Python for AI
Programming, notebooks, NumPy, pandas and reproducible work
Technology & Computing
Diploma in Artificial Intelligence & Machine Learning
A grounded introduction to AI for learners who want to understand, build and evaluate useful machine learning solutions. Work with Python, real datasets and responsible development practices.
Duration6 months
ModeColombo or live online
IntakesJanuary, May and September
ScheduleWeekend, 7 guided hours per week
A practical route
Who this programme is for
Use Python, data and responsible machine learning to solve practical problems.
A strong fit for
- Learners with basic computing knowledge
- Junior developers
- Analysts
- Professionals exploring AI
Entry requirements
- GCE A/L or equivalent is recommended
- O/L Mathematics or equivalent foundation
- Basic computer literacy
- A short readiness conversation may be used for alternative entry
What you will learn.
Eight focused modules move from essential foundations to an applied final project.
Data preparation
Cleaning, exploration, features, bias and data quality
Machine learning foundations
Supervised and unsupervised learning
Model evaluation
Metrics, validation, overfitting and interpretation
Applied deep learning
Neural network concepts and practical use cases
Language and vision
NLP, computer vision and modern model workflows
Generative and responsible AI
LLM applications, limitations, safety, privacy and ethics
AI product project
Problem framing, prototyping, evaluation and presentation
Real work
Projects
- Predictive modelling study
- Text or image classification prototype
- Responsible AI capstone
Assessment
Python labs · Model evaluation reports · Applied mini-projects · Capstone demonstration
Graduate skills
Learning outcomes
- Prepare datasets for analysis
- Train and compare baseline models
- Evaluate model quality responsibly
- Prototype an AI-enabled product
- Explain limitations and ethical considerations
Career direction
Use your learning with confidence.
This diploma develops practical foundations for entry-level opportunities and further learning. Job outcomes depend on your experience, portfolio and the requirements of each employer.
AI project assistantJunior data analystMachine learning internAutomation assistantAI product support associate
Fees and award
A clear investment.
The programme fee covers scheduled teaching, standard assessment, learning resources and project feedback. Optional software or personal equipment is not included unless stated by the intake team.
ISBS Campus Diploma in Artificial Intelligence & Machine Learning
Awarded by the Institute of Studies in Business & Sciences, operating under SITC Campus, on successful completion. Programme-specific external recognition is stated only when confirmed.
Check recognition and statusProgramme fee
LKR 195,000plus LKR 10,000 registrationInstalment plan
About LKR 39,000 × 5Final schedule confirmed before enrolment.Payment detailsLearning support
Guidance that keeps you moving.
✓
Python clinic sessions
✓
Dataset and model feedback
✓
Responsible AI reviews
✓
Project presentation coaching
Programme FAQs
What learners ask.
Does this programme require advanced mathematics?
No advanced background is required, but you should be comfortable with school-level mathematics. Essential statistics are taught in context.
Will I learn generative AI?
Yes. You will explore practical generative AI workflows alongside evaluation, privacy, limitations and responsible use.
Can I study while working?
Yes. Weekend and live online schedules are designed for working learners. Your adviser will confirm the timetable available for your intake.
How are classes delivered?
Classes combine guided teaching, practical activities, feedback sessions and independent work. Delivery is available in Colombo and live online, subject to the selected intake.
Related programmes.
View allStart AI & Machine Learning.
Apply for a January, May and September intake or ask an adviser to check your fit.
