Lectures of Software Construction and Development (AI-Infused)

AI Augmentation in Software Construction & Development:

• Introduction to software construction

• Traditional vs. AI-driven Software Development

•Role of AI in Software Development Life Cycle

•Key AI Concepts: Machine Learning (ML), Natural Language Processing (NLP), Generative AI

•Key Software Construction Principles: Modularity, Readability, Maintainability.

•Construct of AI and ML

•Types of Machine Learning

•Applications of Machine Learning

•Challenges and Future Directions

•AI techniques and Algorithms

•Supervised Learning Algorithms

•Unsupervised Learning Algorithms

•Reinforcement Learning Algorithms

•Deep Learning Algorithms

•LLM, BERT, XLNet, T5

•Why use AI in SDLC

•Zenith in Efficiency and Productivity

•Unparalleled quality

•Advanced Decision Making

•Cost Savings and Effective Resource Management

•Proactive Risk Management

•Improved Developer Experience

•Overview of the Software Delivery Lifecycle and AI Infusion

•Planning & Requirements Management

•Integrating AI and LLMs in the Planning Phase

•AI-Enhanced Agile Estimation Techniques

•NLP for Requirement Engineering

•Automated Requirement Analysis

Software Design & Development:

•Object Oriented Programming

•Functional Programming in Modern Development

•AI-Driven Design Patterns and Code Architectures

•Generative AI for Architecture Prototyping

 AI in Continuous Integration & Delivery (CI/CD):

•AI in Deployment Automation & Release Management

•AI for Infrastructure and Configuration Management

•AI Technologies Enhancing Testing

•Production Environment