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

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