AI-Powered Course Available

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

Flexible Plans

Pricing & Payment Options

Affordable pricing with flexible payment options for learners worldwide.

International

USA, UK, AUS, Europe, UAE

$300

8-10 week program

PayPal Payment

India

Indian Students

₹16,999