Overview:

Welcome to our transformative two-day workshop, "Generative AI for Developers," an immersive journey designed for developers, data scientists, and AI enthusiasts. Dive into the world of Large Language Models, mastering prompt engineering with hands-on experiences in ChatGPT, OpenAI API, and advanced prompting techniques. Explore the realms of Retrieval Augmented Generation, including practical applications with Bing Chat and building RAG pipelines. Uncover the exciting intersection of AI and vision, creating and reasoning about images with tools like DALL-E 3. The workshop has been designed to elevate your skills in data analysis and custom GPTs, offering insights into fine-tuning LLMs, addressing ethical considerations, and implementing AI guardrails. Join us for this comprehensive workshop to gain expertise, engage in practical learning, network with professionals, and stay at the forefront of AI innovation.

Format: Each module of this workshop is designed to include an overview and theory of a particular concept, followed by hands-on exercises using the ChatGPT UI and OpenAI API.

• Overview

• Hands-on exercises

• Implementation through the ChatGPT user interface

• Python Implementation in Jupyter Notebook / Colab

Please note: This course is designed for individuals with some background in programming and AI (or related fields), given its focus on advanced topics and practical applications.

Learning Outcomes:

• Apply prompt engineering techniques in ChatGPT, explore OpenAI API functionalities, and implement various prompting methods to generate code efficiently.

• Construct a Retrieval Augmented Generation (RAG) pipeline, integrating semantic search and Bing Chat, to demonstrate practical applications and use-cases for RAG.

• Generate images using Bing Image Creator and DALL-E, and reason about images using GPT-4V, showcasing the versatility of generative AI in vision-related tasks.

• Utilize ChatGPT for advanced data analysis, create custom GPTs for specific applications, and implement interactive AI systems using the OpenAI Assistants API.

• Engage in hands-on fine-tuning exercises, comparing prompt engineering and fine-tuning, evaluating and debugging models, and addressing ethical considerations and biases in generative AI.

Course Outline

Instructor

Dr. Agha Ali Raza

Assistant Professor in the Department of Computer Science at LUMS
Founding director of the Center for Speech and Language Technologies (CSaLT)

Application Process:

Participants must register online through the CES website by clicking on their desired course and filling out a one-page form. Before starting the registration process, please ensure that you have the following:

- A passport-sized photograph for the CES smartcard. It should be against a white background.

- Correct CNIC details.

Incorrect information provided during the registration process will lead towards cancellation of your enrolment at any stage, and participants will not be entitled to claim a refund.

Once you have completed your online registration, you may proceed to the payment section. You have two options:

1. Pay online using your bank debit/credit cards through LUMS online payment system https://pay.lums.edu.pk

2. Download the fee voucher and deposit cash in any branch of the designated banks specified on the fee voucher.

Once the payment has been made, you will receive a confirmation email within 24 to 48 working hours, and your payment status will be updated to "ENROLLED" in the online application portal.

Installment:

KalPay Taleem offers an instalment facility for participants enrolled in CES on-campus courses and workshops. If you want this option, please email taleem@kalpayfinancials.com or call at 0328 3044414 for more information.

Note: CES may cancel or postpone a course due to insufficient enrolment or unforeseen circumstances. In this case, the university will refund registration/processing fee (if any) but will not be responsible for any other related charges/expenses including cancellation/change charges by airline and travel agencies.

Note: CES may cancel or postpone a course due to insufficient enrolment or unforeseen circumstances. In this case, the university will refund registration/processing fee (if any) but will not be responsible for any other related charges/expenses including cancellation/change charges by airline and travel agencies.

Please go through Policies & Code of Conduct