Module #11 Cloud and Distributed Systems Optimization Optimizing cloud-based systems, load balancing, and distributed caching
Module #12 Optimizing for Mobile and Embedded Systems Optimizing for resource-constrained devices, power management, and energy efficiency
Module #13 Web Performance Optimization Optimizing web applications, page load times, and user experience
Module #14 Optimizing for Scalability and Reliability Designing systems for high availability, scalability, and fault tolerance
Module #15 Methodologies and Strategies for Optimization Agile and iterative optimization, A/B testing, and experimentation
Module #16 Tools and Frameworks for Optimization Overview of popular tools and frameworks for performance optimization
Module #17 Case Studies and Real-World Examples Real-world examples of successful performance optimization projects
Module #18 Best Practices and Anti-Patterns Common pitfalls to avoid and best practices for performance optimization
Module #19 Performance Optimization for Artificial Intelligence and Machine Learning Optimizing AI and ML workloads, model optimization, and inference engine optimization
Module #20 Performance Optimization for Real-Time Systems Optimizing real-time systems, latency reduction, and predictability
Module #21 Performance Optimization for Big Data and Data Analytics Optimizing big data processing, data pipeline optimization, and data visualization
Module #22 Performance Optimization for IoT and Edge Computing Optimizing IoT systems, edge computing, and resource-constrained devices
Module #23 Advanced Topics in Performance Optimization Exploring advanced topics, such as quantum computing, and heterogeneous computing
Module #24 Course Wrap-Up & Conclusion Planning next steps in Software Performance Optimization career
