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AI Integration in Software Development & Operations Transformation Through AI Infusion in DevOps, Testing & SRE (2025)

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DevOps, (2025) Development Operations course helps learners enhance skills in real-world applications. Gain competitive edge with this comprehensive training.

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Additional information

Additional information

Authors

Abhinav Krishna

Published On

101

Language

English

Format

pdf

Size (MB)

6.63 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.9

Description

AI Integration in Software Development & Operations Transformation Through AI Infusion in DevOps, Testing & SRE (2025)

 AI Integration in Software

AI Integration in Software is revolutionizing how developers and operations teams work together, enhancing productivity, efficiency, and innovation across modern software projects. This comprehensive course, AI Integration in Software Development & Operations Transformation Through AI Infusion in DevOps, Testing & SRE (2025), equips learners with practical skills to implement AI-driven solutions in DevOps pipelines, testing frameworks, and Site Reliability Engineering (SRE) processes.

Course Description

This course offers an in-depth exploration of AI infusion in software development and operations. You will learn how to leverage AI to automate repetitive tasks, optimize deployment workflows, and improve software reliability. Furthermore, it covers cutting-edge strategies to integrate AI in continuous integration/continuous deployment (CI/CD) pipelines, ensuring your projects meet high-performance standards.

Through step-by-step modules, participants will gain hands-on experience with AI-driven testing tools, predictive analytics for operational efficiency, and advanced monitoring techniques. By the end of the course, you will be able to transform conventional DevOps and SRE practices with intelligent automation and data-driven decision-making, boosting both productivity and software quality.

What You’ll Learn

  • Fundamentals of AI in software development and operations
  • Integrating AI into DevOps pipelines for automation
  • AI-based testing and quality assurance strategies
  • Implementing AI in SRE for predictive monitoring
  • Optimizing deployment and CI/CD workflows with AI tools
  • Real-world case studies of AI-powered software transformation

Requirements

  • Basic understanding of software development and DevOps practices
  • Familiarity with programming languages such as Python or Java
  • Interest in AI, machine learning, and automation technologies
  • Access to a computer and internet for practical exercises

About the Publication

This course is designed and delivered by leading industry experts with years of experience in AI-driven software development and DevOps automation. The instructors provide practical insights, hands-on exercises, and real-world examples to ensure learners gain actionable skills that can be applied immediately in professional environments.

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Additional information

Authors

Abhinav Krishna

Published On

101

Language

English

Format

pdf

Size (MB)

6.63 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.9

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