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Generative AI & LLM Testing

Master AI-Powered Testing, LLM Evaluation & RAG Testing

Comprehensive program covering AI testing concepts, LLM evaluation with DeepEval, RAG testing with RAGAS, prompt engineering, AI agents, voice agents, and production-ready testing frameworks. Learn advanced testing techniques for AI-powered applications.

# AI Testing with DeepEval from deepeval import evaluate from deepeval.metrics import Faithfulness def test_llm_output(): metric = Faithfulness() result = evaluate( output="LLM Response", metric=metric ) assert result.score > 0.8
Training Benefits

Why Choose This Course?

Comprehensive AI testing training with industry best practices, hands-on projects, and expert guidance.

Access to Recorded Videos

Lifetime access to all recorded sessions for unlimited learning and review.

AI & ML Concepts

Deep dive into AI fundamentals, LLMs, prompt engineering, and practical applications.

Hands-On Projects

Real-world projects using DeepEval, RAGAS, and state-of-the-art AI testing tools.

Comprehensive Materials

Detailed study materials, code samples, and reference guides for all modules.

Resume Building

Professional guidance to showcase your AI testing expertise to employers.

Career Guidance

Expert mentorship to help you transition into AI testing and quality roles.

Course Details

Schedule & Course Information

Everything you need to know about the course timing, structure, and enrollment.

Start Date & Time

TBA

Duration

8-10 weeks
Weekly 5 sessions Monday-Friday

Trainer

Mr. Pavan

Learning Outcomes

What You Will Learn

Comprehensive skills and knowledge to become an expert in AI testing and LLM evaluation.

✓

Master LLM Testing Fundamentals

Understand how to test Large Language Models and AI systems.

✓

Use DeepEval for LLM Evaluation

Create automated test cases and evaluators with DeepEval framework.

✓

Test RAG Applications with RAGAS

Validate retrieval-augmented generation systems effectively.

✓

Master Prompt Engineering

Develop effective prompts and validate LLM responses.

✓

Test AI Agents & Voice Assistants

Validate agentic workflows and voice-based AI systems.

✓

Implement Regression & Safety Testing

Detect model drift and bias with comprehensive testing strategies.

Learning Path

Complete Curriculum

9 comprehensive modules covering AI testing, LLMs, DeepEval, RAGAS, and advanced evaluation frameworks.

Module 1: Introduction to AI and Large Language Models

  • What is Artificial Intelligence?
  • AI vs ML vs Deep Learning vs Generative AI
  • Introduction to NLP
  • What are Large Language Models?
  • How LLMs work (high level)
  • Tokens, embeddings, context window
  • Prompt → Model → Response flow
  • Popular models overview: GPT, Claude, Llama, Gemini
  • Real-world LLM applications
  • Traditional software vs AI systems

Module 2: Python for AI Testing & Automation

  • Python installation and setup
  • Virtual environments
  • Variables and data types
  • Functions and modules
  • Lists, dictionaries, JSON
  • File handling
  • Exception handling
  • Logging and debugging
  • API testing using Python
  • .env and secrets handling
  • Intro to pytest
  • Writing reusable test utilities
  • Test data preparation
  • Automation framework structure
  • Batch execution scripts
  • Reporting basics

Module 3: Fundamentals of AI Testing

  • Traditional testing vs AI testing
  • Deterministic vs probabilistic outputs
  • Unique testing challenges
  • Hallucination
  • Bias and fairness
  • Toxicity testing
  • Prompt sensitivity
  • Regression risks
  • Model drift
  • Privacy and compliance basics

Module 4: LLM Testing with DeepEval

  • Introduction to DeepEval
  • Test cases
  • Evaluators
  • LLM-as-a-judge
  • Rule-based evaluation
  • Golden datasets
  • Automated validation workflows
  • Metrics: relevancy, faithfulness, correctness
  • Hallucination, toxicity, bias, latency metrics

Module 5: RAG Testing using RAGAS

  • What is RAG?
  • Retriever + generator flow
  • Chunking validation
  • Embedding quality
  • Vector database validation
  • Groundedness testing
  • Retrieval correctness
  • Metrics: faithfulness, context precision
  • Context recall and answer relevancy

Module 6: Agentic RAG Testing

  • Multi-step retrieval
  • Planner + executor flows
  • Tool validation
  • Memory testing
  • Multi-hop reasoning validation
  • Failure path testing

Module 7: AI Agents Testing with DeepEval

  • Function/tool calling validation
  • Multi-step agent workflows
  • Memory and context validation
  • Tool selection correctness
  • Intermediate reasoning validation
  • Response consistency checks
  • Agent failure and fallback testing
  • Task completion metrics
  • Tool correctness and argument validation
  • Turn relevancy and conversation completeness

Module 8: Promptfoo for Prompt & Regression Testing

  • YAML-based assertions
  • Output validation
  • Multi-model comparison
  • Regression testing
  • Safety prompt checks

Module 9: Voice Agent Testing

  • Speech-to-text testing
  • LLM response validation
  • Text-to-speech testing
  • Intent accuracy
  • Latency testing
  • Interruption and fallback testing
FAQ

Frequently Asked Questions

Get answers to common questions about our training programs.

Udemy Course: Self-paced recorded videos, flexible timing, limited interaction, and suitable for independent learning at a low cost.
Live Online Training: Real-time instructor-led sessions, direct doubt clarification, structured learning, guided hands-on practice, mentorship, and career support. If you’re looking for flexibility, Udemy works well. If you prefer guided learning with support and faster progress, live training is the better option.

We do not conduct live demo sessions in order to maintain small, focused batches. However, you can explore sample class recordings to understand our teaching approach, session structure, and level of interaction. Additional videos are available on our YouTube channel (SDET-QA).

You don't have to worry about missing any class. You will receive daily session recordings via Google Drive.

Yes, absolutely. This program is designed for beginners. Students are guided step-by-step, starting from the fundamentals and gradually moving to advanced topics.

Currently, placement assistance is not offered.

The course fee is fixed and non-negotiable to ensure fairness and maintain training quality.

Yes. Every session is recorded and shared on the same day for your reference and revision.

Yes, this course is highly suitable for freshers who want to build a strong foundation and start a career in automation testing.

Yes, definitely. This training is specifically designed to help manual testers transition into automation roles with confidence.

With proper understanding and consistent practice, you will gain the confidence and practical knowledge required to present yourself effectively in automation roles.

Yes. The course covers core concepts, real-time scenarios, and interview-focused topics, helping you prepare for automation interviews.

This is a live, instructor-led training program with: Real-time explanations, Hands-on coding sessions, End-to-end framework development, Interactive doubt clarification. Unlike recorded courses, this program focuses on practical, industry-level learning.

Yes. You will receive daily assignments and practice tasks to reinforce your learning.

Yes. The course is designed to help you improve logical thinking, coding skills, and best practices, enabling you to write clean and efficient code.

The training is completely hands-on. Concepts are explained through real-time examples and live coding sessions, ensuring practical understanding.

No, certification is not provided as part of this training.

To attend the training, you will need: A desktop or laptop, Stable high-speed internet connection, A web browser, A microphone (recommended for interaction during live sessions).