The AWS RDS Certification Training is designed to provide learners with in-depth knowledge and hands-on experience in using Amazon Relational Database Service (RDS) — a managed cloud database service that simplifies the setup, operation, and scaling of relational databases on AWS. This course enables IT professionals to manage scalable and resilient databases using RDS while automating time-consuming administrative tasks like provisioning, patching, and backups.

Whether you’re a database administrator, developer, or cloud architect, this course will equip you with the essential skills needed to manage RDS instances, optimize performance, and troubleshoot common issues across multiple supported engines such as MySQL, PostgreSQL, Oracle, and SQL Server.

The course covers key areas such as:

• Introduction to Amazon RDS: Understand the architecture, benefits, and use cases of RDS in cloud-based environments.
• RDS Database Engine Selection: Explore supported databases like MySQL, PostgreSQL, Oracle, MariaDB, and SQL Server.
• Provisioning RDS Instances: Learn how to create, configure, and manage RDS instances through the AWS Management Console and CLI.
• Monitoring and Troubleshooting: Use tools like Amazon CloudWatch, Enhanced Monitoring, and Performance Insights to monitor and diagnose issues.
• Data Migration: Learn techniques for migrating databases to RDS using AWS Database Migration Service (DMS).
• Security and Compliance: Implement identity and access management, network isolation, encryption, and auditing for RDS instances.
• Backup, Restore, and High Availability: Configure automated backups, snapshots, and Multi-AZ deployments to ensure durability and availability.
• Performance Optimization: Tune instance types, storage options, and parameter groups for optimal performance.
• Cost Management and Scalability: Estimate usage costs and implement strategies for auto-scaling and performance efficiency.
• Best Practices and Real-world Scenarios: Apply RDS to real business needs, from web apps to enterprise systems.

Course Prerequisites

To ensure success in this course, participants should meet the following prerequisites:

• Basic understanding of AWS services and cloud infrastructure
• Familiarity with AWS EC2, IAM, and VPC configurations
• Foundational knowledge of relational databases and SQL (MySQL, PostgreSQL, or similar)
• Basic experience with Linux/Unix command-line operations
• Understanding of data management and database operations
• Knowledge of networking concepts such as IPs, firewalls, and subnets
• Optional: Exposure to programming languages (e.g., Python, Java) for deeper automation insights

These prerequisites help learners approach the course with confidence and maximize the value of hands-on labs and practical exercises.

Target Audience

The AWS RDS Certification Training is ideal for professionals looking to manage and optimize relational databases on AWS, including:

• IT Professionals and System Administrators
• Database Administrators (DBAs)
• Cloud and DevOps Engineers
• Application Developers integrating cloud databases
• Data Engineers and Analysts
• Solution Architects designing data-backed systems
• Certification aspirants for AWS Database Speciality
• Students and Professionals transitioning into cloud roles

Why Choose us

⭢ Live Online Training (Duration : 16 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the AWS RDS Certification Training, learners will be able to:

• Understand the fundamentals and benefits of using Amazon RDS.
• Deploy and manage RDS database instances for multiple database engines.
• Perform data migration and synchronization using AWS tools.
• Monitor performance using CloudWatch, Enhanced Monitoring, and RDS logs.
• Implement robust security, compliance, and access control policies.
• Configure automatic backups, snapshots, and disaster recovery solutions.
• Troubleshoot performance issues and common database errors.
• Optimize database configurations for cost-efficiency and high performance.
• Scale database storage and compute capacity based on demand.
• Apply best practices for real-world RDS implementations in production environments.