AI Quality Engineering Syllabus
COMPLETE COURSE CURRICULUM

AI Quality Engineering Syllabus

Master AI Testing, AI Agents, LLMs, MCP, RAG, Prompt Engineering and Production AI Engineering through hands-on projects built specifically for QA Professionals.

13

Core Modules

4

Bonus Modules

50+

Hands-on Labs

1

Capstone Project

Training Roadmap

MODULE 01

Introduction to AI for QA

AI Foundations

  • AI Fundamentals
  • Why AI is Changing Software Testing
  • Future of QA
  • AI vs Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models
  • AI Terminology Every QA Should Know
  • AI Testing Landscape
  • AI Use Cases in Software Testing

LLM Concepts & Hands-on

  • Tokens
  • Context Window
  • Temperature
  • Embeddings
  • Vector Databases
  • Hallucinations
  • Fine Tuning
  • Function Calling
  • Structured Output
  • ChatGPT
  • Claude
  • Gemini
  • Perplexity
MODULE 02

Python for AI Test Engineers

Python Essentials

  • Variables
  • Data Types
  • Operators
  • Strings
  • Lists
  • Tuples
  • Sets
  • Dictionaries
  • Conditions
  • Loops
  • Functions
  • Modules
  • Packages

Practical Development

  • Object-Oriented Programming
  • Classes & Objects
  • Inheritance
  • Exception Handling
  • File Handling
  • JSON
  • API Requests
  • Virtual Environment
  • pip & Requirements.txt
  • Read BRDs
  • Read JSON Files
  • Call APIs
  • Process Test Data
MODULE 03

Prompt Engineering for QA

Prompt Engineering Fundamentals

  • Prompt Engineering Basics
  • Prompt Anatomy
  • System Prompt
  • User Prompt
  • Few Shot Prompting
  • Chain of Thought
  • Role Prompting
  • Prompt Chaining
  • Self Reflection

QA Use Cases

  • Requirement Analysis
  • Test Scenario Generation
  • Test Case Generation
  • Boundary Value Analysis
  • Decision Tables
  • API Documentation
  • SQL Query Generation
  • Bug Investigation
  • Root Cause Analysis
  • Risk Analysis
MODULE 04

Working with LLM APIs

AI Models

  • OpenAI
  • Gemini
  • Claude
  • Azure OpenAI
  • Ollama

API Concepts

  • API Authentication
  • Chat Completion
  • Streaming Responses
  • Structured Output
  • JSON Mode
  • Vision Models
  • Function Calling
  • Cost Optimization
  • Token Usage
  • Rate Limits
MODULE 05

AI Assisted Development & Test Automation

AI Coding Tools

  • GitHub Copilot
  • Cursor
  • Claude Code
  • Windsurf
  • Gemini CLI

Practical Applications

  • AI Pair Programming
  • AI Code Review
  • AI Debugging
  • AI Refactoring
  • Test Script Generation
  • Playwright Automation
  • Selenium Automation
  • REST API Testing
MODULE 06

Model Context Protocol (MCP)

MCP Fundamentals

  • Understanding MCP
  • MCP Architecture
  • Client
  • Server
  • Tools
  • Resources
  • Prompts
  • Transport Layer

Hands-on MCP Servers

  • Filesystem MCP
  • Playwright MCP
  • Git MCP
  • Browser MCP
  • Database MCP
  • Build Custom MCP Server
MODULE 07

LangChain

Core Concepts

  • Prompt Templates
  • Chains
  • Memory
  • Output Parsers
  • Structured Output
  • Tools
  • Retrieval
  • Agents

Advanced Topics & Project

  • Tool Calling
  • Multi-Step Chains
  • Conversation Memory
  • Custom Workflows
  • Requirement Analysis Assistant
  • Production-ready AI Applications
MODULE 08

Retrieval-Augmented Generation (RAG)

RAG Fundamentals

  • Embeddings
  • Chunking
  • Vector Database
  • Similarity Search
  • Metadata
  • Retrieval
  • Re-ranking

Hands-on Projects

  • ChromaDB Integration
  • Pinecone Integration
  • Upload BRDs
  • Query User Stories
  • Read API Documentation
  • Search Test Cases
  • Build Production-ready RAG Application
MODULE 09

AI Agents with CrewAI

Agent Fundamentals

  • Agent Architecture
  • Planning
  • Memory
  • Reflection
  • Tool Usage
  • Multi-Agent Collaboration
  • CrewAI Framework

Build AI Agents

  • Requirement Analyst Agent
  • Test Case Generator Agent
  • Automation Engineer Agent
  • Code Reviewer Agent
  • Bug Analyzer Agent
  • Report Generator Agent
MODULE 10

LangFlow

Visual AI Development

  • Introduction to LangFlow
  • Components
  • Prompt Chains
  • Visual Agents
  • Flow Builder
  • AI Workflow Design

Hands-on Projects

  • Visual RAG Applications
  • AI Agent Workflows
  • MCP Integration
  • Production AI Pipelines
  • Flow Deployment
MODULE 11

Testing AI Systems

AI Applications Testing

  • Chatbots
  • AI Agents
  • LLM APIs
  • RAG Applications
  • AI Search
  • AI Copilots

AI Validation

  • Hallucination
  • Groundedness
  • Faithfulness
  • Relevance
  • Toxicity
  • Bias
  • Prompt Injection
  • Jailbreak Testing
  • Security Testing
  • DeepEval
  • Promptfoo
  • LangSmith
MODULE 12

Production AI Engineering

Deployment

  • FastAPI
  • Docker
  • Cloud Deployment
  • Environment Variables
  • Secrets Management
  • API Security

Production Best Practices

  • Logging
  • Monitoring
  • AI Observability
  • Prompt Versioning
  • Model Versioning
  • Token Monitoring
  • GitHub Actions
  • CI/CD Pipelines
MODULE 13

Capstone Project

Build an End-to-End AI Quality Engineering Platform

  • 📄 Requirement PDF Analysis
  • ⬇
  • 🤖 Requirement Analyzer Agent
  • ⬇
  • 📝 Test Case Generator
  • ⬇
  • ⚙ Automation Generator
  • ⬇
  • 🎭 Playwright Execution
  • ⬇
  • ✅ DeepEval Validation
  • ⬇
  • 📊 AI Report Generator
  • ⬇
  • 💬 Slack / Teams Notification

Bonus Modules

🔐 AI Security Testing

  • Prompt Injection
  • Jailbreak Testing
  • OWASP Top 10 for LLMs
  • Data Leakage
  • Secure Prompt Design

🤖 AI for Playwright & Selenium

  • AI Locator Generation
  • Self-Healing Tests
  • Visual Validation
  • Screenshot Analysis
  • DOM Understanding
  • AI Test Maintenance

⚡ AI for API Testing

  • Swagger Analysis
  • OpenAPI Validation
  • Contract Testing
  • AI Generated API Tests

🚀 Career Accelerator

  • Resume Review
  • LinkedIn Optimization
  • GitHub Portfolio
  • AI QA Interview Preparation
  • Freelancing & Consulting

Technologies Covered

Python FastAPI ChatGPT Gemini Claude Ollama LangChain CrewAI LangFlow MCP DeepEval Promptfoo LangSmith ChromaDB Pinecone Playwright Selenium REST APIs Docker Git GitHub GitHub Actions

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