Built To Make You AI-Ready
The Gen AI Program is a 45-day, 6-course journey through how modern AI really works — from real-world datasets and tokens to embeddings, vector search, retrieval-augmented generation and large language models — with hands-on practice at every step.
Built For Real Opportunity
Understand How AI Works
Go beyond using AI tools — learn the building blocks behind every modern AI system, step by step.
Future-Ready Skills
Build in-demand skills in data, embeddings, vector search, RAG and LLMs that power today's AI products.
Hands-on Learning
Every course is practical — you work with real data and build working AI pieces as you learn.
WCS Scholarship
The WCS Scholarship covers 80% of every course fee, so learners pay only 20%.
The Course Pathway
One continuous journey — each course builds on the last, and joining the program unlocks all 6.
01Course 01 · DataDataset: Real-World Information
Learn how real-world information is collected, cleaned and structured into datasets AI can learn from.
Course 01 of 6
02Course 02 · TokensToken: Model-Ready Text
See how text is broken into tokens — the model-ready units every language model reads and writes.
Course 02 of 6
03Course 03 · EmbeddingsEmbedding: Semantic Relationships
Understand how embeddings turn words and ideas into numbers that capture meaning and relationships.
Course 03 of 6
04Course 04 · Vector SearchVector: Similarity Search
Store embeddings as vectors and find the most relevant information with similarity search.
Course 04 of 6
05Course 05 · RetrievalRAG: Evidence-Based Answers
Ground AI answers in real evidence by retrieving the right sources before generating a response.
Course 05 of 6
06Course 06 · GenerationLLM: Contextual Responses
Explore how large language models use context to generate accurate, useful responses.
Course 06 of 6- Program complete6 courses · 45 days · one portfolio of real work
How Participants Progress
Understand every layer of a modern AI system, build working AI projects and open pathways for higher education, careers and entrepreneurship in AI.
What You Will Be Able To Do
Collect
Gather and organise real-world information into clean, usable datasets.
Tokenise
Prepare text the way language models read it — as model-ready tokens.
Represent
Capture meaning and relationships between ideas with embeddings.
Search
Find the most relevant information using vector similarity search.
Retrieve
Back AI answers with evidence retrieved from trusted sources.
Generate
Use large language models to produce accurate, contextual responses.
Integrated Curriculum Journey
6 courses · 45 days · WCS Scholarship covers 80%.











