Generative AI (GenAI) for DevOps and DevSecOps Engineers
What you'll learn
- Create Spring Boot Rest API application to implement Gen AI using Open source models and feed live data to these Gen AI Models
- Implement PersonalGPT using open source Gen AI Models at $0 cost
- Understand AI and ML Fundamentals from basic AI terms to complex terms like Models with real life scenario
- Learn Prompt Engineering strategies to effectively use Gen AI Models for DevOps and DevSecOps tasks
- Utilize Generative Models for DevOps and DevSecOps tasks
- Run Gen AI Models on your local system
- Learn to use Python SDKs for AI Integration
- Execute Real-World Case Studies for DevOps and DevSecOps tasks
Requirements
- Basic Understanding of DevOps and DevSecOps
Description
Course Updates:
v 3.0 - April 2025
Made updates to Lecture 18 for installing Conda as per latest changes
Fixed library issues in Lecture 21 Implementing our PersonalGPT
v 2.0 - December 2024
Added Spanish subtitles
v 1.0 - October 2024
Added Quiz in Section 2
Course Description:
Unlock the future of DevOps with our comprehensive course, "Mastering Generative AI for DevOps Engineers." This program is designed to bridge the gap between AI theory and practical applications, equipping you with the skills to leverage generative AI in your DevOps and DevSecOps workflows.
Course Highlights:
Foundations of AI and ML: Begin with a solid understanding of artificial intelligence and machine learning, including their types and core principles. Learn the basics of generative models and how they can be applied in the DevOps domain.
Exploring Generative Models: Dive into the workings of models like ChatGPT and Copilot. Understand their architecture, capabilities, and how they can enhance your DevOps practices.
Prompt Engineering: Gain expertise in prompt engineering to effectively communicate with AI models. Learn techniques to craft prompts that elicit precise and useful responses for various DevOps tasks.
AI Model Integration with Python: Discover how to use generative AI models with Python SDKs, even without internet connectivity. Learn to implement and utilize these models in your local environment for maximum flexibility and security.
Case Study Implementation: Apply your knowledge in a practical case study. Develop a personal GPT model to read and analyze log files, identifying errors and providing actionable insights for DevOps and DevSecOps tasks.
Hands-On Learning: Engage in interactive exercises and real-world scenarios to reinforce your learning. Develop your own AI-driven solutions and see how generative models can address specific challenges in DevOps environments.
Who Should Enroll:
This course is tailored for DevOps engineers, IT professionals, and technologists eager to integrate generative AI into their workflows. Whether you're new to AI or looking to expand your knowledge, this course will provide you with practical skills and insights to enhance your DevOps practices.
Join us to explore how generative AI can transform your DevOps operations and gain a competitive edge with innovative, AI-driven solutions!
Note: Subtitles for this course are autogenerated using advanced tools and might contain minor inaccuracies. We recommend using them as a helpful guide rather than a definitive source. Thank you for understanding!
Who this course is for:
- DevOps Engineers
- DevSecOps Engineers
- IT Engineers
- Technologists and Engineers
- Machine Learning Enthusiasts
- Automation and Security Professionals
Instructor
- 4.4 Instructor Rating
- 8,122 Reviews
- 52,805 Students
- 31 Courses
With over 20 years of experience in security, automation, development, Gen AI and teaching, I’ve mastered and earned numerous prestigious certifications across Microsoft, Google, and AWS cloud platforms. I’m passionate about both learning and teaching new technologies, always eager to explore the latest advancements. I take pride in guiding students and professionals, offering hands-on, interactive learning experiences that empower them to upskill effectively. Whether it’s diving deep into security concepts or navigating cloud infrastructure, I’m here to make complex topics approachable and engaging.