No deep AI/ML experience is required, but basic programming knowledge (preferably Python) and familiarity with software development fundamentals will help you get the most out of the program. The curriculum builds your AI and ML skills progressively from foundational concepts to advanced deployment.

The curriculum covers full-stack AI application development (Python, FastAPI, React), generative AI and LLMs (prompt engineering, LangChain, LlamaIndex), RAG pipelines with vector databases (Pinecone, Weaviate), cloud deployment on AWS (EC2, Lambda, S3, SageMaker), ML model lifecycle management with MLflow, workflow automation with n8n, rapid prototyping with vibe coding tools, and entrepreneurship fundamentals including business modeling, fundraising, and go-to-market strategy.

The program spans 24 weeks and is designed for a commitment of approximately 12-15 hours per week. This includes video lectures, hands-on coding labs, project work, and mentorship sessions. The pace is structured to accommodate working professionals while ensuring sufficient depth in both technical and entrepreneurial skills.

You will build three industry-relevant projects: an AI-powered personal finance assistant with RAG capabilities, a generative AI content creation SaaS platform, and a complete AI startup MVP with an investor pitch deck. Each project involves end-to-end development from ideation and design through deployment on cloud infrastructure.

Graduates will be prepared for roles such as AI Entrepreneur, Product Manager (AI/ML), Full-Stack Developer, and AI Solutions Architect. You'll build a portfolio of deployed AI applications and a validated startup concept, demonstrating both technical proficiency and business acumen to employers and investors alike.

You'll work with Python, FastAPI, React, Docker, and Git/GitHub for development; LangChain, LlamaIndex, and Hugging Face Transformers for AI/LLM integration; Pinecone and Weaviate for vector databases; AWS services (EC2, S3, Lambda, SageMaker) for cloud deployment; Supabase for backend services; MLflow for model management; and rapid prototyping tools like Cursor, Lovable, and n8n for workflow automation.

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 AI Entrepreneurship.

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.