Why This Course

Program Objectives

Designed to transform absolute beginners and experienced testers alike into AI-powered professionals who build, automate, and get hired.

Career Transformation

Move into AI-aware automation & engineering roles with stronger interview confidence and a standout profile.

Practical, Hands-On Skills

Real experience with GPT, Claude, Gemini & DeepSeek, plus Selenium and Playwright automation from day one.

Industry Tools & AI Agents

Master prompt engineering, API integration, fine-tuning and agent frameworks like LangChain & LlamaIndex.

Get Hired Faster

Build an AI-optimized resume and a LinkedIn job-application playbook to land the right role quickly.

No Prerequisites

Built for Everyone

Whether you've never written a line of code or you've shipped software for a decade — this program meets you where you are.

Complete Beginners

No coding, no AI background needed. We start from the absolute fundamentals and build up step by step.

QA & Manual Testers

Upgrade from manual or scripted testing to AI-driven automation and intelligent agent workflows.

Experienced Engineers

Add fine-tuning, prompt engineering and AI agents to your toolkit and stay ahead of the curve.

Career Switchers

Coming from a non-technical field? Build a portfolio and resume that gets you into AI-aware roles.

Working Professionals

Just 1 hour a day. Designed to fit around a full-time job, with bite-sized daily sessions.

Students & Graduates

Graduate job-ready with real AI projects and a clear path to your first role in the industry.

Any background. Any experience level. One outcome — an AI-powered career.

Live Sessions

Free Demo & Class Schedule

Join us live — pick the timing that works best for your timezone.

🎯 Free Demo Class

🇮🇳

India — 15th June

9:00 PM – 10:00 PM

IST

🇺🇸

United States — 15th June

11:30 AM – 12:30 PM

EST

🇬🇧

United Kingdom — 15th June

4:30 PM – 5:30 PM

BST

📅 Class Schedule

🇮🇳

For Participants in India

Mon – Fri | 9:00 PM – 10:00 PM

IST

🇺🇸

For Participants in the US

Mon – Fri | 11:30 AM – 12:30 PM

EST

🇬🇧

For Participants in the UK

Mon – Fri | 4:30 PM – 5:30 PM

BST

The Roadmap

4-Week Mastery Journey

A progressive, week-by-week path from AI fundamentals to building production-ready AI agents and getting hired.

Week 1

GenAI & LLM Fundamentals

(Understanding AI, ML, and Generative Models)

Topics Covered

›Introduction to AI, ML, and Deep Learning concepts
›What is Generative AI and its evolution
›Deep dive into GPT, Claude, DeepSeek, and Llama
›Applications of Generative AI in Software Testing

Hands-On Project

Initial interaction with multiple LLMs and exploring basic functionalities across providers.

Week 2

LLM Mechanics & Architecture

(Transformers, Attention Mechanisms, and Training)

Topics Covered

›How LLMs work: transformers and attention mechanisms
›Language model training: pre-training vs fine-tuning
›Data requirements and preprocessing
›Ethical use of LLMs in testing and bias considerations

Hands-On Project

Hands-on environment setup and LLM exploration with local & cloud models.

Week 3

Prompt Engineering Mastery

(ICED-TO Framework and Effective Prompt Creation)

Topics Covered

›Introduction to prompt engineering principles
›Techniques for effective prompt creation
›Understanding context and intent in prompts
›Crafting prompts for testing scenarios

Hands-On Project

Creating prompts for test data and test case generation using the ICED-TO framework.

Week 4

AI Agents, Automation & Supervised Fine-Tuning

(Agent Building, Script Generation & Career Launch)

Topics Covered

›Generating Selenium & Playwright scripts using LLMs
›Building AI agents and automating test creation workflows
›Supervised fine-tuning & integrating LLM outputs into frameworks
›Resume preparation & applying to jobs on LinkedIn

Hands-On Project

Real-time test script generation, agent building, and a complete job-ready portfolio.

1 Hour a Day

Day-by-Day Curriculum

Five focused weekday sessions per week — just one hour each. Bite-sized, hands-on, and designed to fit around a full-time job.

Mon · Day 1

Welcome to AI

⏱ 1 hr

✓Introduction to AI & Machine Learning
✓Types of ML: Supervised, Unsupervised, Deep Learning
✓Datasets, parameters, labels & the 80-20 rule
✓Explore 4 providers: Gemini, GPT, Claude, Llama

Outcome: Understand what AI/ML is and try your first models.

Tue · Day 2

Inside an LLM

⏱ 1 hr

✓What is an LLM: parameters, layers & accuracy
✓Public vs Private LLMs & local deployment with Ollama
✓Hallucinations & challenges in Gen AI
✓Rate limits, context windows & aggregators

Outcome: Know how LLMs are built and where they run.

