#1 Choice For High-Impact Careers · Beginner to Advanced

DevOps and Cloud with AI

Name: DevOps and Cloud with AI
Price: 2499.00 USD
Availability: InStock

Ship software continuously with CI/CD, Docker, Kubernetes, Terraform and multi-cloud delivery — and use AI to cut the toil out of operations.

6 Months

Duration

100% Live

Mentor-led

Virtual Labs

24/7 Practice

Microsoft

Aligned Cert

Enroll Now

4.9

100% Verified Program

Live Cohort Active

Global Certificate

Microsoft Aligned

Career Focused

Skills aligned with in-demand roles & industry needs.

Hands-on Learning

Real-world labs, projects & simulations.

Expert Instructors

Learn from industry experts with years of experience.

24/7 Support

Get help anytime from mentors and community.

menu_book Course Overview

About This Program

Engineering teams now ship several times a day, and the people who make that safe are DevOps and cloud engineers. This 6-month programme takes you from the Linux command line to running containerised services on Kubernetes across AWS and Azure. You will build real pipelines, define infrastructure in Terraform, monitor what you ship, and apply AI to the parts of operations that used to eat entire afternoons — reading logs, triaging alerts and writing runbooks.

military_tech Why Choose Us

Why Get Certification From American Tech Global

We focus on practical hands-on capability, virtual lab execution, and real mentorship to ensure you stand out in competitive global markets.

Live Instructor-Led Cohort

Weekend sessions with an engineer who runs production systems, with recordings if you miss one.

Hands-On Cloud Labs

Every module is practised in real AWS and Azure accounts, not on slides.

Mentor & Doubt Support

Bring broken pipelines and failing clusters to dedicated troubleshooting sessions.

Four Portfolio Projects

Ship a pipeline, a Kubernetes deployment, multi-cloud Terraform, and an AI-assisted incident workflow.

Security Built In

Secrets management, image scanning, and least-privilege access practised from the first module.

Career & Interview Guidance

Portfolio review, resume positioning, and mock interviews for DevOps and cloud roles.

rocket_launch Getting Started

Everything You Need to Get Started

No advanced experience required — just bring your curiosity and ambition.

Who This Is For

Built for Ambitious Professionals

Software developers who want to own how their code reaches production

IT support, system administrators and network engineers moving into cloud roles

QA and manual testers automating build and release work

Career changers targeting a first cloud or platform engineering role

Prerequisites

What You Need to Begin

Graduates or working professionals comfortable using a computer daily

No prior DevOps experience required — the programme starts with Linux and Git basics

A laptop with internet access for cloud labs and free-tier accounts

bolt Learning Outcomes

What You Will Master

A rigorously engineered syllabus designed in partnership with active tech leaders.

Work confidently on the Linux command line and with Git branching workflows

Build CI/CD pipelines in GitHub Actions and Jenkins that test, build and deploy automatically

Package applications with Docker and run them reliably in production

Deploy, scale and troubleshoot workloads on Kubernetes

Define repeatable infrastructure with Terraform and configure it with Ansible

Deliver services on AWS and Azure, including networking, storage and identity

Instrument systems with Prometheus and Grafana and act on what they show

Apply AI assistants to log analysis, incident triage and runbook authoring

Build in security from the start with secrets management and image scanning

Control cloud spend with tagging, right-sizing and budget alerts

Ship an end-to-end capstone: a containerised service delivered by pipeline to the cloud

construction Tools & Tech Stack

Industry-Standard Tools You'll Master

Linux

Git

GitHub Actions Jenkins logo

Jenkins

Docker

Linux

Git

GitHub Actions Jenkins logo

Jenkins

Docker

Linux

Git

GitHub Actions Jenkins logo

Jenkins

Docker

Linux

Git

GitHub Actions Jenkins logo

Jenkins

Docker

Kubernetes Helm logo

Helm

Terraform

Ansible

AWS

Kubernetes Helm logo

Helm

Terraform

Ansible

AWS

Kubernetes Helm logo

Helm

Terraform

Ansible

AWS

Kubernetes Helm logo

Helm

Terraform

Ansible

AWS

Azure

Prometheus Grafana logo

Grafana

Bash

Python

Azure

Prometheus Grafana logo

Grafana

Bash

Python

Azure

Prometheus Grafana logo

Grafana

Bash

Python

Azure

Prometheus Grafana logo

Grafana

Bash

Python

menu_book Course Modules

Comprehensive Curriculum

12 in-depth modules covering end-to-end concepts, hands-on lab exercises, and capstone milestones.

Build the operating system and networking foundation every DevOps engineer relies on.

Linux architecture, file system and permissions

Processes, services and package management

Networking fundamentals: DNS, HTTP, TCP/IP and load balancing

Bash scripting for automation

Lab: automating server setup with shell scripts

Version-control everything and collaborate like a modern engineering team.

