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PromptOps

AI-Powered DevOps

4.3 Filled star Filled star Filled star Filled star Empty star
Based on 154 ratings
see reviews
Vimal Daga

Unlock the full potential of DevOps with the power of AI in the PromptOps Program by Mr. Vimal Daga .

This comprehensive course introduces you to cutting-edge AI tools and workflows that revolutionize how you build, deploy, and manage cloud infrastructures. Whether you’re a beginner or an experienced DevOps professional, this course is designed to empower you with practical, real-world skills to tackle industry challenges with ease.

Read more

Unlock the full potential of DevOps with the power of AI in the PromptOps Program by Mr. Vimal Daga .

This comprehensive course introduces you to cutting-edge AI tools and workflows that revolutionize how you build, deploy, and manage cloud infrastructures. Whether you’re a beginner or an experienced DevOps professional, this course is designed to empower you with practical, real-world skills to tackle industry challenges with ease.

Learn how to create and automate CI/CD pipelines using AI-driven tools like Codium, Brainboard, and Terraform. Explore the seamless integration of Jenkins for continuous integration and Kubernetes for container orchestration. Discover prompt engineering techniques to simplify complex tasks, from generating Terraform code to deploying secure and scalable cloud applications.

You’ll gain hands-on experience with tools like AWS CodeBuild, Docker, and GitHub, mastering how to securely manage credentials using AWS SSM and implement basic security scanning with Snyk. By the end of the course, you’ll know how to transform AI-generated outputs into reliable workflows and streamline your operations like never before.

Whether you're automating infrastructure or improving your workflow efficiency, this course equips you with the knowledge and skills needed to stay ahead in the fast-evolving DevOps landscape. Join today and redefine your DevOps journey.

Enroll now

What's inside

Learning objectives

  • Master the fundamentals of promptops and how simple ai-driven prompts can automate complex devops tasks.
  • Create end-to-end ci/cd pipelines using ai tools such as codium and brain builder for efficient, automated deployments.
  • Leverage tools like aws cloud, docker, kubernetes, jenkins, terraform, and github to build, deploy, and manage applications seamlessly.
  • Develop the ability to streamline workflows, eliminate manual configurations, and enhance productivity through ai automation.

Syllabus

By the end of this section, you will understand PromptOps fundamentals, identify key AI-powered DevOps tools, and establish a solid foundation to automate workflows and manage infrastructure.
Read more

Unlock the future of DevOps with AI-driven tools! In this hands-on tutorial, you’ll explore cutting-edge technologies like Codium and Brain Builder while mastering essential DevOps concepts such as AWS Cloud, Docker, Kubernetes, Jenkins, Terraform, and GitHub.

Discover how PromptOps simplifies complex tasks with simple prompts, enabling you to set up Kubernetes clusters or create end-to-end CI/CD pipelines with ease. Whether you’re new to DevOps or an experienced professional, this session will revolutionize your approach to tackling industry challenges and streamlining workflow

Dive into the world of AI-powered DevOps with this comprehensive session!

Learn how artificial intelligence can transform how you build, deploy, and manage applications on the cloud. This tutorial introduces essential tools like AWS CodeBuild, Docker, and ChatGPT, providing step-by-step guidance to streamline your DevOps workflow, even for beginners. Discover how to use Parameter Store for secure data management, select the right tools for your project, and eliminate repetitive tasks with automation.

This session bridges the gap between traditional DevOps practices and advanced AI techniques, empowering you to embrace automation and efficiency in your development processes.

Key Takeaways

  • Understand how AI can automate DevOps processes from start to finish.

  • Get hands-on with tools like AWS CodeBuild, Docker, and ChatGPT.

  • Learn to use Parameter Store for secure handling of sensitive data.

  • Gain insights into selecting the best tools for your specific project requirements.

Transform your DevOps journey with the power of AI!

In this insightful session, learn how to automate complex infrastructure setups and streamline operations using AI-driven tools. You’ll discover how to generate Terraform code to launch EC2 instances on AWS Cloud effortlessly. Understand the magic of AI prompts to simplify system design, automate tasks, and solve real-world challenges with ease.

