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Free Download GenAI Application Architecture - Scalable & Secure AI Design Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 40m | Size: 2.51 GB Build scalable, secure, and efficient GenAI applications with AWS, MLOps, monitoring, and cloud-native architecture What you'll learn Design Scalable GenAI Applications: Learn to architect and build scalable GenAI applications using the LGPL architecture, focusing on Layer, Gate, Pipes Implement Resiliency and Error Handling: Understand how to incorporate error handling, monitoring, logging, and disaster recovery to create resilient GenAI Apps Ensure Security and Cost Efficiency: Develop secure and cost-effective GenAI solutions by leveraging AWS security services, containerization Automate and Optimize with MLOps & CI/CD: Learn to implement MLOps, CI/CD, and Explainable AI (XAI) for streamlined deployment and future-proofing GenAI apps Requirements Basic Knowledge of AI and Machine Learning: Understanding of fundamental AI and machine learning concepts. Familiarity with AWS: Experience with AWS services such as Lambda, S3, and DynamoDB is recommended. Programming Skills: Intermediate-level knowledge of Python is essential. Basic Understanding of Software Architecture: Familiarity with software architecture principles such as scalability, load balancing, and error handling. Description Master the essential techniques and best practices for designing and architecting scalable, secure, and cost-effective Generative AI (GenAI) applications. In this course, you'll explore the principles of the LGPL architecture (Layers, Gates, Pipes, and Loops) and how they apply to building GenAI systems using modern cloud services like AWS. We'll cover critical topics such as load balancing, containerization, error handling, monitoring, logging, and disaster recovery. This course is ideal for those looking to understand GenAI architecture, ensuring applications are resilient, secure, and efficient.What You'll Learn:Architect scalable and secure GenAI applications using the LGPL model.Understand core concepts such as containerization, load balancing, and disaster recovery.Learn best practices for monitoring, logging, and error handling in GenAI systems.Explore MLOps, CI/CD, and security strategies for future-proofing AI applications.This course focuses on the architecture and principles behind building robust GenAI systems, providing the knowledge needed to design effective AI solutions.Enroll now to transform your GenAI Application Architecture skills to the next level. Master GenAI Application Architecture - the core best practices and techniques for building secure, efficient, scalable GenAI Applications.Ready to take your skills to the next level? Join me, and let's get started. See you inside the course! Who this course is for AI Developers and Engineers: Those looking to build scalable, secure, and cost-effective GenAI applications. Cloud Architects: Professionals working with AWS who want to implement GenAI architectures using best practices. Machine Learning Enthusiasts: Individuals with a foundational understanding of machine learning and programming who want to expand into GenAI development. Software Engineers: Engineers seeking to integrate AI into cloud-native applications and implement MLOps pipelines Homepage https://www.udemy.com/course/genai-application-architecture/ Rapidgator https://rg.to/file/eb0dab6db8b173a5e31e2c1124e05cb1/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part1.rar.html https://rg.to/file/a15457d993ba63048e481b780ea9f7a6/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part2.rar.html https://rg.to/file/ce1437543d5df735599d92cd55596194/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part3.rar.html Fikper Free Download https://fikper.com/kOled1XDOx/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part1.rar.html https://fikper.com/5kl1QK2FDE/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part2.rar.html https://fikper.com/sW8thybbOP/idmrc.GenAI.Application.Architecture.Scalable..Secure.AI.Design.part3.rar.html No Password - Links are Interchangeable

Building A Scalable Serverless Application on AWS MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 410 MB Genre: eLearning | Language: English Serverless computing allows you to build and run applications and services without thinking about servers. With serverless computing, your application still runs on servers, but all the server management is done by AWS. Using AWS and its Serverless Platform, you can build and deploy applications on cost-effective services that provide built-in application availability and flexible scaling capabilities. This lets you focus on your application code instead of worrying about provisioning, configuring, and managing servers. The course will show viewers how to build a fully serverless, fully scalable application from the ground up, leveraging some of Amazon's suite of application services, including API Gateway, Lambda, Cloudfront, DynamoDB, S3, and SQS. We will start by gaining an understanding of what it means to be "serverless", and how some of this cutting-edge technology can help us to build serverless applications before we move on to designing and implementing our very own serverless API. By the end of the course, you will understand the clear benefits of next-generation serverless architecture, such as never again needing to worry about how to scale an application or manage virtual servers. Download From NitroFlare http://nitroflare.com/view/5732A67EB95B0BD/xidau123_BuildingAScalableServerlessApplicationonAWS.rar Download From Rapidgator https://rapidgator.net/file/c6e6f24f8dcf81962f7db0d50ac0b7f8/xidau123_BuildingAScalableServerlessApplicationonAWS.rar.html

