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.
Week 1 — AI foundations
Understand AI, ML and generative AI at a practical level.
Objectives
- AI concepts
- Use cases
- Limitations
Tasks (3)
- 10 pts
1. AI landscape
Explain AI, machine learning, deep learning and generative AI with examples.
Deliverable: PDF.
- 15 pts
2. Use-case map
Identify 10 useful AI use cases for a chosen business and classify their risk.
Deliverable: PDF.
- 15 pts
3. Limitations review
Analyse hallucination, bias, privacy and reliability risks in an AI workflow.
Deliverable: PDF.
Week 2 — Prompt and workflow design
Create repeatable AI-assisted workflows.
Objectives
- Prompt structure
- Context
- Outputs
Tasks (3)
- 15 pts
1. Prompt library
Create 10 structured prompts for a chosen role with inputs, constraints and output formats.
Deliverable: Document.
- 20 pts
2. Prompt testing
Test two prompt versions against the same examples and compare output quality.
Deliverable: Spreadsheet + examples.
- 20 pts
3. Workflow design
Design a multi-step AI workflow with human review checkpoints.
Deliverable: Diagram.
Week 3 — Data and evaluation
Prepare inputs and measure AI output quality.
Objectives
- Data quality
- Rubrics
- Evaluation
Tasks (3)
- 10 pts
1. Data preparation
Clean and structure a small text dataset for an AI task.
Deliverable: CSV or spreadsheet.
- 15 pts
2. Evaluation rubric
Create a 10-point rubric for accuracy, relevance, tone and safety.
Deliverable: PDF.
- 25 pts
3. Evaluation report
Run a small evaluation set and summarise results with examples.
Deliverable: PDF.
Week 4 — Applied AI project
Final projectBuild and document one useful AI-enabled solution.
Objectives
- Problem solving
- Testing
- Responsible deployment
Tasks (3)
- 15 pts
1. Project brief
Define the user, problem, workflow, inputs and success metrics.
Deliverable: PDF.
- 25 pts
2. Prototype
Create a working prototype or detailed workflow and test it on sample cases.
Deliverable: URL or document.
- 30 pts
3. Final AI report
Document the solution, evaluation results, limitations and responsible-use safeguards.
Deliverable: PDF.