01
Data foundations
Work with Python, SQL, cleaning, transformation and exploratory analysis.
Primary Specialization
Data, AI & Machine Learning
Learn to turn raw data into trustworthy analysis, models and intelligent applications using Python, SQL, machine learning and modern AI patterns.
Capability systemCorePython + SQL
ModelsML + evaluation
AILLM + RAG
What you will experience
Intelligence is only useful when it survives contact with real data.
Projects focus on messy inputs, measurement, evaluation and business context — not just notebook demos.
02
Analytics
Build metrics, dashboards and decision-focused analysis.
03
Machine learning
Train, evaluate and improve supervised and unsupervised models.
04
Data pipelines
Understand ingestion, transformation and reproducible workflows.
05
Generative AI
Work with LLM APIs, embeddings, RAG and evaluation.
06
Business application
Connect data and models to practical enterprise decisions.
ENVO learning model
Learn → Practice → Build → Operate → Prove.
Concepts move into hands-on practice, then working builds, enterprise context and evidence. Each stage is designed to make the next one more meaningful.
✓Structured sequence rather than random content
✓Hands-on work immediately after important concepts
✓Projects and enterprise workflows that connect technologies
✓Evidence captured in assessments and the ENVO Skill Profile
Enterprise context is part of the curriculum.
Students see technology through operating scenarios across retail, restaurants, distribution and manufacturing.
RetailPricing · inventory · orders
RestaurantsMenus · kitchens · delivery
DistributionWarehouses · fulfilment
ManufacturingBOM · planning · quality
Build capability that works at work.
Structured learning, hands-on labs, enterprise workflows and proof of skills — in one system.