AI & LLM Testing Masterclass : Agent Evaluation with Hands-On Projects- Live Training
(Python Foundations, AI & LLM Concepts, AI Testing Fundamentals, LLM Validation Techniques, DeepEval & RAGAS Evaluation, and Automation Framework Design)
This comprehensive program is designed to help professionals master the testing of modern AI systems, Large Language Models (LLMs), and intelligent agents. It begins with a strong foundation in AI concepts, including Machine Learning, Deep Learning, Generative AI, and NLP, along with a clear understanding of how LLMs work—covering tokens, embeddings, context handling, and the complete prompt-to-response lifecycle. Participants also gain exposure to popular models like GPT, Claude, Llama, and Gemini, along with real-world applications and key differences between traditional and AI-driven systems.
The course includes a hands-on Python module focused on automation and AI testing, where learners build strong programming skills, perform API testing, handle test data, and design reusable automation frameworks. It then dives into AI testing fundamentals such as handling non-deterministic outputs, hallucination, bias, toxicity, prompt sensitivity, and model drift. Participants will gain practical experience in validating AI systems using tools like DeepEval and RAGAS, applying key evaluation metrics such as relevancy, faithfulness, correctness, and context precision to ensure reliable and accurate model performance.
Advanced modules cover RAG testing, agentic workflows, and AI agent validation, including multi-step reasoning, tool usage, memory handling, and failure scenario testing. The program also introduces Promptfoo for prompt validation and regression testing, along with Voice Agent Testing covering speech-to-text accuracy, response validation, text-to-speech, and latency checks. With real-time projects and hands-on exercises throughout, this training equips learners with end-to-end skills in AI testing and LLM validation, making them job-ready for next-generation QA and AI roles.
About The Instructor:
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Takshin Varma – AI & Automation Testing Expert Takshin Varma is an experienced AI-driven testing and automation professional with 8 years of industry experience in modern QA engineering. He specializes in AI and LLM testing, Python-based automation, prompt engineering, bias and fairness validation, and CI/CD-integrated test frameworks. With strong exposure to tools and practices aligned to real-world enterprise systems, Takshin brings practical insight into validating intelligent and generative AI applications. As a trainer, Takshin has over 3 years of teaching experience and has successfully trained 200+ students across QA, automation, and AI testing domains. His teaching style is simple, structured, and hands-on, focusing on real-time use cases and project-based learning. He is committed to helping learners gain job-ready skills and confidently transition into AI-enabled testing roles. |
AI & LLM Testing Masterclass : Agent Evaluation with Hands-On Projects- Live Training – Demo Recording
AI & LLM Testing Masterclass : Agent Evaluation with Hands-On Projects- 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:
Indian Timings: 29th April @ 8:30 PM – 9:30 PM (IST)/
U.S Timings: 29th April @ 11 AM – 12 PM (EST)/
U.K Timings: 29th April @ 4 PM – 5 PM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 8:30 PM – 9:30 PM (IST)
For Participants in the US: Monday to Friday @ 11 AM – 12 PM (EST)
For Participants in the UK: Monday to Friday @ 4 PM – 5 PM (BST)
Trainer Leave Notice:
Please note that the trainer has pre-planned leave on the following dates:
- 8th May to 16th May
What student’s have to say about Trainer :
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The training was very practical and easy to understand. Concepts like LLM testing, RAG validation, and AI evaluation metrics were explained with real-time examples, which helped me apply them in my project work. – Neha I gained strong confidence in testing LLMs and building end-to-end validation pipelines. Highly recommended for QA professionals – Deepak I really liked the way Python and AI testing concepts were connected. DeepEval, RAGAS, and Promptfoo sessions were very useful for understanding real industry workflows. – Priya The training provided deep insights into AI testing, LLM validation, and automation frameworks. The hands-on projects and real-time examples made it easy to understand complex concepts like RAG and agent workflows. I now feel confident applying these skills in my job. – Maria Excellent hands-on sessions on automation frameworks and AI testing strategies. – Philip This course is very well-structured and practical. The trainer explained topics like prompt engineering, evaluation metrics, and CI/CD integration in a simple way. The real-world case studies helped me gain job-ready skills in AI testing and automation. – Karthik |
What will I Learn by end of this course?
