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AWS: Predicting Stock Prices Using AI & NO CODE!
AWS, Artificial Intelligence, Machine Learning Brian H. Hough AWS, Artificial Intelligence, Machine Learning Brian H. Hough

AWS: Predicting Stock Prices Using AI & NO CODE!

Get started building with Artificial Intelligence & Machine Learning on Amazon Web Services (AWS) without writing a single line of code! Dive into this exciting video series where we explore the possibility of predicting stock market prices with no code! Build alongside AWS Community Builder Brian H. Hough as he walks you through AWS Developer Advocate, Victoria Semaanโ€™s blog post for this project on community.aws, where we will harness powerful tools like Amazon SageMaker Canvas, Amazon QuickSight, and Amazon S3. Whether youโ€™re an ML enthusiast or someone curious about stock market predictions, this series is a must-watchโ€ฆ

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Turn Your AI Model into a Real Product (Amazon SageMaker, API Gateway, AWS Lambda, Next.js, Python)

Turn Your AI Model into a Real Product (Amazon SageMaker, API Gateway, AWS Lambda, Next.js, Python)

Wondering how to turn your Amazon SageMaker AI model into a real product? Whether youโ€™re deploying the model to Amazon SageMaker, Google CoLab, or some other hosting platform, I have felt that it has been rather confusing or nebulous at best to understand how to get the model โ€œout of the cloudโ€ and into a real application that you or your users could use. Together, weโ€™ll call a deployed Large Language Model on SageMaker, LLaMA 2 with our own LLaMA Chat application (a ChatGPT clone) to show you how a real application could connect directly to a modelโ€ฆ

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Launch your own LLM (Deploy LLaMA 2 on Amazon SageMaker with Hugging Face Deep Learning Containers)
AWS, Artificial Intelligence, Machine Learning Brian H. Hough AWS, Artificial Intelligence, Machine Learning Brian H. Hough

Launch your own LLM (Deploy LLaMA 2 on Amazon SageMaker with Hugging Face Deep Learning Containers)

Want to deploy your own Large Language Model that's smarter than ChatGPT? ๐Ÿค”๐Ÿ’ญ In this exciting Tech Stack Playbookยฎ tutorial, we'll walk through how to deploy Meta AI's LLaMA 2 LLM on Amazon SageMaker using Hugging Face Deep Learning Containers (DLCs) and Python. One of the most requested topics I've been asked about this year is how to build and deploy AI/ML systems. In under 2 hours, this video will dive into all things LLMs and the most cutting edge MLOps infrastructure available to use on the internet. We will be using Hugging Face Deep Learning Containers, Amazon SageMaker, and Python to work with the model, make prompts, and work with an endpoint for model. If you've ever wondered how systems like ChatGPT work behind the scenes, then this video is for you!โ€ฆ

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Road to re:Invent: Our 1st Tech Conference (AWS All Builders Welcome Grant)
AWS, Career Brian H. Hough AWS, Career Brian H. Hough

Road to re:Invent: Our 1st Tech Conference (AWS All Builders Welcome Grant)

In this Tech Stack Playbookยฎ CHATS, I'll be joined by 4 amazing guests to deep dive into all of the excitement around one of AWS' most incredible programs available to early career and underrepresented builders: the AWS All Builders Welcome Grant. Here's what's on tap: Why we wanted to apply for the AWS ABW Grant program, What attending our first global tech conference was like, What we thought re:Invent would be like vs. the reality, Top highlights from AWS re:Invent, Our favorite keynotes and sessions, Application tips for those thinking of applying, and Why you should apply.

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AWS x Valorant Champions
AWS, DevOps Brian H. Hough AWS, DevOps Brian H. Hough

AWS x Valorant Champions

Super excited to be bringing you all behind-the-scenes of Valorant Champions this week with Riot Games x Amazon Web Services (AWS)! Last night at the kickoff, we learned a lot today about how Riot Games scaled Valorant across many technical challenges including: scaling a global gaming ecosystem as an ISP / internet network, optimizing for 35ms latency for users around the world, migrating an on-premise server system to the cloud to utilize highly responsive technologies, and solving for the โ€œpeekerโ€™s advantageโ€ issue where users with faster internet systems could work faster than users affected by lower bandwidth/latencyโ€ฆ

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AWS NYC Summit 2023 Talk: Scaling Event-Driven Architectures with Serverless Micropayments (DevChat)
AWS, Serverless, Infrastructure as Code Brian H. Hough AWS, Serverless, Infrastructure as Code Brian H. Hough

AWS NYC Summit 2023 Talk: Scaling Event-Driven Architectures with Serverless Micropayments (DevChat)