Git fundamentals: commits, branches and merges

Branching strategies and trunk-based development

Pull requests and code review

GitHub Actions basics

Lab: team workflow on a shared repository

Use Python to automate infrastructure, APIs and operational tasks.

Python essentials for DevOps engineers

Working with REST APIs and JSON/YAML

Automating cloud tasks with SDKs (boto3)

Writing CLI tools and scripts

Lab: building an operations automation tool

Design CI/CD pipelines that build, test and ship software safely and quickly.

CI/CD principles and pipeline design

Jenkins pipelines

GitHub Actions and GitLab CI

Automated testing and quality gates

Lab: end-to-end CI/CD pipeline

Package applications into portable containers and run them consistently anywhere.

Containers vs virtual machines

Writing efficient Dockerfiles

Docker networking and volumes

Docker Compose for multi-service apps

Lab: containerising a full-stack application

Deploy, scale and operate containerised workloads on Kubernetes.

Kubernetes architecture and core objects

Deployments, services and ingress

ConfigMaps, secrets and storage

Helm charts and GitOps with Argo CD

Lab: deploying and autoscaling a microservice

Provision and configure infrastructure repeatably with code.

Infrastructure-as-code principles

Terraform providers, resources and modules

Terraform state and workspaces

Configuration management with Ansible

Lab: provisioning a cloud environment with Terraform

Design and build secure, scalable architectures on Amazon Web Services.

AWS global infrastructure and IAM

Compute: EC2, Auto Scaling and Lambda

Networking: VPC, subnets and load balancers

Storage and databases: S3, RDS and DynamoDB

Lab: highly available web architecture on AWS

Extend your cloud skills to Microsoft Azure and multi-cloud strategies.

Azure fundamentals and resource management

Azure compute, networking and storage

Azure DevOps pipelines

AKS and managed Kubernetes services

Multi-cloud strategy and cost optimisation (FinOps)

Keep systems healthy with monitoring, logging, alerting and SRE practices.

Monitoring with Prometheus and Grafana

Centralised logging with the ELK stack

Distributed tracing with OpenTelemetry

SLIs, SLOs, error budgets and on-call

Lab: building an observability dashboard

Use AI to run operations smarter and learn to deploy and operate AI workloads.

AIOps: anomaly detection and incident prediction

AI assistants for infrastructure and pipelines

MLOps pipelines and model deployment

LLMOps: serving and monitoring LLM applications

Lab: AI-assisted incident triage

Build security into every stage of delivery and deliver a production-grade capstone.

Shift-left security and DevSecOps principles

Container and image scanning

Secrets management and policy as code

Certification roadmap: AWS, Azure and CKA

Capstone: secure, observable cloud platform with CI/CD

deployed_code Real-World Portfolio

Projects That Build Your Portfolio

Build practical, portfolio-ready work for real enterprise challenges.

Automated Delivery Pipeline

Take an application from a Git push to a deployed environment with automated tests, build, and rollback.

GitHub Actions Docker logo

Docker

Bash

Source code included Portfolio Ready

Microservices on Kubernetes

Run a multi-service application with health checks, autoscaling, and zero-downtime rolling updates.

Kubernetes Helm logo

Helm

Docker

Source code included Portfolio Ready

Infrastructure as Code on Two Clouds

Provision the same environment on AWS and Azure from a single Terraform codebase.

Terraform

AWS

Azure

Source code included Portfolio Ready

AI-Assisted Incident Response

Wire monitoring to an AI assistant that summarises alerts, surfaces likely causes, and drafts the runbook.

Prometheus Grafana logo

Grafana

Python

Source code included Portfolio Ready

work Career Prospects

What Can You Become

High-demand job roles and average salaries unlocked after completing this program.

DevOps Engineer

Own the pipelines, environments, and automation that move code from a merge to production safely.

Career pathway

Multiple routes

Cloud Engineer

Design and run compute, networking, storage, and identity on AWS and Azure.

Career pathway

Multiple routes

Site Reliability Engineer (SRE)

Set service level objectives, run on-call, and keep systems available under real load.

Career pathway

Multiple routes

Platform Engineer

Build the internal tooling and paved paths other engineering teams deploy on.

Career pathway

Multiple routes

Build & Release Engineer

Manage versioning, artifacts, release trains, and rollback strategy across environments.

Career pathway

Multiple routes

Cloud Infrastructure Specialist

Define infrastructure as code, control cloud spend, and enforce security baselines.

Career pathway

Multiple routes

handshake Sister Staffing Company • Strategic Alliance

Connecting Top Talent with Leading Companies Through Smart Recruitment

American Tech Global LLC and our corporate sister company, Redmont Global Inc., provide an integrated talent ecosystem connecting certified graduates directly with leading enterprise employers.

Redmont Global Inc.

Sister Company

location_on Branchburg, New Jersey • Nationwide Reach

stars Core Value Proposition

“Connecting top talent with leading companies through smart recruitment and staffing solutions.”

