Full Stack Generative AI with AWS & React | Comprehensive

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Rupesh Tiwari

1:33:48

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1. Introduction and Setup - Deploying Stable Diffusion Model in SageMaker Domain

1. Introduction to AWS Generative AI Full Stack App with Stable Diffusion.mp4

02:55

2. Creating Amazon SageMaker Domain.mp4

00:45

3. Deploying Stable Diffusion Model in SageMaker Endpoint.mp4

01:24

4. Multiple Choices.html

5. Setting up the Development Environment.html

2. App Architecture and Flow - Understanding Stable Diffusion App Architecture

1. Explaining Stable Diffusion App Architecture Diagram.mp4

03:20

2. Explaining Flow Diagram for Stable Diffusion Architecture.mp4

02:04

3. Multiple Choices.html

4. Understanding Stable Diffusion App Architecture.html

3. Backend Development - Creating and Deploying AWS Lambda Functions

1. Creating and Testing AWS Lambda Function.mp4

01:22

2. Assigning Execution Role to AWS Lambda Function.mp4

02:13

3. Creating S3 Bucket and Updating Lambda Environment Variables.mp4

02:38

4. Writing Python Code in AWS Lambda to Fetch Image.mp4

06:26

5. Creating and Using AWS Lambda Layers.mp4

05:46

6. Testing and Deploying AWS Lambda Function.mp4

02:25

7. Multiple Choices.html

8. Testing and Deploying AWS Lambda Function.html

9. Write a Python function called fetch_image_from_s3 that takes in the name of an image..html

10. Section 3 Practice Test Backend Development - Creating and Deploying AWS Lambda.html

4. API Gateway Integration - Seamless Integration with Amazon API Gateway

1. Creating a REST API in Amazon API Gateway.mp4

02:06

2. Integrating AWS Lambda with Amazon API Gateway.mp4

02:16

3. Invoke Amazon API Gateway Locally using POSTMAN.mp4

02:09

4. Invoke Amazon API Gateway Locally using AWS Console.mp4

01:30

5. API Gateway Integration - Seamless Integration with Amazon API Gateway.html

5. Frontend Development - Building a React Web App and CICD Pipeline

1. Creating React Web App.mp4

01:53

2. Initializing Git And Pushing Code to GitHub.mp4

02:36

3. Configuring CICD Pipeline in AWS Amplify with GitHub.mp4

03:31

4. Demo CICD with GitHub And AWS Amplify.mp4

01:58

5. Updating React App for Prompt Input.mp4

01:30

6. Creating a React Web App.html

7. Initializing Git And Pushing Code to GitHub.html

8. Configuring CICD Pipeline in AWS Amplify with GitHub.html

6. Security and Error Handling - Implementing Security and Resolving CORS Errors

1. Adding Middleware Proxy in React App React Security.mp4

05:45

2. Validating CORS Error on AWS Amplify Fixing CORS in React JS.mp4

00:59

3. Fixing CORS Error and Running Gen AI Successfully in AWS.mp4

03:31

4. Multiple Choices.html

7. Responsive Design and Mobile App Conversion - Responsive UI and Mobile App

1. React App Responsive with React Bootstrap.mp4

06:06

2. Introduction to Capacitor & Ionic Convert React Web to Native Mobile App.mp4

03:26

3. Installing Android Studio for React to Android.mp4

07:57

4. Converting React JS App to Android App with Capacitor.mp4

05:47

5. Multiple Choices.html

8. Finalization and Next Steps - Managing GitHub Repo and Future Enhancements

1. GitHub Repo Management Issues, Pull Requests And Merge.mp4

02:17

2. Next Steps in Full Stack Generative AI Challenge Yourself, Expand Your Skills.mp4

07:13

3. Multiple Choices.html

Description

Building a Full Stack Generative AI Web Application & Android App with AWS and React JS | Hands-On Tutorial Series

What You'll Learn?

Build Full Stack Generative AI Web Apps: Develop applications using AWS, React JS, and Generative AI for image generation from text inputs.
Configure CI/CD Pipeline with AWS Amplify and GitHub: Automate build, test, and deployment processes using Amplify and GitHub.
Enhance User Experience and UI: Improve UI with prompt input, dynamic image rendering, and responsive design using React JS and Bootstrap.
Convert Web App to Native Mobile: Convert React JS apps to native Android using Capacitor and Ionic for seamless mobile experiences.
Implement Advanced AI Techniques: Explore stable diffusion models and deep learning architectures for enhanced generative AI.
Solve CORS Errors & Ensure Security: Address CORS errors & implement security measures for data protection.
Effective GitHub Repository Management: Master handling issues, pull requests & version control for collaborative development.
Optimize App Performance & Deployment: Learn techniques to optimize performance & deploy apps using AWS services.
Apply DevOps Principles in Full Stack Dev: Streamline workflow with infrastructure as code, automation, CI/CD.
Mobile App Publishing & Distribution: Publish & distribute native mobile apps for maximum user reach.

