The Generative AI with LLMs Specialization explores the evolving landscape of artificial intelligence with a focus on Natural Language Processing (NLP) and generative models. The curriculum is designed to deepen understanding of machine learning and NLP concepts, while building foundational knowledge in generative AI.
The program also examines the architecture, applications, and ethical considerations of large language models (LLMs), helping learners evaluate model performance and apply these tools across various domains. Through modules covering machine learning and NLP fundamentals, generative AI foundations, architecture, application development, and tools like ChatGPT, MidJourney, and GitHub Copilot, learners gain practical exposure to real-world use cases.
Applied Learning Project
Learners apply generative AI in data visualization and exploratory data analysis (EDA) to uncover insights from complex datasets. Further projects include using ChatGPT for code generation, detecting email fraud with GANs, image processing with OpenCV, experimenting with MidJourney, and developing conversational AI using RASA. These hands-on activities help learners translate technical concepts into meaningful AI solutions.