Are you new to PHP or need a refresher? Then this course will help you get all the fundamentals of Procedural PHP, Object Oriented PHP, MYSQLi and ending the course by building a CMS system similar to WordPress, Joomla or Drupal.
Knowing PHP has allowed me to make enough money to stay home and make courses like this one for students all over the world. Being a PHP developer can allow anyone to make really good money online and offline, developing dynamic applications.
Knowing PHP will allow you to build web applications, websites or Content Management systems, like WordPress, Facebook, Twitter or even Google.
There is no limit to what you can do with this knowledge. PHP is one of the most important web programming languages to learn, and knowing it, will give you SUPER POWERS in the web development world and job market place.
Why?
Because Millions of websites and applications (the majority) use PHP. You can find a job anywhere or even work on your own, online and in places like freelancer or Odesk. You can definitely make a substantial income once you learn it.
I will not bore you 🙂
I take my courses very seriously but at the same time I try to make it fun since I know how difficult learning from an instructor with a monotone voice or boring attitude is. This course is fun, and when you need some energy to keep going, you will get it from me.
My Approach
Practice, practice and more practice. Every section inside this course has a practice lecture at the end, reinforcing everything with went over in the lectures. I also created a small application the you will be able to download to help you practice PHP. To top it off, we will build and awesome CMS like WordPress, Joomla or Drupal.
Pre-Requisites To Learn AI & Gen AI Testing
No strict prerequisites, but the following help:
Basic QA/testing knowledge
Fundamentals of software development lifecycle
Interest in AI, ML, and automation
Basic mathematics (statistics, probability)
Optional: Python basics (not mandatory)
The program is beginner-friendly as modules start from Introduction to QA Engineering.
Learning Outcomes
After completing this AI & GenAI Testing training, learners will:
Understand how ML models work and how to test them
Perform testing for ML regression models, classifiers & deep learning networks
Validate datasets, accuracy, loss values, and ML metrics
Test Generative AI outputs (text, images, responses)
Identify bias, fairness issues, hallucinations & inconsistencies in GenAI systems
Use TestRigor for AI-based automation testing
Test conversational systems like ChatGPT, Bard, Copilot, etc.
Implement AI QA strategies for real-time enterprise projects
Write professional AI QA test cases and review ML/GenAI outputs
Apply advanced QA methodologies tailored for AI products
Who Can Learn This Course?
This course is ideal for:
Manual testers and automation testers
QA engineers (beginner to expert level)
Software Test Engineers
Test Automation Engineers
Developers switching to AI QA
Data Analysts & Data Engineers aiming for QA roles
Students and freshers aspiring to enter AI testing job roles
Career Opportunities After AI & Gen AI Testing Training
With rapid adoption of AI systems globally, companies are hiring skilled AI QA Engineers to validate smart applications. After completing this course, you can apply for:
AI Tester
AI QA Engineer
GenAI QA Specialist
Machine Learning Tester
Deep Learning QA Engineer
NLP Tester
Test Automation Engineer (AI-driven tools)
AI Quality Analyst
AI Model Validation Engineer
Top industries hiring: IT, Finance, Healthcare, EdTech, Automotive, E-Commerce, SaaS & Enterprise AI companies.
Top Career Roles After Completing This Course
AI & GenAI Test Engineer
Machine Learning QA Analyst
Automation Engineer – AI Tools (TestRigor)
AI Product Quality Engineer
Data Validation QA Engineer
GenAI Automation Engineer
AI QA Consultant
Conversational AI Tester
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