At the AWS NYC Summit 2023, I delivered a 30 minute DevChat to ~200 attendees on how I built an event-driven serverless micropayments system on Amazon Web Services (AWS) for The Capital Platform. In my talk, I discuss: Cases for serverless vs. serverful architectures, How I used LLMs (OpenAI, Google Bard, and Hugging Face) while building, How I built our serverless payments architectures with Stripe and many AWS services, and What our multi-table database design looks like with DynamoDB. Serverless is more than "just Lambda," and this approach, combined with our Infrastructure as Code (Iac) pipeline, has allowed us to stand up features, front-end-to-back-end, with robust autoscaling and updatable configurations, like paymentsโ€ฆ

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Builders Sesh with AWS Community Builders (Sully Martinez & Olumuyiwa Kolayemi)
AWS, Career Brian H. Hough AWS, Career Brian H. Hough

Builders Sesh with AWS Community Builders (Sully Martinez & Olumuyiwa Kolayemi)

On the Tech Stack Playbook today, I'm going live with 2 of my favorite builders, Sully Martinez & Olumuyiwa Kolayemi, to talk about tech, life, building on AWS, and what we've been up to. We are all AWS Community Builders across different categories, and we're going to be discussing how the program has helped us personally, professionally, and as builders in tech. We'll also be talking about how we got started building in the cloud, and what areas of tech we are most excited about, what we are planning on building next, and moreโ€ฆ

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freeCodeCamp: Full-Stack Next.js, TypeScript, and AWS Course โ€“ Code a Quote Generator

freeCodeCamp: Full-Stack Next.js, TypeScript, and AWS Course โ€“ Code a Quote Generator

In my 6-hour freeCodeCamp course, learn how to use Next.js, TypeScript, and AWS Amplify to build a full stack inspirational quote generator app. You'll learn to use the ZenQuotes' API for fetching quotes and then you'll deep into state management, hooks, debugging, NoSQL database modeling, and much moreโ€ฆ

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Stacking Serverless Data Structures for a Pomodoro App on AWS
AWS, Full-Stack, Infrastructure as Code Brian H. Hough AWS, Full-Stack, Infrastructure as Code Brian H. Hough

Stacking Serverless Data Structures for a Pomodoro App on AWS

Figuring out numeric sort querying using GraphQL of NoSQL DynamoDB data. This was probably the hardest step for me in this project because at the highest level, when you are running a data stream with chaining, you affect one item and it means you must alter the other elements in the chain accordingly. TL;DR: you edit one item, so you must edit the others accordinglyโ€ฆ

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Wrangling GraphQL Data Schemas with AWS AppSync
AWS, Full-Stack, Infrastructure as Code Brian H. Hough AWS, Full-Stack, Infrastructure as Code Brian H. Hough

Wrangling GraphQL Data Schemas with AWS AppSync

AppSync will help you auto-build your queries and mutations based on the schema you define in your schema.graphql file. Not only does this reduce the possibility of errors in production, but it also increases your ability to turn code around faster with code generation (codegen) and auto-build sequences to configure the database, storage, and authentication privileges in the cloud based on your API endpoint in a matter of minutes. So what happens if you come across an issue where you don't see the /graphql folder in your applicationโ€ฆ

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Build an Inspirational Quote Generator (AWS, NextJS, TypeScript, NodeJS) - 6 HOUR CLOUD PROJECT!
AWS, Full-Stack, Infrastructure as Code Brian H. Hough AWS, Full-Stack, Infrastructure as Code Brian H. Hough

Build an Inspirational Quote Generator (AWS, NextJS, TypeScript, NodeJS) - 6 HOUR CLOUD PROJECT!

In this epic build, we're going to create a completely serverless quote generator using AWS as our cloud back-end and NextJS/TypeScript as our front-end. What you'll learn in this build is how to: Build a ~cool~ front-end for a quote generator, Write a script to fetch a random inspirational quote from ZenQuotes' API, Use AWS to generate a quote graphic for you in the cloud & then let you download the file, and Deploy liveโ€ฆ

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AWS re:Invent 2022 Talk: "Become a Full-Stack Developer: Migrating my company from GCP to AWS"
AWS, DevOps, Serverless, Infrastructure as Code Brian H. Hough AWS, DevOps, Serverless, Infrastructure as Code Brian H. Hough

AWS re:Invent 2022 Talk: "Become a Full-Stack Developer: Migrating my company from GCP to AWS"

