vBrownBag vBrownBag

In this episode, join Morgan Willis, Principal Cloud Technologist from AWS, as she guides you through mastering your AWS Cloud skills. 🚀

Chapters

00:00 Introduction 👋
04:00 Why Learn AWS Cloud? 🌥️
07:27 Types of AWS Certifications 📜
22:48 4 Steps for Exam Preparation 📚
29:13 Top Learning Resources 🛠️
51:53 The Importance of Hands-On Practice 🧑‍💻
55:22 General Tips for Success 🥳

Resources:

AWS Certification information: https://aws.amazon.com/certification/

AWS Skill Builder: skillbuilder.aws

AWS courses on Coursera: https://www.coursera.org/aws

Game based learning on AWS Skill Builder: https://www.aboutamazon.com/news/aws/aws-game-training-cloud-skills

AWS Training Live twitch show: https://www.twitch.tv/awstraininglive

AWS Educate: https://www.awseducate.com/

AWS Blogs: https://aws.amazon.com/blogs/

AWS Well-Architected: https://aws.amazon.com/architecture/well-architected/

AWS Prescriptive Guidance: https://aws.amazon.com/prescriptive-guidance/

AWS Cloud Institute: https://aws.amazon.com/training/aws-cloud-institute/

AWS Builder Labs: https://aws.amazon.com/training/digital/aws-builder-labs/

Hands-on tutorials: https://aws.amazon.com/getting-started/hands-on/

AWS Workshops: https://workshops.aws/

AWS Cloud Technical Essentials: https://www.coursera.org/learn/aws-cloud-technical-essentials

AWS Cloud Practitioner Essentials: https://explore.skillbuilder.aws/learn/course/external/view/elearning/134/aws-cloud-practitioner-essentials?lacp=tile&tile=dt

AWS Quick Starts: https://aws.amazon.com/quickstart/

The Amazon Builders Library: https://aws.amazon.com/builders-library/

🔍 Dive into the fascinating world of Generative AI with Du'An Lightfoot, Developer Advocate at AWS. In this episode Du'An provides a comprehensive overview of the cutting-edge technologies shaping our future


💡 Understand the basics of Generative AI, explore the complexities of Retrieval-Augmented Generation (RAGs), and Large Language Models (LLMs). Du'An then takes us through a live demo of AWS Bedrock, showcasing its capabilities and explaining exactly how to leverage the different models and agents.


🧑‍💻 Whether you're a tech enthusiast, a developer eager to expand your AI knowledge, or just curious about the potential of artificial intelligence, this episode is for you! us to discover how Generative AI can enhance your projects and possibly transform your approach to technology.


🚀 Subscribe for more insightful talks and become a part of our tech-savvy community. Hit the bell icon to stay updated with all our latest content. Let's embark on this AI journey together!

Chapters

00:00 Intro
03:14 Generative AI Overview
20:58 AWS Bedrock in action!
39:26 What is Retrieval Augmented Generation (RAG)?
56:36 All the QR codes to learn more!

Join Bruno Schaatsbergen, DevRel Manager at HashiCorp, in this detailed walkthrough of Terraform 1.8's new feature: Provider Defined Functions!


🔍 What you'll learn:


- Introduction to Provider Defined Functions: Discover what Provider Defined Functions are and why they're a game-changer for your DevOps workflows.

- Using Provider Defined Functions: Step-by-step instructions on how to implement these functions within your Terraform configurations.

- Building Your Own Functions: Tips and tricks on crafting custom functions.

Chapters

0:00 - Intro

01:25 - What are they?
4:50 - How to use them!

19:56 - The Terraform Plugin Framework

Star Trek puns incoming! Red Alert!


Join Mark Tinderholt as he captains a journey through the uncharted territories of Azure with Terraform in 'Terraforming Azure: Boldly Going Beyond 'azurerm'. This talk offers an overview of the landscape of Terraforming Azure, including the innovative and lesser-known features available in Azure, showcasing how Terraform can be utilized beyond the traditional 'azurerm' provider. Explore new frontiers in cloud infrastructure and discover how to leverage the expansive Terraform world of Azure.


Chapters:

00:00 - Intro
04:53 - azurerm
08:34 - azuread
12:48 - azurerm_template_deployment
14:39 - azapi
22:32 - Kubernetes & Helm
34:25 - Minecraft!
39:54 - modules

Resources:

https://www.linkedin.com/in/marktinderholt/

GitHub AT-AT Module: https://registry.terraform.io/modules/markti/azure-terraformer/github/latest

Azure DevOps AT-AT Module: https://registry.terraform.io/modules/markti/azure-terraformer/azuredevops/latest

Minecraft Automation Series: https://www.youtube.com/playlist?list=PLsOrrjBMkLaRXWri2EvqLAUKWJI7TH0kH

For almost 10-years now, future-focused datacenter teams have been trying to evolve to more cloud-like operating model. Some of us have succeeded, some of use have failed. During this fun-filled, example-heavy session, Pure Storage Solutions Architect Tristan Todd will share patterns of failure, patterns of success, some practical examples, and recipes for success on how organizations have succeeded in realizing success in adapting to a cloud ops model. And, of course, Tristan will highlight how Pure is helping Customer with real transformation.


Chapters

00:00 - Intro
02:49 - The Problems
08:53 - What are Cloud Service Models
16:46 - Cloud Ops Diagram
20:54 - 5 tenets of Cloud Ops Model success
32:17 - What are vVols?
45:00 - Q&A

Resources:

https://www.slideshare.net/slideshow/vvols-and-your-cloud-operating-model-with-tristan-todd/267115907

Dive into the future of healthcare with AWS Hero Danielle Heberling as she unveils the transformative power of AWS Serverless services in streamlining electronic health records. In this insightful presentation, Danielle sheds light on the previously cumbersome medical record updating process and demonstrates how AWS Serverless tools like Lambda and EventBridge are revolutionizing the way medical assistants manage records. Get ready for a deep dive into the intersection of technology and healthcare efficiency. 🔍 #AWS #Serverless #HealthcareInnovation #EHR #DanielleHeberling #TechTalk


Chapters

;0:00 Intro

2:00 Who is Danielle?
5:30 Disclaimers!
9:33 The Problem
23:43 REST API
26:50 The Sync
43:10 EventBridge Scheduler
48:20 The Future
54:50 Conclusion

Resources:

https://danielleheberling.xyz/

https://github.com/deeheber

https://www.linkedin.com/in/deeheber/