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Course
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Practical Applications of Generative AI in DevOps
Learn how to unlock the power of generative AI in DevOps by automating Infrastructure as Code, streamlining incident management, and enhancing testing workflows.
What you'll learn
Transform the way you approach DevOps with the power of generative AI. In this course, Practical Applications of Generative AI in DevOps, you'll go on a journey to solve real-world challenges faced by DevOps teams, using AI-driven tools and strategies to enhance efficiency, reduce errors, and deliver reliable solutions faster. First, you’ll learn to streamline cloud infrastructure provisioning, starting with AI-generated Terraform configurations, optimizing Ansible playbooks, and validating Kubernetes manifests. Next, you'll dive into incident management, a critical area for any DevOps team, and discover how to cut through alert fatigue with AI tools that analyze historical incident data, uncover patterns, and propose actionable remediation steps. Finally, you'll focus on automated test case generation, a transformative approach to guaranteeing application reliability. By the end of this course, you’ll have the skills and knowledge of generative AI in DevOps needed to provision infrastructure, resolve incidents, and automate testing.
Table of contents
About the author
As a seasoned engineer with over 12 years of experience, I am deeply committed to mentorship, sharing my wealth of experience, and staying at the forefront of cutting-edge technologies. I bring a unique blend of theoretical knowledge and practical skills to the table. My expertise lies in guiding and mentoring aspiring developers through challenging projects across the entire lifecycle. My technical proficiency spans full stack development, software architecture, cloud computing, DevOps, and automation. Utilizing a versatile toolkit that includes .NET, Microsoft Azure, Nodejs, Nextjs, JavaScript, PHP, Hacklang, SQL, CQL, Angularjs and React, I specialize in crafting scalable and reliable applications that meet the demands of modern development. I have a lot of AI ideas to share and mentor and have been embracing AI as one of the current challenges to tackle. In addition to my hands-on work, I am a dedicated contributor to the development community. I have published courses and also actively share my insights and expertise with fellow developers. Passionate about solving complex problems, embracing new technologies, and fostering collaboration within cross-functional teams, I am driven by a goal to create impactful and innovative solutions that elevate user experience and enhance business value. My commitment to mentorship and continuous learning reflects my belief in the power of shared experiences and staying at the cutting edge of the ever-evolving tech landscape.
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