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Introduction to Amazon Augmented AI (A2I), the service for adding human review to machine learning predictions. Covers worker task templates, flow definitions, and integrating A2I with services like Textract and Rekognition.

Introduction to AWS AI Factories, fully managed AWS AI infrastructure deployed inside customer data centers. Covers reference architectures, integration with Amazon Bedrock and SageMaker, and use cases for sovereign and on-premises AI workloads.

Practical guide to planning a generative AI project, covering use case framing, data and model strategy, success metrics, risk and compliance considerations, and the team and operating model needed for delivery.

Guidance for SaaS providers on pricing and packaging generative AI features, covering cost-of-goods modeling, value-based pricing strategies, metering, and balancing margin with adoption when shipping AI capabilities.

Covers security, compliance, and governance practices for AI solutions on AWS, including data protection, model and prompt risk management, responsible AI principles, and aligning AI workloads with regulatory requirements.

Examines how generative AI can support sustainability initiatives, and how to design and operate generative AI workloads on AWS in line with the sustainability pillar of the Well-Architected Framework.

Foundational deep dive into Amazon Aurora, covering its distributed storage architecture, replication, failover behavior, performance characteristics, and the differences between Aurora Standard, I/O-Optimized, and Serverless v2 configurations.

Overview of managed PostgreSQL options on AWS, comparing Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. Covers feature differences, performance and availability characteristics, and choosing between them.

Deep dive into PostgreSQL multi-version concurrency control (MVCC) and the internals of VACUUM and autovacuum, including transaction IDs, dead tuples, bloat, and tuning vacuum behavior on Amazon RDS and Aurora.

Architectural overview of PostgreSQL internals, including process and memory architecture, the write-ahead log, MVCC, the buffer manager, and how these mechanics behave when running on Amazon RDS and Aurora PostgreSQL.

Developer-focused course on PostgreSQL, covering schema design, indexing, query optimization, transactions and isolation levels, and developer-relevant features like JSONB, full-text search, and extensions.

Overview of Amazon AppStream 2.0, AWS's fully managed application streaming service. Covers core architecture, image and fleet provisioning, user access methods, and common deployment scenarios for streaming desktop applications to any HTML5-capable browser.

Introduction to Amazon Aurora, AWS's MySQL- and PostgreSQL-compatible relational database engine. Covers cluster architecture, storage and replication design, performance characteristics, and how to provision and connect to an Aurora cluster.

Introduction to Amazon Data Firehose (formerly Kinesis Data Firehose), the managed service for streaming data delivery. Covers source and destination configuration, transformation with Lambda, format conversion, and delivery to S3, OpenSearch, and third-party targets.

Introduction to Amazon MQ, AWS's managed message broker service for ActiveMQ and RabbitMQ. Covers broker provisioning, network configuration, high-availability deployments, and migrating existing messaging workloads to AWS.

Advanced troubleshooting for AWS Client VPN, covering certificate-based and SAML authentication failures, route propagation, split tunneling, DNS resolution, and CloudWatch log analysis.

Introduction to AWS CloudTrail, the service that records API activity across an AWS account. Covers management, data, and Insights events, trail configuration, and using CloudTrail Lake for queryable audit history.

Troubleshooting techniques for AWS Direct Connect, covering physical connection issues, BGP session problems, virtual interface configuration, MTU/jumbo frames, and route propagation across hybrid networks.

Introduction to AWS WAF, the managed web application firewall. Covers web ACLs, rule groups, AWS Managed Rules, rate-based rules, and integration with CloudFront, ALB, API Gateway, and AppSync.

Operational guide to Amazon EFS, covering performance and throughput modes, lifecycle management to Infrequent Access and Archive tiers, monitoring with CloudWatch, and cost optimization for shared file workloads.

Hands-on introduction to creating and managing trails in AWS CloudTrail, covering trail scope (single-Region, multi-Region, and organization), event selectors, log file integrity validation, and delivery to S3 and CloudWatch Logs.

Troubleshooting techniques for Amazon CloudWatch, focused on diagnosing missing metrics, alarm misfires, log ingestion delays, and dashboard issues. Includes guidance on IAM permissions, agent configuration, and common service integration problems.

Introduction to AWS Network Firewall, a managed stateful firewall for VPCs. Covers firewall policies, Suricata-compatible rule groups, deployment patterns, and integration with VPC routing.

Covers using Amazon CloudWatch Investigations, the AI-assisted feature that correlates metrics, logs, traces, and events to accelerate root-cause analysis of operational issues across AWS workloads.
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