While the program covers Python and data fundamentals early on, having a basic understanding of programming concepts (variables, loops, functions) and high school-level math will help you get the most out of the curriculum. No prior AI or machine learning experience is required.

The program covers Python programming, data analysis with Pandas and NumPy, data visualization, SQL, machine learning with Scikit-learn, deep learning with TensorFlow, Keras, and PyTorch, natural language processing, computer vision, generative AI with large language models, prompt engineering, RAG systems, AI agent development with LangChain, and cloud deployment using AWS, Azure, Docker, and MLflow.

The program spans 24 weeks and includes live classes, hands-on sessions, and project work. You should plan to commit approximately 15-20 hours per week, including attending live sessions, completing assignments, working on projects, and self-study to stay on track with the curriculum.

You will work on three major industry-relevant projects: a predictive maintenance system using classical ML and deployment pipelines, a generative AI content creation platform integrating LLMs, RAG, and image generation, and an autonomous AI agent for research and decision support. These projects mirror real-world AI engineering workflows and build your portfolio.

Graduates are prepared for roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Generative AI Developer, AI Product Manager, and AI Consultant. The program's emphasis on end-to-end AI development—from data processing to model deployment and agent design—equips you with the skills employers actively seek.

You will work extensively with Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, PyTorch, Hugging Face Transformers, LangChain, Stable Diffusion, SQL, FastAPI, Flask, Docker, AWS, Azure, MLflow, Pinecone, Weaviate, and Supabase among others, giving you practical experience across the modern AI tech stack.

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 Engineer Job Program.

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.