Getting Started with Generative AI
Completed by Markus Luediger
March 6, 2026
18 hours (approximately)
Markus Luediger's account is verified. Coursera certifies their successful completion of Getting Started with Generative AI
What you will learn
Define generative AI principles and apply data preparation, vectorization, and model-building techniques.
Analyze and compare models like GANs, VAEs, transformers, and LLMs for practical applications.
Design effective prompts using few-shot, zero-shot, and chain-of-thought techniques for AI models.
Optimize and deploy generative AI models using fine-tuning, PEFT, and LLMOps strategies.
Skills you will gain
- Category: Data Cleansing
- Category: Data Processing
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Embeddings
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Open Source Technology
- Category: Generative Adversarial Networks (GANs)
- Category: Generative AI
- Category: Database Systems
- Category: LLM Application
- Category: Generative Model Architectures
