AWS For Product Teams: Build, Ship & Scale On The Cloud Episodes
Most AWS tutorials teach services. This series teaches you how to build a real product.
Whether you're a Product Manager trying to understand the cloud infrastructure your team runs on — or a developer who wants to move beyond isolated service demos and ship something that actually works end to end — this course is built for both of you.
Every module follows the same format: a PM angle and a Dev angle, so each role gets exactly what they need without sitting through content that doesn't apply to them.
What you'll build:
A production-ready product on AWS — from account setup and architecture decisions through CI/CD pipelines, product analytics, AI-powered features, and full production ownership.
What's covered across 6 modules:
📦 Module 1 — Product Foundation on AWS
Team environment setup, IAM for product teams, cost allocation, and the architecture mindset shift every PM and dev needs.
🏗️ Module 2 — Architecting Your Product
Compute tradeoffs (EC2 vs Lambda vs containers), storage decisions (S3, RDS, DynamoDB), API design, and how PMs and devs align on architecture decisions together.
🚀 Module 3 — Building & Shipping: CI/CD on AWS
CodeCommit, CodeBuild, CodePipeline, environments (dev/staging/prod), feature flags, and how to ship fast without breaking production.
📊 Module 4 — Data, Analytics & Product Intelligence
Instrumentation, Athena, Redshift, QuickSight dashboards, and building the product feedback loop that drives evidence-based decisions.
🤖 Module 5 — AI & ML Features for Your Product
Amazon Bedrock, Rekognition, Comprehend, SageMaker, and how to know when to use pre-built APIs vs. building custom models.
🛡️ Module 6 — Ops, Security & Scaling in Production
CloudWatch, X-Ray, auto scaling, WAF, incident response, and what it actually means to own a product in production.
Who this is for:
✅ Product Managers who want to understand what their engineering team is building on
✅ Developers and engineers who want to build complete products, not just learn isolated services
✅ Startup and SMB teams bootstrapping a production-grade product on AWS
Prerequisites: Some AWS familiarity. No coding background required for the PM track.
Part of the Series of Thoughts educational channel by TechnovativeAI.
Smart AI. Smarter Business. 🌐 technovativeai.com
Tags
AWS
AWS tutorial
AWS for product managers
AWS product development
cloud computing
CI/CD AWS
AWS Lambda
Amazon Bedrock
product management cloud
AWS for developers
AWS CloudWatch
AWS CodePipeline
Series of Thoughts
TechnovativeAI
AWS beginner
product team AWS
build on AWS
AWS SMB
Whether you're a Product Manager trying to understand the cloud infrastructure your team runs on — or a developer who wants to move beyond isolated service demos and ship something that actually works end to end — this course is built for both of you.
Every module follows the same format: a PM angle and a Dev angle, so each role gets exactly what they need without sitting through content that doesn't apply to them.
What you'll build:
A production-ready product on AWS — from account setup and architecture decisions through CI/CD pipelines, product analytics, AI-powered features, and full production ownership.
What's covered across 6 modules:
📦 Module 1 — Product Foundation on AWS
Team environment setup, IAM for product teams, cost allocation, and the architecture mindset shift every PM and dev needs.
🏗️ Module 2 — Architecting Your Product
Compute tradeoffs (EC2 vs Lambda vs containers), storage decisions (S3, RDS, DynamoDB), API design, and how PMs and devs align on architecture decisions together.
🚀 Module 3 — Building & Shipping: CI/CD on AWS
CodeCommit, CodeBuild, CodePipeline, environments (dev/staging/prod), feature flags, and how to ship fast without breaking production.
📊 Module 4 — Data, Analytics & Product Intelligence
Instrumentation, Athena, Redshift, QuickSight dashboards, and building the product feedback loop that drives evidence-based decisions.
🤖 Module 5 — AI & ML Features for Your Product
Amazon Bedrock, Rekognition, Comprehend, SageMaker, and how to know when to use pre-built APIs vs. building custom models.
🛡️ Module 6 — Ops, Security & Scaling in Production
CloudWatch, X-Ray, auto scaling, WAF, incident response, and what it actually means to own a product in production.
Who this is for:
✅ Product Managers who want to understand what their engineering team is building on
✅ Developers and engineers who want to build complete products, not just learn isolated services
✅ Startup and SMB teams bootstrapping a production-grade product on AWS
Prerequisites: Some AWS familiarity. No coding background required for the PM track.
