DevOps with AWS and AI

Master the fusion of DevOps, AWS Cloud, and Artificial Intelligence. Learn to build, deploy, and manage AI/ML applications using AWS DevOps services, SageMaker, and MLOps best practices. The future of DevOps is AI-powered!

⏱️ Duration: 5 Months
📊 Level: Advanced
🎯 Mode: Online, Live Classes, AWS ML Labs

🎓 Course Highlights

Transform Your Career with Industry-Leading Training

Complete DevOps on AWS with AI/ML integration
AWS SageMaker for ML model deployment
MLOps - Machine Learning Operations
AI-powered DevOps automation
CI/CD pipelines for ML models
AWS AI services - Rekognition, Comprehend, Translate, etc.
Infrastructure as Code for ML workflows
Model monitoring and drift detection
Serverless AI with Lambda and SageMaker
LLM deployment and fine-tuning on AWS
Real-world AI/ML DevOps projects
Job placement in AI/ML engineering roles

Course Overview

Master the fusion of DevOps, AWS Cloud, and Artificial Intelligence. Learn to build, deploy, and manage AI/ML applications using AWS DevOps services, SageMaker, and MLOps best practices. The future of DevOps is AI-powered!

Prerequisites

  • ▶️Strong understanding of DevOps concepts and practices
  • ▶️AWS Cloud fundamentals or AWS Solutions Architect Associate
  • ▶️Python programming proficiency
  • ▶️Basic understanding of Machine Learning concepts
  • ▶️Linux command line experience
  • ▶️Networking and security fundamentals

Certification

🏆 AWS Certified Machine Learning Specialty + DevOps Professional