AWS

Foundational certification covering AI, ML, and generative AI concepts and AWS AI/ML services including Amazon Bedrock, SageMaker, and Rekognition. No prior AI/ML experience required.

Entry-level certification validating foundational knowledge of AWS Cloud concepts, core services, security, pricing, and support. Ideal for non-technical roles and those new to cloud. No prior IT experience required.

Validates skills in implementing and operating data pipelines on AWS — Glue, EMR, Kinesis, Athena, Redshift, Lake Formation, and orchestration with Step Functions/MWAA. Released April 2024 and quickly became a high-demand AWS associate-level cert.

Validates skills in developing and maintaining AWS-based applications including CI/CD pipelines, deployment automation, and serverless architectures. Covers core AWS SDKs, CLI, and developer services.

Advanced certification validating skills in CI/CD pipelines, automation, monitoring, and security for large-scale AWS deployments. Requires 2+ years of experience provisioning and managing AWS environments.

Validates deep expertise in building, training, tuning, and deploying ML models on AWS using SageMaker and related services. Covers data engineering, exploratory analysis, and ML implementation.

Specialty certification validating deep expertise in AWS security services, data protection, identity management, and compliance. Covers incident response, logging, monitoring, and encryption strategies on AWS.

Validates ability to design resilient, cost-optimized, high-performing, and secure AWS architectures. Covers core services, distributed systems design, and AWS best practices. Recommended 1+ year of hands-on AWS experience.

Advanced certification for architects with 2+ years designing complex AWS solutions. Validates deep expertise in enterprise-level AWS architectures, advanced networking, security, and cost optimization at scale.

Validates skills in deployment, management, and operations on AWS including monitoring, networking, and security. Covers operational best practices for AWS workloads and cost optimization.