Internship field

Artificial Intelligence

A practical AI track focused on understanding AI systems, designing useful workflows, evaluating outputs and building a small applied AI project.

AI fundamentalsPrompt designData preparationEvaluationAutomationResponsible AI
Program length:4 weeks · PKR 700

Week 1 — AI foundations

Understand AI, ML and generative AI at a practical level.

Objectives

  • AI concepts
  • Use cases
  • Limitations

Tasks (3)

  1. 1. AI landscape

    Explain AI, machine learning, deep learning and generative AI with examples.

    Deliverable: PDF.

    10 pts
  2. 2. Use-case map

    Identify 10 useful AI use cases for a chosen business and classify their risk.

    Deliverable: PDF.

    15 pts
  3. 3. Limitations review

    Analyse hallucination, bias, privacy and reliability risks in an AI workflow.

    Deliverable: PDF.

    15 pts

Week 2 — Prompt and workflow design

Create repeatable AI-assisted workflows.

Objectives

  • Prompt structure
  • Context
  • Outputs

Tasks (3)

  1. 1. Prompt library

    Create 10 structured prompts for a chosen role with inputs, constraints and output formats.

    Deliverable: Document.

    15 pts
  2. 2. Prompt testing

    Test two prompt versions against the same examples and compare output quality.

    Deliverable: Spreadsheet + examples.

    20 pts
  3. 3. Workflow design

    Design a multi-step AI workflow with human review checkpoints.

    Deliverable: Diagram.

    20 pts

Week 3 — Data and evaluation

Prepare inputs and measure AI output quality.

Objectives

  • Data quality
  • Rubrics
  • Evaluation

Tasks (3)

  1. 1. Data preparation

    Clean and structure a small text dataset for an AI task.

    Deliverable: CSV or spreadsheet.

    10 pts
  2. 2. Evaluation rubric

    Create a 10-point rubric for accuracy, relevance, tone and safety.

    Deliverable: PDF.

    15 pts
  3. 3. Evaluation report

    Run a small evaluation set and summarise results with examples.

    Deliverable: PDF.

    25 pts

Week 4 — Applied AI project

Final project

Build and document one useful AI-enabled solution.

Objectives

  • Problem solving
  • Testing
  • Responsible deployment

Tasks (3)

  1. 1. Project brief

    Define the user, problem, workflow, inputs and success metrics.

    Deliverable: PDF.

    15 pts
  2. 2. Prototype

    Create a working prototype or detailed workflow and test it on sample cases.

    Deliverable: URL or document.

    25 pts
  3. 3. Final AI report

    Document the solution, evaluation results, limitations and responsible-use safeguards.

    Deliverable: PDF.

    30 pts