Length: 2 Days
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Generative AI Training Workshop for Software Developers by Tonex

Creating Secure Software Workshop by Tonex

This 2-day workshop is designed to provide software developers with an in-depth understanding of generative AI and its applications in software development. Through interactive sessions, hands-on exercises, and collaborative discussions, attendees will explore the use of generative AI for enhancing coding practices, automating tasks, and creating innovative software solutions. The workshop aims to equip developers with the skills and knowledge to leverage AI technologies for improved efficiency, creativity, and problem-solving in their software projects.

Learning Objectives:

  • Understand Generative AI Concepts: Gain a comprehensive understanding of generative AI technologies and their applications in software development.
  • Enhance Coding Practices with AI: Learn how to use AI tools to enhance coding practices, automate repetitive tasks, and improve code quality.
  • Innovative Software Solutions: Explore how generative AI can be used to create innovative software solutions and applications.
  • Hands-on Experience with AI Tools: Engage in practical exercises to apply AI tools and techniques in software development projects.
  • Ethical Considerations and Best Practices: Understand the ethical implications and best practices for using generative AI in software development.

Audience:

This workshop is ideal for:

  • Software developers and engineers looking to integrate AI into their development workflows.
  • IT professionals and data scientists involved in software development and AI integration.
  • Project managers and team leaders overseeing AI-driven software projects.
  • Researchers and academics interested in the intersection of AI and software development.
  • Any software development professionals seeking to enhance their understanding of generative AI applications.

Course Outlines:

Day 1:

Module 1: Introduction to Generative AI for Software Development

    • Overview of generative AI technologies
    • Key concepts and terminology
    • Importance of AI in modern software development

Module 2: Enhancing Coding Practices with AI

    • Techniques for using AI to enhance coding practices
    • Automating repetitive tasks with AI tools
    • Improving code quality and debugging with AI

Module 3: Hands-on Session: AI Tools for Coding

    • Introduction to popular AI tools and platforms for developers
    • Practical exercises in using AI tools for coding tasks
    • Group activities and collaborative coding projects

Module 4: Creating Innovative Software Solutions with AI

    • Exploring AI-driven software applications
    • Case studies of innovative software solutions powered by AI
    • Tools and frameworks for developing AI-driven applications

Day 2:

Module 5: Advanced Techniques for AI-Enhanced Software Development

    • AI methodologies for optimizing software development workflows
    • Application of machine learning in software testing and validation
    • Real-time monitoring and predictive maintenance using AI

Module 6: Ethical Considerations in AI-Driven Development

    • Understanding the ethical implications of using AI in software development
    • Strategies for mitigating biases and ensuring ethical AI practices
    • Governance frameworks for responsible AI use in development

Module 7: Interactive Q&A Session

    • Open floor discussion with AI and software development experts
    • Addressing specific participant questions and scenarios
    • Collaborative problem-solving and idea exchange

Module 8: Future Trends in Generative AI for Software Development

    • Exploring upcoming advancements in AI technologies for development
    • Preparing for future AI innovations in software development
    • Strategic planning for long-term AI integration in development workflows

Module 9: Final Project: AI-Driven Software Development Plan

    • Developing a comprehensive plan for integrating AI in software development practices
    • Group presentations and peer feedback
    • Actionable steps for implementing workshop learnings in development projects

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