Gen AI Course for Software Testing in Gurgaon: Automation and Quality
AI is the future innovation with Agentic AI tools and frameworks (Zapier, n8n, ChatGPT Open AI, Azure Open AI Auto-Gen & Agentic AI tools) for intelligent automation. We are delivering this training in Gurgaon where-in core Gen AI principles using patterns like multi-agents, reflection & others will be taught using hands-on training to become a Gen AI Engineer.
- Get mastery in building Agentic AI workflows for intelligent automation & to drive key businesses powered through agentic ai frameworks like Zapier, n8n, Azure Open AI, chatGPT & others.
- Experience blended learning through interactive offline and online sessions.
- Job Oriented Training Course
- Course Duration - 3 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Trained through leading industry professionals to get realtime project exposure
Gain professionals insights through leading industry experts across domains
24/7 Q&A support designed to address training needs
Generative AI for Software Testing Course Overview
Kickstart your carrer in AI with certification in Generative AI Engineer course, that will help in shaping the carrer to the current industry needs that need automation using intelligent workflows like Zapier, n8n cloud, Azure Open AI, ChatGPT, RAG Microsoft AutoGen ,LangGraph & others in every domain & sphere of the industry that will allow organizations to boost decision making & also thrive business growth with improved customer satisfaction.
Key Features
- Self-paced videos & training materials with archived session recordings
- Success Aimers targets industry employers to gain visibility
- Industry-paced training with realtime scenarios using Agentic AI frameworks/tools (Zapier, n8n Cloud, chatGPT, Open AI, AWS Bedrock , Microsoft AutoGen, Langchain, LangGraph, AWS Bedrock, Azure Open AI & others) for intelligent automation.
- Real-World industry scenarios with projects implementation support
- Live Virtual classes heading by top industry experts alogn with project implementation
- 24/7 Q&A support sessions
- Job Interview preparation & use cases
Request More Information
Explain Gen AI Engineer?
AI Engineers automate business processes via AI development frameworks (Agentic AI) like n8n Cloud, Open AI, ChatGPT Microsoft AutoGen, Langchain, LangGraph, AWS Bedrock, Azure Open AI & others for intelligent automation that will allow organizations to boost decsion making & also thrive business growth with improved customer satisfaction. AI engineers build optimized workflows, deployment & maintain the AI development lifecycle to deliver high-précised solutions to the clients using Agentic AI frameworks/workflow builders.
Role of Gen AI Engineer?
Generative AI Engineers manages the end-to-end AI development lifecycle using Agentic AI frameworks and intelligent workflow strategies.
Responsibilities include:
- Agentic AI Tools like ChatGPT, Open AI Platform, Zapier, n8n Cloud Adoption & automation using patterns like RAG ,Tools ,Reflection & others
- Continuously exploring new AI based frameworks/tools to build optimized workflows
- Deploying AI model within cloud infrastructure securely & seamlessly.
- Develop & Design AI workflows that meets business needs with automation scripts
- Success Aimers helps aspiring AI professionals to build, deploy, manage these Agents effectively seamlessly & to scale as per business needs.
Who should opt for Gen AI Engineer course?
Gen AI course accelerates/boost carrier in AI & technology-driven organizations
- AI & Application Engineers – Develop Agentic AI workflows to automate business processes.
- Data Engineers – Implementing Data Pipelines using AI
- AI Developers – Automated workflows using Agentic AI frameworks/tools
- AI Leaders – Leading AI Governance & initiative within enterprise.
- Cloud & Infrastructure Engineers – Deploying AI developed applications seamlessly & effectively.
Prerequisites of Gen AI Engineer Course?
Prerequisites required for the Generative AI Engineer Certification Course
- Below is the prerequisite to become a successful AI Professional:
- High School Diploma or a undergraduate degree
- Python Programming language
- IT Foundational Knowledge along wit Data Science & Software Development skills
- Knowledge of Cloud Computing Platforms like AWS, AZURE & GCP will be an added advantage.
