Generative AI, LLMs, and Advanced Applications with Python
Completed by Saranya Devi Subramaniam
February 15, 2026
9 hours (approximately)
Saranya Devi Subramaniam's account is verified. Coursera certifies their successful completion of Generative AI, LLMs, and Advanced Applications with Python
What you will learn
Understand and implement generative models like VAEs and GANs for synthetic data generation.
Dive deep into Transformer architecture, GPT, and ChatGPT for language-based AI applications.
Master fine-tuning and transfer learning techniques for personalized AI solutions.
Apply Retrieval Augmented Generation (RAG) and LLM Agents to create advanced AI applications.
Skills you will gain
- Category: Autoencoders
- Category: Application Programming Interface (API)
- Category: Hugging Face
- Category: Model Evaluation
- Category: Generative Adversarial Networks (GANs)
- Category: Generative AI
- Category: OpenAI API
- Category: LLM Application
- Category: Large Language Modeling
- Category: OpenAI
- Category: Applied Machine Learning
- Category: Generative Model Architectures
