LangChain for QA: Build RAG, Agentic RAG and AI Chatbots | RCV Academy

LangChain for QA: Build RAG, Agentic RAG and AI Chatbots

Master LangChain to automate testing workflows. Build RAG, Agentic RAG & Agent Chat UI systems for QA/SDET Professionals

👥 52,000+ Students
⭐ 4.5 Star Rating
✓ Lifetime Access
★★★★★ 5,000+ Reviews
🎓 Beginner to Advanced

About This Course

LangChain is transforming how QA professionals approach test automation and quality assurance. If you're tired of purely manual testing workflows and want to leverage AI to make smarter decisions, faster, this course is built for you.

What makes this different? Unlike generic AI courses, we focus on practical LangChain implementation for QA professionals. You'll learn to build production-ready AI agents that handle test analysis, automate bug triage, process test data with retrieval-augmented generation (RAG), and create intelligent chatbots that answer testing questions. All without needing a machine learning background.

Throughout this hands-on course, you'll progress from LangChain fundamentals to building three real-world solutions: a RAG system that answers questions from your test documentation, a conversational chatbot for test case recommendations, and an agentic AI workflow specifically designed for QA automation. You'll understand system messages that guide AI behavior, implement memory to maintain context across conversations, stream outputs for responsive interfaces, and handle multimodal inputs like screenshots and logs from your test environments.

We cover everything step-by-step: setting up Python and VS Code, integrating APIs from Anthropic and OpenAI, working with LangGraph for complex workflows, and using LangSmith for debugging and monitoring your agents. You'll also explore middleware, memory management, and tools. These are the building blocks of effective AI agents.

By the end, you'll have a complete toolkit to bring AI into your QA strategy. You'll automate repetitive testing decisions, build knowledge systems that learn from your test history, and create AI-powered workflows that scale your QA efforts without adding headcount. Whether you're an SDET, QA engineer, or test automation specialist, you'll gain hands-on skills to stay ahead in an AI-augmented testing landscape.

What You'll Learn

Build LangChain AI Agents from Scratch

Design and build LangChain AI agents from scratch that handle test automation workflows.

Retrieval-Augmented Generation (RAG)

Implement RAG to create intelligent test documentation systems that answer questions from your own data.

Agentic AI for QA Decisions

Create agentic AI solutions that automate bug triage, test analysis, and QA decision-making.

Multi-Step Workflows with LangGraph

Work with LangGraph to orchestrate multi-step workflows for complex QA scenarios.

Stream Agent Outputs

Stream agent outputs for responsive, interactive testing tools that feel fast and alive.

Debug & Monitor with LangSmith

Debug and monitor AI agents using LangSmith for production reliability.

Conversational QA Chatbots

Build conversational chatbots that provide intelligent test case and strategy recommendations.

Core Agent Mechanics

Understand system messages, tools, and middleware — the core mechanics of AI agents.

Meet Your Instructor

Manish Verma - Instructor

Manish Verma

Founder & Senior QA Architect

20+ years of QA expertise, now focused on AI-augmented testing

Manish is the founder of RCV Academy and a recognized leader in QA training and AI-powered test automation. With extensive experience at companies like IBM and Capgemini, he brings real-world insights from applying Agentic AI, RAG, and LangChain to practical QA workflows.

His teaching approach combines practical, hands-on learning with industry best practices. Over 225,000 students trust his content across multiple platforms, making him one of the most recognized QA educators in the industry.

Choose Your Learning Plan

Start learning today with flexible pricing options designed for every budget and commitment level.

Monthly

Start with flexibility

$5.99/month

Cancel anytime, first payment non-refundable

  • 8.5+ hours of content
  • Lifetime access
  • All course materials
  • Certificate included
  • Cancel anytime

One-Time

Best value for commitment

$29.99once

Own it forever with no recurring charges

  • 8.5+ hours of content
  • Lifetime access
  • All course materials
  • Certificate included
  • 30-day guarantee

What You Need

Course Requirements

  • Basic familiarity with command line and terminal
  • Prior QA or testing experience is helpful but not mandatory
  • Python fundamentals (Python tutorials available in course if you are new to Python)

Frequently Asked Questions

How long do I have access to the course? +
Forever. Once you enroll, you have lifetime access to all videos, materials, and future updates. Whether you choose monthly, one time, or lifetime membership, the access does not expire.
I don't have a machine learning background. Will I understand everything? +
Yes. This course is built specifically for QA professionals, not data scientists. We walk through LangChain step by step, starting with Python and VS Code setup, so no prior machine learning background is needed.
What is the difference between the three pricing options? +
Monthly at $5.99 per month lets you start cheap but costs $71.88 yearly if you keep it. One time at $29.99 lets you own this course forever. Lifetime membership at $99 gives you access to all courses on the platform, all future updates, and any new courses released. All plans include a 30 day guarantee.
Do I get a certificate? +
Yes. After completing the course, you will receive a certificate of completion that you can share on LinkedIn or include on your resume as proof of your LangChain and AI agent skills for QA.
What if I am not satisfied? +
We offer a 30 day money back guarantee with no questions asked. If you enroll and decide the course is not right for you within 30 days, we will refund your full payment. We are confident you will love it, but we want you to feel secure.
How many hours of content are there? +
The course contains 8.5 hours of on-demand video, plus 2 articles and 3 downloadable resources. Most students complete it in 4 to 6 weeks at 1 to 2 hours per week. You can watch at your own pace and revisit sections anytime.

Who This Course Is For

SDETs

Want to integrate AI into their automation frameworks and scale their testing capabilities.

QA Leads & Managers

Exploring how AI can scale QA workflows across teams without adding headcount.

QA Engineers / Manual Testers

Transitioning to AI-powered testing strategies and looking to future-proof their skill set.

Test Architects

Designing next-generation QA systems that incorporate agentic AI and RAG pipelines.

Anyone Curious About AI in QA

Curious about practical AI applications in testing, no machine learning background needed.

30 Day Money Back Guarantee

Your satisfaction is guaranteed. Enroll risk free. If the course is not what you expected within 30 days, get a full refund with no questions asked. We are this confident you will love it.

Course Curriculum