About Our Generative AI for DevOps Engineers Training, United States

Our Generative AI for DevOps Engineers Training in the United States equips professionals with cutting-edge AI and ML Fundamentals knowledge and practical expertise in integrating Generative AI and Prompt Engineering into DevOps workflows. Our Generative AI for DevOps Engineers training and course covers tools like Python SDKs, enabling seamless automation of DevOps and DevSecOps tasks, such as log analysis and CI/CD pipeline enhancements. By leveraging generative models, including OpenAI's ChatGPT and Google Bard, participants will gain skills to optimize workflows and deployments for greater efficiency.

Who can join this course

DevOps Engineers
DevSecOps Engineers
IT Engineers
Technologists and Engineers
Machine Learning Enthusiasts
Automation and Security Professionals

Prerequisites:

Basic understanding of DevOps Principles
Familiarity with Python programming concepts

Course duration

2 Weeks based on the mode of training

Mode of training- Flexible

Online students- flexibility of self-paced learning, video content, and text content
Offline students- Instructor-led training, video-based content, and text-based content
Weekdays, Weekends, and Customized Days as per the request

Career opportunity

AI-powered DevOps Engineer
Machine Learning Engineer for DevOps
Automation Architect
Site Reliability Engineer (SRE)

Get Quote

Key Highlights

Live or virtual instructor-led classes
Browse course details, syllabus and demo videos
Quality course material provided
Become a certified expert on the subject
Instant access to reference material
Get high-pay jobs offers post-training

Upcoming Instructor-Led Generative AI For DevOps Engineers Class Date & Time as on June 21, 2025

Refresh

Any

Jun 23 2025

Generative AI For DevOps Engineers

Online

1 Trainer available

Get Quote

Jun 24 2025

Generative AI For DevOps Engineers

Online

1 Trainer available

Get Quote

Jun 25 2025

Generative AI For DevOps Engineers

Online

1 Trainer available

Get Quote

Jun 26 2025

Generative AI For DevOps Engineers

Online

1 Trainer available

Get Quote

Jun 27 2025

Generative AI For DevOps Engineers

Online

1 Trainer available

Get Quote

Find best Generative AI For DevOps Engineers learning centers

Any

Generative AI For DevOps Engineers - IT Tutor PRO

83 students Enrolled
100% Job assistance
Guaranteed classes

IT Tutor PRO in Burlington,MA provides Online Generative AI For DevOps Engineers training with real time examples, course materialsand facilities such as Placement

Other Courses
Building Data Science Skills With Generative AI
Agile Scrum BA
Graphics Designer
PMI Agile
SAS Consultant
+ More

Online
Training and Placement

Generative AI For DevOps Engineers

Contact instructor

DevOps training modules

Certified educators for Generative AI For DevOps Engineers training programs

Educators for Generative AI For DevOps Engineers training programs

About Generative AI For DevOps Engineers training

Overview of Our Generative AI for DevOps Engineers Training
Our Generative AI for DevOps Engineers training program dives into Generative AI and Prompt Engineering, focusing on tools like Generative Pre-trained Transformer (GPT) models and their practical application in DevOps. In our Generative AI for DevOps Engineers course Participants will explore GenAI to automate repetitive tasks, such as generating infrastructure scripts and detecting anomalies in logs. Additionally, the program emphasizes AI Model Integration with Python, providing hands-on experience with Python SDKs to build scalable solutions for real-world DevOps scenarios.
The objective of Our Generative AI for DevOps Engineers course
Our Generative AI for DevOps engineers course aims to empower engineers to harness Exploring Generative Models like ChatGPT for DevOps use cases, such as automated documentation and security monitoring. The course aims to refine your expertise in prompt engineering, including crafting context-aware prompts using instruction, input data, and output format. By the end of the program, learners will confidently apply GenAI to optimize deployments, enhance task automation, and implement innovative DevSecOps practices.
What You Will Learn in This Course
1. Understand AI and ML Fundamentals for a strong foundation in generative technologies.
2. Master Prompt Engineering is used to build efficient AI-driven workflows.
3. Learn AI Model Integration with Python to streamline DevOps operations.
4. Explore generative models, including GPT models, ChatGPT, and Google Bard.
5. Apply GenAI to automate repetitive tasks and enhance DevOps efficiency.
6. Implement innovative GenAI DevOps use cases like log analysis and pipeline optimization.

Generative AI For DevOps Engineers syllabus

Introduction to Generative AI and DevOps
Overview of Generative AI concepts and applications.
Integration of AI in DevOps practices.
Understanding the impact of AI on software development and operations.
AI Fundamentals for DevOps Engineers
Basics of machine learning and deep learning.
Introduction to Large Language Models (LLMs) and transformer architectures.
Tools and frameworks: PyTorch, TensorFlow, Hugging Face.
Generative AI Models and Tools
Exploration of models like ChatGPT, GPT-4, and BERT.
Hands-on with tools such as GitHub Copilot and Amazon CodeWhisperer.
Implementing AI-driven code generation and completion.
Prompt Engineering for DevOps
Techniques for crafting effective prompts for AI models.
Utilizing prompt engineering tools like IBM Watsonx and Prompt Lab.
Best practices for prompt optimization in DevOps scenarios.
AI in Continuous Integration/Continuous Deployment (CI/CD)
Automating CI/CD pipelines with AI.
AI-driven testing and quality assurance.
Enhancing deployment strategies using generative models.
Infrastructure as Code (IaC) and AI
Generating and managing IaC templates with AI assistance.
Case studies on AI-optimized infrastructure provisioning.
Tools: Ansible AI, Terraform with AI integration.
Monitoring and Incident Management with AI
AI-powered system monitoring and anomaly detection.
Automated incident response and root cause analysis.
Implementing AI agents for proactive system management.
Ethical Considerations and Challenges
Understanding ethical implications of AI in DevOps.
Addressing biases and ensuring fairness in AI models.
Strategies for responsible AI integration.
Hands-On Projects and Case Studies
Building AI-driven chatbots for DevOps support.
Developing AI models for log analysis and error detection.
Implementing AI solutions for automated documentation.

