This course is designed for individuals with a basic understanding of Python programming and fundamental math and statistics. No prior experience in machine learning or electric vehicles is required.

You'll master a wide range of AI and machine learning techniques, including deep learning, computer vision, natural language processing, and generative models, and apply them to solve real-world problems in the electric vehicle domain.

The course is a 12-week, instructor-led program with a mix of live online classes, hands-on coding sessions, and industry-relevant projects. You'll work closely with experienced mentors and have access to a supportive community of learners.

You'll tackle projects like building autonomous valet parking systems, developing predictive maintenance tools using large language models, and creating multimodal virtual assistants for electric vehicles. These projects will give you practical, industry-relevant experience.

You'll need a computer with a modern web browser and the ability to run Python, TensorFlow, and PyTorch. We'll provide access to cloud-based development environments and any necessary software tools throughout the course.

The course primarily uses Python, along with popular data science and machine learning libraries like NumPy, Pandas, Scikit-learn, and TensorFlow/PyTorch. Prior experience with these tools is helpful but not mandatory.

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-Integrated Electric Vehicle Development Engineer.

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

Yes, hands-on lab access is available at an additional cost, typically around ₹2,750 (or $30 for international learners) per year. This is the standard rate for most tracks, though specialized labs such as Data and Security may be priced differently. Beyond just practicing what you learn, the labs let you host and showcase your projects live, so you can share your work on social media or present it directly to recruiters as part of your portfolio.

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.