You should have proficiency in Python programming, a basic understanding of machine learning concepts, and familiarity with APIs and web services. Prior experience with deep learning frameworks is helpful but not required, as the course covers transformer architectures and LLMs from foundational concepts.

The curriculum covers transformer model architectures, prompt engineering, LLM fine-tuning (including LoRA), Retrieval Augmented Generation with vector databases, AI agent design using LangChain and ReAct patterns, image generation with Stable Diffusion, production deployment, responsible AI practices, and capstone projects that integrate all these skills.

Plan to spend approximately 12-15 hours per week over the 10-week duration. This includes watching instructional content, completing hands-on coding exercises, working on projects, and participating in capstone challenges. Some weeks with project deadlines may require additional time.

You will build three major projects: an intelligent document processing system with RAG, an autonomous AI agent for task automation, and a multimodal content generation platform. Additionally, you'll complete weekly coding exercises covering prompt engineering, model fine-tuning, vector database integration, and agent development.

This course prepares you for high-demand roles such as Generative AI Engineer, AI Agent Developer, AI/ML Consultant, and Conversational AI Specialist. You'll graduate with a portfolio of production-grade projects and hands-on skills in the most sought-after AI technologies, positioning you for roles at the forefront of the AI industry.

You will work extensively with Python, Hugging Face Transformers, LangChain, Pinecone vector database, Stable Diffusion, and OpenAI APIs. You'll also gain experience with LangFlow for visual agent building, the ReAct framework for autonomous reasoning, and production deployment tools for scaling AI applications.

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 & AI Agent Developer Certification.

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.