FAQ's on Generative AI For DevOps Engineers training & certification

What are the Best AI Tools for DevOps Engineers?
The best AI tools for DevOps engineers include GitHub Copilot for code suggestions, Ansible AI for automating configurations, Dynatrace for intelligent monitoring, Harness for continuous delivery insights, and Puppet with AI-driven automation. These tools streamline workflows, enhance productivity, and improve system reliability by integrating AI into DevOps pipelines.
What is a DevOps AI Agent?
A DevOps AI agent is an intelligent system or software that leverages artificial intelligence to automate tasks, monitor processes, and make predictive decisions in a DevOps environment. Examples include agents for anomaly detection, infrastructure automation, and resource optimization, enabling teams to enhance efficiency and reduce manual interventions.
What are the Generative AI Tools for DevOps That This Course Covers?
This course covers generative AI tools like ChatGPT, GitHub Copilot, Amazon CodeWhisperer, and Tabnine. These tools assist in generating scripts, automating documentation, and providing real-time suggestions for coding and configuration tasks, tailored to DevOps processes.
What are Some Generative AI Use Cases in Software Engineering Covered While Training?
Some generative AI use cases in software engineering covered in the training include:

Code Generation: Using AI to auto-generate code snippets for everyday tasks.
Test Case Creation: Generating unit tests and integration tests automatically.
Incident Analysis: Summarizing logs and identifying root causes of failures.
Continuous Integration/Continuous Deployment (CI/CD): Automating pipeline scripts and configurations.
Documentation: Creating automated documentation for code and processes.
Which AI is Best for DevOps Engineers?
Dynatrace, GitHub Copilot, Ansible AI, and AWS AI Services are among the best AI tools for DevOps engineers. These tools provide predictive insights, streamline automation, and enhance the DevOps lifecycle by integrating intelligence into monitoring, deployment, and operational tasks.
How Can Generative AI Be Used in DevOps?
Generative AI can be used in DevOps for various purposes, including:
Automating Configuration Management: Generating YAML or JSON files for infrastructure as code.
Monitoring and Alerts: Analyze logs and create incident alerts based on predictive patterns.
Pipeline Optimization: Enhancing CI/CD processes by generating efficient scripts.
Knowledge Management: Summarizing operational incidents and generating knowledge base articles.
How to Learn AI for DevOps Engineer?
Understand DevOps Concepts: Gain a strong foundation in CI/CD, infrastructure as code, and automation.

Learn AI Basics: Familiarize yourself with machine learning and AI fundamentals.
Explore AI Tools: Experiment with tools like GitHub Copilot, TensorFlow, and AI-driven monitoring systems.
Take Courses: Enroll in online courses focusing on AI for DevOps, covering tools, frameworks, and use cases.
Build Projects: Apply learning to projects such as automated pipeline setups or AI-driven monitoring systems.
How to Use ChatGPT as a DevOps Engineer?
Script Writing: Generate shell scripts, YAML files, or Terraform configurations.
Debugging Assistance: Analyze error logs and suggest solutions.
Knowledge Base: Provide instant explanations of DevOps concepts and best practices.
Task Automation: Draft email templates or process documentation.
Learning Resource: Act as a learning assistant for new tools or technologies.
Can ChatGPT Replace DevOps Engineer?
ChatGPT cannot replace a DevOps engineer. While it can automate repetitive tasks and provide assistance, DevOps engineers bring critical thinking, problem-solving, and domain expertise essential for managing complex systems and ensuring seamless operations.
Will DevOps Be Replaced by AI?
AI is unlikely to replace DevOps entirely. Instead, it will augment DevOps practices by automating repetitive tasks, improving system monitoring, and enhancing decision-making. Human expertise will remain vital for managing complex systems, designing strategies, and addressing unforeseen challenges.

Generative AI for DevOps Engineers training and certification

After completing Generative AI for DevOps Engineers training and certification with Sulekha's partnered course providers, you'll be ready to explore job opportunities with top IT companies in the USA or your local area. We focus on equipping you with the skills needed by leading organizations and helping you connect with career opportunities in industry giants like Amazon, Microsoft, Google, and more.

AI-related courses

Generative AI for Business Intelligence (BI and AI)

Generative AI for Business Analysis

AI for Business Analyst

AI in Business Analytics

AI and Data Science for Business Analyst

About our Generative AI for DevOps Engineers training and placement

Sulekha partnered with many recognized course providers. Our Generative AI for DevOps Engineers course providers offer online and offline classes and train them to get placed in reputed and top companies. We offer a blended and balanced learning experience, which helps participants gain knowledge and skills.

Generative AI for DevOps Engineers Offline training

Face-to-face interactions can significantly enhance your education and career. That's why we offer instructor-led training sessions, providing opportunities for personal connections that can make a real difference in your learning experience.

Generative AI for DevOps Engineers training online

Our online students benefit from the flexibility of self-paced learning. At the end of most lessons, you'll find an online discussion with instructors and peers to accelerate your learning experience.