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Certified Generative AI expert course
![]() Certified Generative AI expert course Published 11/2024 Created by Satyendra Singh (NCFM and NSIM certified ) Technical and analyst, portfolio manager,Machine learning expert MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 22 Lectures ( 3h 34m ) | Size: 2.64 GB Generative AI, Chatgpt, diffusion model, Gen- AI for text and Image,Gen-AI application, prompt engineering,Data privacy What you'll learn Basics of Generative AI The difference between Generative AI and NO generative AI Generative AI use in different industry sectors Generative AI text generation Generative AI stable diffusion Challanges for Image generation using generative AI Compelete GEN AI sturucture Gen AI application for public service,Healthcare, Tourism, Education How to do data privacy in Gen-AI Gen-AI for text , information , code generation Gen AI for question Answering Upcoming trends for generative AI Requirements Engieer should be aware of basics of machine learning. Description This course covers below mentioed topics to be complete generative AI skills:•Gen-AI basics •Gen- AI and Non Gen- AI•Gen-AI applications•Text Data•Gen-AT text Intro•Chatgpt Overview•Chatgpt - Text generation•Google bard - Text generation•Diffusion AI models•Dream studio platform•Generating Images with Stable Diffusion•Editing Images with Stable Diffusion•Prompt Engineering for Image Generation•Mitigating Data Leakage using Data Masking•Using Private Generative AI Models•Role of Privacy by Design in AIAsideGen AI use in Healthcare, Education, Tourism covered•Potential Risks to Data Privacy in AI•Mitigating Data Leakage using Data Masking•Using Private Generative AI Models•Role of Privacy by Design in AI•Implementing a Data Privacy CultureGenertive experts have good skills to create, innovate, and generate content. They have a deep understanding of generative models, neural networks, machine learning algorithms, and other advanced techniques that enable the creation of novel and creative outputs.Generative AI creates new content, like text or images, based on patterns in data. Large Language Models (LLMs) are a powerful form of this AI, generating human-like text, while Small Language Models (SLMs) focus on specialized tasks with less data. Retrieval-Augmented Generation (RAG) enhances these models by pulling in external information for more accurate results.AI Agents use generative AI to autonomously perform tasks such as writing or research. Together, they represent cutting-edge advancements in automation and creativity. Who this course is for Graduates who want to make carieer in generative AI Engineering graduates Homepage Öèòàòà:
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