Wed · Day 3

Generative AI in Action

⏱ 1 hr

✓How Gen AI generates text, images & video
✓Deep dive into GPT, Claude, DeepSeek & Llama
✓CPU vs GPU — why hardware matters
✓Comparing models on a model arena

Outcome: Generate your first AI content across providers.

Thu · Day 4

Gen AI for Testing

⏱ 1 hr

✓Applications of Gen AI in software testing
✓Case studies: ML & DL in the real world
✓Linear regression vs classification, simply explained
✓Collaborative vs content-based filtering

Outcome: See how AI applies directly to QA work.

Fri · Day 5

First LLM Workshop

⏱ 1 hr

✓Guided exploration of GPT, Claude & Gemini
✓Choosing the right model for the right task
✓Week 1 recap & knowledge check
✓Q&A and prep for LLM internals

Outcome: Confidently navigate any major LLM chat agent.

Mon · Day 1

LLM Anatomy

⏱ 1 hr

✓Input processing: prompt → tokens → embeddings
✓Vector embeddings & numerical representation
✓Semantic search & meaningful matching
✓Tokenizers & counting tokens hands-on

Outcome: Understand how text becomes numbers a model reads.

Tue · Day 2

Transformers & Attention

⏱ 1 hr

✓The transformer architecture explained simply
✓Self-attention: how context disambiguates words
✓Feed-forward networks & layers
✓Why more layers means more accuracy

Outcome: Grasp the engine that powers every modern LLM.

Wed · Day 3

Training Process

⏱ 1 hr

✓Pre-training: collecting & learning from data
✓Pre-training vs fine-tuning explained
✓Data requirements & preprocessing
✓Temperature & controlling output randomness

Outcome: Know how a model is trained and tuned.

Thu · Day 4

Environment Setup

⏱ 1 hr

✓Setting up your local & cloud LLM workspace
✓Running models locally with Ollama
✓Connecting to cloud providers safely
✓Moderation & guardrails with Llama Guard

Outcome: A working AI development environment.

Fri · Day 5

Ethics & Bias

⏱ 1 hr

✓Ethical use of LLMs in testing
✓Recognising & reducing bias
✓Responsible AI practices
✓Week 2 recap & hands-on exploration

Outcome: Use LLMs responsibly and explain how they work.

Mon · Day 1

Prompting Principles

⏱ 1 hr

✓Introduction to prompt engineering principles
✓Why prompts make or break AI output
✓Anatomy of a great prompt
✓Common mistakes & how to avoid them

Outcome: Write clear, reliable prompts from scratch.

Tue · Day 2

The ICED-TO Framework

⏱ 1 hr

✓The ICED-TO framework, step by step
✓Techniques for effective prompt creation
✓Building reusable prompt templates
✓Consistent AI outputs for testing

Outcome: Apply a proven framework to any prompt.

Wed · Day 3

Context & Intent

⏱ 1 hr

✓Understanding context and intent in prompts
✓Few-shot & role-based prompting
✓Guiding tone, format & structure
✓Iterating and refining prompts

Outcome: Steer AI to exactly the output you need.

Thu · Day 4

Prompts for Testing

⏱ 1 hr

✓Crafting prompts for testing scenarios
✓Generating test data with AI
✓Test case generation prompts
✓Bug report & documentation prompts

Outcome: Generate test data & cases on demand.

Fri · Day 5

Prompt Workshop

⏱ 1 hr

✓Live prompt-building challenge
✓Peer review & prompt improvement
✓Building your personal prompt library
✓Week 3 recap & prep for automation

Outcome: A reusable library of testing prompts.

Mon · Day 1

Fine-Tuning Basics

⏱ 1 hr

✓What fine-tuning is & when to use it
✓Supervised fine-tuning with labelled data
✓Preparing a JSONL training dataset
✓Base model vs fine-tuned model

Outcome: Build a dataset & understand fine-tuning.

Tue · Day 2

Hyperparameters & Tuning

⏱ 1 hr

✓Epochs: how many times the model sees data
✓Learning rate multiplier explained
✓Static fine-tuning vs dynamic RAG
✓Running & validating a fine-tune job

Outcome: Tune a model and read its results.

Wed · Day 3

Selenium & Playwright with AI

⏱ 1 hr

✓Generating Selenium scripts using LLMs
✓Generating Playwright scripts using LLMs
✓Automating test script creation workflows
✓Integrating LLM outputs into frameworks

Outcome: Auto-generate working automation scripts.

Thu · Day 4

Building AI Agents

⏱ 1 hr

✓What AI agents are & how they work
✓Agent frameworks: LangChain & LlamaIndex
✓Capstone kickoff: inspect-and-generate agent
✓Test scenario generation for retail banking

Outcome: Start building your own AI agent.

Fri · Day 5

Resume & LinkedIn Launch

⏱ 1 hr

✓AI-optimized resume preparation
✓Building a standout LinkedIn profile
✓Applying to jobs on LinkedIn — a clear playbook
✓Final capstone presentation & next steps

Outcome: A job-ready resume & an application strategy.

