Database Management Training Courses

Introduction to Azure Cosmos DB & Global Distribution • What is Azure Cosmos DB and where it is used • Cosmos DB architecture and service tiers • Consistency models overview • Multi-region replication conceptsCosmos DB APIs & Data Models • Core (SQL) API • Mon...

 • Cloud application developers
 • Database administrators working with NoSQL
 • Cloud architects and engineers
 • DevOps and platform engineers
 • Teams building globally distributed applications

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Azure Cosmos DB. This digital, verifiable certification validates practical Cosmos DB architecture, global distribution, NoSQL data modeling, and cloud database management skills and can be shared on LinkedIn and included in professional profiles to enhance cloud and NoSQL career credibility.

Prerequisites:  • Basic understanding of databases and data concepts • Familiarity with Microsoft Azure fundamentals is helpful • Experience with application development is beneficial

Introduction to Azure SQL Database & Cloud Architecture • What is Azure SQL Database and where it is used • Azure SQL deployment models • Logical servers and databases • Azure SQL architecture overviewProvisioning & Configuration • Creating Azure SQL databases...

 • Cloud database administrators
 • Application developers using Azure SQL
 • DevOps and cloud engineers
 • IT professionals managing Azure data services
 • Teams migrating on-premises databases to Azure

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Azure SQL Database. This digital, verifiable certification validates practical Azure SQL administration, cloud database security, high availability, and performance optimization skills and can be shared on LinkedIn and included in professional profiles to enhance cloud and database career credibility.

Prerequisites:  • Basic understanding of SQL and relational databases • Familiarity with Microsoft Azure fundamentals is helpful • Basic knowledge of cloud computing concepts

Introduction to SSAS & BI Architecture • What is SSAS and where it is used • SSAS architecture and deployment models • Multidimensional vs tabular models • SSAS development environment overviewData Modeling Fundamentals • Star and snowflake schemas • Dimension...

 • Business intelligence developers
 • Data warehouse developers
 • BI architects and analysts
 • SQL Server professionals
 • IT professionals working with Microsoft BI stack

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Business Intelligence with SSAS. This digital, verifiable certification validates practical SSAS modeling, enterprise BI development, and analytical data platform skills and can be shared on LinkedIn and included in professional profiles to enhance Microsoft BI career credibility.

Prerequisites:  • Basic understanding of SQL Server and relational databases • Familiarity with data warehousing concepts is helpful • Basic knowledge of business intelligence fundamentals

Introduction to Firebase & Backend-as-a-Service Concepts • What is Firebase and where it is used • Firebase architecture overview • Firebase project setup • Firebase console navigationFirebase Authentication • Email and password authentication • Social login p...

 • Frontend and full-stack developers
 • Mobile application developers
 • Startup and product development teams
 • Backend developers adopting serverless platforms
 • IT professionals exploring Backend-as-a-Service platforms

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Firebase Fundamentals. This digital, verifiable certification validates practical Firebase development, cloud backend integration, and serverless application skills and can be shared on LinkedIn and included in professional profiles to enhance modern application development career credibility.

Prerequisites:  • Basic understanding of web or mobile application development • Familiarity with JavaScript is helpful • Interest in cloud-based backend services

Introduction to Cassandra & Distributed Database Concepts • What is Cassandra and where it is used • CAP theorem and Cassandra design principles • Cassandra architecture and components • Use cases for CassandraCassandra Installation & Cluster Setup Basics • Ca...

 • Big data engineers and developers
 • Backend developers building scalable applications
 • Database administrators managing NoSQL platforms
 • Architects designing distributed data systems
 • Professionals adopting Cassandra for large-scale workloads

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Fundamentals of Cassandra DB. This digital, verifiable certification validates practical Cassandra NoSQL development, distributed database architecture, and large-scale data platform skills and can be shared on LinkedIn and included in professional profiles to enhance big data and NoSQL career credibility.

Prerequisites:  • Basic understanding of databases and data concepts • Familiarity with Linux or system administration is helpful • Interest in distributed systems and NoSQL databases

Introduction to GraphQL & API Evolution • What is GraphQL and why it is used • GraphQL vs REST • GraphQL architecture overview • Common GraphQL use casesSchema Design & Type System • Defining types and fields • Relationships and nested queries • Input types an...

 • Frontend and backend developers
 • Full-stack developers
 • API developers
 • Mobile application developers
 • Software engineers building modern applications

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for GraphQL Essentials. This digital, verifiable certification validates practical GraphQL API development, schema design, and modern API architecture skills and can be shared on LinkedIn and included in professional profiles to enhance API and full-stack development career credibility.

