PILLAR 01 / AI SKILLING
Learn AI. Apply AI.
Build with AI.
Practical, industry-oriented learning that turns AI knowledge into capability. Discover a pathway for your next step.
LEARNING PATHWAYS
Start where you are.
Grow towards what’s next.
Three connected levels take you from AI literacy to applied engineering and advanced research systems.
COURSE 01 / FOUNDATION
AI Generalist
Foundations of Generative AI
80
hours
2 WEEKS
36 teaching hours and 44 lab hours. Learn AI literacy, prompting, responsible use, Python, SQL and prototyping.
COURSE 02 / PROFESSIONAL
Domain AI engineering
SLM / LLM & Generative AI
150
hours
4 WEEKS
A pathway towards applied, domain-specific AI engineering. Detailed curriculum and entry requirements are to be announced.
COURSE 03 / ADVANCED
AI systems & research
Indigenous SLM / LLM systems
300
hours
8 WEEKS
A pathway towards advanced model systems and research engineering. Detailed curriculum and entry requirements are to be announced.
Programme durations follow the programme brochure. Cohort dates, fees, entry requirements and higher-level curricula await confirmation.
COURSE 01 / FOUNDATION
AI Generalist —
Foundations of Generative AI
A complete, practical curriculum for Applied Generative AI and SLM / LLM Prototyping.
2 weeks
Programme duration
36 hours
Teaching sessions
44 hours
Hands-on lab training
Up to 100
Learners per cohort
01
Introduction to AI
11 TOTAL HOURS
TEACHING / 6 HOURS
- Introduction to AI, machine learning, deep learning and Generative AI
- Large Language Models (LLMs) versus Small Language Models (SLMs)
- How AI works: tokens, models and context
- AI capabilities, limitations and applications across industries
HANDS-ON LAB / 5 HOURS
- AI versus human challenge
- Compare outputs from different AI models
- Identify AI opportunities in everyday workflows
- Map industry use cases and real-world challenges
02
Prompt engineering
24 TOTAL HOURS
TEACHING / 10 HOURS
- Prompt fundamentals: roles, context, constraints and output formats
- Zero-shot and few-shot prompting
- Structured prompting, reasoning and iterative refinement
- Prompt evaluation and quality improvement
HANDS-ON LAB / 14 HOURS
- Hands-on prompting using ChatGPT, Claude and Gemini
- Document analysis, research, data extraction and content generation
- Scenario-based prompting challenges
- Build and evaluate reusable prompt templates
03
AI tools, ethical use & cybersecurity
15 TOTAL HOURS
TEACHING / 10 HOURS
- AI productivity, analytics, presentation, coding and automation tools
- Responsible AI: bias, privacy and copyright
- Hallucinations, misinformation and unsafe outputs
- AI cybersecurity risks: phishing, prompt injection and data protection
HANDS-ON LAB / 5 HOURS
- AI tools lab for documents, spreadsheets, presentations and automation
- Compare tools through a practical challenge
- Detect hallucinations, bias and unsafe outputs
- Cybersecurity simulations and a responsible AI checklist
04
Prototyping with Python & SQL
30 TOTAL HOURS
TEACHING / 10 HOURS
- Introduction to Python and SQL for AI applications
- Data handling, preparation, basic queries and analysis
- AI-assisted coding, debugging and API integration concepts
- Prototype architecture, problem identification and MVP development
HANDS-ON LAB / 20 HOURS
- Python and SQL hands-on lab
- AI-assisted rapid prototyping
- Industry hackathon with a proposed 30+ industry-defined problem statements
- Team-based MVP development, testing, demonstration and jury evaluation
80 hours. Four modules. One working prototype.
Learn online, practise in person and demonstrate your learning through an industry-inspired challenge.
COURSE 02 / PROFESSIONAL
Domain SLM / LLM and Generative AI Engineering
4 weeks · 150 hours · Up to 100 learners per cohort
02
COURSE CONTENT
Detailed curriculum and entry requirements will be published here when confirmed.
COURSE 03 / ADVANCED
Indigenous SLM / LLM Systems and Research Engineering
8 weeks · 300 hours · Up to 100 learners per cohort
03
COURSE CONTENT
Detailed curriculum and entry requirements will be published here when confirmed.
BEYOND THE CLASSROOM
Learn. Explore.
Build. Demonstrate.
Online expert-led sessions introduce the concepts. In-person practical sessions help you use the tools and work through an industry-inspired challenge.
- Understand GenAI, SLM and LLM concepts.
- Design and evaluate effective prompts.
- Apply introductory Python and SQL.
- Build and present a practical AI prototype.
Certification is subject to approved attendance, assessment and programme requirements.
BECOME PART OF THE ECOSYSTEM
Make your first AI idea real.
Explore learning pathways for students, professionals, founders, educators and industry teams.