No prior ML or AI experience is required — the track starts with Python-based data analysis fundamentals and progressively builds toward advanced generative AI and agentic systems. Basic Python programming and high school-level math are the only prerequisites.

The track spans five integrated courses covering data analysis with Python, classical and deep machine learning, generative AI engineering, AI agent development, and MLOps/LLMOps — taking you from raw data handling all the way to deploying production AI systems on cloud platforms.

Expect to invest roughly 10–15 hours per week, combining live instructor-led sessions, hands-on labs, and self-paced review. All core sessions are interactive and delivered live so you can ask questions and get real-time feedback.

You'll need a computer capable of running Python 3.x, and all required libraries (Pandas, PyTorch, Hugging Face, LangChain, Docker, etc.) are introduced with setup guides at the start of each course. Cloud compute resources for model training are covered in the MLOps module, so a high-end local GPU is not mandatory.

Python is the primary language used across all five courses, covering libraries from NumPy and Pandas through PyTorch, Hugging Face Transformers, LangChain, and FastAPI. SQL is also used in the data analysis and MLOps modules for database integration.

Graduates are prepared for roles such as Machine Learning Engineer, Generative AI Engineer, AI Agent Developer, MLOps/LLMOps Engineer, and Data Scientist, all of which are in high demand as organizations scale AI adoption. The hands-on projects and deployment experience make your portfolio directly relevant to job descriptions in these areas.

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 Generative AI & Agentic AI CareerTrack.

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.