Previous bootcamp's : 

"Bootcamp-1 : Build a Py AI Agent for S/W Testing"

"Bootcamp-2 : AI powered end2end test automation"

Course Contents for Bootcamp 3 :

1. QA to AI Bootcamp 1 recap

AI in software testing, SaaS QE tools

Prompt engineering, LLM, GenAI, AI Agents

AI assistance for coding, testing, automation

LCNC Py Agent for Test Automation. Foxyiz.

2. Advanced AI Concepts

Notebook LM, , MCP, Langchain, Jupyter, PydanticAI

RAG, VectorDB, Local LLM Agents, Ollama, LlamaIndex

Multimodal AI, Explainable AI, AI Governance

ML PyTorch, TensorFlow, Scikit-learn

3. E2E test automation using AI

Test Strategy, Plan, Test Case/Data generation 

Automate test scripts, SCM, CI/CD pipelines

Execution, defect analysis, self-healing, handling flaky tests.

RCA, Predictive Analytics & Optimization, Test Impact Analysis

AI driven UI/API testing. Playwright/MCP and Foxyiz

4. Career in AI for QA engineers

New expectations, upgrading skills, updating your profile

Participate and get certified in research and implementation projects

Choosing the right career path - AI Tester, AI SDET, AI QE Architect