AWS Training and Certification
AWS digital training
Start with self-paced learning and choose training by cloud domain or job role.
Browse AWS trainingAWS
Build AWS cloud fundamentals for AI workloads, then practice secure Amazon Bedrock application design, retrieval, evaluation, and operations.
Start with the first guideYour outcome
Design and validate an AWS generative AI application with clear security and operating boundaries.
Core curriculum
Guided path
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
0 of 5 complete
Understand accounts, regions, IAM, service boundaries, and the costs your project could incur.
Follow the developer or solutions architect route and note the services relevant to your use case.
Run a small inference experiment and record the model, prompt, expected output, and failure cases.
Design retrieval, authorization, evaluation, and guardrail checks before exposing the workflow to users.
Assess security, reliability, observability, performance, and cost; document launch criteria.
Provider learning materials
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
Start with self-paced learning and choose training by cloud domain or job role.
Browse AWS trainingAWS Training and Certification
Use the role- and solution-based guides to organize courses, labs, videos, and technical references.
Choose an AWS ramp-up guideAmazon Bedrock documentation
Make a first inference request, then continue into retrieval, agents, and model evaluation.
Open the Bedrock quickstartAmazon Bedrock documentation
Explore the service guide, inference APIs, Knowledge Bases, agents, safeguards, and evaluation features.
Explore Bedrock documentationAWS Well-Architected
Use the pillars to review operational excellence, security, reliability, performance, and cost decisions.
Read the framework