Prerequisites:  • Basic understanding of REST APIs • Familiarity with JavaScript or backend development is helpful • Interest in modern API technologies

Introduction to Hazelcast & In-Memory Computing • What is Hazelcast and where it is used • Hazelcast architecture and components • Cluster formation and discovery • Hazelcast deployment modelsDistributed Data Structures • Distributed maps and multi-maps • Dist...

 • Application developers
 • Backend and platform engineers
 • DevOps and site reliability engineers
 • Distributed systems architects
 • IT professionals building in-memory data platforms

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Hazelcast Fundamentals. This digital, verifiable certification validates practical Hazelcast clustering, distributed caching, stream processing basics, and in-memory data platform skills and can be shared on LinkedIn and included in professional profiles to enhance distributed systems and backend engineering career credibility.

Prerequisites:  • Basic understanding of Java or JVM-based applications is helpful • Familiarity with distributed systems concepts is beneficial • Experience with application development is recommended

Introduction to Monitoring, Observability & Metrics • What is monitoring and observability • Metrics, logs, and traces overview • Use cases for Prometheus and Grafana • Modern monitoring architecturePrometheus Architecture & Core Concepts • Prometheus server c...

 • DevOps and site reliability engineers
 • System administrators
 • Cloud and platform engineers
 • IT operations professionals
 • Developers responsible for application monitoring

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Introduction to Grafana and Prometheus. This digital, verifiable certification validates practical monitoring setup, PromQL usage, dashboard design, and observability platform skills and can be shared on LinkedIn and included in professional profiles to enhance DevOps and SRE career credibility.

Prerequisites:  • Basic understanding of Linux or system administration • Familiarity with cloud or application environments is helpful • Interest in monitoring and observability platforms

Introduction to NoSQL & Distributed Data Concepts • What is NoSQL and why it is used • CAP theorem and distributed systems basics • NoSQL vs relational databases • Common NoSQL use casesKey-Value & In-Memory Databases • Key-value data model • Redis overview •...

 • Application developers
 • Data engineers and architects
 • Database administrators exploring NoSQL
 • Cloud and DevOps engineers
 • IT professionals working with modern data platforms

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Introduction to NoSQL Databases. This digital, verifiable certification validates practical NoSQL concepts, distributed data architecture understanding, and modern data platform knowledge and can be shared on LinkedIn and included in professional profiles to enhance cloud and data engineering career credibility.

Prerequisites:  • Basic understanding of databases and data concepts • Familiarity with SQL and relational databases is helpful • Interest in modern data platforms and distributed systems

Introduction to Databases & SQL Basics • What is a relational database • Database tables, rows, and columns • Introduction to SQL and its uses • Setting up SQL environmentBasic SQL Queries • SELECT statements • Filtering with WHERE clause • Sorting with ORDER...

 • Beginners in data and databases
 • Business analysts and reporting professionals
 • Application developers new to SQL
 • Students and professionals starting with databases
 • Professionals transitioning into data roles

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Introduction to SQL. This digital, verifiable certification validates practical SQL querying, relational database fundamentals, and data analysis skills and can be shared on LinkedIn and included in professional profiles to enhance data and analytics career credibility.

Prerequisites:  • Basic computer operation skills • Familiarity with data concepts is helpful • No prior SQL experience required

Introduction to Vector Databases & AI Search Concepts • What are vector databases and where they are used • Embeddings and vector representations • Distance and similarity metrics • Use cases for vector searchEmbeddings & Vector Generation • Text and image emb...

 • Machine learning engineers
 • Data scientists
 • AI application developers
 • Data engineers
 • Architects building AI-driven systems

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Introduction to Vector Databases. This digital, verifiable certification validates practical vector search, AI data integration, and modern vector database platform skills and can be shared on LinkedIn and included in professional profiles to enhance AI and data engineering career credibility.

Prerequisites:  • Basic understanding of databases and data concepts • Familiarity with machine learning or AI concepts is helpful • Experience with Python is beneficial

Introduction to MariaDB Architecture & Deployment • What is MariaDB and where it is used • MariaDB architecture overview • Storage engines and compatibility with MySQL • MariaDB deployment modelsInstallation & Initial Configuration • Installing MariaDB on Linu...

 • Database administrators
 • System administrators managing MariaDB
 • Backend developers supporting MariaDB databases
 • DevOps and platform engineers
 • IT professionals responsible for MariaDB environments

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for MariaDB Database Administration. This digital, verifiable certification validates practical MariaDB administration, database security, backup, and performance management skills and can be shared on LinkedIn and included in professional profiles to enhance database administration career credibility.

Prerequisites:  • Basic understanding of databases and SQL • Familiarity with Linux or system administration is helpful • Interest in database administration roles