Whether you're a beginner or a seasoned professional, this tutorial provides practical knowledge to enhance your efficiency and master DevOps automation using AI tools.

Key Takeaways

  • Learn to automate EC2 instance creation on AWS using AI-generated Terraform code.

  • Understand the role of AI prompts in simplifying infrastructure design.

  • Gain hands-on experience in leveraging AI for automating operational tasks.

  • Develop practical skills to tackle real-world DevOps challenges with AI.

Revolutionize your DevOps workflow with AI-powered infrastructure automation!

This hands-on session introduces Brainboard, an AI-driven infrastructure designer, that transforms the way you create, manage, and deploy Terraform configurations. Learn how to design complex AWS infrastructures using Brainboard’s drag-and-drop interface, automatically generate Terraform code, and deploy infrastructure with a single click.

Witness how to quickly build and launch an EC2 instance with Docker using Brainboard’s AI-driven prompts. Gain insights into troubleshooting and refining infrastructure designs, making this session a complete guide to mastering prompt-driven automation for Terraform.

Key Takeaways

  • Automate Terraform code creation, visualization, and deployment with Brainboard.

  • Design and launch AWS infrastructure effortlessly using Brainboard’s drag-and-drop features.

  • Learn how to integrate Docker and deploy EC2 instances with AI prompts.

  • Develop troubleshooting techniques to refine your infrastructure designs.

Step into the future of DevOps with this hands-on session that combines AI-driven workflows with CI/CD automation!

Learn how to streamline your app development process by integrating Brainboard, Jenkins, and AWS services. This session covers the entire pipeline, from pushing code to GitHub, building and testing it with AWS, to deploying it on Kubernetes clusters.

Discover how Brainboard’s prompt-based workflow can auto-generate Terraform configurations, cutting down development time. Master the integration of Brainboard with Jenkins to automate tasks like building Docker images and deploying applications seamlessly. Enhance your DevOps skills with real-world examples and practical demonstrations.

Key Takeaways

  • Learn to set up a complete CI/CD pipeline from GitHub to Kubernetes using Brainboard and Jenkins.

  • Use Brainboard’s AI prompts to auto-generate Terraform configurations and speed up development.

  • Automate testing and deployment workflows on AWS for secure and efficient app management.

  • Integrate Jenkins with Brainboard for automated builds, testing, and deployments.

Unlock the next level of AI-driven DevOps automation with this hands-on session!

Learn how to transform your workflow using tools like ChatGPT, Codeium, and Visual Studio Code. This session takes you through the entire process, from brainstorming app ideas to managing GitHub repositories and integrating development and operations seamlessly.

Discover a unique, practical workflow where AI simplifies complex tasks, enabling you to tackle real-world challenges effortlessly. Whether you’re designing an app or managing deployments, this approach boosts efficiency, minimizes errors, and enhances your overall DevOps expertise.

Key Takeaways

  • Learn to use ChatGPT and Codeium for app development and coding assistance.

  • Master GitHub repository creation, management, and integration with VS Code.

  • Apply AI-driven workflows to simplify development and operational tasks.

  • Develop practical skills to handle diverse use cases, from app ideation to final deployment.

Reimagine DevOps workflows with AI-driven automation!

In this hands-on session, discover how to use Codium AI to simplify the creation of Dockerfiles and build specifications for seamless integration with AWS CodeBuild and Docker Hub. Learn how to securely manage credentials using AWS Parameter Store and automate the deployment process for your web applications.

This session takes you step-by-step through the process of linking your code from GitHub to AWS CodeBuild, creating Docker images, and deploying applications with minimal manual effort. Whether you’re new to DevOps or looking to enhance your automation skills, this session provides practical knowledge to supercharge your workflows.

Key Takeaways

  • Learn how to create Dockerfiles and buildspecs using Codium AI.

  • Automate the integration of GitHub with AWS CodeBuild for efficient builds.

  • Understand how to manage secure credentials with AWS Parameter Store.

  • Streamline Docker image creation and deployment to Docker Hub.

