Week 10 introduces students to MLOps (Machine Learning Operations), a critical discipline that bridges the gap between machine learning development and real-world production systems. While building ML models in notebooks is relatively straightforward, deploying, monitoring, and maintaining those models in…
Week 9 focuses on one of the most critical and cost-intensive phases of the Software Development Life Cycle (SDLC): Intelligent software maintenance and evolution. As software systems grow in size and complexity, maintaining code quality, fixing defects, and evolving systems…
In Week 8 of the Intelligent Software Engineering (ISE) course, we delve deeper into advanced AI-driven testing strategies that go beyond traditional methods. As software systems become more complex, the need for intelligent testing techniques has grown. AI-powered testing provides…
Explore Intelligent Software Testing fundamentals: AI-driven test generation, automated oracle solutions, and ML-based test prioritization for efficient QA. Software testing is a crucial part of the SDLC, ensuring quality, reliability, and correctness. Modern intelligent systems leverage AI and ML to…
Intelligent Coding and Code Generation: AI-assisted code completion, program synthesis, and ML-powered static code analysis for smarter software development. Code Completion and Suggestion Tools Modern development environments use AI to assist programmers in writing code faster and more accurately. Key…
Intelligent Software Design and Architecture Explore Intelligent Software Design and Architecture learn how AI-driven systems use design patterns, modern architectures, and model deployment strategies. Design Patterns for AI-Driven Systems Traditional design patterns like MVC, Singleton, and Observer remain foundational, but…