AI Testing Interview Kits, launching Sunday 11 Oct

Concepts + in-depth explanation. No coding needed.

• Starts from zero: AI, ML, LLMs, tokens, prompts, temperature and why AI makes things up.
• How AI products are built: embeddings, RAG, agents and MCP, in plain words.
• Using AI in your testing work: test cases from a user story, test data, bug reports and test plans.
• Testing AI features: golden sets, checking answers against sources, AI judges and chatbots.
• Safety, bias, speed and cost, then a clear path from manual testing into an AI testing role.
• A one-page Learn block with pictures for every concept, a quiz after every section and a 12 question Final Mock.

Launch price ₹599

For people who know the basics. Concept, interview strategy and code for every question.

• AI and LLM fundamentals, prompt engineering, AI test tools, agents and MCP.
• ML metrics, LLM evaluation, RAG testing, chatbots and agent workflows.
• AI safety and security, robustness and performance, test strategy and behavioural questions.
• Every answer in three parts: the concept, how to say it out loud in the interview, and a short code or prompt example.
• Real eval tools shown in action: DeepEval, promptfoo, Ragas, LangSmith and Braintrust.
• Each question marked Junior, Mid or Senior, a quiz after every section and a Final Mock Quiz.

Launch price ₹499

Problem, approach, solution, output and walkthrough for every program.

• 100 Python programs an AI testing interview can ask you to write in a live editor.
• Test harness basics, checking LLM output, text similarity and model metrics from scratch.
• Eval harnesses and LLM-as-judge, RAG pipeline testing, safety and bias tests.
• Chatbots and tool calling, plus AI for QA helpers like healing a broken locator and sorting flaky tests.
• Standard library only, and every output shown was produced by actually running the program.
• Ends with a timed 20 prompt Final Self-Assessment.

Launch price ₹599