oaxino Posted Wednesday at 09:01 AM Report Share Posted Wednesday at 09:01 AM Published 8/2025MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChLanguage: English | Duration: 1h 54m | Size: 1.18 GBMitigating Bias and Ensuring Fairness in GenAI Systems in English!What you'll learnStudents will be introduced to different Gen AIs and LLMsIntroduction to sources of biases in AI SystemsPrompt engineeringSeeing how RAGs could help correct biasRequirementsPrior exposure to common AI terms such as LLMs, ChatGPTA desire to build safe and fair AI systemsDescriptionGenerative AI is transforming industries-but with great power comes a critical responsibility: ensuring fairness and reducing bias in AI outputs.In this course, you'll get a practical, beginner-friendly introduction to the key concepts, challenges, and solutions for building responsible AI systems.What you'll learn:What Generative AI (GenAI) is and how it worksThe differences between GenAI and Large Language Models (LLMs)Overview of popular GenAI platforms and toolsFamiliar sources of bias in AI modelsProven strategies to mitigate bias and ensure fairnessA brief introduction to Retrieval-Augmented Generation (RAG) and how it improves context accuracyI am Minerva Singh. I have an MPhil (Geography and Environment) from the University of Oxford, UK. I also completed a data science-intensive PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience developing AI applications for a variety of UK universities and organisations, producing publications for international peer-reviewed journals and undertaking data science consultancy work. In addition to all the above, you'll have MY CONTINUOUS SUPPORT to ensure you get the most value out of your investment!ENROLL NOW :)Whether you're a developer, analyst, AI enthusiast, or business leader, this course will equip you with the knowledge to identify, reduce, and manage bias in AI systems-and to create AI solutions that are transparent, ethical, and trustworthy.By the end, you'll have a clear action plan to integrate fairness into your GenAI workflows, no matter which platform or model you're using.No advanced technical background required-just curiosity and a commitment to building better AI.Who this course is forPeople with prior exposure to AI systems, including Gen AI modelsGen AI UsersEthics and governance practitionersHomepage:https://www.udemy.com/course/mitigating-bias-and-ensuring-fairness-in-genai-systems-k/ScreenshotsDownload linkrapidgator.net:https://rapidgator.net/file/2cdc9d401b03e4865a1a1f0cf4b3ea52/hoypt.Mitigating.Bias.and.Ensuring.Fairness.in.GenAI.Systems.part1.rar.htmlhttps://rapidgator.net/file/38448ee84bada2ea8ecec53f0dc30a55/hoypt.Mitigating.Bias.and.Ensuring.Fairness.in.GenAI.Systems.part2.rar.htmlnitroflare.com:https://nitroflare.com/view/3BF56FE2C1773E4/hoypt.Mitigating.Bias.and.Ensuring.Fairness.in.GenAI.Systems.part1.rarhttps://nitroflare.com/view/1C9D1DFA1AB4A52/hoypt.Mitigating.Bias.and.Ensuring.Fairness.in.GenAI.Systems.part2.rar Link to comment Share on other sites More sharing options...
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