Generative AI ChatGPT |Google Gemini for Software Engineers
- Description
- Programme
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This introductory course is designed specifically for Software Quality Engineers interested in leveraging the power of Generative AI to enhance their testing, automation, and productivity.
Throughout the course, participants will learn how to apply Generative AI techniques to automate the generation of test cases, simulate user behavior, create user stories, and generate test data. The course will provide a practical understanding of how AI can be used to improve software quality and boost productivity, rather than focusing on the underlying AI algorithms and models.
Topics:
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Understanding Generative AI: An overview of Generative AI and its applications in software testing and quality assurance.
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Automated Test Generation: Learn how to use Generative AI to automatically generate a variety of test cases, reducing manual effort and increasing test coverage.
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API Access for Chat GPT and Google Bard: Understand how to call Bard and GPT with the help of customer made consumers
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Automated User Story Creation: Understand how Generative AI can be used to generate user stories, helping to streamline the requirements gathering and software development process.
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Test Data Creation: Learn how Generative AI can be used to generate test data, ensuring comprehensive and effective testing while saving time and effort.
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Code Investigation: Discover how Generative AI can assist in investigating complex code, identifying potential issues, and understanding code dependencies.
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Code Explanation: Learn how Generative AI can be used to explain code behavior, making it easier to understand complex code and improve code quality.
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Boosting Productivity: Understand how these Generative AI techniques can be integrated into your existing workflows to boost productivity, improve software quality, and accelerate delivery times.
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[Practical] See how to create a Performance testing Framework with CI/CD on cloud with AI
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[Practical] Create an API Testing Framework with Java and RESTAssured with AI
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[Practical] Code Quality Validation Framework for Java
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See differences between CHATGPT and GOOGLE BARD
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Google Cloud AI solution with model training – Vertex AI
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5What makes up AIVideo lesson
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6Where do Large Language Models(LLM) fit into AIVideo lesson
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7Types of Machine LearningVideo lesson
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8Machine Learning - Supervised MLVideo lesson
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9Machine Learning - Unsupervised MLVideo lesson
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10Machine Learning - Reinforced MLVideo lesson
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11Neural Networks and Deep LearningVideo lesson
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12What is a Large Language Model - LLMVideo lesson
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13Generative AI - What it isVideo lesson
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14Warning - Hallucinations - ExamplesVideo lesson
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15Warning - Privacy - ExamplesVideo lesson
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16A word of introduction on AI Use CasesVideo lesson
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17AI Use Case 1 - Artifact Enrichment - How it worksVideo lesson
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18AI Use Case 1 - 2 Architectures for Gen AI EnrichmentVideo lesson
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19AI Use Case 1 - [Demo Generative AI]- Enrich ContentVideo lesson
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20AI Use Case 1 - [Demo Generative AI] Enrich Content - Using API ClientVideo lesson
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21AI Use Case 2 - Recommendation Engine with AI - How it WorksVideo lesson
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22AI Use Case 2 - [Demo ]- AI Assisted Shopping Recommendation EngineVideo lesson
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23AI Use Case 3 - Self Healing CodeVideo lesson
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24AI Use Case 3- [Demo Generative AI] Self Healing Code - GItHubVideo lesson
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25AI Use Case 4- Tests based on Analytics - PreconditionsVideo lesson
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26AI Use Case 4- Tests based on Analytics - How it WorksVideo lesson
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27AI Use Case 5 - Self Service Portal ChatbotVideo lesson
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28AI Use Case 5 - Demo Trained Model - Self Service BotVideo lesson
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29Bard is now rebranded to GeminiVideo lesson
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30Access to Google BardVideo lesson
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31Important LinksVideo lesson
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32Generate Alternative AnswersVideo lesson
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33Change Tone and Lenght of AnswerVideo lesson
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34Exporting AnswersVideo lesson
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35Files and URL ManipulationVideo lesson
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36Image Generation with Google BARD | GeminiVideo lesson
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37Scan Youtube VideosVideo lesson
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38Plot Charts and GraphsVideo lesson
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39Get Infrastructure code from DiagramVideo lesson
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40Explain why do we need Quality EngineeringVideo lesson
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41Explain a Framework - Selenium WebdriverVideo lesson
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42Compare 2 Testing FrameworksVideo lesson
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43Explain Concept - Test PyramidVideo lesson
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44Explain Code - JavaVideo lesson
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45Narrow down Results - Shifting LeftVideo lesson
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46Explain Non Functional TestingVideo lesson
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47Understand Test ScopeVideo lesson
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48Identify Test Scenarios and DataVideo lesson
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49Smoke Test from Command LineVideo lesson
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50Fix Comand Line TestVideo lesson
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51Create Java ProjectVideo lesson
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52Creating first Test CaseVideo lesson
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53Resolve DependenciesVideo lesson
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54Execute First TestVideo lesson
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55Add Tests to SuiteVideo lesson
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56Execute Java Test from Command LineVideo lesson
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57Create GitHub RepositoryVideo lesson
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58Setup Github ActionsVideo lesson
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59Run Test on Azure ApplicationVideo lesson
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60Chat GPT - Features - Bing BrowsingVideo lesson
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61Chat GPT - Custom PluginsVideo lesson
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62Chat GPT - DALL-E Image generationVideo lesson
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63Identify A Deep FAKE with DALL-E3Video lesson
Understand how to identity deep fakes generated with DALL - E3.
Blog: https://help.openai.com/en/articles/8912793-c2pa-in-dall-e-3
Site: https://contentcredentials.org/verify
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64Chat GPT - Feature - Code InterpreterVideo lesson
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65Chat GPT - Build your own custom GPTVideo lesson
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66GPT Mentions | GPT StoreVideo lesson
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67Chat GPT - Platform.openai.comVideo lesson
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68What is a Token in LLMVideo lesson
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69Chat GPT-API - Create SubscriptionVideo lesson
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70Chat GPT-API - PricingVideo lesson
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71Chat GPT-API - Tiers and LimitsVideo lesson
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72Chat GPT-API - Get API KeyVideo lesson
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73Chat GPT-API - API LISTVideo lesson
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74Chat GPT-API - Completion API CallVideo lesson
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75Chat GPT-API - DALL-E API CallVideo lesson
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76Chat GPT- API - Moderation APIVideo lesson