Dive into the future of DevOps automation in this comprehensive tutorial!

Learn how to build and deploy Docker images efficiently using AI tools and AWS CodeBuild. This session explores leveraging AI to generate CI/CD pipelines, seamlessly connecting CodeBuild to your GitHub repositories and securely managing credentials with AWS SSM. Vimal demonstrates real-world debugging techniques to refine AI-generated outputs and integrate basic security scanning with Snyk, ensuring your workflows are both efficient and secure. Perfect for beginners and professionals alike, this lesson equips you with practical skills to tackle real-world DevOps challenges with minimal manual coding.

Key Takeaways:

  • Automate Docker image builds and deployments using AWS CodeBuild.

  • Leverage AI for creating CI/CD pipelines and integrating GitHub repositories.

  • Manage credentials securely with AWS Systems Manager (SSM).

  • Enhance security with basic scanning tools like Snyk.

  • Learn practical debugging to adapt AI-generated solutions for real-world scenarios.

Step into the next generation of DevOps with this in-depth tutorial!

Discover how to harness the power of AI to transform your infrastructure setup and deployment workflows. This session walks you through the process of leveraging AI-driven tools like Brainboard and Codium to build Terraform configurations, automate Docker image creation, and set up Jenkins for continuous integration and delivery (CI/CD). You’ll also learn to orchestrate deployments to Kubernetes clusters on AWS (EKS) effortlessly.

From idea to deployment, this video showcases the full pipeline automation process, including prompt engineering to generate infrastructure code, integrating secure workflows, and simplifying complex setups with minimal manual intervention. Whether you're just starting with DevOps or looking to refine your automation skills, this hands-on tutorial is your key to mastering modern DevOps practices.

Key Takeaways:

  • Prompt Engineering: Learn how to use AI to build and deploy cloud infrastructure quickly and effectively.

  • Jenkins Integration: Automate CI/CD pipelines with AI-generated Jenkins configurations.

  • Kubernetes Orchestration: Deploy applications seamlessly to Kubernetes clusters on AWS (EKS).

  • Terraform Automation: Generate and customize Terraform code for robust infrastructure-as-code setups.

  • Security and Efficiency: Explore secure credential handling and automated workflows to save time and reduce errors.

In this session, learn how to use Generative AI tools, such as ChatGPT, to troubleshoot EKS Kubernetes clusters on AWS effectively. Through real-world examples, we will demonstrate how to decode complex error messages, craft prompts for automated remediation, and pinpoint the source of problems related to networking, IAM roles, and EC2 instances using AWS tools. You'll also discover the power of "K8sgpt" for quick Kubernetes diagnostics and gain advanced prompt engineering insights to enhance troubleshooting in production environments. This session is perfect for DevOps engineers and SREs seeking practical skills for resolving cloud-based issues efficiently.

Key Takeaways:

  • Understand how Generative AI models, like ChatGPT, assist in troubleshooting EKS clusters on AWS.

  • Learn techniques for decoding and resolving complex error messages using AI-generated suggestions.

  • Gain expertise in crafting advanced prompts for automated problem remediation.

  • Explore integration of AI tools with AWS services for identifying networking, IAM, and instance-related issues.

  • Master the use of "K8sgpt" for efficient Kubernetes diagnostics and resolution.

  • Develop real-world troubleshooting skills for production environments, enhancing your efficiency and accuracy.

In this hands-on session, you’ll learn how to set up a Jenkins pipeline to trigger AWS CodeBuild in the Mumbai region. You’ll see how changes in GitHub automatically start the build process, eliminating manual work. We’ll also explore how tools like Docker, Kubernetes, Terraform, and Codium’s AI can help automate your CI/CD workflow.