Building Scalable APIs with GraphQL August 2016 | MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 10M | 389 MB Genre: eLearning | Language: English GraphQL is a query language and runtime that can provide a common interface between client and server applications for fetching and manipulating data. This course will show you how to build and consume GraphQL APIs with real-world examples. Want to get up and running with building and consuming GraphQL APIs? In this course, Building Scalable APIs with GraphQL, you'll learn what separates GraphQL from other languages and API runtimes, as well as what problems GraphQL solves, and how to use it for declarative data communication. This course is a great place to start for learning GraphQL, but to get the most from this course, you should have some experience with javascript and with NoSQL databases, including MongoDB or PostgreSQL. You'll learn how to create a GraphQL schema and how to use it via any interface, including an HTTP-based one. Next, you'll learn to use multiple types of databases with GraphQL, including PostgreSQL and MongoDB, and how to use caching and batching via tools like Dataloader to avoid extra queries to the database. Finally, you'll learn how to work with mutations, union types, and how to model GraphQL fields using database views. By the end of this course, you'll know how to build and consume a GraphQL API, and how to do so efficiently. Download link: http://rapidgator.net/file/b9bca440bab710e072b4e2428e9679d7/utiji.Building.Scalable.APIs.with.GraphQL.2016.part1.rar.html]utiji.Building.Scalable.APIs.with.GraphQL.2016.part1.rar.html http://rapidgator.net/file/02c7dcb38058bd35940cd71208f31195/utiji.Building.Scalable.APIs.with.GraphQL.2016.part2.rar.html]utiji.Building.Scalable.APIs.with.GraphQL.2016.part2.rar.html http://rapidgator.net/file/9ee81a77c6b79e888513f0a38f6b1969/utiji.Building.Scalable.APIs.with.GraphQL.2016.part3.rar.html]utiji.Building.Scalable.APIs.with.GraphQL.2016.part3.rar.html http://rapidgator.net/file/db914a799c4e58e1eef8d06d26db6084/utiji.Building.Scalable.APIs.with.GraphQL.2016.part4.rar.html]utiji.Building.Scalable.APIs.with.GraphQL.2016.part4.rar.html http://nitroflare.com/view/3D6BFC64C0A8F04/utiji.Building.Scalable.APIs.with.GraphQL.2016.part1.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part1.rar http://nitroflare.com/view/576A1487AD9210F/utiji.Building.Scalable.APIs.with.GraphQL.2016.part2.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part2.rar http://nitroflare.com/view/768A42C418A3704/utiji.Building.Scalable.APIs.with.GraphQL.2016.part3.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part3.rar http://nitroflare.com/view/53B2CB0B47F630E/utiji.Building.Scalable.APIs.with.GraphQL.2016.part4.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part4.rar http://uploaded.net/file/m781th69/utiji.Building.Scalable.APIs.with.GraphQL.2016.part1.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part1.rar http://uploaded.net/file/u3brs1xf/utiji.Building.Scalable.APIs.with.GraphQL.2016.part2.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part2.rar http://uploaded.net/file/zj50505g/utiji.Building.Scalable.APIs.with.GraphQL.2016.part3.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part3.rar http://uploaded.net/file/d5t0y5w3/utiji.Building.Scalable.APIs.with.GraphQL.2016.part4.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part4.rar http://www.datafile.com/d/TWpFd01UUTNOVFkF9/utiji.Building.Scalable.APIs.with.GraphQL.2016.part1.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part1.rar http://www.datafile.com/d/TWpFd01UUTNOamMF9/utiji.Building.Scalable.APIs.with.GraphQL.2016.part2.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part2.rar http://www.datafile.com/d/TWpFd01UUTNOelEF9/utiji.Building.Scalable.APIs.with.GraphQL.2016.part3.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part3.rar http://www.datafile.com/d/TWpFd01UUTNOelUF9/utiji.Building.Scalable.APIs.with.GraphQL.2016.part4.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part4.rar https://www.bigfile.to/file/mAHtX79NkMmS/utiji.Building.Scalable.APIs.with.GraphQL.2016.part1.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part1.rar https://www.bigfile.to/file/FR4zn5bcanA6/utiji.Building.Scalable.APIs.with.GraphQL.2016.part2.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part2.rar https://www.bigfile.to/file/ugWfE7KZWgRZ/utiji.Building.Scalable.APIs.with.GraphQL.2016.part3.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part3.rar https://www.bigfile.to/file/eVfvf3XK84yJ/utiji.Building.Scalable.APIs.with.GraphQL.2016.part4.rar]utiji.Building.Scalable.APIs.with.GraphQL.2016.part4.rar Links are Interchangeable - No Password - Single Extraction

