Getting Started with Generative AI
Completed by MAKSYM YEROMENKO
May 31, 2026
18 hours (approximately)
MAKSYM YEROMENKO'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: Generative Adversarial Networks (GANs)
- Category: Generative AI
- Category: Embeddings
- Category: Model Optimization
- Category: Prompt Engineering
- Category: Database Systems
- Category: Data Visualization
- Category: Generative Model Architectures
- Category: LLM Application
- Category: Responsible AI
- Category: Fine-tuning
- Category: Large Language Modeling