What You’ll Learn:

  • Setting up Jenkins to automate builds with AWS CodeBuild

  • Integrating Docker, Kubernetes, and Terraform in your CI/CD process

  • Using Codium AI to enhance your pipeline

  • Deploying apps to Kubernetes clusters

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers AI-driven tools like Codium and Brainboard, which can automate infrastructure design and streamline the creation of Terraform configurations
Teaches how to integrate Jenkins with Brainboard to automate tasks like building Docker images and deploying applications seamlessly, enhancing DevOps skills
Explores the use of AI prompts to simplify system design, automate tasks, and solve real-world challenges, enhancing efficiency and mastering DevOps automation
Requires learners to have accounts with AWS, Docker, Kubernetes, Jenkins, Terraform, and GitHub, which may require subscriptions or incur costs
Teaches how to use Generative AI tools, such as ChatGPT, to troubleshoot EKS Kubernetes clusters on AWS effectively, which is a cutting-edge approach
Uses tools like AWS CodeBuild, Docker, and ChatGPT, providing step-by-step guidance to streamline DevOps workflow, even for beginners

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Create your own learning path. Save this course to your list so you can find it easily later.
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Reviews summary

Ai-powered devops workflows

According to learners, this course provides a solid introduction to integrating AI tools into DevOps practices. Students particularly appreciate the practical, hands-on approach and the coverage of relevant, cutting-edge tools like Brainboard and Codium alongside traditional DevOps staples like AWS, Docker, Kubernetes, and Jenkins. Many feel the course effectively demonstrates how AI can automate and streamline complex tasks, significantly boosting efficiency. However, some reviewers note that the course assumes a certain level of existing DevOps knowledge and can be challenging for complete beginners. The pace is described as fast, which is positive for experienced pros but potentially difficult for others. Overall, it's seen as a valuable resource for staying ahead in the evolving DevOps landscape.
The course moves quickly through topics.
"The course covers a lot of ground quickly. It's great if you're a busy professional but might be <span class="warning">too fast for some."
"Be prepared for a <span class="neutral">rapid pace, especially if you're not fully up to speed on all the foundational tools."
"The speed was perfect for me as I already had DevOps experience, allowing me to focus on the AI integration."
Covers modern, cutting-edge AI and DevOps tools.
"It's great to see a course covering the <span class="positive">latest AI tools like Codium and Brainboard in a DevOps context."
"The topic of <span class="positive">PromptOps is very current and relevant to where the industry is heading."
"This course helped me understand how to stay <span class="positive">ahead in the fast-evolving DevOps landscape."
"The integration of AI with existing tools feels very <span class="positive">up-to-date and useful."
Provides practical labs and demonstrations.
"The <span class="positive">hands-on labs were crucial for understanding the concepts and integrating the tools like Jenkins and AWS CodeBuild."
"I appreciated the <span class="positive">step-by-step guidance on building the CI/CD pipeline... Seeing it in action made a big difference."
"There are many <span class="positive">practical demonstrations on using Brainboard for infrastructure design and deployment."
"I gained valuable <span class="positive">practical skills by following along with the exercises."
Shows how AI tools apply to real DevOps tasks.
"This course really shows how to use AI like Codium and Brainboard to automate DevOps tasks. The <span class="positive">demos were practical."
"I liked seeing how tools like ChatGPT can actually help <span class="positive">troubleshoot Kubernetes issues. Very applicable to my job."
"Learning to generate Terraform code with AI prompts was a game-changer. It <span class="positive">streamlines the infrastructure setup a lot."
"The hands-on examples demonstrate the <span class="positive">power of AI in speeding up CI/CD pipelines and managing cloud infrastructure."
Setting up the lab environment can be difficult.
"Getting the environment set up to follow the labs was a bit tricky and took some time to troubleshoot."
"Some of the tool integrations required specific configurations that weren't always straightforward to replicate."
"I had minor issues getting Jenkins to trigger AWS CodeBuild correctly initially."
Needs prior knowledge of core DevOps tools.
"While the AI part is new, you definitely need to know AWS, Docker, and K8s basics coming into this. It's <span class="negative">not for absolute beginners."
"The course moves very fast, assuming you're already familiar with most of the traditional DevOps tools covered."
"If you don't have a solid foundation in cloud and containerization, you might find the pace and content <span class="negative">challenging."
"I struggled a bit because my AWS and Kubernetes knowledge wasn't as strong as needed for some sections."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in PromptOps : AI-Powered DevOps with these activities:
Review Cloud Computing Fundamentals
Solidify your understanding of cloud computing concepts to better grasp the AI-driven DevOps workflows covered in the course.
Browse courses on Cloud Computing Fundamentals
Show steps
  • Review the different cloud deployment models (IaaS, PaaS, SaaS).
  • Familiarize yourself with core cloud services offered by AWS, Azure, and GCP.
  • Understand basic cloud security principles.
Brush Up on Docker Fundamentals
Reinforce your Docker skills to effectively utilize containerization in AI-powered DevOps pipelines.
Show steps
  • Practice building Docker images from Dockerfiles.
  • Learn how to run and manage Docker containers.
  • Experiment with Docker Compose for multi-container applications.
Read 'The DevOps Handbook'
Gain a deeper understanding of DevOps principles and practices to better appreciate the impact of AI-driven automation.
View The DevOps Handbook: How to Create World-Class... on Amazon
Show steps
  • Read the sections on continuous integration, continuous delivery, and feedback loops.
  • Reflect on how AI can improve each of these areas.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Terraform Practice Challenges
Sharpen your Terraform skills by completing practice challenges that simulate real-world infrastructure automation scenarios.
Show steps
  • Set up a basic AWS infrastructure using Terraform.
  • Automate the deployment of an EC2 instance with Terraform.
  • Manage AWS resources using Terraform modules.
Blog Post: AI in DevOps
Solidify your understanding of AI-powered DevOps by writing a blog post that explores its benefits, challenges, and real-world applications.
Show steps
  • Research the current state of AI in DevOps.
  • Outline the key benefits and challenges of AI-driven DevOps.
  • Write a blog post that is at least 500 words long.
  • Publish your blog post on a platform like Medium or LinkedIn.
Automated CI/CD Pipeline with AI Assistance
Apply your knowledge by building an automated CI/CD pipeline for a sample application, leveraging AI tools for code generation and infrastructure provisioning.
Show steps
  • Choose a sample application to deploy.
  • Use AI tools to generate Terraform code for infrastructure provisioning.
  • Set up a CI/CD pipeline using Jenkins or AWS CodePipeline.
  • Automate the deployment of the application to a Kubernetes cluster.
Read 'Kubernetes in Action'
Deepen your understanding of Kubernetes to effectively manage and orchestrate containerized applications in AI-powered DevOps environments.
View Kubernetes in Action, Second Edition on Amazon
Show steps
  • Read the sections on Kubernetes deployments, services, and networking.
  • Experiment with different Kubernetes deployment strategies.

