You should have working knowledge of Python programming (including functions, OOP, and data structures), a basic understanding of linear algebra, calculus, and statistics, and some familiarity with data manipulation libraries like NumPy and Pandas. No prior machine learning experience is required.

The curriculum covers deep learning fundamentals (CNNs, RNNs, Transformers), natural language processing, computer vision, large language models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), AI agents, MLOps, model deployment with containers and cloud platforms, and responsible AI practices including bias detection and safety guardrails.

You should plan for approximately 15-20 hours per week over the 12-week duration. This includes expert-led live classes, hands-on project work, self-paced learning modules, and mentorship sessions. The program is designed to be intensive but manageable for working professionals.

You will build three industry-relevant projects: an Intelligent Document Processing System using CV and NLP, a RAG-Powered Conversational AI Chatbot with vector databases and LangChain, and a Generative AI Content Creation Platform using LLMs and Stable Diffusion. Each project involves building, deploying, and evaluating real-world AI applications.

Graduates are prepared for high-demand roles such as Machine Learning Engineer, Generative AI Developer, AI/ML Architect, Computer Vision Engineer, and NLP Specialist. The combination of deep learning foundations, GenAI expertise, and production deployment skills positions you for roles at the forefront of the AI industry.

You will work extensively with Python, TensorFlow, Keras, PyTorch, Hugging Face Transformers, LangChain, Pinecone (vector database), Stable Diffusion, MLflow for experiment tracking, and Docker for containerized deployments. These are the same tools used by leading AI teams in industry.

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 & Machine Learning Engineer.

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.