avaxgfx Posted September 17, 2023 Report Share Posted September 17, 2023 Published 8/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.07 GB | Duration: 4h 48mStart your Generative AI journey today with Google Bard, PaLM API & Google Cloud Generative AI StudioWhat you'll learnUnderstand the basics of Generative AILearn about the different types of Generative AIUnderstand how Generative AI worksApply Generative AI to real-world problemsLearn how to use Google's Bard, PaLM API, and Google Cloud to create Generative AI contentRequirementsSome experience with programmingDescriptionI'm here to help you learn Generative AI Fundamentals!Do you think learning Generative AI is DIFFICULT? What if I can prove you WRONG?Learn Generative AI, AI and ML Fundamentals in a WEEKEND!Take your FIRST STEPS into the amazing world of Generative AI, Artificial Intelligence and Machine Learning using a HANDS-ON step by step approach.BEGINNERS to cloud, AI and ML are WELCOME!5 Things YOU need to know about this Generative AI Course#1: HANDS-ON - The best way to learn Generative AI Fundamentals is to get your hands dirty!#2: Designed for ABSOLUTE BEGINNERS #3: MULTI-CLOUD INSTRUCTOR - MORE THAN 100,000 Learners are learning AWS, Azure, and Google Cloud with us#4: FREE Downloadable PDF #5: 5 FREE Downloadable Python Notebook Examples Generative AI is the future of artificial intelligence. It is the ability of machines to create new content, such as images, text, and music, that is indistinguishable from human-created content. As this domain gains momentum, its potential applications are boundless. A number of developers think that understanding and making use of Generative AI needs in-depth knowledge of AI and ML. But guess what? That couldn't be further from the truth! I'm Ranga Karanam. I'm the founder of in28minutes and creator of some of the worlds most popular courses on Cloud and DevOps. I've helped more than a million learners around the world acquire new tech skills. In this course, we will break down the misconception that Generative AI is difficult and guide you through the journey of embracing Generative AI with confidence. I'm a great believer that the best way to learn is by doing and we designed this course to be hands-on. You will play with a number of Generative AI services - Bard, PALM API, Generative AI Studio, MakerSuite and a lot more. You will also understand the fundamentals of AI, ML and how Generative AI fits into the AI/ML world. By the end of the course, you will NOT only understand how to become more productive using Generative AI but also understand how to make integrate Generative AI into your applications. While some programming knowledge is beneficial, no prior experience in generative AI is necessary.Are you ready to get started on the amazing journey to learn Generative AI with Google technologies?Do you want to join more than 1 MILLION learners having Amazing Learning Experiences with in28Minutes?Join Now!OverviewSection 1: IntroductionLecture 1 Generative AI with Google - Course IntroductionLecture 2 DO NOT SKIP - Course DownloadsSection 2: Getting Started with Google BardLecture 3 Step 01 What is Artificial Intelligence?Lecture 4 Step 02 Playing with Bard - Getting StartedLecture 5 Step 03 Playing with Bard - Coding, Learning and DesignLecture 6 Step 04 Playing with Bard - Exploring TechnologyLecture 7 Step 05 Playing with Bard - Generating IdeasLecture 8 Step 06 Generative AI is NOT DeterministicSection 3: Getting Started - AI vs ML vs Generative AILecture 9 Step 01 Getting Started - AI vs ML vs Generative AILecture 10 Step 02 Understanding Machine Learning vs Traditional ProgrammingLecture 11 Step 03 Understanding Machine Learning Fundamentals - Features and LabelsLecture 12 Step 04 Understanding Machine Learning Fundamentals - Steps and TerminologyLecture 13 Step 05 The AI Turmoil - My View PointSection 4: Exploring Generative AI FundamentalsLecture 14 Step 01 What is Generative AI?Lecture 15 Step 02 Generative AI - Needs Huge Volumes of DataLecture 16 Step 03 Generative AI - Uses Self Supervised LearningLecture 17 