Career center

Learners who complete PromptOps : AI-Powered DevOps will develop knowledge and skills that may be useful to these careers:
AI Ops Engineer
An AI Ops Engineer leverages artificial intelligence to automate and improve IT operations, enhancing efficiency and reducing downtime. This course helps aspiring AI Ops Engineers learn how to use the AI tools and workflows. The course introduces essential tools like AWS CodeBuild, Docker, and ChatGPT, providing step-by-step guidance to streamline your DevOps workflow, even for beginners. Discover how to use Parameter Store for secure data management, select the right tools for your project, and eliminate repetitive tasks with automation.
See salaries and explore the career path for AI Ops Engineer
DevOps Engineer
A DevOps Engineer is responsible for automating and streamlining the software development lifecycle, from code integration to deployment. This course helps aspiring DevOps Engineers to automate complex DevOps tasks using simple AI-driven prompts. You'll discover how to create end-to-end CI/CD pipelines using AI tools such as Codium and Brain Builder for efficient, automated deployments, which are critical for a DevOps Engineer. The course also teaches you to leverage tools like AWS Cloud, Docker, Kubernetes, Jenkins, Terraform, and GitHub to seamlessly build, deploy, and manage applications, further enhancing your skills as a DevOps Engineer.
See salaries and explore the career path for DevOps Engineer
Automation Engineer
An Automation Engineer designs, develops, and implements automation solutions to improve efficiency and reduce manual effort in various processes. For Automation Engineers, this course is great. You'll explore cutting-edge technologies like Codium and Brain Builder while mastering essential DevOps concepts such as AWS Cloud, Docker, Kubernetes, Jenkins, Terraform, and GitHub. Also, you will discover how PromptOps simplifies complex tasks with simple prompts, enabling you to set up Kubernetes clusters or create end-to-end CI/CD pipelines with ease.
See salaries and explore the career path for Automation Engineer
Cloud Architect
A Cloud Architect is responsible for an organization's cloud computing strategy, including design, planning, and governance. This course is useful for Cloud Architects who want to learn how AI can automate DevOps processes from start to finish. You'll get hands-on experience with tools like AWS CodeBuild, Docker, and ChatGPT. In particular, you will learn to use Parameter Store for secure handling of sensitive data, and you'll gain insights into selecting the best tools for your specific project requirements.
See salaries and explore the career path for Cloud Architect
Cloud Engineer
A Cloud Engineer designs, plans, manages, and maintains cloud computing systems. This course is useful for Cloud Engineers learning to use AI to automate cloud infrastructure creation and management. You will learn to automate EC2 instance creation on AWS using AI-generated Terraform code. You'll also understand the role of AI prompts in simplifying infrastructure design, and you'll gain hands-on experience in leveraging AI for automating operational tasks. The skills you develop here will help you tackle real-world DevOps challenges with AI as a Cloud Engineer.
See salaries and explore the career path for Cloud Engineer
Platform Engineer
A Platform Engineer designs, builds, and maintains the internal platforms and tools that enable software development and deployment. This course can help Platform Engineers in automating complex infrastructure setups and streamline operations using AI-driven tools. You’ll discover how to generate Terraform code to launch EC2 instances on AWS Cloud effortlessly. You will also understand the magic of AI prompts to simplify system design and automate tasks, enabling you to solve real-world challenges with ease.
See salaries and explore the career path for Platform Engineer
Infrastructure Engineer
An Infrastructure Engineer is responsible for designing, building, and maintaining the infrastructure that supports an organization's IT systems. This course can help aspiring Infrastructure Engineers in automating complex infrastructure setups and streamline operations using AI-driven tools. You’ll discover how to generate Terraform code to launch EC2 instances on AWS Cloud effortlessly. You will also understand the magic of AI prompts to simplify system design and automate tasks, enabling you to solve real-world challenges with ease as an Infrastructure Engineer.
See salaries and explore the career path for Infrastructure Engineer
Release Engineer
