CERP Learning Hub Courses 2026-2027

Fast-track your analytical and strategic expertise with CERP Learning Hub’s 2026-2027 programs. Whether you are building core capabilities through our 1-day online Foundation Courses or mastering high-stakes decision-making in our 2-day in-person Masterclasses, each offering pairs rigorous empirical methods with hands-on application to help you lead in an evolving landscape.

Upcoming Courses

  1. Masterclasses

Smart Policy for Practitioners | 11–12 November 2026

Advanced Econometrics for Impact Evaluation | 17–18 February 2027

Gender, Inclusion & Evidence in Program Design | 28–29 April 2027

Gender, Inclusion & Evidence in Program Design

Inclusive policies require inclusive evidence. The Gender, Inclusion, and Evidence in Program Design masterclass explores how data and research can be used to identify inequalities, evaluate program designs, and inform policies that leave no one behind. This two day, in depth course, taking place at CERP Lahore from April 28th to 29th, 2027, brings gender specialists together to examine whether program designs genuinely account for gendered barriers to access, and to tell gender blind, gender sensitive, and gender transformative approaches apart using real examples. Participants will evaluate the evidence base behind an inclusion focused intervention for its weaknesses, apply an inclusion audit framework to a real or sample program, and propose a specific, evidence backed design adjustment to improve outcomes.

Learning Objectives

By the end of this course, participants will be able to:

1. Analyze how a given program design accounts for (or fails to account for) gendered barriers to access, across sectors such as social protection, health, and education.
2. Differentiate between gender-blind, gender-sensitive, and gender-transformative program design, using concrete examples across different sectors and contexts.
3. Evaluate the evidence base behind an inclusion-focused intervention for methodological or contextual weaknesses.
4. Apply an inclusion-audit framework to a real or sample program design, drawing on examples from social protection, health, education, or other relevant sectors.
5. Propose one specific design adjustment to improve a program's gender/inclusion outcomes, grounded in evidence discussed during the session.

Faculty

Hadia Majid

Associate Professor & Chairperson Department of Economics, LUMS

Hadia Majid

Dr. Hadia Majid is Associate Professor and Chair of the Department of Economics at LUMS. Her research agenda considers the impact of monetary and public resource constraints on individuals in Pakistan with a special focus on women’s access to decent, empowering work. She has published in international journals and is currently editing a book titled Gender at Work in Pakistan. She has received grants from several agencies including ESRC-DFID, Oxfam, IDRC, IGC, IFPRI among others and has acted as a consultant for numerous government and non-governmental agencies on gendered labor market outcomes. A Fulbright scholar, she has a PhD from The Ohio State University and MSc from University of Warwick.

Deadlines:

  • Early Bird: 7th April 27
  • Regular: 21 April 27

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  1. Foundation Courses

Fundamentals of Impact Evaluation | 30 September 2026

Fundamentals of Impact Evaluation

Impact measurement starts here.

Build a strong foundation in monitoring, evaluation, and learning through the Fundamentals of Impact Evaluation training. Scheduled for 30th September 2026, this online, day-long course introduces participants to the distinct roles of monitoring, evaluation, and learning (MEAL) within program design, along with practical frameworks for evaluation, indicator development, and impact measurement. Participants will leave equipped to construct theories of change, select and justify indicators, and critically assess evaluation plans to strengthen program design and efficiency across sectors.

Learning Objectives

By the end of this course, participants will be able to:

  1. Understand the difference between Monitoring, Evaluation, and Learning (MEAL) and how outputs, outcomes, and impact fit into each
  2. Compare experimental and non-experimental evaluation designs and judge which fits a given program constraint
  3. Construct a basic theory of change for a sample program
  4. Select and justify indicators against SMART-type criteria for a real-world scenario
  5. Critique a provided evaluation plan and propose one concrete revision, defending the trade-off involved

Faculty

Shabeeh Haider Raza

Project Manager, Civil Service Project

Shabeeh Haider Raza

Shabeeh Haider Raza is Project Manager on CERP's Civil Service Project, evaluating bureaucrats' preferences, motivation, and performance for researchers at LSE, UC Davis, and the University of Bristol. He holds a Master of Economics from the University of Melbourne, with interests in development, health, and behavioral economics.

