Skip to content
Close Overlay

Sir Syed CASE Institute Of Technology

Research & Labs

Emails

General Inquiry: info@case.edu.pk
Admission: admission@case.edu.pk

 

Do You Have Any Question

Close Overlay

Quick Links

LMS

Subscribe to Newsletter

Follow us

Close Overlay

Main Menu

Home

Quick Links

Search

Contact

Menu

Building Large Language Model Applications

Instructor : Hamza Farooq
[Adjunct Professor @ Stanford & UCLA | Ex- Research Manager @Google  | CEO, Traversaal.ai]


Co-Instructors

  • Kanwal Mehreen [Lead NLP Researcher @ Traversaal.ai | Technical Editor & Writer @ KDNuggets]
  • Saima Hassan [Assistant Professor @ KUST | AI/ML Researcher]

Our Building Large Language Model Applications course is thoughtfully designed to provide you with foundational and advanced skills in Generative AI, LLM architecture, prompt engineering, fine-tuning, and deployment. The focus will be on translating theoretical concepts into real-world applications, from creating effective prompts to deploying models on scalable platforms. Whether it’s crafting chatbots, optimizing semantic search, or training local LLMs, this course equips you with the tools to master the end-to-end lifecycle of Large Language Models.

Course Educational Objective

 To jump-start a career in Generative AI and LLM applications by mastering LLM architectures, fine-tuning techniques, and real-world deployment strategies.

  • To inspire innovative AI-driven solutions and entrepreneurial ideas in Generative AI.
  • To prepare skilled professionals contributing to Pakistan’s growth in AI and NLP technologies.

Enroll Poster

Course Duration

One semester (4 Months)

Pre-Requisite

To ensure students can effectively grasp and implement course concepts, the following knowledge areas are required:

  • Basic Python Programming
  • Machine Learning Fundamentals and Deep Learning Concepts

Grading

Three categories of registration

  1. Credit Hours and Certificate with Grade (Class participation, submission of all assignments, Capstone Project)
  2. Certification of Participation (Class participation and submission of all assignments)
  3. Certification of Attendance (Attendance only – submission of assignments optional)
Skip to content