You should have at least 2 years of experience in software engineering, data science, or a related technical role. Proficiency in Python, foundational knowledge of machine learning and deep learning concepts, and basic familiarity with cloud computing platforms are expected.

The curriculum covers the full AI lifecycle including data engineering, ML pipeline design, model training and serving, Generative AI and AI agents, MLOps infrastructure (model versioning, monitoring, CI/CD), responsible AI (interpretability, bias mitigation, governance), cloud-native AI deployments, and AI solution architecture for enterprise use cases.

The program runs for 8 weeks and includes interactive live classes, hands-on projects, and mentorship sessions. You should plan to dedicate approximately 10-15 hours per week to attend live sessions, complete assignments, and work on capstone projects.

You will work on three industry-relevant projects including building a retail demand forecasting platform, architecting an enterprise MLOps platform for computer vision, and designing a responsible AI healthcare recommendation system. Each project involves designing, building, and deploying real AI solutions end-to-end.

This program prepares you for senior technical roles such as AI Solutions Architect, Machine Learning Engineer, AI/ML Consultant, and Cloud Architect. You will gain the ability to lead end-to-end AI solution design, manage cross-functional teams, and make architectural decisions that drive business impact—skills highly sought after in the industry.

You will work with Python, TensorFlow/PyTorch for model development, AWS SageMaker for cloud-based ML workflows, Kubernetes and Docker for containerized deployments, MLflow for experiment tracking and model registry, and frameworks for building Generative AI and AI agent solutions. All tools are industry-standard and directly applicable to production environments.

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 Solutions Architect.

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.