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Udemy - Build scalable apps on Google App Engine With Michael Gradek 130 lectures | 12 hours | MP4, AVC, 1152x720, 30.00 fps | AAC, 44100 Hz, 64 kbps, 2 Ch | 2.44GB Genre: eLearning Learn what Google's platform offers to easily build scalable apps in no time. No previous coding experience required Web app development isn't hard, but there sure is a lot of material to go over. I wanted to create a comprehensive course because I feel if someone is serious on building something great, you need to have knowledge on many of the different aspects of creating web apps. In addition, I didn't want to create a boring course which goes over the basics of programming and then, separately, shows how to develop feature after feature without a cohesive vision. Instead, this course is project based, meaning that we will develop an entire web application throughout the course, and along the way, learn about programming basics and all of the different aspects on web app development as we encounter the need to implement certain features or learn certain concepts. In this course our main project will be building a re[beeep]e search engine using Python and Google App Engine! Yeah, a full-blown re[beeep]e search engine. It's kind of like a smaller version of Google, where the only thing you can search for are re[beeep]es instead of the entire web. Check the "What am I going to get from this course?" to see all of the different concepts we are going to learn :) Python is in my eyes, the best programming language to learn when you're starting. It reads like english so it's easy to understand the code and what it's doing, and Python tends to be terse, meaning that it's neatly concise and free of syntactical and verbal redundancy. Or in other words, it's clean and productive, where one line of Python code can do what maybe 5-6 lines of code do in other languages. Python is also a lot of fun to code! Google App Engine is an astonishing technology we can use to deploy our apps. It takes away all of the headaches of managing servers and infrastructure so you can focus 100% on your application code. Whenever your app gets popular and receive a peak of traffic you don't have to worry about your servers crashing over the increased load. Google App Engine automagically spins up new servers to serve your users. In addition, App Engine provides many extremely useful services we will use, but that we don't have to install and configure. For example, we don't need to install nor configure a database, a email server, full text search indices, queues, etc. All of that is already build by Google on App Engine and we simply need to call those services to use them. Do you know how much time that saves us in the development process? A ton! All of that allows us to rapidly develop apps, test them out and figure if we are getting traction or if we need to improve our product. It's this ability of fast development cycles that leads us to find our ideas that work, and hopefully, generate revenues and lead us to live the lifestyle we dream of. What am I going to get from this course? Over 130 lectures and 12 hours of content! Learn how to program in Python and create web applications on Google App Engine Learn about development patterns following Google's best practices Build a Re[beeep]e Search Engine which allows users to register, log in, post re[beeep]es with images, search for re[beeep]es and even build a parser or crawler that will go our and fetch re[beeep]es from other sites HTML development with Twitter's Bootstrap Framework javascript and jQuery development AJAX and asynchronous requests Backend development Using the NoSQL Google DataStore database Creating users and logging them in using cookie sessions Encrypting passwords and cookies Posting content, including images, to our app Indexing re[beeep]es into our Full text Search Index Building a parser (crawler, spider) and fetching content from other sites Debugging Deploying the application Pointing a custom domain to our app Monitoring and performance testing and enhancing using logs and traces Download From Uploaded http://uploaded.net/file/k47vwjnr/xidau123_buildScalappGooglAppEgnin.part1.rar http://uploaded.net/file/7whkkz4x/xidau123_buildScalappGooglAppEgnin.part2.rar http://uploaded.net/file/4spxue38/xidau123_buildScalappGooglAppEgnin.part3.rar Download From NitroFlare http://www.nitroflare.com/view/D38A752D94263F6/xidau123_buildScalappGooglAppEgnin.part1.rar http://www.nitroflare.com/view/B8828485D427429/xidau123_buildScalappGooglAppEgnin.part2.rar http://www.nitroflare.com/view/0B0E5925CF1AC2A/xidau123_buildScalappGooglAppEgnin.part3.rar Download From Rapidgator http://rapidgator.net/file/774955b67a5fa41d58580ab892374ec6/xidau123_buildScalappGooglAppEgnin.part1.rar.html http://rapidgator.net/file/32edd6aeca9c09eb2525da7024f3be2b/xidau123_buildScalappGooglAppEgnin.part2.rar.html http://rapidgator.net/file/a875059d22f8dbd105f0fb48a863e5f7/xidau123_buildScalappGooglAppEgnin.part3.rar.html