AI Chatbot Testing, LLM Testing, Enterprise RAG & Playwright Automation – Live Training
(AI Fundamentals, RAG Architecture, LLM Evaluation, Hallucination Testing & Playwright Chatbot Automation)
AI Chatbot Testing with LLM, Enterprise RAG & Playwright Automation is a practical training program designed to help learners understand how modern AI chatbots work and how they are tested in real-world enterprise applications.
This course begins with the fundamentals of Artificial Intelligence, Machine Learning, Deep Learning, and Large Language Models (LLMs) to build a strong conceptual foundation. Students will learn how AI systems process text, how tokens are generated, how embeddings represent language, and why LLMs sometimes produce incorrect or unexpected responses.
About The Instructor:
|
Jayanth is a highly experienced Automation and AI Testing professional with 10+ years of industry experience in Software Testing, Test Automation, and AI-driven applications. He has extensive expertise in AI Chatbot Testing, Large Language Models (LLMs), Enterprise RAG Architecture, and Playwright Automation. He has hands-on experience in LLM-based chatbot validation, prompt testing, response accuracy evaluation, and AI model behavior testing. Jayanth also trains students on Enterprise Retrieval-Augmented Generation (RAG) workflows, including document ingestion, embeddings, vector databases, semantic search, and AI response generation. In addition, he has practical knowledge in Playwright Automation using JavaScript/TypeScript, enabling testers to automate UI workflows for AI-driven applications. His training focuses on real-time projects, practical implementation, and industry best practices, helping students gain job-ready skills in AI testing and automation. With a strong passion for teaching and technology, Jayanth helps learners understand the complete AI testing lifecycle, from chatbot validation to automation testing of intelligent systems. |
Sample Videos:
AI Chatbot Testing, LLM Testing, Enterprise RAG & Playwright Automation- Live Training – Demo Recording
AI Chatbot Testing, LLM Testing, Enterprise RAG & Playwright Automation- Live Training – Day1 Recording
Live Sessions Price:
For LIVE sessions – Offer price after discount is 200 USD 159 109 USD Or USD15000 INR 12000 INR 8900 Rupees.
OR
Day 2 Session:
25th March @ 9:00 PM – 10:00 PM (IST) (Indian Timings)
25th March @ 11:30 AM – 12:30 PM (EST) (U.S Timings)
25th March @ 3:30 PM – 4:30 PM (BST) (UK Timings)
Class Schedule:
For Participants in India: Monday to Friday @ 9:00 PM – 10:00 PM (IST)
For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)
For Participants in the UK: Monday to Friday @ 3:30 PM – 4:30 PM (BST)
Trainer Leave Notice
Please note that the trainer has pre-planned leave on the following dates:
- 2nd April to 9th April
What student’s have to say about Trainer :
|
👨 Rahul Kumar: Excellent training by Trainer Jayanth! The concepts of RAG architecture, vector databases, and embeddings were explained with real examples. The Enterprise RAG project helped me understand how AI systems work in real applications. 👨Arjun Reddy: I really liked the session on LLM evaluation and hallucination testing. The trainer explained how to validate AI responses and test chatbots effectively. Very useful for testers moving into AI testing. 👩 Priya Sharma: The course was very informative. I learned RAG architecture, embeddings, and LLM evaluation step by step. Trainer Jayanth explained everything clearly with real-time use cases. 👩 Ananya Gupta: I liked the hallucination testing and AI chatbot validation techniques. This training helped me understand how QA engineers can test AI applications. Very helpful course! 👨 Kiran Patel: The Playwright automation with chatbot testing was the best part of the course. Jayanth sir explained automation with AI tools in a simple and practical way. Highly recommended! 👨 Rohit Sharma:This course gave me a clear understanding of vector databases, embeddings, and Enterprise RAG workflow. The real-time project made learning very practical. 👩 Sneha Reddy: The Enterprise RAG real project was amazing. It helped me understand document ingestion, vector search, and response generation in AI systems. Great training! 👩Kavya Patel: Learning Playwright automation with AI chatbot testing was a great experience. The trainer explained automation workflows and testing strategies very well. |
Why Choose This AI Chatbot Testing with LLM, Enterprise RAG & Playwright Automation Course?
- Strong foundation in Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Large Language Models (LLMs)
- Clear understanding of Enterprise RAG architecture and workflow
- Learn embeddings, vector databases, and semantic search concepts
- Understand how enterprise AI chatbots retrieve and generate answers
- Learn LLM evaluation techniques and hallucination testing
- Observe a live Enterprise RAG demonstration
- Work on a real project with Enterprise RAG
- Learn automation with AI for chatbot validation
- Hands-on Playwright automation with chatbot testing
- Understand how real-world testers validate AI chatbot responses
- Designed to build practical knowledge of modern AI systems and testing strategies
- 🚀 A practical program designed for testers, engineers, and AI enthusiasts who want to understand and test modern AI chatbot systems
Salient Features:
- 30 Hours of Instructor-Led Live Training with real-time project demonstrations
- Lifetime Access to All Recorded Sessions for continuous learning and revision
- Industry-Recognized Course Completion Certificate upon successful completion
Who can enroll in this course?
- Students interested in learning Generative AI and modern AI technologies
- Software testers and QA engineers who want to explore AI concepts
- Developers interested in understanding Prompt Engineering and RAG systems
- Automation testers who want to learn AI-assisted testing with Playwright
- Tech professionals who want to understand how enterprise AI systems work
- Beginners who want a clear introduction to AI, LLMs, and Prompt Engineering
- Anyone curious about how AI tools like ChatGPT and enterprise AI systems work 🚀
Course syllabus:
WEEK 1 → AI, ML, DL, LLM Basics (Concept clarity)
- What is AI?