Part of the Series of Thoughts educational channel by TechnovativeAI.
Smart AI. Smarter Business. 🌐 technovativeai.com
Tags
AWS
AWS tutorial
AWS for product managers
AWS product development
cloud computing
CI/CD AWS
AWS Lambda
Amazon Bedrock
product management cloud
AWS for developers
AWS CloudWatch
AWS CodePipeline
Series of Thoughts
TechnovativeAI
AWS beginner
product team AWS
build on AWS
AWS SMB
May 28, 2026
AWS for Product Teams: The Complete Product Journey on AWS | Course Overview
https://youtube.com/playlist?list=PLAF4GnLQ35DmHMLgD0uuN2fk4PdU_LoDT&si=UJ4BgzHSiJAUkPAn Most AWS courses teach services. This series teaches you how to build a product. In this overview episode of AWS for Product Teams, we introduce a complete end-to-end system for: Product Managers Developers Founders Technical leaders and modern SaaS teams Who want to design, build, ship, scale, and operate real products on AWS together. This isn’t: isolated tutorials disconnected demos or “hello world...
May 28, 2026
Production Ownership: The Mindset That Makes Products Last | AWS for Product Teams M6E5
Shipping features is only half the job. The teams that build lasting products are the ones who own what they ship: in production under load during incidents and at 2 a.m. on a holiday weekend. In Module 6, Episode 5 of AWS for Product Teams, we break down the operational mindset, engineering discipline, and AWS tooling that separate: 🔥 teams that merely deploy software from 🔥 teams that reliably operate products at scale This episode connects: observability reliability on-call culture disas...
May 27, 2026
Incident Response for Product Teams | AWS for Product Teams M6E4
The true test of a product team is not launch day. It’s 3:07am during a Sev-1 outage. In Module 6, Episode 4 of AWS for Product Teams, we break down how modern SaaS teams handle incidents under pressure using: CloudWatch Alarms SNS PagerDuty OpsCenter CloudTrail AWS Health Dashboard Incident Runbooks Because production incidents are not just technical failures. They are: communication challenges trust challenges operational challenges and leadership challenges This episode focuses on the ...
May 26, 2026
AWS WAF & Security Best Practices in Production | AWS for Product Teams M6:E3
Security is not a pre-launch checklist. It is a continuous operational discipline. In Module 6, Episode 3 of AWS for Product Teams, we break down how modern product teams secure production systems using: AWS WAF AWS Shield AWS Security Hub GuardDuty Inspector Macie CloudTrail Because the cost of a security incident isn’t just technical. It impacts: user trust roadmap velocity engineering focus compliance exposure and long-term brand reputation This episode bridges: 👤 Product leadership r...
May 25, 2026
Auto Scaling & Load Balancing: Built for Growth | AWS for Product Teams M6E2
The real test of your architecture isn’t normal traffic. It’s what happens when: your launch succeeds your product goes viral your campaign works or thousands of users arrive all at once. In Module 6, Episode 2 of AWS for Product Teams, we break down how modern AWS systems scale in production using: Application Load Balancers (ALB) EC2 Auto Scaling Groups Lambda concurrency controls CloudWatch scaling triggers Load testing methodologies Because scalable systems aren’t built by accident. Th...
May 24, 2026
CloudWatch & X-Ray: Observability for Product Teams | AWS for Product Teams M6E1
You cannot operate what you cannot observe. In Module 6, Episode 1 of AWS for Product Teams, we break down how modern product teams build real production observability using: Amazon CloudWatch AWS X-Ray ServiceLens Structured Logging Distributed Tracing SLO-driven monitoring Because scaling a product isn’t just about shipping features. It’s about knowing: when systems degrade why users are frustrated where latency originates and how to respond before incidents become outages This episode b...
May 23, 2026
Real AI Product Features End-to-End | AWS for Product Teams M5:E5
Most AI demos look impressive for five minutes. Production AI products are different. They require: measurable outcomes evaluation systems observability hybrid architectures and relentless iteration after launch In Module 5, Episode 5 of AWS for Product Teams, we walk through three real-world AI product features from initial scoping all the way to production deployment and iteration. This episode bridges: 👤 Product strategy 💻 Engineering implementation 📊 Evaluation metrics ☁️ AWS architect...