- Master AI & LLM Fundamentals – Understand AI, Machine Learning, Deep Learning, NLP, and Large Language Models (LLMs)
- Understand How LLMs Work – Learn tokens, embeddings, context windows, and prompt-response flow
- Build Python Skills – Develop strong foundations for AI testing and automation
- Create Automation Frameworks – Design and build scalable testing frameworks
- Learn AI Testing Strategies – Differentiate between traditional and AI testing approaches
- Handle AI Challenges – Tackle hallucination, bias, toxicity, and model drift
- Perform LLM Validation – Use DeepEval and implement LLM-as-a-judge techniques
- Apply Evaluation Metrics – Measure relevancy, faithfulness, correctness, and latency
- Test RAG Systems – Validate Retrieval-Augmented Generation using RAGAS
- Ensure Retrieval Quality – Check embeddings, grounding, and response accuracy
- Test AI Agents – Validate multi-step workflows, tools, and memory handling
- Prompt & Regression Testing – Use Promptfoo for validation and comparison
- Voice AI Testing – Validate speech-to-text and text-to-speech systems
- CI/CD Integration – Automate AI testing pipelines
- Red Teaming & Safety – Perform security and safety testing for AI systems
- Hands-On Projects – Work on real-world case studies and scenarios
- Become Job-Ready – Build end-to-end AI testing solutions for real-world roles
Salient Features:
- 40+ Hours of Live Training along with recorded videos
- Lifetime access to all recorded sessions
- Course Completion Certificate provided
Who can enroll in this course?
- QA Engineers & Software Testers – Transition into AI Testing & LLM Validation with hands-on agent evaluation skills
- Automation Testers & SDETs – Upgrade with Python, automation frameworks, and advanced LLM testing techniques
- Developers & Software Engineers – Build and test AI-powered applications, including RAG systems and intelligent agents
- AI/ML Engineers – Learn structured testing, evaluation metrics, and validation strategies for LLMs and workflows
- Data Engineers & Analysts – Ensure data quality, retrieval accuracy, and model performance in AI systems
- Freshers / Beginners – Start a career in AI Testing with basic Python knowledge and guided hands-on projects
- Career Switchers – Move into roles like AI Tester, Prompt Engineer, or LLM Validation Engineer
- Tech Enthusiasts – Master end-to-end AI testing using DeepEval, RAGAS, Promptfoo, voice agents, CI/CD, and real-world case studies
Course syllabus:
Module 1: Introduction to AI and Large Language Models (3 Hours)
- 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 (7 Hours)
- 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 (3 Hours)
- 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 (5 Hours)
- 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
Module 5: RAG Testing using RAGAS (5 Hours)
- What is RAG?
- Retriever + generator flow
- Chunking validation
- Embedding quality
- Vector database validation
- Groundedness testing
- Retrieval correctness
- Metrics: faithfulness, context precision, context recall, answer relevancy
Module 6: Agentic RAG Testing (5 Hours)
- Multi-step retrieval
- Planner + executor flows
- Tool validation
- Memory testing
- Multi-hop reasoning validation
- Failure path testing
Module 7: AI Agents Testing with DeepEval (5 Hours)
- 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
- DeepEval metrics:
- task completion
- tool correctness
- argument correctness
- turn relevancy
- conversation completeness
Module 8: Promptfoo for Prompt & Regression Testing (3 Hours)
- YAML-based assertions
- Output validation
- Multi-model comparison
- Regression testing
- Safety prompt checks
Module 9: Voice Agent Testing (4 Hours)
- Speech-to-text testing
- LLM response validation
- Text-to-speech testing
- Intent accuracy
- Latency testing
- Interruption and fallback testing
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.