🚀 DevOps & MLOps with Multi-Cloud Mastery (AWS + Azure)

Unlock the combined power of DevOps and MLOps with multi-cloud expertise! This comprehensive course is designed to prepare you for a thriving career at the intersection of Cloud, DevOps, and AI/ML. By blending the best practices of Azure DevOps, AWS DevOps, and modern MLOps frameworks, you’ll gain the skills to automate deployments, streamline ML workflows, and manage applications and models at scale.

Whether you are a beginner or an experienced professional, this course empowers you with the hands-on knowledge and industry tools needed to thrive in today’s cloud-first ecosystem.

🔑 What Will You Learn?

• Introduction to DevOps & MLOps: Principles, practices, and culture of automation & ML lifecycle management.

• Azure DevOps Mastery: Pipelines, repositories, boards, monitoring, and deployments.

• AWS DevOps Excellence: Elastic Beanstalk, CodePipeline, CodeBuild, and cloud-native CI/CD.

• Multi-Cloud Strategies: Building resilient pipelines and deploying apps & ML models across AWS and Azure.

• Containerization & Orchestration: Docker & Kubernetes for scalable, cloud-native workloads.

• Infrastructure as Code (IaC): Automating infrastructure with Terraform & CloudFormation.

• MLOps Lifecycle: Model versioning, training, deployment & monitoring with MLflow, Kubeflow, and Airflow.

• Monitoring & Observability: Implementing Prometheus, Grafana, and cloud monitoring solutions.

• Real-World Projects: End-to-end DevOps and MLOps pipelines to apply your knowledge.

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👩‍💻 Who Can Learn?

This course is ideal for:

• IT Professionals: Developers, SysAdmins, and Cloud Engineers looking to step into DevOps & MLOps.

• Beginners: Aspiring professionals aiming to start a career in DevOps/MLOps.

• Data Scientists & ML Engineers: Those who want to automate and scale ML model deployments.

• Project Managers: Overseeing cloud-native and AI-driven projects.

• Anyone looking to future-proof their career with multi-cloud DevOps + MLOps expertise.

🌟 Facilities We Provide

✅ Live Interactive Sessions – Learn directly from expert instructors.
✅ Hands-On Multi-Cloud Labs – Practice in real AWS & Azure environments.
✅ Doubt Clarification – Personalized support & Q&A sessions.
✅ Industry-Grade Projects – Build pipelines and deploy ML models in real scenarios.
✅ Placement Assistance – Resume prep, mock interviews, and job guidance.
✅ Access to Course Materials – Recorded sessions, notes & references (1-year access, extendable on request).
✅ Certification of Completion – Validate your skills with a recognized certification.

👉 By the end of this course, you’ll be confident in designing, automating, and managing DevOps & MLOps pipelines across AWS and Azure—making you a highly sought-after Multi-Cloud DevOps & MLOps Engineer.