Pretoria, South Africa Artificial Intelligence, Automation, and Machine Learning

Supervised and Unsupervised Learning Techniques Training Course

South Africa's administrative capital where government, science and heritage converge for professional growth

5 Days Duration
In-Person Delivery
12 Dates Available
Certificate Included
Master supervised and unsupervised learning techniques to enhance data-driven decisions, optimize processes, and drive innovation through practical applications.

Upcoming In-Person Schedules in Pretoria

Reserve Your Spot Today — Pay When You're Ready!

Code Start Date End Date Duration Fee
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
SUL-01 Mon - Fri (5 Days) USD 3,300 Reserve my seat → Register my team →
Training Date
to
5 Days
USD 3,300
SUL-01
Training Date
to
5 Days
USD 3,300
SUL-01
Training Date
to
5 Days
USD 3,300
SUL-01
Training Date
to
5 Days
USD 3,300
SUL-01
Training Date
to
5 Days
USD 3,300
SUL-01
Training Date
to
5 Days
USD 3,300
SUL-01
Training Date
to
5 Days
USD 3,300
SUL-01
Training Date
to
5 Days
USD 3,300
SUL-01
Training Date
to
5 Days
USD 3,300
SUL-01
Training Date
to
5 Days
USD 3,300
SUL-01
Training Date
to
5 Days
USD 3,300
SUL-01
Training Date
to
5 Days
USD 3,300
SUL-01

Here's What You'll Learn

Each module tackles real challenges you face in your role

1

Introduction to Machine Learning Techniques

2

Data Preprocessing and Feature Engineering

3

Supervised Learning Techniques

4

Unsupervised Learning Techniques

5

Model Evaluation and Validation

6

Integrating Machine Learning into Business Processes

7

Ethical Considerations and Data Governance

8

Advanced Machine Learning Techniques

9

Case Studies and Industry Applications

10

Strategic Implementation and Reporting

Market-specific guidance for New Zealand

A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.

Why this course matters in New Zealand

Strategic context for the risks, opportunities, and capability gaps this training addresses locally.

Supervised and unsupervised learning matter in New Zealand because organisations are increasingly using data to improve forecasting, customer segmentation, risk detection, and operational automation. The course is especially relevant for analytics, BI, and machine learning teams that need to choose the right modelling approach for labelled and unlabeled data, then turn results into decisions leaders can act on. It supports better prioritisation of resources, sharper targeting of customers or services, and more reliable pattern detection across public and private sectors.

Better use of limited labelled data

In New Zealand organisations, many valuable datasets are small, fragmented, or only partially labelled, so teams need to know when supervised models are feasible and when unsupervised methods can uncover structure without a target variable.

Useful across regulated and customer-facing work

The course is relevant for finance, health, government, retail, and telecommunications teams that need to classify cases, segment users, or detect anomalies while keeping model choices explainable to stakeholders.

Improves decision quality before advanced AI adoption

For many New Zealand employers, practical ML capability is a stepping stone to broader AI use: staff who understand clustering, classification, and model evaluation can deliver value before moving to more complex automation or generative AI projects.

This training is timely because New Zealand organisations are under pressure to use data more effectively while keeping decisions defensible and operationally efficient. It is particularly relevant where teams are modernising analytics stacks, improving customer and risk models, or building internal capability for data-driven transformation.

Tools and platforms relevant to this field

4

Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.

  • Power BI Microsoft
    Used for analysing business data, building dashboards, and communicating model outputs to non-technical stakeholders.
  • Tableau Salesforce
    Used for exploratory analysis, visual pattern discovery, and presenting clustering or segmentation results.
  • Python Python Software Foundation
    Used to build and test supervised and unsupervised learning workflows with common machine learning libraries.
  • scikit-learn scikit-learn developers
    Used for implementing standard classification, regression, clustering, and model evaluation workflows.

Training visit intelligence for Pretoria

Practical notes for confirmed delegates: arrival, venue expectations, after-class options, and on-the-ground considerations.

