and Deploy Agentic AI Solutions for Real-World QA

o  Develop end-to-end AI-driven test automation solutions using Python SDKs.

o  Evaluate agent performance and optimize testing pipelines with minimal human supervision.

SKILLS YOU WILL GAIN

·      Artificial intelligence

·      Agentic AI

·      Python SDK

·      Langgraph

·      Langchain

AUDIENCE

·      AI enthusiasts

·      Software developers

·      Software Testers

·      Test engineers