MigoMindPractical AI & Cloud Skills

AWS

Amazon Web Services (AWS)

Build AWS cloud fundamentals for AI workloads, then practice secure Amazon Bedrock application design, retrieval, evaluation, and operations.

Start with the first guide

Your outcome

Design and validate an AWS generative AI application with clear security and operating boundaries.

Core curriculum

The skills to practice

AWS foundations
IAM and network boundaries
Amazon Bedrock
Knowledge Bases and RAG
Evaluation and guardrails
Reliability and cost

Guided path

AWS generative AI application builder

Learn the AWS building blocks, implement a focused Amazon Bedrock workflow, then check its security, evaluation, and operational readiness.

Suggested pace: 5 weeks · Capstone: A secure Bedrock knowledge assistant

5 steps · follow in order

0 of 5 complete

  1. 01

    Build AWS learning foundations

    Understand accounts, regions, IAM, service boundaries, and the costs your project could incur.

  2. 02

    Choose a role-based study route

    Follow the developer or solutions architect route and note the services relevant to your use case.

  3. 03

    Make a first Bedrock request

    Run a small inference experiment and record the model, prompt, expected output, and failure cases.

  4. 04

    Add grounding and safeguards

    Design retrieval, authorization, evaluation, and guardrail checks before exposing the workflow to users.

  5. 05

    Review production trade-offs

    Assess security, reliability, observability, performance, and cost; document launch criteria.

Provider learning materials

Learn from official training and documentation.

Migo Mind's sequence is an independent study map. These links open the provider's own courses and technical references; availability, account requirements, and pricing can change.

AWS Training and Certification

AWS digital training

Start with self-paced learning and choose training by cloud domain or job role.

Browse AWS training

AWS Training and Certification

AWS Ramp-Up Guides

Use the role- and solution-based guides to organize courses, labs, videos, and technical references.

Choose an AWS ramp-up guide

Amazon Bedrock documentation

Get started with Amazon Bedrock

Make a first inference request, then continue into retrieval, agents, and model evaluation.

Open the Bedrock quickstart

Amazon Bedrock documentation

Build with Amazon Bedrock

Explore the service guide, inference APIs, Knowledge Bases, agents, safeguards, and evaluation features.

Explore Bedrock documentation

AWS Well-Architected

Well-Architected Framework

Use the pillars to review operational excellence, security, reliability, performance, and cost decisions.

Read the framework