Join Our DevOps Career Acceleration Program

Multi-Cloud DevOps with AI Master Next-Generation Cloud Careers

Program Format

Online Bootcamp

Live Classes

10 Weeks

Program Duration

Flexible Schedule

Certification

Global Certificate

Additional Access

Expert Mentorship

Industry

Recognized Capstone

$125,000

Average Annual Salary

3K+

Trusted Learners

Program Focus Areas

Potential Job Roles

Learning & Mentorship Support

1-on-1 mentorship

Expert-led guidance

Capstone project support

Power Your Career With ServiceNow IT Business Analyst

65% Average Salary Hike

15K USD Highest Salary

15000+ Career Transitions

400+ Hiring Partners

About Multi-Cloud DevOps with AI Course Overview

This program is designed to prepare learners to build, automate, secure, and monitor modern applications across AWS and Azure. It covers Linux, Git, cloud infrastructure, Docker, Terraform, Ansible, CI/CD, Kubernetes, GitOps, observability, DevSecOps, and AI for DevOps. With hands-on labs, 17 mini-projects, and 2 major capstones, learners gain practical experience building production-shaped multi-cloud platforms and preparing for the Microsoft AZ-400 DevOps Engineer Expert certification. The training emphasizes practical learning through real-world use cases, hands-on exercises, and scenario-based activities. Learners gain a strong understanding of the ServiceNow platform and the role of an IT Business Analyst in bridging business needs with technical solutions.

What does this Multi-Cloud DevOps with AI program include?

Covers AWS and Azure, Linux, Git, Docker, Terraform, Ansible, Jenkins, GitHub Actions, Kubernetes, GitOps, monitoring, DevSecOps, and AI for DevOps.

Learn to build secure cloud infrastructure, automate deployments, manage Kubernetes environments, implement GitOps, monitor systems, and apply AI to real DevOps workflows.

Develop practical skills across both AWS and Azure while learning widely used DevOps, cloud, automation, Kubernetes, and AI technologies.

Designs and manages cloud infrastructure, automates CI/CD, deploys applications, operates Kubernetes platforms, monitors systems, and integrates security and AI into engineering workflows.

Upgrade Your Skills.
Upgrade Your Cloud Career.

Learn AWS, Azure, DevOps, Kubernetes & AI Through Hands-On Training.

Why Choose Multi-Cloud DevOps with AI?

AWS & Azure Multi-Cloud Skills

Hands-On Practical Projects

Expert-Led Instructor Training

Artboard 28

17 Mini-Projects + 2 Capstones

Career-Aligned Technical Training

Real-World DevOps Use Cases

Courses Top Rated in:

Discover what our learners say about us

4.7

4.8

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Explore our Syllabus

A Structured Learning Path Designed To Build Real-World Multi-Cloud DevOps & AI Skills.

DevOps, Linux & Git

DevOps, Linux & Git Overview

Module 1: DevOps Foundations, Linux & Git

DevOps Foundations & Linux Essentials

Module 2: Multi-Cloud, Azure, Docker & Terraform

AWS 3-Tier Architecture — Full Build Lab

Module 3: Infrastructure Automation & CI/CD

Terraform Modules & Multi-Cloud Deployment

Talk To Us

We’re here to support you 24/7

Who Is This Program For?

Graduates and learners looking to build practical skills in Cloud, DevOps and automation.

Professionals from technical or non-technical backgrounds seeking to enter Cloud and DevOps roles.

Freshers and working professionals looking to build or advance their DevOps and cloud careers.

Individuals aiming to develop multi-cloud, automation, Kubernetes and AI skills for modern engineering roles.

ServiceNow IT Business Analyst Project Lab

Key Benefits

Get Hired Faster with leadtecno

Get Hired At

Our students' have landed jobs with

Frequently Asked Questions (FAQs)

What is the Multi-Cloud DevOps with AI program?

The Multi-Cloud DevOps with AI Program is designed to build practical skills in AWS, Azure, DevOps automation, Kubernetes, GitOps, security, monitoring, and AI. It prepares learners to build, automate, secure, and monitor production-shaped applications across multiple cloud environments.

The program is suitable for beginners and professionals looking to build Cloud and DevOps skills. No prior DevOps or cloud experience is required; basic programming and command-line comfort are assumed.

No. The curriculum is designed without requiring prior DevOps or cloud experience. Basic programming knowledge and familiarity with the command line are assumed.

You will work with AWS, Azure, Linux, Git, Docker, Terraform, Ansible, Jenkins, GitHub Actions, Kubernetes, Argo CD, Prometheus, Grafana, Azure DevOps, and AI tools including Azure OpenAI and AWS Bedrock.

Yes. The program includes 17 mini-projects and 2 major capstones, including AWS and Azure 3-tier architecture builds and an Enterprise GitOps & AI-Powered Delivery Platform.

The PDF specifically includes mock interviews, technical assessments, portfolio review, résumé and LinkedIn positioning, and a 90-day post-program roadmap. It does not explicitly state a job-placement guarantee.

What Our Student's says

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