Overview:

This course enables participants to grasp the essentials of generative AI and its development, empowering them with the skills to make informed decisions, foster innovation, and lead digital transformation efforts within organisations. It offers crucial theoretical and practical resources to enhance productivity and facilitate business expansion through efficient automation.

Artificial Intelligence transforms industries by automating tasks, analysing vast amounts of data, and delivering critical insights. Among the various subsets of AI, generative AI is notable for its capability to generate novel content ranging from text and visuals to music and software code by learning from existing data patterns. 

Generative AI is increasingly used to automate complex tasks, once done only by humans. Industries such as marketing, healthcare, finance, and entertainment leverage this technology to spur innovation and boost operational efficiency. As generative AI advances, its ability to propel innovation and enhance efficiency across different sectors is expected to increase, reshaping the landscape of work and business.

Learning Outcomes:

By the end of this course, the students should be able to: 

• Comprehend and articulate the historical evolution of artificial intelligence, including its beginnings and key principles.

• Utilise cutting-edge generative AI tools to streamline workflows and boost productivity at work.

• Apply principles of prompt engineering to improve organisational outcomes and achieve objectives.

• Use generative AI for tasks like video summarisation, automated research, and understanding conversational data.

• Recognise opportunities, ethical issues, and potential obstacles in digital transformation through generative AI applications.

• Mitigate risks, safeguard data privacy, and improve customer experiences using generative AI technologies and strategies.

Please note: We provide tailored versions of our courses to cater to the specific needs of organisations. The pricing for customised courses may differ from that of our open-enrollment courses. For more details on pricing and instructor information, kindly reach out to us via email at ces@lums.edu.pk.

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.