Who is this for?

Beginner to intermediate developers: Learn Full Stack Generative AI app development with AWS & React.

AWS learners: Explore AWS services for AI-driven web development and Generative AI.

React web developers: Integrate React JS with Generative AI models and AWS infrastructure.

Full Stack developers: Enhance skills in building end-to-end applications with Generative AI capabilities.

AWS Solutions Architects & Customer Engineers: Deepen expertise in Full Stack Generative AI implementation.

Technical Account Managers & Support Engineers: Gain practical knowledge in supporting Full Stack Generative AI solutions.

What You Need to Know?

No prerequisites? No problem! This course is designed to be beginner-friendly, providing a welcoming environment for learners of all levels. Join us and embark on an exciting learning journey!

Basic programming knowledge: Prior understanding of programming concepts is helpful but not required. We'll explain the code as we go along.

Familiarity with web development: Basic knowledge of HTML, CSS, and JavaScript will ease your learning experience, but we'll cover the necessary concepts.

Curiosity and eagerness to learn: The most important requirement is a passion for learning and exploring generative AI and full stack development.

Access to a computer: You'll need a computer or laptop with internet access to follow along with coding exercises and access the necessary tools.

More details

Description
Welcome to the comprehensive Full Stack Generative AI course, where you'll embark on an exciting journey to explore the captivating world of generative artificial intelligence (AI) and learn how to build cutting-edge applications using the powerful combination of AWS and React.

Level up your skills and become a proficient full stack developer in the fascinating field of generative AI. In this course, we'll dive deep into key concepts and techniques, providing you with hands-on experience in training and deploying mind-blowing generative models using AWS services like Amazon SageMaker. Get ready to unlock the art of generating stunning images, mesmerizing music, and captivating text using state-of-the-art AI models like GANs and transformers.

The journey doesn't end there! We'll guide you through building a mind-boggling full stack application that harnesses the immense power of generative AI. Discover how to develop the rock-solid backend using AWS Lambda, API Gateway, and DynamoDB to handle data processing, storage, and seamless API interactions. On the frontend, we'll unleash the magic of React to craft a dazzling user interface that showcases the awe-inspiring generated content.

But wait, there's more! As a extra, this course includes two extra sections that take you above and beyond the core curriculum. In Section 7, you'll uncover the secrets of responsive UI design, mastering the art of creating web applications that adapt flawlessly to every screen size and device. And in Section 8, we'll drop a tantalizing hint about something special... Let's just say it involves diving into the realm of mobile app development using React Native to bring your generative AI creations to Android devices.

By the grand finale of this comprehensive course, you'll have built an enviable foundation in full stack generative AI development, equipped with the prowess to create awe-inspiring applications that effortlessly produce remarkable art, enchanting music, and captivating text using cutting-edge AI models. With the power of the extra sections, including the Android mobile app hint, you'll be ready to expand your generative AI masterpieces to the palm of your hand.

Are you ready to ignite your creativity and unleash the limitless potential of Full Stack Generative AI? Join now and embark on this thrilling adventure, where you'll combine the forces of generative AI, AWS, and React to conquer new frontiers of innovation. Enroll today and unlock the full power of Full Stack Generative AI!

Note: Sections 7 and 8 are extra sections that elevate your skills beyond the core curriculum. Section 8 holds a special surprise hint about diving into the world of mobile app development using React Native, enabling you to extend your generative AI projects to Android devices. These captivating extras delve into the realm of responsive UI design and empower you to craft magnificent mobile apps, taking your full stack generative AI projects to unparalleled heights of brilliance.
Who this course is for:
Beginner to intermediate developers: Learn Full Stack Generative AI app development with AWS & React.
AWS learners: Explore AWS services for AI-driven web development and Generative AI.
React web developers: Integrate React JS with Generative AI models and AWS infrastructure.
Full Stack developers: Enhance skills in building end-to-end applications with Generative AI capabilities.
AWS Solutions Architects & Customer Engineers: Deepen expertise in Full Stack Generative AI implementation.
Technical Account Managers & Support Engineers: Gain practical knowledge in supporting Full Stack Generative AI solutions.

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Hi, I am a Senior Solutions Architect. I am also a professional trainer, Pluralsight author, speaker, blogger, and YouTuber. I am passionate about problem solving and learning modern technologies. I help students and professionals to become Full Stack Software Developer in less than a year! I am the founder of Full stack master.

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