A live record of certifications, courses, training, and awards — pulled directly from the source of truth.

Foundational overview of Amazon Elastic Compute Cloud (EC2), covering instance types and families, AMIs, key pairs, security groups, and EBS storage. Designed for newcomers to AWS compute.

Hands-on introduction to launching and managing Amazon EC2 instances, including selecting an AMI, configuring networking and storage, connecting via SSH or RDP, and applying basic security best practices.

Covers monitoring and troubleshooting Amazon EC2 workloads using CloudWatch metrics and Logs, the CloudWatch agent, EC2 instance status checks, and Systems Manager. Includes common failure scenarios and root-cause investigation patterns.

Overview of recent innovations in Amazon EC2, including new instance families, AWS Graviton processors, Nitro System enhancements, and capabilities like EC2 Capacity Manager and EC2 instance attestation.

Introduction to Amazon EC2 P6e-GB300 UltraServers, accelerated by NVIDIA GB300 NVL72. Covers the UltraServer architecture, near-20TB GPU memory footprint, and use cases for trillion-parameter model training and inference.

Introduction to Amazon EC2 Capacity Manager, which provides cross-account, cross-Region visibility into On-Demand, Spot, and Capacity Reservation usage. Covers metrics, dashboards, and exporting capacity data for long-term analysis.

Foundational coverage of Amazon EC2 Auto Scaling, including Auto Scaling groups, launch templates, scaling policies, lifecycle hooks, and using health checks to maintain desired capacity automatically.

Practical guidance for rightsizing Amazon EC2 workloads using Compute Optimizer, CloudWatch metrics, and Cost Explorer. Covers selecting instance families and sizes that match real utilization patterns to reduce cost.

Comparison of Amazon Aurora MySQL and Amazon RDS for MySQL, focusing on differences in architecture, performance, high availability, and pricing. Helps practitioners choose between the two managed MySQL options based on workload requirements.

Introduction to running MariaDB on Amazon RDS, including instance and storage selection, parameter groups, backup and restore, multi-AZ deployments, and connecting from applications.

Introduction to running MySQL on Amazon RDS, covering provisioning, parameter and option groups, automated backups and snapshots, read replicas, and Multi-AZ failover.

Introduction to running Oracle Database on Amazon RDS, covering supported editions, license models (BYOL and license-included), option groups, and key administration tasks for managed Oracle workloads.

Introduction to Amazon RDS for SQL Server, covering supported editions, licensing options, multi-AZ configurations, native backup and restore to S3, and integration with Active Directory.

Conceptual primer on Amazon Relational Database Service, including supported engines, the shared responsibility model for managed databases, instance and storage architecture, and core operational features such as backups, snapshots, and Multi-AZ.

Troubleshooting guide for Amazon RDS for PostgreSQL, including connectivity issues, performance bottlenecks, replication lag, parameter tuning, and analyzing logs and Performance Insights to resolve common problems.

Architectural guidance for using Amazon RDS Proxy to pool and share database connections. Covers when to use the proxy, IAM and Secrets Manager integration, failover behavior, and patterns for serverless and high-concurrency workloads.

Foundational course on Amazon RDS for PostgreSQL, covering versioning, parameter and option groups, backups and snapshots, multi-AZ and read replicas, and connecting and securing PostgreSQL workloads on RDS.

Covers monitoring and logging for Amazon RDS and Aurora PostgreSQL, including Enhanced Monitoring, Performance Insights, CloudWatch metrics and logs, and analyzing PostgreSQL log output for performance and security insights.

Introductory module for the advanced PostgreSQL learning plan covering Amazon Aurora and RDS. Outlines the curriculum across architecture, performance, security, monitoring, and migration topics.

Covers security for Amazon RDS and Aurora PostgreSQL, including network isolation, IAM database authentication, Kerberos, encryption at rest and in transit, audit logging, and integration with Secrets Manager.

This comprehensive course equips developers with advanced techniques for optimizing response times for Large Language Model (LLM) applications using Amazon Bedrock. Through hands-on instruction and practical examples, students will master the intricacies of prompt caching, latency optimization, and intelligent routing strategies essential for building high-performance AI applications.

Foundational AWS security course covering the shared responsibility model, identity and access management, data protection, network security, and core monitoring and incident response services.

Foundational walkthrough of the AWS Well-Architected Framework and its six pillars: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. Introduces the Well-Architected Tool and review process.

Hands-on project that builds an intelligent photo search application using AWS AI services such as Amazon Rekognition, Amazon OpenSearch Service, and serverless components for indexing and querying images by content.
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