- Why AI is everywhere now
- Real life use cases
- Demo: ChatGPT, copilot, anthropic claude
- Machine Learning vs Deep Learning
- Supervised vs Unsupervised
- Why data matters
- Simple examples (spam, recommendation)
- What is NLP?
- How machines understand text
- Tokenization
- Word embeddings (simple explanation)
- What is LLM?
- GPT, LLaMA, Gemini
- How LLM works in simple way
- Training vs inference
- Why LLM makes mistakes
- Hallucination
- Bias
- Wrong answers
WEEK 2 → Prompt Engineering (Most important)
- What is Prompt Engineering
- Why prompts matter
- Good vs bad prompts
Hands-on.
- Types of prompts
- Zero-shot
- Few-shot
- Role prompting
Hands-on.
- Structured prompting
- Output control
- Format control
Hands-on.
- Chain of thought
- Step by step reasoning
- Examples.
- Guardrails
- Restrictions
- Safety prompts.
- Prompt testing
- Regression testing
- Prompt versioning.
WEEK 3 → RAG Concepts (Clear understanding only)
No deep coding. Just clarity.
- Why RAG
- LLM vs RAG
- Enterprise use cases.
- RAG architecture
- Flow:
- Document
- Chunk
- Embed
- Retrieve
- Generate.
- Chunking
- Why chunk size matters
- Overlap
- Context window.
- Embeddings
- Semantic search
- Similarity.
- Vector database (Ex: chorma db, FAISS, Pinecone )
- TopK
- Temperature
- Tokens
- Context
- Data quality in RAG
- Common issues.
- How RAG fails
- Real world failure examples
WEEK 4 → Enterprise RAG Demo with Live Testing
- Enterprise RAG Architecture Overview
- Document Ingestion
- API Key Setup
- Document Chunking Demonstration
- Embeddings Generation
- Vector Database & Semantic Retrieval
- Answer Generation with LLM
- Live Output Analysis & Testing
WEEK 5 → Playwright Automation & AI Chatbot Testing
- Introduction to Playwright
- Playwright Setup & First Automation Script
- Essential JavaScript for Testers
- Playwright Locators & Element Identification
- Handling Dynamic Elements & Wait Strategies
- Chatbot Automation Workflow
- Response Validation & Output Comparison
- End-to-End AI Chatbot Testing Project
About the Course:
The program then introduces the architecture behind modern AI knowledge systems through Retrieval-Augmented Generation (RAG architecture). Learners will understand how enterprise AI applications combine LLMs with internal knowledge sources to generate more accurate and context-aware responses.
Students will explore the complete Enterprise RAG workflow, including document ingestion, chunking strategies, embeddings generation, vector databases, semantic search, and response generation. The course explains how vector search retrieves relevant knowledge and how AI systems use that information to produce meaningful answers.
The training also focuses on LLM evaluation techniques, helping learners understand how AI responses are validated in real-world scenarios. Students will learn about hallucination testing, response validation, and how testers detect incorrect or unsupported answers generated by AI models.
To bring these concepts into practice, the course includes a real project with Enterprise RAG, where learners will observe a live demonstration of how enterprise AI systems process documents, create embeddings, store data in vector databases, retrieve relevant information, and generate responses using a RAG pipeline.
In the final stage of the program, learners will move into automation with AI and understand how AI-driven applications can be tested using automation tools. Students will be introduced to Playwright automation with chatbot testing, where they will learn Playwright fundamentals, UI automation concepts, locator strategies, and real-world chatbot testing workflows.
Participants will automate chatbot interactions, capture chatbot responses, store output text, and compare responses with expected results to understand how real-world chatbot testing is performed in enterprise environments.
By the end of this course, students will gain a strong conceptual understanding of Generative AI systems, RAG architecture, embeddings, vector databases, LLM evaluation techniques, hallucination testing, and Playwright automation with chatbot testing, enabling them to confidently understand and test modern AI-driven applications.
Frequently Asked Questions (FAQs) –AI Chatbot Testing, LLM Testing, Enterprise RAG & Playwright Automation
1. Do I need prior AI or programming experience to join this course?
No. This course starts with AI fundamentals, so beginners can easily understand the concepts.
2. What topics are covered in this course?
The course covers AI fundamentals, Prompt Engineering, Retrieval-Augmented Generation (RAG), vector databases, enterprise RAG architecture, and Playwright automation with AI.
3. Will there be hands-on demonstrations?
Yes. The course includes practical demonstrations such as prompt design, RAG workflow explanation, and a live enterprise RAG system demo.
4. What is Prompt Engineering and why is it important?
Prompt Engineering is the skill of designing effective prompts to get accurate results from AI models like LLMs. It is one of the most important skills in Generative AI.
5. What is RAG in AI?
RAG (Retrieval-Augmented Generation) is a method that allows AI models to retrieve information from external documents or databases to generate more accurate responses.
6. Will I learn about vector databases?
Yes. The course introduces vector databases and explains how embeddings and semantic search are used in AI systems.
7. Will this course cover automation with AI?
Yes. The course includes an introduction to Playwright automation and how AI can help generate test cases and selectors.
8. Is there a certificate after completing the course?
Yes. A course completion certificate will be provided after successfully finishing the training.
9. Who should take this course?
Students, testers, developers, and professionals interested in learning Generative AI, Prompt Engineering, and enterprise AI systems can enroll.
10. What will I gain after completing this course?
You will gain a strong understanding of Generative AI, Prompt Engineering techniques, RAG architecture, and how AI systems are used in real-world applications. 🚀
How can I enroll for this course?
OR
For any other details, Call me or Whatsapp me on +91-9133190573
Live Sessions Price:
For LIVE sessions – Offer price after discount is 200 USD 159 109 USD Or USD15000 INR 12000 INR 8900 Rupees.