Kampala, Uganda Computing, IT Systems, and Emerging Technologies

Machine Learning & IoT Training Course

East Africa's vibrant capital blending Buganda heritage with a growing tech ecosystem

10 Days Duration
In-Person Delivery
12 Dates Available
Certificate Included
None

Upcoming In-Person Schedules in Kampala

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

Code Start Date End Date Duration Fee
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,700 Reserve my seat → Register my team →
Training Date
to
10 Days
USD 3,700
MIT-02
Training Date
to
10 Days
USD 3,700
MIT-02
Training Date
to
10 Days
USD 3,700
MIT-02
Training Date
to
10 Days
USD 3,700
MIT-02
Training Date
to
10 Days
USD 3,700
MIT-02
Training Date
to
10 Days
USD 3,700
MIT-02
Training Date
to
10 Days
USD 3,700
MIT-02
Training Date
to
10 Days
USD 3,700
MIT-02
Training Date
to
10 Days
USD 3,700
MIT-02
Training Date
to
10 Days
USD 3,700
MIT-02
Training Date
to
10 Days
USD 3,700
MIT-02
Training Date
to
10 Days
USD 3,700
MIT-02

Here's What You'll Learn

Each module tackles real challenges you face in your role

1

Introduction to Machine Learning and IoT

2

Setting Up IoT Ecosystems

3

Fundamentals of Machine Learning

4

Connecting IoT with Machine Learning

5

Advanced IoT Applications

6

Building Predictive Models for IoT Data

7

Tools and Platforms for ML and IoT

8

Security and Ethics in ML and IoT

9

IoT and ML in the Public Sector

10

Future Trends in ML and IoT

While you're in Kampala

Make the trip count

Practical context for delegates flying in — what to do after class, where the local industry clusters, what to expect on the ground.

Things to do after class

8
heritage
Kasubi Tombs

UNESCO World Heritage Site and burial place of four Kabakas (kings) of the Buganda Kingdom, featuring a massive traditional grass-thatched structure and sacred grounds.

culture
Uganda National Mosque (Gaddafi Mosque)

East Africa's largest mosque on Old Kampala Hill. Climb the minaret for 360-degree panoramic views across the city's hills.

heritage
Uganda Museum

The oldest museum in East Africa, showcasing traditional artefacts, musical instruments, and an outdoor cultural village with life-sized traditional huts.

culture
Ndere Cultural Centre

Live performances of traditional Ugandan music and dance, with the popular Sherehe show on Wednesday evenings drawing locals and visitors alike.

culture
Baha'i Temple

The first Baha'i House of Worship in Africa, set on a hilltop in spacious natural gardens with serene views across Kampala.

heritage
Namirembe Cathedral

Uganda's oldest Anglican cathedral, dating back to 1890, perched on Namirembe Hill with an impressive dome and sweeping city views.

heritage
Uganda Martyrs Shrine Namugongo

Pilgrimage site and basilica commemorating the Ugandan Christians executed for their faith in 1886, drawing hundreds of thousands of visitors each June.

food
Nakasero Market

Kampala's bustling central market for fresh fruit, vegetables, spices, and local produce — an authentic taste of everyday Ugandan life.

Industry clusters worth visiting

4

Sector hubs your delegates can map a site visit, guest speaker, or post-class field study against.

01

Technology & Innovation

  • Innovation Village Kampala
  • Hive Colab
  • Outbox Hub

Kampala hosts a growing ecosystem of tech incubators and co-working spaces supporting fintech, agritech, and healthtech startups, relevant for delegates in IT governance, digital transformation, and cybersecurity training.

02

Telecommunications

  • MTN Uganda
  • Airtel Uganda

Two dominant mobile operators drive 4G/5G expansion and mobile money services across Uganda, making Kampala a practical case-study city for telecoms regulation and digital infrastructure.

03

Financial Services & Mobile Money

  • Bank of Uganda
  • Stanbic Bank Uganda

Kampala is Uganda's financial hub with the central bank headquarters and commercial banks driving mobile money adoption and financial inclusion initiatives across East Africa.

04

Higher Education & Research

  • Makerere University
  • Kyambogo University

Makerere University is one of Africa's oldest and most respected universities, producing research across public health, agriculture, and technology that informs regional policy.

Training venue

Kampala offers a range of international-standard hotels and conference venues in areas such as Nakasero, Kololo, and Munyonyo, with properties typically providing Wi-Fi, AV equipment, and dedicated meeting rooms. Mid-range to upscale venues are well-suited for professional training events.

Getting there

Delegates fly into Entebbe International Airport (EBB), approximately 30–40 minutes from central Kampala via the Kampala–Entebbe Expressway (toll road). Hotels can arrange airport transfers, and ride-hailing apps such as Uber and SafeBoda are widely available for ground transport within the city.

Visa

Most nationalities must obtain an eVisa online via the official Uganda immigration portal (visas.immigration.go.ug) before travel; the single-entry visa costs USD 50 and is valid for 90 days. East African Community citizens (Kenya, Rwanda, Tanzania, Burundi, South Sudan) enter visa-free.

Safety

Avoid carrying valuables openly and do not walk alone at night; use registered ride-hailing apps or hotel-arranged transport for evening travel. Stay alert in crowded areas and markets, and avoid large public gatherings or demonstrations.

Internet

Reliability: average

Weather year-round

  • Apr 25/17°C Peak of the long rains season with the highest monthly rainfall (~225 mm); expect afternoon downpours and higher humidity.
  • Jan 28/17°C Warm and relatively dry; one of the driest months with lower humidity — comfortable for daytime activities.
  • Jul 26/17°C Coolest month and part of the drier mid-year period; overcast skies but less rain than the wet seasons.
  • Oct 26/17°C Second rainy season (short rains) begins; frequent showers and high humidity, though mornings can be pleasant.

Built for United States

From your market

Real tools and case studies from United States — taught against the configurations and outcomes you'll actually encounter.

Industry Tools and Platforms Featured in this Training

6
  • AWS IoT Core Amazon Web Services
    The dominant cloud IoT platform in the US for connecting devices to ML services like Amazon SageMaker.
  • Azure IoT Hub Microsoft
    Widely adopted by US enterprise customers for secure bi-directional communication between IoT applications and devices.
  • TensorFlow Google
    The primary open-source library used by US data scientists for developing and deploying ML models on edge devices.
  • PyTorch Meta
    Highly favored in US academic and research environments for rapid prototyping of deep learning models for IoT data.
  • Databricks Databricks
    Used by US firms to process massive streams of IoT data and build collaborative ML pipelines.
  • ThingWorx PTC
    A leading Industrial IoT (IIoT) platform used in US manufacturing for AR integration and asset monitoring.

Real-World Case Studies from United States

2
  • Autonomous Farming with IoT and Machine Learning 2022
    John Deere

    John Deere integrated IoT sensors and ML-driven computer vision into their 8R tractors to enable fully autonomous plowing. The system uses 12 stereo cameras to detect obstacles and calculate distances in real-time.

    Enabled farmers to operate equipment remotely via a mobile app, optimizing soil preparation and addressing labor shortages in the US agricultural sector.

  • AI-Powered Predictive Maintenance for Global Energy Assets 2021
    Shell

    Shell deployed an AI-driven predictive maintenance solution across its global upstream and downstream assets, using IoT sensor data to predict equipment failures before they occur.

    Monitors over 13,000 pieces of equipment, resulting in reduced downtime and millions of dollars in avoided maintenance costs.

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