No prior programming experience is required. The course starts from scratch, covering Python basics, environment setup, and fundamental concepts before progressing to advanced topics like object-oriented programming, data analysis, and machine learning.

The curriculum covers Python fundamentals (syntax, data types, control flow), data structures, object-oriented programming, file operations and error handling, modules and packages, advanced Python concepts (generators, decorators, async programming), data analysis with NumPy/Pandas/Matplotlib, machine learning modeling, and API development with FastAPI.

You should plan to dedicate approximately 8-10 hours per week, including video lectures, coding exercises, and hands-on project work. The 6-week structure is designed to progressively build your skills from Python basics to deploying ML models via APIs.

You will complete three industry-relevant projects: a retail sales forecasting system, a banking fraud detection model, and a manufacturing predictive maintenance pipeline. Each project involves real-world data, end-to-end Python development, and practical application of data analysis and machine learning techniques.

This course prepares you for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, and Business Intelligence Analyst. You'll gain practical skills in Python programming, data analysis, ML modeling, and API deployment — competencies that are in high demand across industries.

You will work with Python 3, NumPy, Pandas, Matplotlib, FastAPI, and standard development tools including pip, virtual environments, and IDEs like VS Code or PyCharm. You'll also learn to work with file formats such as CSV, JSON, and XML, and use Python's standard library modules for logging, regular expressions, and async programming.

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 Python For AI/ML.

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.