Skill Map

7 Learning Nodes

A progressive learning path from AI fundamentals to building, automating, and getting hired.

GenAI Introduction

Explore the basics of Artificial Intelligence, Machine Learning, and Generative AI applications.

Understanding AI, ML fundamentals

AI ConceptsML BasicsGenAI Overview

LLM Deep Dive

Interactive sessions with leading language models and understanding their capabilities.

Hands-on with GPT, Claude, Gemini

GPTClaudeGeminiDeepSeek

Prompt Engineering

Learn effective prompt design patterns and create consistent AI outputs for testing.

Master ICED-TO framework

ICED-TO FrameworkPrompt DesignTesting Scenarios

API Integration

Hands-on experience with API authentication, rate limits, and error handling.

OpenAI / Groq API mastery

OpenAI APIGroq APIPostmanAuthentication

QA Use Cases

Create prompts for test case generation, bug reports, and testing scenario development.

AI-powered test case generation

Test Case GenerationBug ReportsTesting Scenarios

Test Automation & AI Agents

Generate and refine automation scripts and build AI agents for real-world testing.

Selenium & Playwright via LLMs

SeleniumPlaywrightAI AgentsLLM Integration

Career Launchpad

Turn your new skills into a job. Build an AI-optimized resume, a standout LinkedIn presence, and a clear strategy for applying to roles.

Resume + LinkedIn job applications

Resume BuildingLinkedIn StrategyPortfolioInterview Prep

Build Something Real

Two Capstone Projects

You won't just learn theory — you'll ship two portfolio-worthy AI projects you can demo in interviews.

◆ Capstone 01

The Universal Inspect-&-Generate AI Agent

A Chrome extension powered by an AI agent that inspects any web page and generates ready-to-run automation code for whatever framework you need.

★Inspect any element on any live web page
★Generate code for Selenium, Playwright, or Cypress
★Framework-agnostic — it adapts to what matters to you
★Powered by an LLM-driven AI agent under the hood

Chrome ExtensionAI AgentSeleniumPlaywrightCypress

◆ Capstone 02

Jira Integration & Test Case Generation AI Agent

An AI agent that connects to Jira, reads user stories and requirements, and automatically generates structured test cases — closing the loop between planning and testing.

★Connect directly to Jira issues & user stories
★Auto-generate complete, structured test cases
★Push generated cases back into your workflow
★An end-to-end agentic testing pipeline

Jira APIAI AgentTest Case GenAutomation

What You Walk Away With

By the End, You'll Have

Real AI Fluency

From ML basics to fine-tuning and agents — explained simply, applied practically.

2 Live AI Agents

A Chrome inspect-and-generate agent and a Jira test-case generation agent.

A Job-Ready Resume

An AI-optimized resume plus a proven LinkedIn application playbook.

A Standout Portfolio

Demo-ready projects and skills that set you apart in any interview.

Meet Your Trainer

Learn from an Industry Expert

Guided by a practitioner who lives and breathes AI, automation, and quality engineering every day.

A

Abi

AI/LLM Test Engineer & Automation Expert

Generative AI Selenium Playwright AI Agents API Automation

300+

Professionals Trained

3×

Delivery Formats

Abi is an AI/LLM Test Engineer and Automation Testing expert with extensive experience in Generative AI, AI-powered testing, Selenium, Playwright, API Automation, and AI Agent Development. She is passionate about helping QA professionals and software engineers upskill in emerging AI technologies and modern automation practices, enabling them to stay ahead in the rapidly evolving technology landscape.

          Training Track Record
          Trained 300+ professionals through instructor-led programs
Personalised one-on-one mentoring sessions for individual growth
Corporate training engagements for teams adopting AI and advanced automation

        

Her training approach focuses on practical implementation, real-world use cases, hands-on exercises, and industry best practices, ensuring participants gain job-ready skills that can be applied immediately in their projects and careers.

As the trainer for the Generative AI for Manual & Automation Testers: Selenium, Playwright & AI Agent Development program, Abi combines her expertise in AI, automation, and quality engineering to provide a comprehensive learning experience. Her mission is to help testers and QA professionals confidently transition into the AI era by mastering Generative AI concepts, AI agents, modern automation frameworks, and intelligent testing strategies that are increasingly in demand across the industry.

Enroll Now

Your AI-Powered Career Starts Here

Four weeks. One hour a day. No prerequisites. Walk away with real AI skills, two shipped agents, and a resume that gets you hired.

Indian Rupees

₹7,900

One-time · All inclusive

/

US Dollars

$99

One-time · All inclusive

WhatsApp to Enroll 📞 Call to Enroll

📋 Enroll Now & Transform Your Career →

Questions? Call or WhatsApp Kumar Gupta | +91-9133190573 / +91-8977922427