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Generative AI and Large Language Models

Welcome to the world of Generative AI and Large Language Models (LLMs)—where technology mirrors human creativity and intelligence. This course is designed to provide you with a comprehensive understanding of generative models, including their evolution, applications, and the underlying architectures that make them possible. Throughout the modules, you'll explore various generative techniques such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), diffusion models, and multimodal AI. You'll also gain hands-on experience with tools like OpenAI's GPT, Hugging Face, Streamlit, and MLflow, ensuring you can deploy and fine-tune models for real-world applications.
Duration 3 Months
Institution Coursera
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Coursera.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $49
Total Est. Investment $49

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Generative AI and Large Language Models program at Coursera are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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