This course introduces the foundations of generative AI, exploring its applications in data science. Learners gain practical skills in prompt engineering, model usage, and ethical considerations. Through hands-on projects, it prepares professionals to leverage AI tools effectively, enhancing analytical workflows and advancing careers in the evolving field of artificial intelligence.

This beginner friendly Coursera course, Generative AI: Prompt Engineering Basics, teaches professionals and enthusiasts how to craft effective prompts for AI models. Learners explore zero‑shot and few‑shot techniques, advanced methods like Chain‑of‑Thought, and multimodal prompting. Hands‑on projects and assessments build practical skills, preparing participants to confidently apply generative AI in real‑world contexts.

Discover the foundations of generative AI through core models, platforms, and hands‑on labs. Learn GANs, VAEs, transformers, diffusion models, and large language models. Explore IBM watsonx, Hugging Face, and other platforms to build AI applications. Gain practical skills in NLP, deep learning, and prompt engineering with expert guidance.

Examine the ethical, societal, and organizational implications of generative AI. Explore issues of bias, transparency, privacy, and accountability while assessing its impact on creativity, work, and decision‑making. Gain frameworks to evaluate risks, balance innovation with responsibility, and apply ethical principles to real‑world AI adoption and governance.

Discover how generative AI transforms businesses and careers. Learn to identify industry opportunities, enhance productivity, and prepare organizations for AI adoption. Explore career paths, evolving job roles, and leadership strategies. Gain practical insights from experts, hands‑on projects, and frameworks to harness AI responsibly for innovation and professional growth.