Step 04 Key Step In Generative AI For Text - Predicting Next WordLecture 18 Step 05 Generative AI Text - Uses Tokens instead of WordsLecture 19 Step 06 Exploring Predictive Machine Learning vs Generative AISection 5: ML in Google Cloud - An OverviewLecture 20 Step 01 ML in Google Cloud - Traditional LandscapeLecture 21 Step 02 ML in Google Cloud - 1 - Using Machine Learning APILecture 22 Step 03 ML in Google Cloud - 2 - Custom Models without ML expertiseLecture 23 Step 04 ML in Google Cloud - 3 - Build Complex Custom ModelsLecture 24 Step 05 Creating GCP - Google Cloud Platform - AccountLecture 25 Downloads - We will use the cloud images in Next StepLecture 26 Step 06 ML in Google Cloud - Quick DemoSection 6: Generative AI with Google and Google Cloud - Quick OverviewLecture 27 Step 01 Generative AI with Google and Google Cloud - Quick OverviewLecture 28 Step 02 Exploring Generative AI Foundation ModelsLecture 29 Downloads - We will use generate ai studio - gen ai prompts file in next stepLecture 30 Step 03 Exploring Text Features - SummarizationLecture 31 Step 04 Exploring Text Features - ClassificationLecture 32 Step 05 Exploring Text Features - ExtractionLecture 33 Step 06 Exploring Text Features - IdeationSection 7: Getting Started with Prompt DesignLecture 34 Step 01 Getting Started with Prompt DesignLecture 35 Step 02 Giving Examples - ZERO SHOT vs ONE SHOT vs MANY SHOTLecture 36 Step 03 Exploring Prompt Frameworks - RTF, CTF and RASCEFLecture 37 Step 04 Experiment with ParametersSection 8: Exploring Vertex AI PaLM API and Generative AI Studio FurtherLecture 38 Step 00 Executing Vertex AI PaLM API from Vertex AI WorkbenchLecture 39 Step 01 Exploring Vertex AI PaLM API - Text Model APILecture 40 Step 02 Exploring Chat ModelLecture 41 Step 03 Exploring Code ModelsLecture 42 Step 04 Exploring Image ModelsLecture 43 Step 05 Exploring Speech ModelsLecture 44 Step 06 Cloud Best Practice - Stop Unused Resources - User Managed NotebookSection 9: Exploring Generative AI FurtherLecture 45 Step 01 Tuning Language ModelsLecture 46 Step 02 What are Embeddings?Lecture 47 Downloads - We will use generative ai studio notebooks in the next stepLecture 48 Step 03 Exploring Embeddings with an ExampleLecture 49 Step 04 Getting Started with LangChainLecture 50 Step 05 Understanding LangChain FundamentalsLecture 51 Step 06 Exploring LangChain - Answering Questions from a Long ArticleLecture 52 Step 07 Exploring LangChain - SummarizationLecture 53 Step 08 Executing Vertex AI - PaLM API From ColabSection 10: Exploring Other Google Generative AI OfferingsLecture 54 Step 00 Generative AI App Builder is NOT GA yetLecture 55 Step 01 Getting Started: Generative AI App BuilderLecture 56 Step 02 00 MakerSuite and PaLM API are NOT GA yetLecture 57 Step 02 01 Getting Started: PaLM API and MakerSuiteLecture 58 Step 03 Cloud Best Practice - Delete Unused Resources - User Managed NotebookSection 11: Google AI Principles and Responsible AI practicesLecture 59 Google AI Principles and Responsible AI practicesSection 12: Generative AI with Google - CongratulationsLecture 60 Generative AI with Google - CongratulationsLecture 61 Bonus LectureAnyone interested in learning about Generative AIScreenshots[code]https://rapidgator.net/file/a0009f55d25a77eace6ac2b8607f567f/Generative_AI_with_Google_Bard_PaLM_API_and_Google_Cloud.part1.rar.htmlhttps://rapidgator.net/file/20ee58a895af67e38aba977fcd479cd6/Generative_AI_with_Google_Bard_PaLM_API_and_Google_Cloud.part2.rar.htmlhttps://rapidgator.net/file/88022511dc50c89e02f0857177d9bd00/Generative_AI_with_Google_Bard_PaLM_API_and_Google_Cloud.part3.rar.htmlhttps://uploadgig.com/file/download/dC40433a12d0d284/Generative_AI_with_Google_Bard_PaLM_API_and_Google_Cloud.part1.rarhttps://uploadgig.com/file/download/57135A324fa57e2c/Generative_AI_with_Google_Bard_PaLM_API_and_Google_Cloud.part2.rarhttps://uploadgig.com/file/download/11b07e9Fcaa11069/Generative_AI_with_Google_Bard_PaLM_API_and_Google_Cloud.part3.rar[/code] Link to comment Share on other sites More sharing options...
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