AI Automation for DevOps Teams
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Course Overview
Table of Contents
Program Syllabus
Module 1
About
The “AI Automation for DevOps Teams” program is designed to bridge the gap between traditional DevOps practices and emerging AI-driven automation. This course empowers DevOps engineers, SREs, and operations teams to integrate artificial intelligence and machine learning into their workflows. Participants will explore AI-based predictive maintenance, anomaly detection, intelligent alerting, automated testing, deployment automation, and more.
Through real-world scenarios and hands-on activities, this program fosters deep understanding of AI applications in DevOps, enabling teams to scale, optimize, and secure their infrastructure more intelligently.
Module 2
Aim
To equip DevOps professionals with cutting-edge AI and automation skills to streamline CI/CD pipelines, improve infrastructure monitoring, and boost team efficiency through intelligent automation strategies.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI Automation for DevOps Teams
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
Program Objectives
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Introduce the core principles of AI-augmented DevOps
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Equip learners with hands-on experience in intelligent automation
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Enable the development and deployment of ML models within DevOps pipelines
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Build readiness for next-generation DevOps job roles
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Foster continuous learning in AIOps and platform engineering
Module 4
Program Structure
🗓️ Week 1: Foundations of AI‑Driven DevOps
Module 1: DevOps Lifecycle & AI Integration
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Chapter 1.1: DevOps Stages Refresher: CI/CD, Monitoring, IaC
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Chapter 1.2: AI/ML Essentials for Ops Teams
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Chapter 1.3: AI Opportunities Across DevOps
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Use cases from code to postmortem
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Module 2: Toolchains & Architectures
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Chapter 2.1: GitHub Copilot, AIOps Tools, MLflow
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Chapter 2.2: Designing AI-Ready DevOps Architectures
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Chapter 2.3: Enabling Data Flow for ML Models in DevOps
🗓️ Week 2: Code, Testing & Deployment Automation
Module 3: Code Intelligence & CI/CD Acceleration
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Chapter 3.1: AI-Driven Code Review & Security Analysis
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Chapter 3.2: Smart Testing & Flaky Test Detection
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Chapter 3.3: Predictive Builds and Release Optimizations
Module 4: AIOps in Monitoring & Response
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Chapter 4.1: Anomaly Detection in Logs & Metrics
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Chapter 4.2: Root Cause Analysis and Correlation
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Chapter 4.3: Auto-Remediation and Intelligent Alerts
🗓️ Week 3: Infrastructure, Governance & Case Studies
Module 5: Smart Infrastructure and Scaling AI Ops
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Chapter 5.1: AI for IaC (Terraform, Pulumi)
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Chapter 5.2: Drift Detection & Self-Healing Templates
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Chapter 5.3: AI Predictions for Scaling and Failover
Module 6: Ethics, Governance & Real-World Impact
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Chapter 6.1: AI Explainability in Ops Contexts
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Chapter 6.2: Policy-as-Code with AI Enforcement
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Chapter 6.3: Industry Case Studies + Roadmap Planning
Module 5
🎥 Video Module TOC (~20 hours)
📽️ Week 1 Videos (~6.5 hours)
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DevOps Lifecycle 101 (25 min)
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Intro to AI for DevOps (30 min)
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Use Cases Deep Dive (30 min)
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AIOps Tools Tour (30 min)
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Data Enablement for Models (30 min)
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Building AI-Ready Architectures (35 min)
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Summary & Quiz Review (30 min)
📽️ Week 2 Videos (~7 hours)
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Code Review with AI Demo (30 min)
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Security Scan Bots (30 min)
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Smart Testing Explained (45 min)
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Predictive Build Failures (40 min)
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RCA Techniques with ML (30 min)
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Auto-Alert Generation (30 min)
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End-to-End CI/CD Pipeline Example (45 min)
📽️ Week 3 Videos (~6.5 hours)
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IaC Optimization with AI (30 min)
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Predictive Scaling Models (30 min)
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Compliance via Policy-as-Code (30 min)
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DevOps Ethics in AI Usage (30 min)
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Real-World DevOps AI Case Study (45 min)
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Building Your AI DevOps Roadmap (45 min)
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Final Capstone Walkthrough (30 min)
Module 6
🎓 Live Lecture Series
🎤 Lecture 1 (Week 1)
Title: Laying the AI Foundation in DevOps
Duration: 60 minutes
Guest: DevOps AI Architect
Interactive: Toolchain Walkthrough & Q/A
🎤 Lecture 2 (Week 2)
Title: Pipeline Intelligence: Smarter Builds and Faster Tests
Duration: 75 minutes
Guest: DevOps Automation Specialist
Interactive: Real-world CI/CD Pipeline Debug
🎤 Lecture 3 (Week 3)
Title: Future of AI in DevOps Teams
Duration: 90 minutes
Guest Panel: SRE, Cloud AI Lead, Compliance Officer
Interactive: Governance Scenario Workshop + Capstone Review
Module 7
Intended For
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DevOps Engineers
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Site Reliability Engineers (SREs)
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Infrastructure Engineers
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Software Developers transitioning into DevOps
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AI/ML Engineers exploring DevOps
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Final-year students and postgraduates in Computer Science/IT
Module 8
Program Outcomes
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Automate CI/CD pipelines using AI agents
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Deploy predictive monitoring systems using ML models
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Implement smart alerting and reduce false positives
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Build self-healing infrastructure components
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Increase deployment frequency and reduce mean time to resolution (MTTR)
Module 10
Fee Structure
Fee: INR 21499 USD 249
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesModule 11
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 12
Key Takeaways
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Module 13
Future Career Prospects
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AI DevOps Engineer
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Site Reliability Engineer (SRE) with AI specialization
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Automation Architect
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Infrastructure Intelligence Engineer
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Platform Engineer (ML Ops/DevOps)
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DevOps Consultant with AI integration skills
Module 14
Job Opportunities
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Cloud-based product companies (AWS, Azure, GCP ecosystems)
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AI-first startups automating DevOps
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Large enterprises digitizing IT operations (AIOps)
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SaaS companies and DevSecOps roles
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Automation and Monitoring tool vendors (e.g., Datadog, Splunk, Dynatrace)
Module 15
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 16
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