Before CERP, he worked at the Punjab Board of Investment & Trade, analyzing
macroeconomic trends for provincial investment policy.

Deadlines:

  • Early Bird: 15 September 2026
  • Regular: 23 September 2026

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Data, Ethics and AI | 21 October 2026

Data, Ethics and AI

As artificial intelligence becomes increasingly integrated into decision-making, understanding its ethical implications is more important than ever.

Join our course on Data, Ethics & AI, scheduled for October 21st, 2026. This online, day-long training goes beyond theory where participants will examine real AI use cases to identify where bias can enter a system, learn to distinguish privacy risk from ethical risk, and apply a practical ethical-review checklist to a real dataset or tool. Through a structured debate on the trade-off between speed and safeguards, participants will leave with one concrete step they can apply to a real risk in their own work.

Learning Objectives

By the end of this course, participants will be able to:

  1. Analyze a real or hypothetical AI use case to surface where bias could enter the pipeline (data, model, deployment)
  2. Differentiate between privacy risk and ethical risk in a data workflow, using concrete examples
  3. Apply an ethical-review checklist to a dataset or tool and identify specific gaps
  4. Debate the efficiency-vs-safeguard trade-off in a structured group exercise, taking and defending a position
  5. Propose one practical mitigation for a bias or privacy risk identified during the session

Faculty

Shanze Fatima Rauf

PhD Candidate & Teaching Assistant (Department of Political Science)

Shanze Fatima Rauf

Shanze Fatima Rauf is a PhD candidate in the Department of Political Science at the University of Pennsylvania, where she has served as a teaching assistant for courses including Global Development: Data, Politics and Practice and International Political Economy. Before joining Penn, she worked as a Research Associate on projects examining women's political participation and mobility in Pakistan, including Metaketa V and DFID's A4EA research programme. She holds a Master's degree in Politics from New York University, where she was a recipient of the Fulbright Master's Scholarship and the GSAS Tuition Scholarship.

Deadlines:

  • Early Bird: 30 September 2026
  • Regular: 14 October 2026

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Introduction to Research Methods | 25 November 2026

Introduction to Research Methods

Develop the skills to design and conduct rigorous research through our training on Introduction to Research Methods. An online, day-long course held on November 25th, 2026, this immersive session equips participants with practical knowledge of research design and sampling strategy while also building the critical skills to choose the right method for a given research question and spot weaknesses in existing study designs. Participants will leave having drafted a mini research proposal outline and evaluated a real published study to identify its strongest limitation.

Learning Objectives

By the end of this course, participants will be able to:

  1. Match a given research question to the most defensible method (qualitative, quantitative, mixed), justifying the choice
  2. Diagnose threats to validity and reliability in a sample study design
  3. Design a basic sampling strategy for a stated research objective
  4. Apply core research design principles to draft a mini research proposal outline
  5. Evaluate a real published study's methodology and identify its strongest limitation

Faculty

Kamran Khan Niazi

Economist / PhD Candidate in Development Economics

Kamran Khan Niazi

Kamran Khan Niazi is an Economist at the Food and Agriculture Organization of the United Nations (FAO) and a PhD candidate in Development Economics at Wageningen University. At FAO, he has spent the past several years conducting impact evaluations of development programs. Prior to joining FAO, he was a Research Manager at Precision Development (PxD), where his work centered on quantifying program impact. He holds a Master's in Economics from the Toulouse School of Economics and a Master's in International Affairs from the Geneva Graduate Institute (IHEID).

 

Deadlines:

  • Early Bird: 4 November 2026
  • Regular: 18 November 2026

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Python for Everyone: Learn Python in the Age of AI | 29 December 2026

Public Policy Advocacy Foundations | 03 February 2027

Public Policy Advocacy Foundations

Introducing our online Public Policy Advocacy Foundations course on February 3rd, 2027. This day long training equips participants to map stakeholders and power dynamics, identify the right entry point within the policy cycle for a given issue, and build a coalition strategy for a sample campaign. Through the critique of a real world advocacy campaign, participants will examine what drives success or failure in practice, before drafting their own one page advocacy pitch using the session's framing techniques.

