This advanced diploma is designed for IT professionals seeking to build and operate enterprise-grade Microsoft infrastructure environments. The program covers the full on-premises infrastructure stack, starting with advanced Windows Server administration and Active Directory services, and progressing into virtualization, high availability, system management, and enterprise migrations. Learners gain hands-on experience with core services including DNS, DHCP, Certificate Services, storage, Hyper-V, failover clustering, patching, and operating system deployment. Advanced topics such as SQL Server high availability, SCCM, and cross-forest migrations prepare learners to design, implement, and manage scalable, secure, and highly available enterprise infrastructure solutions.

The Azure Cloud Engineer Diploma – Professional Track is a career-focused program designed to prepare learners for real-world Azure Cloud Engineer roles. It offers a complete hands-on journey that mirrors how cloud projects are delivered within service providers, consulting firms, and enterprise IT environments. Learners progress from core cloud fundamentals to advanced Azure infrastructure implementation, including governance, monitoring, security, and migration scenarios. The program emphasizes real solution design, practical delivery practices, and workplace readiness through evaluations, capstone project development, and final presentation sessions.

The Data Engineering Track at GBG Academy is designed to take learners from core data fundamentals to building real, end-to-end data platforms used in modern organizations. The track combines strong conceptual foundations with hands-on practice, covering how data is collected, transformed, modeled, and delivered for analytics and decision-making. Learners gain practical experience building reliable, scalable data pipelines across on-premises and cloud environments. The program emphasizes real-world scenarios, industry-standard tools, and best practices, preparing learners to think and work like professional data engineers.

Cybersecurity – Advanced Diploma is a hands-on program designed to prepare learners for real-world security roles in modern enterprise environments. It covers on-premises and cloud security with a strong focus on Microsoft security technologies and the Zero Trust model. Learners gain practical experience securing identities, endpoints, cloud applications, and sensitive data, enabling them to operate effectively in SOC, cloud security, and enterprise security roles.

The AWS Advanced Cloud Diploma is a hands-on, career-focused program designed to prepare learners for real-world AWS cloud architecture and operations roles. The program builds advanced expertise across core AWS services, with strong emphasis on architecture design, security, networking, high availability, and operational excellence. Learners gain practical experience designing, deploying, securing, and operating scalable AWS environments across multiple accounts and regions. The diploma bridges cloud theory with real-world implementation, enabling learners to understand how AWS solutions are architected, migrated, monitored, optimized, and maintained in production environments. By the end of the program, participants are prepared for advanced AWS certifications and enterprise cloud engineering roles.

The Advanced .NET Backend Track is designed for developers with a solid understanding of C# who want to build production-ready backend systems. It focuses on advanced C# concepts, ASP.NET Core Web APIs, backend architecture patterns, security, and performance optimization. Learners work on real-world scenarios and hands-on projects that reflect professional development environments, preparing them to design, build, and maintain scalable, high-quality backend applications with confidence.

This course offers a comprehensive, end-to-end introduction to building production-ready Generative AI applications and deploying them in cloud-native environments. Learners progress from core natural language processing concepts to advanced topics, including large language models using Azure AI Services and real-time AI systems. The course emphasizes hands-on implementation, system design, and deployment best practices, leveraging tools such as FastAPI, Docker, and Azure services to build scalable, reliable AI-powered applications.