You should have working knowledge of Python programming (functions, classes, libraries) and a basic understanding of machine learning concepts such as model training and evaluation. Familiarity with deep learning fundamentals like neural networks and embeddings is also helpful but not strictly required.

The curriculum covers transformer architecture and large language models, prompt engineering, fine-tuning techniques, Retrieval-Augmented Generation (RAG) with vector databases, AI agent design with tool integration and memory, LangChain orchestration, production deployment, evaluation and monitoring, and responsible AI practices including bias mitigation and safety guardrails.

Given the intensive 3-week duration and the depth of hands-on projects, you should plan to dedicate approximately 15-20 hours per week. This includes watching lessons, completing coding exercises, working on projects, and engaging with mentors.

You will build three industry-relevant projects: a domain-specific conversational AI assistant with RAG capabilities, an intelligent content generation pipeline using prompt engineering and LangChain, and an autonomous research agent with tool integration, memory, and multi-step reasoning deployed to production.

Completing this program prepares you for roles such as Generative AI Engineer, Machine Learning Engineer, AI/ML Consultant, and AI Product Manager. You'll gain hands-on experience with production-grade GenAI tools and frameworks that are in high demand, along with a portfolio of projects demonstrating your ability to build and deploy real-world generative AI solutions.

You will work extensively with Python, Hugging Face Transformers for model fine-tuning, LangChain for orchestrating LLM workflows and building agents, OpenAI API for interacting with large language models, vector databases such as ChromaDB for RAG systems, and PyTorch for model customization and training.

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 Engineer - Practitioner.

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.