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शुरू होता है 6 June 2026 08:58

समाप्त होता है 6 June 2026

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AI-Powered Development - The Future of Software Engineering

Join us for an insightful exploration of how artificial intelligence is revolutionizing the realm of software engineering. Delve into the ways AI is shaping the future of development with tools like coding assistants and automated DevOps processes. Learn about innovative concepts such as code embeddings and RAG, as well as essential ethical.
Conf42 via YouTube

Conf42

6076 कोर्स


21 minutes

वैकल्पिक अपग्रेड उपलब्ध है

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वैकल्पिक अपग्रेड उपलब्ध है

अवलोकन

Join us for an insightful exploration of how artificial intelligence is revolutionizing the realm of software engineering. Delve into the ways AI is shaping the future of development with tools like coding assistants and automated DevOps processes.

Learn about innovative concepts such as code embeddings and RAG, as well as essential ethical considerations in the implementation of AI technologies.

This course offers a comprehensive look at the changing role of developers as they navigate this AI-driven environment, preparing them for the challenges and opportunities ahead. Hosted on YouTube, this online course falls under the categories of Artificial Intelligence and Computer Science, catering to those eager to stay at the forefront of industry advancements.

पाठ्यक्रम

  • Introduction to AI in Software Development
  • Overview of AI technologies in software engineering
    Historical context and evolution
  • AI-Powered Coding Assistants
  • Functionality and capabilities of coding assistants
    Practical applications in software development
    Benefits and limitations
  • DevOps Automation via AI
  • Introduction to AI-driven DevOps tools
    CI/CD pipeline automation with AI
    Case studies: Successful AI integrations in DevOps
  • Code Embeddings and Feature Extraction
  • Understanding code embeddings
    Techniques and tools for code embedding
    Applications and impact on code analysis and search
  • Retrieval-Augmented Generation (RAG) in Development
  • Concepts and mechanisms of RAG
    Integrating RAG with existing development workflows
    Real-world applications and case studies
  • Ethical Considerations in AI-Powered Development
  • Data privacy and security concerns
    Bias and fairness in AI-driven tools
    Navigating ethical dilemmas in AI application
  • The Evolving Role of Developers
  • Shifts in skill sets and roles
    Collaboration between humans and AI
    Preparing for an AI-driven future in software engineering
  • Conclusion and Future Trends
  • Emerging technologies and their potential impacts
    Long-term visions for AI in software development
  • Capstone Project
  • Develop a small software project utilizing AI tools
    Present findings and reflections on AI integration in development practices

विषय

Computer Science