[Builders’ Session] re:Invent 2023 の 67 件の Builders’ Session の一覧リストを作成してみた #AWSreInvent

[Builders’ Session] re:Invent 2023 の 67 件の Builders’ Session の一覧リストを作成してみた #AWSreInvent

Clock Icon2024.01.31

アノテーション テクニカルサポートの川崎です。

先日、Workshop の一覧リストのエントリをアップしました。

Workshop に似た形式のセッションとして、Builders' Session があります。

Workshop は、基本的にセッションの長さが2時間。一方で、Builders' Session は半分の1時間となっています。

それ以外にも違いがあるのですが、違いについてはこちらの記事をご覧ください。

re:Invent 2023 の ポータル で確認すると、Builders' Session は 240件 ありました。

Builders' Session は、ほとんどのセッションが複数回実施されます。 重複を除くと、re:Invent 2023 で実施された Builders' Session は 67件 ありました。

このうち、セルフペースでも実施できる Builders' Session の URL をまとめてみました。

2024年1月31日現在、セルフペースで実施可能な Builders' Session は、当方調べで 12件 ありました。

Builders' Session 一覧

No.   Lv.   セッションコード セッション名 Builders' Session URL セッション資料 GitHub リポジトリ
1 200 AIM219 Learn and experiment with LLMs in Amazon SageMaker Studio Lab English
2 300 AIM329 Build a chat assistant with Amazon Bedrock English repo
3 400 AIM403 Build and train state-of-the-art FMs on Amazon SageMaker
4 300 ANT308 Build large-scale transactional data lakes with Apache Iceberg on AWS
5 300 ANT313 Use data catalogs to improve self-service analytics
6 200 API204 Crafting resilient AWS serverless architectures with toy bricks
7 200 API205 Decoupling your data-driven applications with Amazon EventBridge Pipes
8 200 API211 Extend a video streaming application with Powertools for AWS Lambda
9 300 ARC304 Observability-driven development
10 300 ARC318 Speed deployment of generative AI applications using AWS solutions
11 300 ARC330 Rapidly build a production-ready, full-stack application on AWS
12 300 AUT303 Using generative AI to add objects in model training scenarios in ADDF
13 300 BIZ305 Create a versatile SMS program with Amazon Pinpoint
14 300 BIZ309 How to use your contact center data to optimize workforce performance
15 300 CMP316 Operationalize your AWS Nitro Enclaves–based applications
16 300 CMP325 Fine-tune Hugging Face LLMs using Amazon SageMaker and AWS Trainium
17 300 CMP329 PyTorch best practices for generative AI & LLM inference architectures English
18 300 CON301 Build cost-optimized workloads on Amazon ECS
19 300 CON310 Cloud-native Java on AWS
20 300 CON324 Architecting Amazon ECS workloads for data protection & compliance
21 200 COP211 Simplify your chargeback reporting
22 300 COP309 Monitor end user experience with Amazon CloudWatch
23 300 COP313 Automate incident management of modern workloads using ChatOps
24 300 DAT301 Build and deploy a globally distributed app with Amazon DynamoDB
25 300 DAT306 Improve resilience of database workloads by using chaos engineering English
26 300 DAT307 Perform database updates with Amazon RDS Blue/Green Deployments
27 400 DAT401 Applied data modeling with Amazon DynamoDB
28 300 DOP322 Accelerate data science coding with Amazon CodeWhisperer
29 400 DOP402 Manage dev environments at scale with Amazon CodeCatalyst
30 400 DOP403 Hands-on with Amazon CodeCatalyst: Automating security in CI/CD pipelines
31 300 ENT323 Build for cloud with AWS Migration Hub Refactor Spaces and Backstage
32 400 ENT401 Build a high availability SQL Server failover cluster with Amazon EBS
33 200 EUC210 Automate management of Amazon WorkSpaces and Amazon AppStream 2.0
34 200 EUC213 Optimize Amazon WorkSpaces performance with effective monitoring
35 300 FSI303 Build a generative AI assistant to quickly derive insights and value
36 400 FWM401 Build feature-rich, full-stack apps with AWS Amplify and AWS AppSync
37 300 HLC303 Build complete multimodal analyses for health data
38 200 IMP207 Accelerate mission outcomes with low-code no-code machine learning
39 300 IOT304 Build an automated video monitoring system with AWS IoT and AI/ML English
40 400 LFS401 Building protein language models for life science generative AI
41 300 MFG301 Connect machines and map industrial data at scale using generative AI
42 300 MKT302 Accelerate your ML journey using models and data from AWS Marketplace
43 300 MKT304 Optimize your AWS Marketplace spend with cost analysis and reporting
44 300 NET303 How to manage your network using infrastructure as code English
45 300 NET309 Improve web application performance with serverless edge compute
46 200 NTA206 No-code data lake fast start
47 300 NTA306 Choosing the right AWS media service for your business model
48 300 OPN310 Cedar policy language in action English
49 400 OPN401 Apache Hudi on AWS: Tuning for cost and performance
50 400 PEX402 Secure & observe .NET containerized workloads on Amazon ECS on Fargate repo
51 400 SAS407 Kubernetes DevOps tooling meets SaaS: Automating tenant provisioning
52 300 SEC305 Building effective IAM policies English
53 300 SEC306 Build a security posture leaderboard using AWS Security Hub
54 300 SEC330 Patch it up: Building a vulnerability management solution
55 300 SMB302 Achieving cost transparency for workloads with minimal cost oversight
56 300 STG306 Protect AWS resources with AWS Backup
57 300 STG353 Multicloud and on-premises data transfers at scale with AWS DataSync
58 400 STG401 Automate protection and backup compliance using Amazon EBS snapshots
59 400 STG405 Rightsizing VMware Cloud on AWS compute and storage
60 200 SVS206 Building your first serverless application with AWS SAM English
61 200 SVS207 Creating your first API from scratch with OpenAPI and AWS SAM English
62 200 SVS208 Learn testing patterns for serverless, event-driven applications English
63 200 SVS209 Using generative AI to build a serverless registration app English
64 200 SVS215 Write less code: Building applications with a serverless mindset English
65 300 TLC301 5G intelligent apps and networks with thousands of edge locations
66 300 WPS302 Improve student well-being by building intelligent edtech applications
67 400 WPS401 Building a secure software factory on AWS with the DoD DevSecOps lens

レベル

各セッションのレベルは、次の通りとなります。

  • 100 - Foundational (入門)
  • 200 - Intermediate (中級)
  • 300 - Advanced (上級)
  • 400 - Expert (エキスパート)

AWS のワークショップは楽しい

まだ触れたことがない 新しい AWS サービスのワークショップを見つけるとワクワクしますね!

セルフペースのワークショップは、じっくり時間をかけて取り組めます。

ここで紹介したワークショップや Builders' Session のコンテンツを楽しんでいただき、ご自身やチームのスキルアップに役立てていただけたら幸いです!

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