Cloud Computing

Cloud Computing – Self Paced

Master cloud computing and distributed systems. Learn algorithms, distributed architectures, Apache Storm, Spark, security, and real-world cloud operations for professional cloud deployments.

Unlock the full potential of cloud computing with our comprehensive course designed for IT professionals, developers, and technology enthusiasts. This course covers the fundamental concepts of distributed systems, cloud paradigms, algorithms, and hands-on applications in real-world cloud environments.

You’ll start with classical distributed algorithms, exploring remote procedure calls (RPCs), mutual exclusion algorithms, leader election methods, and concurrency control. Learn the architecture of classical systems, emerging paradigms, and real-life behaviors of distributed systems that form the backbone of modern cloud computing.

Gain a deep understanding of cloud computing fundamentals, including replication, two-phase commit protocols, distributed transactions, and stream processing using Apache Storm and Spark. Explore file system abstractions, distributed shared memory, sensor networks, and security fundamentals, including cryptography and disaster mitigation techniques.

Learn from industry interviews and case studies of real-world cloud outages from AWS, Facebook, and Planet, understanding practical challenges and solutions in cloud operations. The course also provides exposure to Hadoop scheduling, resource management, and advanced distributed graph processing, preparing you to design scalable, secure, and efficient cloud systems.

By the end of this course, you’ll have the skills to design, implement, and manage cloud-based solutions, understand distributed system algorithms, optimize resource allocation, and ensure secure, high-availability deployments in cloud environments.

📖 Course Curriculum (Highlights)

Course Orientation & Classical Distributed Algorithms
Remote Procedure Calls (RPCs)
Emerging Paradigms & Classical Systems
Leader Election Algorithms (Ring, Bully, Chubby & Zookeeper)
Distributed Mutual Exclusion Algorithms (Ricart–Agrawala, Maekawa)
Transactions, Concurrency Control & Serial Equivalence
Replication & Two-Phase Commit Protocol
Stream & Graph Processing with Apache Storm & Spark
File Systems, NFS, AFS & Distributed Shared Memory
Scheduling & Resource Management (Hadoop, DRF Scheduling)
Security & Cryptography Concepts
Disaster Management & Real-World Cloud Outages
Interviews with Industry Experts
Wrap-Up & Conclusion

🌟 Why Enroll in This Course?

✔ Master cloud computing fundamentals and distributed system algorithms
✔ Gain hands-on experience with Hadoop, Apache Storm, and Spark
✔ Understand real-world cloud operations, outages, and disaster recovery
✔ Learn security, cryptography, and high-availability strategies
✔ Prepare for professional roles in cloud architecture, DevOps, and distributed systems