Advanced to Expert50 Days

AI Cloud DevOps

Machine Learning Operations & AI Automation

Master the intersection of AI, Machine Learning, Cloud Computing, and DevOps. Learn MLOps practices, AI automation, and how to deploy, monitor, and scale AI/ML applications in production cloud environments.

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Course Rating

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AI Cloud DevOps Course - MLOps & AI Automation

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Course Overview

Our comprehensive AI Cloud DevOps course bridges the gap between traditional DevOps and modern AI/ML operations. You'll learn MLOps practices, AI automation techniques, and how to deploy, monitor, and scale AI applications across multiple cloud platforms. The course includes 24 detailed modules covering AWS, Azure, GCP, and cutting-edge AI technologies.

Modules

150

Total Sessions

80%

Hands-on Projects

Technology Ecosystem Covered

Cloud Platforms

AWS, Azure, GCP AI/ML Services

MLOps Tools

Kubeflow, MLflow, DVC, Weights & Biases

AI/ML Frameworks

TensorFlow, PyTorch, Scikit-learn, Hugging Face

DevOps Integration

Docker, Kubernetes, Jenkins, GitOps

Course Key Highlights

AI/ML Experts

Learn from certified AI engineers and MLOps specialists

Future-Ready Skills

100% placement support for AI DevOps and MLOps roles

Enterprise Projects

Build production-grade AI/ML systems and pipelines

Multi-Cloud Mastery

Deploy AI across AWS, Azure, and Google Cloud

Premium Value

Cutting-edge AI skills with exceptional ROI

Flexible Learning

Self-paced modules with mentor guidance

No Cost EMI

Affordable payment plans for premium education

MLOps Specialization

Advanced machine learning operations expertise

Complete AI Cloud DevOps Syllabus

Comprehensive 24-module curriculum combining AI/ML with cloud computing and DevOps practices. Master MLOps, AI automation, and intelligent cloud operations with cutting-edge technologies.

Introduction to AI/ML in DevOps

Duration: 1 Week

Topics Covered:

Understanding AI/ML fundamentals for DevOps professionals

MLOps vs traditional DevOps: key differences and similarities

AI-driven automation in software delivery pipelines

Industry trends and future of AI in cloud operations

Machine learning lifecycle and model development process

AI ethics and responsible machine learning practices

Business value and ROI of AI/ML implementations

Common AI/ML use cases in enterprise environments

Skills transition roadmap from DevOps to MLOps

AI/ML toolchain overview and technology landscape

Course ProgressModule 1 of 24

Modules

Days Duration

175

Total Sessions

12+

Live Projects

Frequently Asked Questions

Course Features

Level	Advanced/Expert
Class Type	Virtual & Hybrid
Duration	50 Days
Lectures	70
Labs/Projects	80
Total Sessions	150
Certificate	Yes
Daily Test	1 daily Test
Weekly Test	1 weekly Test
Mock Test	7 mock Test

Additional Benefits:

MLOps Pipeline Development

Multi-Cloud AI Deployment

Real-time AI Applications

AI-Powered DevOps Automation

100% Placement Assistance

Enterprise AI Integration

Model Monitoring & Governance

Serverless AI Architecture

Shape the Future with AI DevOps!

Master the convergence of AI, Cloud, and DevOps with our comprehensive 24-module program and become an industry leader

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