QA to AI Bootcamp

Frequently Asked Questions

What is the QA to AI Bootcamp about?
This program trains QA professionals in AI-driven software testing, focusing on building end-to-end test automation solutions and custom low-code/no-code (LCNC) frameworks using AI principles. It prepares you for AI-enhanced QA roles.

Who is it for?
Designed for QA/Test Automation professionals, but open to beginners, including Manual QA testers. Complexity builds gradually, with extra practice recommended for those new to IT or coding.

What AI concepts and tools are covered?

  • Concepts: Large Language Models (LLMs), Generative AI, AI Agents, Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Explainable AI, and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
  • Tools: GPT-4, Grok, LLaMA, Claude, Gemini, DeepSeek, DALL·E 3, MidJourney, AutoGen, LangChain, Test.ai, Functionize, Mabl, Tosca, Playwright, Selenium, Foxyiz (custom AI testing framework), Jupyter, Pandas, NumPy, and more.

What programming language is taught?
Python. Beginners are guided to master it via ITeLearn’s free Python basics course.

Does it require prior coding or automation framework knowledge?
Prior coding (e.g., Python) or automation experience (e.g., Selenium, Tosca) is helpful but not required. Manual QA testers can learn, with Python and AI tool usage taught from basics. Practice is key for beginners.

How is AI incorporated with QA?
AI automates test case creation, bug reporting, and synthetic data generation using LLMs and GenAI. AI Agents like Foxyiz handle UI/API testing, while tools like Playwright with MCP test AI-driven apps, improving efficiency and coverage.

How long will these topics be relevant in real-time scenarios?
AI in QA, including LLMs, GenAI, and Agentic AI, is expected to remain relevant for 5-10+ years, evolving with industry needs. Python and AI testing skills are foundational for future QA roles.

What is the format and schedule?
Live, online weekend sessions over 2 weekends (Sat-Sun, 8-11 AM PT). Bootcamps run monthly with updated content. The next bootcamp is tentatively scheduled for June 7, 8, 14, 15, 2025; confirm dates at https://goitelearn.teachable.com/. Email [email protected] for advance notifications.

Can the session timing be changed from 8 AM PT?
Sessions are set at 8-11 AM PT for global accessibility.

What is the cost?
You can find the details here : https://goitelearn.teachable.com/p/membership

JPACT is included in both plans. Existing members attend live sessions free.

How do I register or pay?
Register via https://goitelearn.teachable.com/ (June 2025 bootcamp link to be shared closer to the date). Pay globally via e-commerce. Email [email protected] for registration updates or try a weekend session to decide.

What are the prerequisites?
QA/Test Automation experience is beneficial. Recommended: Python IDE (PyCharm), libraries (Pandas, NumPy), and LLM tool accounts (Gemini, Grok). Sessions include concept recaps.

What deliverables are provided?
A Certificate is awarded upon completing training, tests, and projects..

Can I work on live projects?
Yes, JPACT offers 2-3 real-time projects for your CV. The Foxyiz research project (AI testing agent) provides hands-on experience.

What is the Foxyiz research project?
Foxyiz is a Python-based LCNC AI testing framework. Participation offers practical experience, certification, and CV enhancement.

What are career growth guidelines in the AI age?

  • Learn AI Tools: Master LLMs, GenAI, and tools like Playwright and Mabl for competitive QA roles.
  • Master Python: Essential for AI agent development; start with ITeLearn’s free course.
  • Build Experience: Use JPACT or Foxyiz projects to gain practical skills.
  • Use JPACT: Access resume prep, interview coaching, and job placement support.
  • Stay Current: Repeat bootcamps and track trends like Agentic AI and AI governance.
  • Get Certified: Earn ITeLearn’s certificate to validate skills.
    AI Implementer and AI-driven QA Engineer roles are achievable within 3-12 months.

Is job placement or career support provided?
Yes, JPACT, included in 1-year Premium and Lifetime Memberships, provides job placement, resume prep, career counseling, and 2-3 real-time projects.

How long to master AI for QA?
3-12 months, depending on ability. Repeating 2+ batches (included in memberships) is recommended.

Are there in-class sessions?
No, all training is online.

Is AI hard for beginners?
AI roles range from developer to user. The program simplifies learning with gradual complexity, Python guidance, and hands-on projects. GenAI tools ease coding basics.

Have more questions?
Email [email protected].