At AWS re:Invent 2022, I delivered a 30 minute DevChat on how to become a full-stack developer through the lens of migrating my company from Google Cloud Platform (GCP) to Amazon Web Services (AWS). If you've ever... wanted to build serverless apps, wanted to start your developer journey, wanted to become a full-stack developer, or wanted an excuse to start building something on your mind... then this 30-minute talk is for youโ€ฆ

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AWS Amplify CLI Installation Guide (M1/M2 2022 Mac Edition)
AWS, DevOps, Infrastructure as Code Brian H. Hough AWS, DevOps, Infrastructure as Code Brian H. Hough

AWS Amplify CLI Installation Guide (M1/M2 2022 Mac Edition)

I ran into a core issue where I needed to use sudo in front of all of the AWS Amplify CLI commands, which meant I would have to put in my password EVERY SINGLE TIME I ran amplify something. I hope that this guide helps you get up and running with AWS Amplify, especially if you run into the Error: EACCES: permission denied errors that I ran intoโ€ฆ

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Learn how to Dynamically Add App Features with AWS AppConfig Feature Flags (+ Linux 101)
AWS, DevOps, Linux, JavaScript Brian H. Hough AWS, DevOps, Linux, JavaScript Brian H. Hough

Learn how to Dynamically Add App Features with AWS AppConfig Feature Flags (+ Linux 101)

In this blog post, I'll go through the workshop, the code I used to run everything, screenshots of the deployment process, and I will also go through how to use Linux and an Amazon EC2 instance to deploy all of the code in a VM (virtual machine). What we will build is a simple Airbnb-for-Cribs home rental application and switch in an image viewer carousel for each listed home via AWS AppConfig. Here's what it will look like (unfortunately, IRL mansions are not included)โ€ฆ

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Recapping AWS re:Invent 2021
AWS, Career Brian H. Hough AWS, Career Brian H. Hough

Recapping AWS re:Invent 2021

Join us for a casual, fun, vibey chat where we break down all of the excitement of AWS Re:Invent 2021, the announcements, the workshops, the sessions, and everything we're excited about going into 2022 ๐Ÿคฉ For this Tech Stack Playbook CHAT, I'm joined by fellow AWS Community Builders Diamond Jorsling-Purvis (@EngineeredCurlz) and Lou Bichard (@OpenUpTheCloud) and Andrew Brown (@AndrewBrown), along with AWS & cloud engineers Taruna Mangar (@TarunaMangar), Sully Martinez (SullyMartinez7), and Matt Morgan (@NullishCoalesce)โ€ฆ

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AWS Just Announced that the Future is Serverless at re:Invent โ€” Day 3
AWS, DevOps, Serverless Brian H. Hough AWS, DevOps, Serverless Brian H. Hough

AWS Just Announced that the Future is Serverless at re:Invent โ€” Day 3

We just wrapped up Day 3 of Amazon Web Services (AWS) re:Invent and there were a ton of announcements! AWS CEO Adam Selipsky delivered the opening keynote and announced a number of exciting updates and announcements, including Amazon Private 5G (imagine building your own 5G network - how cool is that?!)...Amazon SageMaker Canvas for low-code machine learning in the cloud...and a great analysis of what a modern data strategy looks likeโ€ฆ

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I built an AI-Powered Image Processor at AWS re:Invent ๐Ÿ˜ฑ - Day 2
AWS, DevOps, Artificial Intelligence Brian H. Hough AWS, DevOps, Artificial Intelligence Brian H. Hough

I built an AI-Powered Image Processor at AWS re:Invent ๐Ÿ˜ฑ - Day 2

Just wrapped up Day 2 of Amazon Web Services (AWS) re:Invent and from the Midnight Madness concert, to building an AI-Powered Image Processor during Talia Nassi's workshop, to catching up with Adrienne Tacke from MongoDB, and even building an AI-Powered image processing application. There is a TON going on Vegas!โ€ฆ

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How to Build Serverless Workflows with AWS Step Functions and AWS Lambda Functions
AWS, DevOps, Full-Stack, Serverless Brian H. Hough AWS, DevOps, Full-Stack, Serverless Brian H. Hough

How to Build Serverless Workflows with AWS Step Functions and AWS Lambda Functions

Gone are the days where you'd have to spin up physical servers with your own hardware and maintain it to build and run your own apps. Thanks to the AWS serverless suite of tools, we can now run full-stack applications, and even functions and compute power, right from the cloud. Today, we're going to be building a full-stack serverless Age Sorting Application. We'll discuss how to use various AWS tools, such as API Gateway, AWS Step Functions, AWS Lambda Functions, and connect them to a ReactJS front-end user interface so that we can take in user inputs and algorithmically filter the input based on what we tell the code to look forโ€ฆ

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