May 21, 2026
Connecting AI to Your Product Workflow | AWS for Product Teams M5E4
Most AI product features fail for one reason: They’re treated like magic tricks instead of workflow systems. In Module 5, Episode 4 of AWS for Product Teams, we break down how to integrate AI into real production workflows using an event-driven AWS architecture that actually scales. This episode focuses on: async AI enrichment pipelines workflow automation event-driven architectures product trust systems and measurable business outcomes Because the strongest AI features don’t interrupt work...
May 20, 2026
Amazon SageMaker: When to Go Custom with AI | AWS for Product Teams M5E3
Most product teams should not start with custom machine learning. But eventually… some teams hit a wall where: pre-built APIs stop improving proprietary data becomes a competitive moat and AI accuracy becomes a business-critical differentiator That’s when custom ML starts making sense. In Module 5, Episode 3 of AWS for Product Teams, we break down: the real build-vs-buy framework for AI the honest ROI math behind custom ML and a practical walkthrough of Amazon SageMaker Studio Without the ...
May 19, 2026
Rekognition & Comprehend: AI Without the ML | AWS for Product Teams M5:E2
Most AI product features do not require a custom model, a data science team, or months of ML infrastructure work. In Module 5, Episode 2 of AWS for Product Teams, we break down how to build production-ready AI features using: Amazon Rekognition Amazon Comprehend AWS Lambda SQS DynamoDB Without training a single model. This episode focuses on the fastest path from: 👉 idea → working AI feature → production deployment Using AWS’s pre-built AI APIs. 🚀 What You’ll Learn 👤 PM Perspective Why pre...
May 18, 2026
Amazon Bedrock: Adding Generative AI to Your Product | AWS for Product Teams M5:E1
Adding AI to your product is easy. Adding the right AI feature for the right reason? That’s the hard part. In Module 5, Episode 1 of AWS for Product Teams, we break down how to build production-grade generative AI features using Amazon Bedrock — without managing GPUs, model infrastructure, or ML pipelines. This episode is designed for: 👤 Product Managers evaluating whether AI actually belongs on the roadmap 💻 Developers integrating Bedrock into real AWS architectures Because modern product ...
May 17, 2026
Building the Product Feedback Loop on AWS | AWS for Product Teams M4E5
The best product teams don’t wait for quarterly reviews to discover problems. They build systems that surface signals automatically. In Module 4, Episode 5 of AWS for Product Teams, we break down how to create a modern, automated product feedback loop using AWS services that connect: metrics alarms dashboards experiments alerts and product decisions Into one continuous operating system for your product team. 🚀 What You’ll Learn 👤 PM Perspective How mature product teams turn data into decisi...
May 17, 2026
QuickSight Dashboards for Product Teams | AWS for Product Teams M4E4
A dashboard nobody checks isn’t a dashboard. It’s a monument to good intentions. In Module 4, Episode 4 of AWS for Product Teams, we break down how to build AWS QuickSight dashboards that product teams actually use. This episode focuses on: actionable metrics self-serve analytics sprint review dashboards drill-down reporting and the engineering architecture that keeps everything fast, automated, and reliable Because the goal isn’t to build more dashboards. The goal is to build dashboards t...
May 16, 2026
Athena & Redshift: Querying Your Product Data | AWS for Product Teams M4E3
Your product already contains answers. The real challenge is building a system that lets your team find them quickly, cheaply, and at scale. In Module 4, Episode 3 of AWS for Product Teams, we break down how modern product teams can build a powerful AWS analytics stack using: Amazon S3 AWS Glue Amazon Athena Amazon Redshift AWS Lake Formation This episode bridges the gap between: product questions analytics workflows and scalable cloud architecture Without forcing your team into expensive i...
May 15, 2026
Instrumenting Your Product: Events, Metrics & Logs | AWS for Product Teams M4E2
If you didn’t instrument your product correctly at launch… that missing data is gone forever. In Module 4, Episode 2 of AWS for Product Teams, we break down one of the highest-leverage capabilities in modern software products: 🚀 Product Instrumentation on AWS This episode teaches product managers and developers how to build a scalable instrumentation strategy using: Events Metrics Logs CloudWatch Kinesis EventBridge Because the teams that measure correctly: improve faster debug faster lear...
May 14, 2026
Choosing Your Data Store: A PM’s Framework | AWS for Product Teams M4E1
The database decision your team makes in month one can quietly shape your product roadmap for years. In Module 4, Episode 1 of AWS for Product Teams, we break down how product managers and developers should think about one of the most important architecture decisions in modern SaaS: 🚀 Choosing the Right Data Store on AWS This episode goes beyond “SQL vs NoSQL.” Instead, we introduce a practical framework for evaluating: access patterns consistency requirements cost at scale and future flexi...
