コース概要

Introduction to AIASE

  • Overview of AI in software engineering
  • History and evolution of AIASE
  • Key concepts and terminology

AI Technologies in Software Development

  • Machine learning basics
  • Natural language processing (NLP) for code
  • Neural networks and deep learning models

Automating Software Development with AI

  • AI tools for generating boilerplate code
  • Automated code refactoring and optimization
  • Functional and unit test code generation
  • AI-assisted test case design and optimization

Enhancing Code Quality with AI

  • AI for bug detection and code reviews
  • Predictive analytics for software maintenance
  • AI-powered static and dynamic analysis tools
  • Automated debugging techniques
  • AI-driven fault localization and repair

AI in DevOps and Continuous Integration/Continuous Deployment (CI/CD)

  • AI for build optimization and deployment
  • AI in monitoring and log analysis
  • Predictive models for CI/CD pipelines
  • AI-based test automation in CI/CD workflows
  • AI for real-time error detection and resolution

AI for Documentation and Knowledge Management

  • Automated generation of docstrings and documentation
  • Knowledge extraction from codebases
  • AI for code search and reuse

Ethical Considerations and Challenges

  • Bias and fairness in AI tools
  • Intellectual property and licensing issues
  • Future of AI in software engineering

Hands-On Projects and Case Studies

  • Working with popular AI tools in software engineering
  • Case studies of AIASE in industry
  • Capstone project: Developing an AI-augmented software application

Summary and Next Steps

要求

  • An understanding of software development processes and methodologies
  • Experience with programming in Python
  • Basic knowledge of machine learning concepts

Audience

  • Software developers
  • Software engineers
  • Technical leads and managers
 14 時間

参加者の人数



Price per participant

お客様の声 (5)

関連コース

API Testing with Postman

21 時間

Rest Assured APIs with Postman and Java

21 時間

SoapUI for API Testing

14 時間

Rest Assured: API Testing for REST Services

7 時間

Tosca: Model-Based Testing for Complex Systems

35 時間

Test Automation with Galen Framework

14 時間

TestComplete

21 時間

Automate Windows Desktop Applications with AutoIt

14 時間

Robot Framework: Keyword Driven Acceptance Testing

14 時間

Serenity BDD for Automated Acceptance Tests

7 時間

SpecFlow: Implementing BDD for .NET

21 時間

Behat: Behavior Driven Development (BDD) with PHP

14 時間

BDD with Python and Behave

7 時間

JBehave: BDD with Java

7 時間

関連カテゴリー