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AWS AI for beginners: Amazon Bedrock, RAG, guardrails, prompt caching, AI agents (Strands Agents, AgentCore) and Kiro. Ready-to-run Python examples for a mini-course

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BrightCart: AWS AI examples

python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
aws login
  • config.py: region and model IDs (one place to change them)
  • data/: orders, company docs (RAG, caching), receipt.png
  • genai/: A02-A07 (Amazon Bedrock)
  • agents/: B02-B07 (Strands Agents, AgentCore)

👋 Got the agent code? Here's what comes next.

🧠 The Operating System for Learning Data Science & AI

Turn scattered learning into skills, real projects and a portfolio you can actually show.


Get the Workspace YouTube Instagram



Modules Projects Quiz Deploy


Tutorials teach you a tool. They don't turn into a portfolio, and a pile of bookmarks doesn't turn into a skill set.

The Data Science & AI Workspace is a guided self-study system built in Notion. It takes you from Python foundations to modern AI, and every step ends in something you can build, test and put on GitHub.

Not a course. Not another PDF. A system for learning, practicing and building.


🧩 What's inside

🗺️ Structured roadmap 4 modules, 27 submodules: Python & Data Foundations → Math & Stats → Core Machine Learning → AI & Modern ML. Always know what to learn next.
📚 Curated resources Selected free resources matched to every stage, so you don't waste weeks searching.
🛠️ Practice built in Practical exercises and self-checks throughout, so knowledge turns into ability.
🏗️ 5 capstone projects Substantial projects that combine skills. Put them on GitHub, deploy them, discuss them in interviews.
🎯 Interview quiz simulator 35 questions across 7 topics: Python & Pandas, SQL, Statistics & Probability, Core ML, Model Evaluation, Deep Learning & NLP, Applied Case & Product Sense.
⏱️ Time tracker Make your progress visible and build consistency.
🌑 Dark terminal theme Built for long study sessions.

🔁 The learning loop

Roadmap → Resource → Practice → Project → GitHub

Learn less randomly. Build more intentionally.


🙋 Who it's for

  • Self-learners tired of unfinished courses and scattered tutorials
  • Beginners who want a clear route into data science & AI
  • Anyone who wants projects and proof, not just certificates

🏅 Built by engineers

  • AWS Community Builder
  • Udemy instructor, 1,600+ students

Ready to turn learning into proof?

Start



⭐ If this repo helped you, give it a star. It really helps the channel grow.

About

AWS AI for beginners: Amazon Bedrock, RAG, guardrails, prompt caching, AI agents (Strands Agents, AgentCore) and Kiro. Ready-to-run Python examples for a mini-course

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