While American Tech Global LLC provides live academy training and certifications, Redmont Global Inc. handles specialized enterprise recruitment, corporate C2C staffing, and direct placements with Fortune 500 companies.

48h

Shortlists

100%

Vetted

Direct

Placement

Visit Redmont Global Hire Top Talent

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IT Staffing & Recruitment

Sourcing and screening specialized software engineers, data scientists, AI architects, and cybersecurity specialists.

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C2C Staffing Solutions

Corporation-to-Corporation contracts, vendor compliance, and dedicated technical contractors for corporate teams.

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Direct Hire & Contract Staffing

Flexible models including project contracts, contract-to-hire, and executive permanent placements.

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Temporary & Permanent Placements

Fast deployment for project spikes, seasonal surges, and long-term permanent full-time technical hires.

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Workforce & Talent Solutions

Strategic workforce planning, talent advisory, salary benchmarking, and customized hiring pipelines for enterprise employers.

Learn More

verified Direct internal referrals and priority screening for American Tech Global certified graduates.

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payments Choose your learning experience

One curriculum. Two ways to learn.

Select the support level that matches your schedule and career goals. Pricing is shown in USD.

Group Classes

Full immersive journey

$2,499

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checkHands-on projects and guided labs
checkCareer preparation and portfolio support
checkLifetime community access

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Personalized Services

Top industry mentor track

$5,499

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checkPersonalized interview preparation
checkSalary negotiation and career support

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quiz Common Questions

Frequently Asked Questions

No advanced background is required. The curriculum begins with fundamental concepts and systematically progresses to advanced industry practices with step-by-step guidance.

You get interactive live mentor-led classes where you can ask questions in real time, plus 24/7 lifetime access to high-definition recordings of every session, lab guides, and code repositories.

Yes! Upon successful completion of the course and capstone projects, you will receive an official verifiable certificate from American Tech Global LLC aligned with Microsoft Certified standards.

We offer dedicated career coaching, resume reviews, LinkedIn profile branding, portfolio reviews, mock technical interviews, and direct referral opportunities through our global hiring partner network.

All live sessions are recorded and uploaded to your student portal within hours. You also have 24/7 access to our community and mentors to get your doubts answered.

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DevOps and Cloud with AI

About This Program

Why Get Certification From American Tech Global

Live Instructor-Led Cohort

Hands-On Cloud Labs

Mentor & Doubt Support

Four Portfolio Projects

Security Built In

Career & Interview Guidance

Everything You Need to Get Started

Built for Ambitious Professionals

What You Need to Begin

What You Will Master

Industry-Standard Tools You'll Master

Comprehensive Curriculum

1 Module 1: Linux, Networking & Shell Scripting 5 lessons · Weeks 1–2 expand_more

2 Module 2: Git, GitHub & Collaboration Workflows 5 lessons · Weeks 3–4 expand_more

3 Module 3: Python & Automation for DevOps 5 lessons · Weeks 5–6 expand_more

4 Module 4: Continuous Integration & Delivery 5 lessons · Weeks 7–8 expand_more

5 Module 5: Docker & Containerisation 5 lessons · Weeks 9–10 expand_more

6 Module 6: Kubernetes in Production 5 lessons · Weeks 11–12 expand_more

7 Module 7: Infrastructure as Code with Terraform & Ansible 5 lessons · Weeks 13–14 expand_more

8 Module 8: AWS Cloud Engineering 5 lessons · Weeks 15–16 expand_more

9 Module 9: Azure & Multi-Cloud 5 lessons · Weeks 17–18 expand_more

10 Module 10: Observability & Site Reliability Engineering 5 lessons · Weeks 19–20 expand_more

11 Module 11: AI for DevOps: AIOps, MLOps & LLMOps 5 lessons · Weeks 21–22 expand_more

12 Module 12: DevSecOps & Capstone 5 lessons · Weeks 23–24 expand_more

Projects That Build Your Portfolio

Automated Delivery Pipeline

Microservices on Kubernetes

Infrastructure as Code on Two Clouds

AI-Assisted Incident Response

What Can You Become

DevOps Engineer

Cloud Engineer

Site Reliability Engineer (SRE)

Platform Engineer

Build & Release Engineer

Cloud Infrastructure Specialist

Connecting Top Talent with Leading Companies Through Smart Recruitment

Redmont Global Inc.

IT Staffing & Recruitment

C2C Staffing Solutions

Direct Hire & Contract Staffing

Temporary & Permanent Placements

Workforce & Talent Solutions

One curriculum. Two ways to learn.

Group Classes

Personalized Services

Frequently Asked Questions

Do I need prior experience before enrolling in this program? add

Are classes live or pre-recorded? add

Will I receive a globally recognized certificate? add

What kind of career and placement support is provided? add

What happens if I miss a live session? add

Explore Related Specialisations

Cyber Security & Ethical Hacking

Data Science And AI Program

Cyber Security And Artificial Intelligence