Generative AI & Agentic AI for (non-tech) Managers

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+92 42 3560 8243 +92 42 3560 8119

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The existing AI-Enabled Organisations programme at LUMS focuses on senior executives and prioritises strategy.

This new programme is designed for mid-level managers (4-7 years of experience) and emphasises the practical application of generative and agentic AI. Participants, primarily from non-tech backgrounds, will develop hands-on skills in prompt engineering, agentic AI architectures, retrieval-augmented generation (RAG), and ethical governance. A single session provides a strategic overview to ensure managers can align AI projects with organisational goals without duplicating the extensive strategy focus of the earlier programme.

Practical AI skills: Participants will learn how to effectively interact with GenAI systems and design AI agents. We will focus on job-enhancement skills, improving operational efficiency and mitigating risk.

Cross-functional collaboration: Agentic AI enhances collaboration by sharing data and automatically assigning follow-ups. Managers will learn how to integrate AI across functions to drive alignment. Participants will learn use cases across verticals such as HR, Sales, Marketing, and Customer Support to understand the strengths of these systems.

Improved decision-making and productivity: Generative AI and agentic AI automate routine tasks and proactively surface insights. They will learn how agentic AI systems think, learn and act independently, processing real-time information and executing tasks without constant human direction.

Reduced AI confidence gap: Surveys show that most executives invest in AI, yet have low confidence in managing AI projects. Only 26 % of executives feel comfortable handling AI initiatives. The programme builds confidence through hands-on labs and real-world case studies.

Organisational advantage: Participants will learn how implementing such systems will improve productivity, risk management, customer service and innovation across departments (finance, healthcare, insurance and retail).

Through innovative pedagogical tools, interactive discussions and hallmark case studies, the participants will come across the following areas:

Foundation of AI and generative AI: Overview of AI, machine-learning vs. generative AI, capabilities and limitations; business use cases across industries.
Prompt engineering: Strategies for writing effective prompts) and best practices.
Retrieval-augmented generation (RAG): Combining LLMs with external data sources to produce context-specific answers and reduce hallucinations.
Building gen-AI workflows: Use of tools and low-code platforms to chain LLMs with retrieval or business logic.
Agentic AI: Definition and operation of agentic AI—semi-autonomous systems that interpret goals, plan, make decisions, adjust behaviour and coordinate tools. Differences between agentic and generative A.
Designing AI agents: Frameworks to build AI agents that perceive, reason, plan, act and learn
Ethical and responsible AI: Fairness, transparency, accountability, privacy and security—core principles for responsible AI deployment.
Change management and strategic alignment: How managers champion AI adoption, build governance frameworks and align AI projects with business objectives.

Programme Director

SULEMAN SHAHID
Associate Professor, Computer Science
PhD, Tilburg University, the Netherlands
EngD, Eindhoven University of Technology, the Netherlands
Research Interests:
Computer Human Interaction; User Experience Design and Strategy; Design-Driven Innovation; Digital Experience for Next Billion Users (ICT4D) and Assistive Digital Technologies for Children and the Elderly

Co-Programme Director

USSAMA YAQUB

Assistant Professor Management Information Systems
PhD, Rutgers the State University of New Jersey

Research Interests:

Social Media Data Analyses; Including Sentiment and Behavior Analyses; Data Mining and studying the use of Twitter for Campaigning during General Elections

This programme is designed for:

Role and experience: Mid-level managers or high-potential team leads with 4–7 years of experience across functions (operations, finance, marketing, HR, product management or IT).
Background: Primarily non-technical managers seeking practical skills to implement AI initiatives. Previous exposure to AI concepts is helpful but not required; a willingness to experiment and collaborate is essential.
Industry: Open to participants from diverse sectors, including manufacturing, services, healthcare, financial services, retail and public sector.

Programme Fee	PKR 180,000
Residential Fee	PKR 80,000

* Programme fee includes tuition cost, reading material, tea and lunch served during the programme.
* Residential fee and accommodation clause below are not applicable for programme offerings in Karachi.

ACCOMMODATION
If you wish to avail accommodation at LUMS, there will be an additional fee. It includes accommodation, breakfasts and dinners for the duration of the programme. However, any extra charges such as telephones, extra meals etc should be paid on departure. You may check-in on the evening preceding the start date of the programme and check-out the morning after the programme ends. You are, however, requested to inform us of the time of your arrival and departure.

We offer single bed accommodation at the Rausing Executive Centre. Each bedroom with an attached bathroom is equipped with a mini-fridge, writing desk and direct dial STD/ISD telephone and cable TV. All bedrooms at REC are internet-ready. Please note we do not provide accommodation for drivers accompanying participants.

ADMISSION PROCESS
Applications will be screened with regard to their suitability for each programme. Kindly ensure that your complete online application form reaches the office by the deadline. Incomplete application forms will not be entertained.

*Seat in the programme will be reserved on a first-come, first-served basis.

PAYMENT

Payment is due upon receipt of the acceptance email/letter along with the invoice. Please ensure that the payment reaches the office BEFORE the start of the programme. Space in the programme may only be ensured after we receive the fee.

Payment can be made directly through:

Debit/credit card by visiting https://pay.lums.edu.pk You can process the payment by selecting REDC payments from the Payment Type Section and entering a valid voucher number and access code mentioned on the voucher. Additional bank charges may apply.
Cash, Crossed Cheque or Pay Order/Bank Draft made in favor of "Lahore University of Management Sciences" at any United Bank- Limited (UBL) branch against the programme voucher.

Our preferred mode of payment is by debit/credit card and crossed cheque/banker’s draft payable to "Lahore University of Management Sciences". However, the programme fee can also be paid via bank transfer.

If you wish to dispatch the cheque directly to our office, please send it to:

Marketing Manager
Rausing Executive Development Centre
Lahore University of Management Sciences
Sector "U", DHA, Lahore Cantt. Lahore - 54792
Tel: +92-42-35608119-8243

* LUMS is a not-for-profit organisation under the Income Tax Ordinance 2001. Accordingly, the income of LUMS is not tax-deductible/collectable.

DISCOUNT POLICY
If more than two executives from the same organisation participate (up to a group size of 5 participants) in a programme, each additional participant after the first two gets a 20% discount on the programme fee.

SUBSTITUTES/TRANSFERS AND REFUNDS
If you are unable to attend a registered course, we will accept a substitute until 2 working days before the programme. Substitute candidates will be subject to the same selection process as the original one. If you wish to cancel your name from a programme, please notify in writing or on call at least 5 working days before the programme. In case of late cancellation, the programme fee will be refunded after deducting an application processing fee of PKR 40,000.

It is possible to transfer the deposited fee to any open enrolment programme within 3 years. Transfers should be notified at least 5 working days before the programme. In case the participant or sponsoring organisation fails to utilise the funds within 3 years, the deposited fee will be forfeited.

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

In case of postponement, the fee may be transferred to the rescheduled offering of that programme or any other programme as an alternative to refund. The University reserves the right to make changes in its programme policies and fees at any time.

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