A Release Engineer manages and automates the software release process, ensuring smooth and efficient deployments. This course may be useful for Release Engineers as the course covers how to streamline the app development process by integrating Brainboard, Jenkins, and AWS services. This session covers the entire pipeline, from pushing code to GitHub, building and testing it with AWS, to deploying it on Kubernetes clusters. Release Engineers will also discover how Brainboard’s prompt-based workflow can auto-generate Terraform configurations, cutting down development time.
See salaries and explore the career path for Release Engineer
Solutions Architect
A Solutions Architect designs and implements IT solutions, ensuring they align with business needs and technical requirements. This course equips a Solutions Architect with the knowledge of AI-driven automation to transform the way infrastructure is created, managed, and deployed. By learning how to design complex AWS infrastructures using Brainboard’s drag-and-drop interface, automatically generate Terraform code, and deploy infrastructure with a single click, a Solutions Architect can significantly improve efficiency and effectiveness.
See salaries and explore the career path for Solutions Architect
Site Reliability Engineer
A Site Reliability Engineer, or SRE, ensures the reliability, scalability, and performance of software systems in production. This course may be useful for SREs in learning how to use Generative AI tools, such as ChatGPT, to troubleshoot EKS Kubernetes clusters on AWS effectively. Through real-world examples, you will discover how to decode complex error messages, craft prompts for automated remediation, and pinpoint the source of problems related to networking, IAM roles, and EC2 instances using AWS tools.
See salaries and explore the career path for Site Reliability Engineer
Security Automation Engineer
A Security Automation Engineer automates security processes and implements security tools to protect systems and data. This course may be useful for Security Automation Engineers as it explores leveraging AI to generate CI/CD pipelines, seamlessly connecting CodeBuild to GitHub repositories and securely managing credentials with AWS SSM. It also demonstrates debugging techniques to refine AI-generated outputs and integrate basic security scanning with Snyk, ensuring your workflows are both efficient and secure.
See salaries and explore the career path for Security Automation Engineer
Software Developer
A Software Developer designs, codes, and tests software applications. This course helps Software Developers learn how to use ChatGPT and Codeium for app development and coding assistance. You'll master GitHub repository creation, management, and integration with VS Code, and you'll apply AI-driven workflows to simplify development and operational tasks. You will also develop practical skills to handle diverse use cases, from app ideation to final deployment.
See salaries and explore the career path for Software Developer
Systems Administrator
A Systems Administrator is responsible for the upkeep, configuration, and reliable operation of computer systems and servers. This course can help Systems Administrators to automate the integration of GitHub with AWS CodeBuild for efficient builds. You'll understand how to manage secure credentials with AWS Parameter Store, and you'll learn to streamline Docker image creation and deployment to Docker Hub. Tools such as Codium AI can also simplify the creation of Dockerfiles and build specifications for seamless integration.
See salaries and explore the career path for Systems Administrator
Technical Lead
A Technical Lead guides a team of developers and oversees the technical aspects of a project. This course may be useful for Technical Leads as you'll see how changes in GitHub automatically start the build process, eliminating manual work. We’ll also explore how tools like Docker, Kubernetes, Terraform, and Codium’s AI can help automate your CI/CD workflow. This understanding can help you in your oversight
See salaries and explore the career path for Technical Lead
IT Manager
An IT Manager oversees an organization's information technology infrastructure and resources. This course may be useful for IT managers who want to learn about unlock[ing] the future of DevOps with AI-driven tools. In this hands-on tutorial, you’ll explore cutting-edge technologies like Codium and Brain Builder while mastering essential DevOps concepts such as AWS Cloud, Docker, Kubernetes, Jenkins, Terraform, and GitHub.
See salaries and explore the career path for IT Manager

