AWS Database Services - Hands-On Lab Demos

Master AWS Databases. Watch hands-on labs for RDS, DynamoDB, Aurora, and Neptune.
⏱️ Length: 3.3 total hours
⭐ 4.50/5 rating
👥 2,752 students
🔄 November 2025 update

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Course Overview
- This comprehensive course, “AWS Database Services – Hands-On Lab Demos,” offers a practical, demo-driven exploration into the core database offerings within the Amazon Web Services ecosystem. Designed for cloud enthusiasts, developers, architects, and operations professionals, it meticulously showcases the deployment, management, and scaling of several critical AWS database services through vivid, step-by-step demonstrations. The curriculum is specifically structured to provide a deep dive into both relational and NoSQL paradigms, ensuring learners grasp the operational nuances and strategic applications of each service in real-world scenarios.
- The course covers a broad spectrum of AWS database solutions, including the popular Amazon Relational Database Service (RDS) with its various engine options, the high-performance Amazon Aurora, the massively scalable Amazon DynamoDB, and the cutting-edge Amazon Neptune for graph database needs. Each service is introduced with a focus on practical implementation, allowing students to observe experts navigating the AWS Management Console and utilizing relevant tools to set up, configure, and interact with these databases.
- Emphasizing learning by observation, this course condenses complex topics into digestible, actionable demonstrations. With its recent November 2025 update, the content ensures relevance and alignment with the latest AWS features and best practices. It serves as an excellent foundational resource for anyone looking to master the deployment and administration of resilient and performant database solutions on the AWS cloud, irrespective of their prior extensive database management experience.
Requirements / Prerequisites
- Basic Cloud Concepts: A fundamental understanding of cloud computing principles, such as scalability, elasticity, and the concept of Infrastructure as a Service (IaaS), is highly recommended to fully grasp the context of AWS services.
- General Database Knowledge: Familiarity with core database concepts, including what a database is, primary keys, indexing, and the general differences between relational and non-relational databases, will be beneficial.
- AWS Account (Optional but Recommended): While the course is demo-based, having an active AWS account (eligible for the free tier) will allow you to optionally follow along with the demonstrations and reinforce your learning through hands-on practice.
- Internet Connection: A stable and reliable internet connection is necessary to stream the high-quality video lab demonstrations without interruption.
- No Prior AWS Database Experience Required: This course is structured to guide learners through the essentials, making it accessible even if you have limited or no previous experience specifically with AWS database services.
Skills Covered / Tools Used
- AWS Relational Database Service (RDS): Learn to provision, configure, and manage various relational database engines like PostgreSQL, MySQL, and potentially others on AWS. This includes understanding concepts such as database instances, security groups, parameter groups, option groups, and subnet groups.
- Amazon Aurora: Gain insights into Aurora’s high-performance architecture, including how to create Aurora clusters, understand its storage model, configure read replicas for scaling reads, and explore its serverless and global database capabilities through practical demonstrations.
- Amazon DynamoDB: Master the fundamentals of NoSQL database management by observing table creation, defining primary keys and sort keys, implementing secondary indexes (Global and Local), configuring read/write capacity modes, and leveraging advanced features like DynamoDB Streams and Global Tables for multi-region resilience.
- Amazon Neptune: Discover the basics of graph databases on AWS, including how to set up Neptune clusters, connect to them, and perform rudimentary graph queries using languages like Gremlin or SPARQL, understanding their application in relationship-heavy data models.
- AWS Management Console: Become proficient in navigating the primary AWS web interface to interact with, monitor, and manage all covered database services, understanding where to find key configurations and operational metrics.
- Database Connectivity and Client Tools: Observe how to connect to various AWS database instances using appropriate client tools (e.g., psql for PostgreSQL, mysql client for MySQL, NoSQL Workbench for DynamoDB, Gremlin Console for Neptune) and understand basic connectivity best practices.
- High Availability and Scalability: Understand and see demonstrations of how to implement high availability (Multi-AZ deployments) and scalability solutions (Read Replicas, auto-scaling DynamoDB capacity) for robust database architectures on AWS.
- Security Best Practices: Witness the application of fundamental security measures such as configuring Virtual Private Clouds (VPCs), setting up security groups, and managing Identity and Access Management (IAM) roles for database access.
Benefits / Outcomes
- Practical Database Deployment Expertise: You will gain practical, observed experience in deploying and managing a diverse range of AWS database services, from relational to NoSQL and graph, setting you up for real-world application.
- Informed Database Selection: Develop a keen understanding of the unique strengths and optimal use cases for each AWS database service (RDS, Aurora, DynamoDB, Neptune), enabling you to make informed architectural decisions.
- Enhanced Cloud Solution Design: Be capable of designing and implementing more robust, scalable, highly available, and cost-efficient database solutions tailored to specific application requirements within the AWS cloud environment.
- Confidence in AWS Console Navigation: Build significant confidence in navigating the AWS Management Console specifically for database-related operations, monitoring, and troubleshooting.
- Career Advancement: Strengthen your resume and enhance your career prospects in roles such as Cloud Developer, Solutions Architect, Database Administrator, or DevOps Engineer by demonstrating proficiency in critical AWS database technologies.
- Foundation for Certification: Lay a solid practical foundation for pursuing various AWS certifications, particularly those relevant to solution architecture, development, or database specialties, by understanding service implementation.
- Troubleshooting Acumen: Gain initial insights into common operational aspects and potential troubleshooting scenarios for AWS databases, helping you identify and resolve basic issues more effectively.
- Stay Updated with AWS: Benefit from recently updated content, ensuring your knowledge aligns with current AWS services and features as of the November 2025 refresh.
PROS
- Highly Practical and Demo-Focused: The course excels in its hands-on lab demo approach, providing visual, step-by-step guidance crucial for understanding complex deployments.
- Comprehensive Service Coverage: It covers a wide and essential range of AWS database services, giving a broad overview of the available options.
- Proven Quality: A 4.50/5 rating from 2,752 students signifies high satisfaction and effective learning outcomes for a large audience.
- Up-to-date Content: The November 2025 update ensures that the information and demonstrations are current and reflect the latest AWS features.
- Efficient Learning: At 3.3 total hours, it’s an excellent investment for quickly grasping fundamental concepts and practical applications without a lengthy time commitment.
CONS
- The watch-only format, while excellent for demonstrations, means true hands-on keyboard practice is reliant on the student actively following along independently, which may not suit all learning styles without guided exercises.