Kind of Job Placement/Offers after Gen AI Engineer Certification Course?
- Job Carrer Path in Generative AI, Agentic AI, Open AI & ChatGPT Engineer
- Generative AI Engineer – Develop & Deploy AI developed solutions/applications using agentic frameworks/tools
- AI/ML Engineer – Build context-aware, Enterprise ready AI systems.
- AI Automation Engineer – Design, Developed & build automated workflows to drive key business processes/decisions
- Cloud AI Engineer / AI Cloud Architect – Deploy AI Solutions seamlessly & effectively across enterprises with AI Governance strategy
- AI Model Deployment Engineer – Automate Model Deployment & AI Lifecycle management via MLOps pipeline & Agentic AI Frameworks
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Generative AI in Software Testing Certification Course Curriculum
Start your carrer in AI with certification in Generative AI Engineer course, that will help in shaping the carrer to the current industry needs that need automation using intelligent
workflows like n8n, Zapier, ChatGPT, Azure Open AI, Microsoft AutoGen ,LangGraph & others in every domain & sphere of the industry that will allow organizations to boost decision making & also thrive business growth with improved customer satisfaction.
Introduction to Generative AI(Gen AI)
Introduction to Gen AI
- ChatGPT With Simple Prompt to powerful information
- Understanding ChatGPT's AI Agent to perform Research operations
- Using Claude AI and understand different Models to get powerful information
Executing Large Language Models (LLM’s) in Local Machine
- Running Llama 3.1 (Meta) Model in Local Machine
- Running Gemma Models in Local Machine and Prompt without having Internet
- Running Llama 3.2 (Meta) Multi-Model with Vision in Local Machine (For Images)
Manual Testing with the Power of Gen AI
- Creating Manual Test scenarios with LLM
- Creating Manual Test Data Generation With Gen AI
- Using Local LLMs to create Manual Test cases and Test Data
- Generating BDD Scenarios for Automated Test Engineers
- Test Requirement/Product Requirement Analysis with Grounded Models
- Query Test Requirement from various sources with Offline Grounded Models
- Understanding RAG (Retrieval Augmented Generation)
- Applying RAG Feature to get Context-aware and Precise Test Plan and Test Case
Writing Automated UI Testing with Gen AI
- Generating Automation Test code and Refactoring them
- Getting Explanation of your Test Code with Gen AI
- Using Gen AI Based Development tool while writing Automated Testing
- Getting Suggestions while writing test automation code with AI Pair programming
Playwright UI Testing with Gen AI and Gen AI Based Tools
- Gen AI Based Tools for Playwright - Zero Step
- Automated Complex workflow with Gen AI
- Gen AI Based Tool for Playwright - Auto-Playwright
UI Automation Testing with Gen AI Based Testing Tools – Test Rigor
- Create Manual Automated Test Case with TestRigor
- Automating Flight Reservation using TestRigor
- Automating Complex E-Commerce website
- Reusable Rules of TestRigor to reuse test steps across scenarios
- Parameterized Test Data for Automated Scenarios
- Testing Phone Call and SMS
- Shared Test Suite in TestRigor to share Reusable rules and test data
- Record and Playback in TestRigor
- API Testing with TestRigor
API Testing with Gen AI
- Writing RestSharp API Testing with Application Schema
- API Testing with PostBot of Postman - An Gen AI Feature
Using Generative AI’s API to Build Intelligent Test Automation Code (Advanced)
- Understanding OpenAI API Portal and creating API Keys
- Building Selenium with C# Code Without Intelligent Automation Feature
- Building Access to OpenAI API from Test code to add Intelligence via GenAI
- Running Test Code with Intelligence Added via Generative AI with OpenAI API
Using Gen AI’s API to Build Visual Testing in Test Automation Code
- Understanding the Visual Comparison scenario
- Building Vision Code to pass Image for Visual Comparison in OpenAI library
- Fusing Visual Comparison in Selenium Test Code and get the GenAI Response string
- Deserialise Gen AI Response of Visual Comparison for Custom Response in Test
Using Local LLM’s API’s to access Gen AI Models and Perform Test Automation
- Understanding How to Access Local LLMs APIs
- Interacting with Local LLM APIs using Microsoft.Extensions.AI libraries
- Writing Intelligent Selenium Test Code with Local LLMs AI libraries
- Fine Tuning Prompt with HTMLAgilityPack to get consistent Response from LLMs
Building Intelligent Self-Healing Selenium Java Code with OpenAI Java Library
- Setting up Selenium Java Project with OpenAI Library
- Writing Simple Java code to work OpenAI library to access LLMs API
- Understanding how to get Page Object from WebPage in real-time using Tools
- Understanding Pseudocode for Implementation
- Building OpenAI Library Helper to work with OpenAI APIs
- Creating Locator Reader to store the locators with Custom Locator Models
- Creating FindElementByPartialText Method to find element from collection
- Creating Selenium POM Code with AI Self healing locator
Understand and working with various AI Agents (SmoleAgent, Browser Use….)
