Generative Ai For Software Development (2025)

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Free Download Generative Ai For Software Development (2025)
Published 8/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1007.35 MB | Duration: 3h 21m
Transforming Code Creation, Optimization, and Delivery with AI-Powered Innovation

What you'll learn
Understand and Apply Generative AI Models: Demonstrate a solid understanding of key generative AI models, such as transformers, GANs, and VAEs, and apply them
Chatbots and Conversational AI for Software Development
Hands-On Gen AI Tools for Developers
Understanding Key Generative AI Models
Applications of Gen AI in Software Development
Requirements
Understanding of software development practices (e.g., Python, Java, etc.)
Interest in exploring AI tools and frameworks
Description
This session explores how Generative AI is revolutionizing the software development lifecycle-from automating code generation and refactoring to enhancing design, testing, and documentation. Learn practical use cases, tools, and frameworks that enable developers to accelerate delivery, improve quality, and unlock creative problem-solving. Whether you're a backend engineer, frontend developer, or architect, discover how AI can become your collaborative coding partner, streamlining workflows and boosting productivity.The primary thought of "Generative AI for Software Development" is that AI can act as an intelligent collaborator throughout the software development lifecycle-automating repetitive coding tasks, assisting in design and testing, and enabling faster, higher-quality delivery-so developers can focus more on creativity, problem-solving, and innovation.Benefits of "Generative AI for Software Development" for developers:Faster Coding:AI-assisted code generation reduces time spent writing boilerplate code, allowing developers to focus on complex logic.Better Code Quality:AI can suggest optimizations, detect bugs early, and enforce best practices, leading to cleaner, more maintainable code.Smarter Debugging & Testing:Automated test case generation and intelligent error detection help reduce defects and speed up QA cycles.Enhanced Productivity:Streamlined workflows mean less time on repetitive tasks and more on building innovative features.Continuous Learning:Working with AI exposes developers to new patterns, libraries, and frameworks they might not encounter otherwise.Improved Collaboration:AI-generated documentation, summaries, and architecture diagrams help teams communicate more effectively.Reduced Cognitive Load:With AI handling mundane coding chores, developers can dedicate mental energy to problem-solving and creative solutions.
Software Developers who want to venture into Gen AI

https://www.udemy.com/course/generative-ai-for-software-development/

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