May 14, 2026
Feature Flags & Safe Releases with AWS AppConfig | AWS for Product Teams M3E5
Most product teams think shipping code and releasing features are the same thing. They’re not. In Module 3, Episode 5 of AWS for Product Teams, we break down one of the most important modern product delivery concepts: 🚀 Feature Flags + Safe Releases with AWS AppConfig This episode shows how elite product teams: deploy continuously release deliberately experiment safely and rollback instantly without redeploying code Using AWS AppConfig, we demonstrate how to decouple deployment from releas...
May 13, 2026
Dev vs Staging vs Production: Why Your Environments Are Lying to You | AWS for Product Teams M3E4
“If staging doesn’t look like production… staging is lying to you.” And when that happens, your product pays the price. In Module 3, Episode 4 of AWS for Product Teams, we break down how to properly structure Dev, Staging, and Production environments on AWS so your team can ship with confidence — not hope. This isn’t just an infrastructure topic. It’s a product quality system. 🚀 What You’ll Learn 👤 PM Perspective Why environment parity is a product decision, not just an engineering concern H...
May 12, 2026
AWS CodePipeline: Continuous Delivery End to End | AWS for Product Teams M3E3
Making releases predictable, automated, and smooth is the goal of any modern product team. In Module 3, Episode 3 of AWS for Product Teams, we show you how to wire together an end-to-end CI/CD pipeline using AWS CodePipeline. This episode covers: Source → Build → Test → Deploy → Production Automating your release process while keeping humans in the loop for approvals Continuous Delivery best practices to ship confidently and consistently Designed for both: 👤 Product Managers – Understand pip...
May 11, 2026
AWS CodeBuild: Automated Testing & CI/CD Pipelines for Product Teams | M3E2
Shipping software reliably and fast requires more than just writing code—it requires automation, testing, and alignment across your product team. In Module 3, Episode 2 of AWS for Product Teams, we break down AWS CodeBuild and how to implement automated testing as part of your CI/CD pipeline. Learn how to: Automate builds and tests to catch issues early Integrate source control with AWS CodeCommit or GitHub Deploy confidently to AWS environments with minimal errors Align PMs and Devs on testi...
May 11, 2026
Building & Shipping CI/CD on AWS | AWS for Product Teams M3:E1
Shipping software fast without breaking production is hard. In Module 3, Episode 1 of AWS for Product Teams, we show how to build a production-ready CI/CD pipeline on AWS that aligns PMs and developers, reduces risk, and accelerates delivery. This episode is designed for both: 👤 Product Managers – understand branching strategies, release cadence, and how source control affects product outcomes 💻 Developers – implement automated pipelines using AWS CodeCommit, CodePipeline, and deploy with rep...
May 9, 2026
PM & Dev Alignment on AWS: How Great Product Teams Make Better Architecture Decisions M2:E5
Most product delays are not caused by bad engineers. And most architecture failures are not caused by bad product managers. They happen because: 👉 PMs and Developers are solving different problems without shared context. In Module 2, Episode 5 of AWS for Product Teams, we break down one of the highest-leverage skills in modern product development: 🚀 PM + Dev Alignment Through Architecture Reviews This episode shows how strong product teams: surface hidden risks early align before implement...
May 9, 2026
Architecture Decision Records (ADRs) Explained: The Missing System for Product Teams on AWS, M2E4
hy do engineering teams keep repeating the same architecture debates? Why does every new engineer eventually ask: “Why was this built this way?” And why do incidents become exponentially harder when the people who made the original decisions are gone? In Module 2, Episode 4 of AWS for Product Teams, we break down one of the most underrated practices in modern software architecture: 👉 Architecture Decision Records (ADRs) This episode shows product managers and developers how to create light...
May 8, 2026
API Gateway vs Lambda vs ALB: AWS API Architecture Explained for Product Teams M2E3
Your API architecture decisions become product decisions faster than most teams realize. In Module 2, Episode 3 of AWS for Product Teams, we break down one of the most important architecture conversations in modern cloud systems: When should you use API Gateway? When is Lambda the right backend pattern? What role does an Application Load Balancer (ALB) actually play? And when should your architecture move from synchronous APIs to event-driven systems? This episode is designed for both: 👤 Prod...