Learning Objectives

By the end of this course, participants will be able to:

  1. Map stakeholders and power dynamics for a real advocacy issue
  2. Analyze a policy issue against the relevant stage of the policy cycle to identify the right entry point for advocacy
  3. Construct a coalition-building strategy for a sample campaign
  4. Critique a real-world advocacy campaign, identifying what drove its success or failure
  5. Draft a one-page advocacy pitch applying the session's framing techniques

Faculty

Anum Malkani

Public Affairs & Strategic Policy Advisor (former Regional Lead at Visa & Amazon Web Services)

Anum Malkani

Anum brings over a decade of experience in public affairs, policy development, and strategic advisory across Middle East and Asia Pacific.

She has held regional leadership roles at Visa (Middle East) and Amazon Web Services (Asia Pacific), where she led government engagement strategies across diverse markets, designed and executed high impact policy programs, and helped shape evolving policy and regulatory ecosystems. Earlier in her career, she worked at Microsoft and Deloitte Consulting, strengthening her foundation at the intersection of technology, policy, and business.

Anum’s thought leadership has been widely published, and she has spoken at conferences and webinars across the United States, Europe, the Middle East, and AsiaPacific. Known for her ability to navigate geopolitical complexity and forge strategic alliances, she brings a distinctive combination of technical expertise, commercial insight, and diplomatic skill.

Anum holds a BA in Economics from Claremont McKenna College (USA) and an MBA from INSEAD (France). She is also certified in Cloud Computing and Artificial Intelligence.

Deadlines:

  • Early Bird: 13 January 2027
  • Regular: 27 January 2027

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Generative AI in Data Analysis | 17 March 2027

Generative AI in Data Analysis

Discover how generative AI is reshaping the way data is analysed and interpreted. Introducing the Generative AI in Data Analysis course on March 17th, 2027. This online, day long training helps participants judge which analytical tasks are genuinely suited to GenAI assistance, apply prompt engineering to get precise, usable output, and run a full mini analysis from data exploration through to summary. Participants will also learn to catch inaccurate or hallucinated output and build a simple QA process to validate GenAI assisted work before relying on it.

Learning Objectives

By the end of this course, participants will be able to:

  1. Evaluate which analytical tasks are well-suited to GenAI assistance versus those requiring traditional methods
  2. Apply prompt-engineering techniques to extract a specific, usable analytical output from a GenAI tool
  3. Execute an end-to-end mini analysis (data exploration to summary) using a GenAI-assisted workflow
  4. Assess GenAI-generated output for accuracy, hallucination risk, and reliability against a known-answer check
  5. Design a lightweight QA process for validating GenAI-assisted analysis before use

Faculty

Sharyar Irfan

Senior FP&A Analyst (Europe Region)

Anum Malkani

Sharyar Irfan is a Senior FP&A Analyst based in the United Kingdom, with over a decade of experience in financial planning, analysis, and business partnering across global industries including enterprise software, manufacturing, retail FMCG, and professional services. He currently works in FP&A for the Europe region at IFS, a multinational enterprise software company, where he specialises in forecasting, financial modelling, KPI design, and strategic insight for senior leadership.

He holds a First‑Class BSc (Econ) from the University of Buckingham, an MBA with Distinction from Bangor University, and is a qualified ACMA, CGMA and Chartered Banker. His professional background includes group level analytical roles at PTT GC - Matrix Polymers and Countrywide/Connells Group, where he delivered reporting automation, budgeting & forecasting frameworks, and performance management systems.

Sharyar is passionate about mentoring and advancing evidence based decision making, with a growing focus on GenAI enabled analytical workflows and capacity building for emerging professionals.

Deadlines:

  • Early Bird: 26 February 2027
  • Regular: 09 March 2027

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Introduction to Project Management | 13 April 2027

Introduction to Project Management

From planning and resource allocation to execution and delivery, successful projects rely on sound management practices. The Introduction to Project Management course scheduled for April 13th, 2027, is an online, day long training that equips participants to sequence a project lifecycle and map out its dependencies, and apply planning tools such as Gantt charts and RACI matrices to a real project scenario. Participants will also learn to identify the risk factors most likely to derail a project timeline, build a basic mitigation plan, and critique a real project plan to propose a concrete improvement.

