You should have a basic understanding of at least one major cloud platform (AWS, Azure, or GCP), proficiency in Python programming, and familiarity with AI/ML concepts including large language models. Basic knowledge of containerization and DevOps practices is also helpful.

The curriculum covers AI agent architecture design, multi-cloud deployment strategies across AWS, Azure, and GCP, LLM integration using Amazon Bedrock, Azure OpenAI Service, and Vertex AI, Kubernetes-based orchestration, serverless deployment, multi-cloud networking and security, identity management, observability, cost optimization, and responsible AI practices.

This is a 4-week micro-degree designed for working professionals. You should expect to dedicate approximately 8-10 hours per week, which includes video lectures, reading materials, hands-on labs, and project work across multiple cloud platforms.

You will complete three industry-relevant projects including building a multi-cloud document processing agent, a cross-cloud conversational AI support agent, and a multi-cloud AI agent orchestration platform. Each project involves deploying real AI agents across AWS, Azure, and GCP with production-grade security, monitoring, and CI/CD pipelines.

This course prepares you for high-demand roles such as Cloud Architect, AI/ML Engineer, and DevOps Engineer specializing in AI workloads. Multi-cloud AI deployment skills are increasingly sought after as enterprises adopt multi-cloud strategies to avoid vendor lock-in and maximize the capabilities of different LLM providers.

You will work with Amazon Bedrock, Azure OpenAI Service, Vertex AI, AWS Lambda, Azure Functions, Google Cloud Functions, Kubernetes, Terraform, and monitoring tools. The course provides guided access and configuration instructions for all three major cloud platforms.

The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

In this course instructors will use English language for teaching.

Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in AI Agent deployment on Multi-cloud.

Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.