Optional after-class stops

8
heritage
Union Buildings

South Africa's seat of government and presidential offices, set on a hilltop with terraced gardens, panoramic city views, and the iconic 9-metre Nelson Mandela statue.

heritage
Voortrekker Monument

A 60-metre granite National Heritage Site commemorating the 19th-century Great Trek, featuring the Hall of Heroes with 27 marble relief panels.

Learn more
heritage
Freedom Park

A memorial and museum on Salvokop Hill honouring South Africa's liberation history, with panoramic views over the city and the Voortrekker Monument.

Learn more
nature
Pretoria National Botanical Garden

A 76-hectare garden showcasing South African plant species grouped by climatic region, with paved nature trails through natural vegetation.

Learn more
leisure
National Zoological Gardens of South Africa

An 85-hectare zoo and research hub housing over 500 species, with a reptile park, walk-through aviary, and inland aquarium.

nature
Groenkloof Nature Reserve

South Africa's first proclaimed nature reserve (1895), offering hiking, mountain biking, and game drives to see giraffes, zebras, and antelope just south of the city centre.

heritage
Church Square

The historic heart of Pretoria, surrounded by grand old buildings including the Palace of Justice, with the Paul Kruger statue at its centre.

heritage
Melrose House

A beautifully preserved Victorian mansion where the Treaty of Vereeniging ending the Anglo-Boer War was signed, featuring original furnishings and stained glass.

Local demand signals 5

Sector-level context showing where this capability is relevant in Pretoria.

01

Government and Public Administration

Pretoria is South Africa's administrative capital, hosting government departments, ministries, and foreign embassies — relevant for delegates in governance, compliance, and public-sector training.

02

Science, Research and Technology

The CSIR, headquartered on its Pretoria campus, is Africa's largest R&D organisation. Combined with two major universities, the city is a hub for applied research and technology skills development.

03

Defence and Aerospace

Pretoria hosts the SANDF headquarters and state-owned defence manufacturer Denel, making it relevant for delegates in defence, security, and aerospace sectors.

04

Higher Education and Distance Learning

UNISA, headquartered in Pretoria, is the largest distance-learning university in Africa, making the city a natural fit for education-sector and e-learning training programmes.

05

Telecommunications

Telkom, South Africa's national fixed-line operator, is headquartered in Pretoria, anchoring the city's role in the country's telecommunications infrastructure.

Training venue

Pretoria offers a solid range of 4- and 5-star hotels and dedicated conference facilities in suburbs such as Hatfield, Brooklyn, and Centurion. The CSIR International Convention Centre is a purpose-built venue frequently used for professional training and conferences.

Getting there

No direct flights are confirmed from New Zealand to Pretoria’s nearest major airport, O. R. Tambo International Airport (JNB) in Johannesburg; Air New Zealand shows Auckland (AKL) to Johannesburg (JNB), which is typically a connecting itinerary for Pretoria onward travel rather than a nonstop to Pretoria. Approximate long-haul time is around 16–18 hours to Johannesburg, with onward ground transfer or separate domestic connection to Pretoria.

Visa

New Zealand passport holders can enter South Africa visa-free for up to 90 days, so a 5-day professional training trip to Pretoria does not require a visa. The New Zealand Government’s SafeTravel page confirms South Africa entry guidance for New Zealand travellers and notes dual South African/New Zealand citizens must use their South African passport if they hold South African citizenship.

Safety

Avoid wearing visible jewellery, keep valuables concealed, and do not walk alone at night — use ride-hailing services for evening travel. Stay in well-known suburbs such as Hatfield, Brooklyn, or Waterkloof and remain aware of your surroundings in the CBD.

Internet

Reliability: good

Weather year-round

  • Apr 24/13°C Autumn transition; rainfall drops significantly and days become drier and pleasant.
  • Jan 29/18°C Warmest month; afternoon thunderstorms common with ~135 mm rainfall. Humid (62%).
  • Jul 21/5°C Coldest month; dry (only ~3 mm rain) with clear skies. Nights can be cold — bring layers.
  • Oct 27/14°C Spring warmth returns; low humidity (~35%) and minimal early-month rain. Jacaranda trees in bloom.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Trusted by 100+ organizations across 40+ countries

Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University