Learning Objectives

By the end of this course, participants will be able to:

  1. Sequence the phases of a project lifecycle for a real project scenario, identifying dependencies
  2. Apply planning tools (e.g., Gantt chart, RACI matrix) to a sample project
  3. Analyze a project scenario to identify the top risk factors likely to derail its timeline
  4. Construct a basic risk-mitigation plan for an identified risk
  5. Critique a real or simulated project plan and propose a concrete improvement

Faculty

Mehr Tiwana

Director, Learning Hub

Mehr Tiwana

Mehr Tiwana is a strategic communications leader and PMP-certified project management professional with over 12 years of experience crafting impactful narratives for global non-profits, educational institutions, and social impact organisations. After earning a Master's in Communication from Western Sydney University, she began her career in Pakistan, holding progressive communications roles at leading educational and research organisations, including LUMS and CERP, where she also designed and led professional development and skills building initiatives for diverse stakeholder groups. She later moved to Canada, where she applied her expertise in multichannel campaign strategy, project management, and stakeholder engagement at World Education Services. Her work fosters inclusive messaging, strengthens organisational brand, and enhances internal and external collaboration, while building the capabilities of teams and communities through structured learning and development programming.

Deadlines:

  • Early Bird: 23 March 2027
  • Regular: 6 April 2027

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Negotiation, Influence and Relationship Building | 26 May 2027

Negotiation, Influence and Relationship Building

Negotiation is a core leadership capability. Whether securing stakeholder support, aligning competing priorities, building partnerships, managing clients, allocating resources or resolving disagreements, professionals negotiate every day. Effective negotiators do more than advocate for their position. They understand interests, prepare alternatives, build trust, manage relationships and create conditions for better decisions.
This workshop introduces practical negotiation frameworks while developing the broader capabilities that drive successful outcomes: stakeholder analysis, influence, trust-building, communication and strategic preparation. The course combines concise evidence-based inputs, practical exercises, peer-to-peer simulations, reflection activities and facilitated debriefs.

Learning Objectives

By the end of this course, participants will be able to:

1. Diagnose the interests, incentives and constraints that influence negotiation outcomes.
2. Prepare a structured negotiation strategy using BATNA analysis, stakeholder mapping and objective criteria.
3. Apply active listening, framing and relationship-building techniques during a live negotiation exercise.
4. Recognize how trust, influence and communication shape organizational decision-making.
5. Analyze negotiation outcomes and identify the behaviours that influenced the result.
6. Develop a practical action plan to strengthen negotiation and stakeholder-management effectiveness.

Faculty

Huzaifa Akhtar

Partner (Economic Advisory practice, EY-Parthenon)

Huzaifa Akhtar

Huzaifa Akhtar is a Partner in EY Canada’s Economic Advisory practice (EY-Parthenon), based in Toronto. She advises public and private sector leaders on high-stakes strategic, investment, and policy decisions grounded in rigorous economic analysis and stakeholder alignment. Her portfolio covers market opportunity assessment, sector and workforce strategy, economic forecasting, and risk resilience across healthcare, consumer sectors, and education. She specializes in applying evidence-based economic frameworks to navigate complex multi-stakeholder negotiations and drive lasting value.

Deadlines:

  • Early Bird: 05 May 2027
  • Regular: 19 May 2027

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Pricing & Special Offers

  • Standard Fee: PKR 25,000 (Foundation Courses)/ PKR 60,000 (Master Classes)
  • Early Bird (10% off): PKR 22,500/ PKR 54,000
  • Bundle Deal (15% off): when you enrol in 3 or more courses.

Disclaimer

  1. CERP reserves the right to cancel or postpone any program if enrolment falls short or unforeseen circumstances arise. Should this happen, the registration fee will be refunded in full; however, CERP cannot cover any additional costs incurred by participants, including airline or travel agency cancellation and rebooking fees.
  2. If a program is postponed rather than cancelled, participants may choose to carry their fee forward to the rescheduled session or apply it toward a different CERP program instead of requesting a refund. Program policies and fees are subject to change at CERP’s discretion.