Generative AI for DevOps & Cloud Automation Training
AI-assisted IaC generation, automated log analysis with LLMs, custom DevOps AI agents, and local LLM deployment (Ollama/vLLM) for security.
Why This Program Stands Out
- ✓Instructor-Led Live Training with Real-Time Production Labs
- ✓Hands-on practice across Linux, Docker, Kubernetes, CI/CD, AWS & Terraform
- ✓Job-Ready Portfolio Building & Resume Optimization
- ✓End-to-end support from Learning -> Live Projects -> Interviews -> Job Placement
Generative AI for DevOps & Cloud Automation Training
Hands-on Practice & Production Workflows
Our Secret Sauce for Exam and Career Success
Training Mode & Deliverables
Live, 1-to-1, or corporate · Recordings & live labs
Comprehensive Masterclass
Exam-ready + job-ready in one program
Flexible Learning Options
Your pace · 24/7 access · Mentor support
Lifetime Support
Resources, resume & interview prep, placement assistance
Learn DevOps Through Hands-On Practice
Build practical technology skills through instructor-led training, hands-on labs and real-world projects across DevOps, cloud, Kubernetes and AI. Rather than learning isolated command syntax from pre-recorded videos, you build end-to-end continuous integration and continuous delivery (CI/CD) pipelines, orchestrate microservices, and manage resilient cloud infrastructure hands-on.
What You'll Learn
DevOps Tools & Technologies
Course Curriculum
Module 1: GenAI Fundamentals for Cloud & DevOps Engineers
Prompt engineering patterns for IaC generation, shell commands, and log diagnosis.
Module 2: AI-Assisted Infrastructure as Code Development
Generating Terraform modules, Kubernetes manifests, and Dockerfiles with AI validation.
Module 3: Automated Incident Analysis & Log Summarization with LLMs
Parsing complex stack traces and Kubernetes events using structured AI prompts.
Module 4: Building Custom DevOps AI Agents with LangChain / LlamaIndex
Connecting AI agents to Prometheus, AWS CloudWatch, and Slack for triage.
Module 5: GenAI in CI/CD Pipelines & Automated PR Reviewers
Creating GitHub Actions that analyze pull requests for security and performance.
Module 6: Self-Hosted LLMs for Sensitive Enterprise Environments
Running Llama 3 / Mistral locally with Ollama and vLLM without sending data to external APIs.
Module 7: Capstone AI-Powered Self-Healing Cloud Project
Creating an automated agent that detects K8s pod crashes, analyzes logs, and opens fix PRs.
Who Should Take This Training?
📋 Prerequisites
- ✓Background in DevOps operations
- ✓Basic Python or Shell scripting
- ✓Familiarity with REST APIs
- ✓Basic understanding of machine learning concepts
🎓 Training Format
Instructor-Led Live Online Sessions | 8 Weeks | Advanced AI & Cloud Labs
Projects & Practical Labs
AI Incident Triage & Log Summarization Agent
Deploy an automated pipeline that intercepts Prometheus alertmanager webhooks, analyzes logs with LLMs, and sends diagnostic summaries to Slack.
Self-Hosted AI Assistant for Internal Developer Platform
Set up an internal coding and IaC assistant powered by Llama 3 running inside an enterprise VPC.
Frequently Asked Questions
Enroll in DevOps Training
Start Your DevOps Learning Journey
Build practical technology skills through instructor-led training, hands-on labs and real-world projects across DevOps, cloud, Kubernetes and AI.