5 Courses Required

Additional Details

Target Audience

  • Engineers
  • Developers
  • Analysts
  • Data scientists
  • AI engineers
  • Entrepreneurs
  • Data journalists
  • Product managers
  • Researchers
  • Policymakers
  • Legal professionals

Accreditation

  • Large Language Model Fundamentals Certificate from Cornell’s Ann S. Bowers College of Computing and Information Science
  • 80 Professional Development Hours (8 CEUs)

Certificate Description

In today's rapidly evolving digital landscape, large language models (LLMs) are revolutionizing the way we work, write, research, and make decisions. While AI breakthroughs capture headlines, the true potential lies in effectively applying these powerful tools. This certificate program is tailored for professionals eager to harness LLM technologies and implement them immediately.

Throughout this hands-on program, you will acquire practical skills to evaluate, prompt, fine-tune, and deploy LLMs to address real-world challenges. You'll delve into major platforms and tools, including the Hugging Face API, and discover how to select the right model for your needs. Techniques such as preference learning and tokenization strategy will be explored to shape model behavior, alongside foundational concepts like probabilities and attention mechanisms.

Guided by Cornell Professor David Mimno, a leading expert in computational text analysis, this program demystifies LLMs and equips you to integrate them confidently into your workflows. Whether you're in business, education, policy, or research, this program is your roadmap to making AI work for you, starting now.

You will be most successful in this program if you have had some exposure to natural language processing or machine learning. You should also be comfortable with Python programming and basic statistics.

The courses in this certificate program are required to be completed in the order that they appear.

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