Advanced Data Center Management and Infrastructure

"Mastering the Heart of IT: Advanced Data Center Management and Infrastructure"
(31) Ratings
241 students
Created by Akhil Vydyula

What you'll learn

  • Overview of AI tools for developers and their impact on software development
  • You will practice how to collaborate with Bard by asking follow-up questions, choosing from multiple drafts, and editing its outputs
  • Understand what Docker Compose is
  • Recognize how best practices and benchmarking support continuous improvement
This course includes:
1 total hour on-demand video
0 articles
0 downloadable resources
9 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion

Course content


  • Basic understanding of business concepts: It is recommended to have a foundational knowledge of business principles and terminology. Familiarity with concepts such as business models, competitive analysis, and financial statements will be beneficial.


In today’s digital age, data centers are the backbone of modern businesses, ensuring the efficient storage, processing, and management of vast amounts of data. The Advanced Data Center Management and Infrastructure course is designed to equip professionals with the advanced knowledge and skills required to excel in the field of data center management.

Course Objectives:

  1. Optimize Data Center Efficiency: Learn advanced strategies and best practices to maximize the efficiency of data center operations, reduce energy consumption, and lower operational costs.

  2. Scalability and Capacity Planning: Explore techniques for effectively planning and managing data center growth, including capacity planning, resource allocation, and scaling strategies.

  3. Advanced Virtualization: Dive deep into virtualization technologies and their role in data center management, including containerization, software-defined networking (SDN), and virtualized storage solutions.

  4. Security and Compliance: Understand advanced security measures and compliance requirements specific to data centers, focusing on safeguarding sensitive data and mitigating risks.

  5. Disaster Recovery and Business Continuity: Develop comprehensive disaster recovery and business continuity plans to ensure data center resilience in the face of unexpected events.

  6. Automation and Orchestration: Learn about automation tools and orchestration frameworks to streamline routine tasks, enhance operational efficiency, and reduce human error.

  7. Cloud Integration: Explore strategies for integrating on-premises data centers with cloud services, enabling hybrid cloud environments, and optimizing cloud resource management.

  8. Monitoring and Analytics: Gain expertise in advanced monitoring and analytics tools to proactively identify and resolve issues, optimize performance, and make data-driven decisions.

  9. Hardware Infrastructure Management: Delve into the management of physical infrastructure components such as servers, storage systems, networking equipment, and cooling systems.

  10. Green Data Center Practices: Learn about environmentally sustainable practices for data centers, including green energy solutions and eco-friendly design principles.

  11. Case Studies and Real-World Applications: Analyze real-world data center scenarios and case studies to apply theoretical knowledge to practical situations.

  12. Industry Trends and Emerging Technologies: Stay up-to-date with the latest industry trends, emerging technologies, and innovations in data center management.

Who this course is for:

  • System Administrators
  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Cloud Infrastructure Engineers
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