- Understanding AI Agents
- Creating AI Agents using SmolAgents of Hugging Face
- AI Agent controlling Browsers using Selenium with SmolAgents
- AI Agent: Browser Use for Browser Automation
- Browser Use - Using Google Gemini Model to run UI Tests
- Browser Use - Parallel Execution of UI Tests with multiple prompts
- Browser Use - Parallel Execution of UI Tests with Multi-Model Support
- Browser Use - Using Local LLMs with Ollama to run UI Tests
Model Context Protocol (MCP) for Automation Testing (UI/API/DB)
- Introduction to Model Context Protocol of Claude
- MCP Server in Action for Playwright automation
- MCP Server configuration for Playwright
- Configuring MCP Server and working with them
- Understanding Different Agents in IDEs like Cursor, VS Code, Cline
- Working with Visual Studio Code Github Copilot Agent
- Understanding the new features of Playwright MCP Server
- Test Code Generation feature of Playwright MCP Server
- Configuring MCP Server in Cursor IDE For automation Testing with Test CodeGen
- Configuring VS Code GitHub Copilot IDE with MCP Server for Automation Testing
- Understanding Testing 3-Tier applications (API/DB/UI)
- Configure SQLite MCP Server for DB Testing
- Run API and UI Testing With MCP Server
- DB Testing with MCP Server along with UI and API
Powerful CLI’s with the Power of Agent and MCP’s – All with Natural Languages
- Warp Terminal - Interact with Natural Language with ZERO code for your commands
- Google Gemini CLI - CLI tools with AI For Development and Testing
- Amazon Developer Q - AI CLI For Development and Testing
- Claude Code CLI - AI CLI tool for Development and Testing of App with English
- Claude Code CLI - AI CLI tool for Development and Testing of App with English
Test Sprite – Easiest AI Agent for Software Testing
- API Testing of application using Test Sprite with Natural Language
- UI Testing of Application using Test Sprite with Natural Language
- Using Test Sprite MCP Server for Testing Local Application
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as Generative AI Certified Professional.
With the AI Certification in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Zapier
- n8n
- Open AI
- chat GPT
- Azure Open AI
- Agentic AI
- Model Context Protocol (MCP)
- RAG
- LangGraph
- LangChain
- AI Governance
- AI Guardrails
- AWS Bedrock Agents
- AutoGEN
45% - 100%
Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions
Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.
Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.
Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews
Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner
Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Gen AI/Agentic AI course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of AI & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Gen AI engineer?
To become a successful Gen AI Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training becauase we have the live recorded session that’s students can refer later.
What industries lead in Gen AI implementation?
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Gen AI Certification Course reviewed by learners?
Our Gen AI Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to AI.
Also our training curriculum has been reviewed by alumi & praises the thoroguh content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the traiing and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training
programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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