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in PromptOps : AI-Powered DevOps.
Cover image
The DevOps Handbook
Save
Provides a comprehensive overview of DevOps principles and practices, covering topics such as continuous integration, continuous delivery, and automation. It offers practical guidance on how to implement DevOps in real-world organizations, making it a valuable resource for understanding the broader context of PromptOps. It is particularly useful for those new to DevOps or seeking a deeper understanding of its core concepts.
The DevOps Handbook: How to Create World-Class...
Paperback
$$
The DevOps Handbook: How to Create World-Class...
Kindle Edition
$$
Cover image
Kubernetes in Action, Second Edition
Save
Offers a comprehensive introduction to Kubernetes, covering topics such as container orchestration, deployment strategies, and service discovery. It valuable resource for understanding the underlying principles of Kubernetes, which key component of many PromptOps workflows. It is commonly used as a textbook for Kubernetes training.
Kubernetes in Action, Second Edition
Paperback
$$$

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Course image
Rating
4.3 Filled star Filled star Filled star Filled star Empty star
Effort
6.5 total hours
Via
Udemy
Instructor
Vimal Daga
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Covers AI-driven tools like Codium and Brainboard, which can automate infrastructure design and streamline the creation of Terraform configurations
Teaches how to integrate Jenkins with Brainboard to automate tasks like building Docker images and deploying applications seamlessly, enhancing DevOps skills
Explores the use of AI prompts to simplify system design, automate tasks, and solve real-world challenges, enhancing efficiency and mastering DevOps automation
Requires learners to have accounts with AWS, Docker, Kubernetes, Jenkins, Terraform, and GitHub, which may require subscriptions or incur costs
Teaches how to use Generative AI tools, such as ChatGPT, to troubleshoot EKS Kubernetes clusters on AWS effectively, which is a cutting-edge approach
Uses tools like AWS CodeBuild, Docker, and ChatGPT, providing step-by-step guidance to streamline DevOps workflow, even for beginners
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