Mombasa, Kenya Computing, IT Systems, and Emerging Technologies

Machine Learning & IoT Training Course

Kenya's historic coastal gateway where Swahili heritage meets Indian Ocean horizons

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

Upcoming In-Person Schedules in Mombasa

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

Code Start Date End Date Duration Fee
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 3,200 Reserve my seat → Register my team →
Training Date
to
10 Days
USD 3,200
MIT-02
Training Date
to
10 Days
USD 3,200
MIT-02
Training Date
to
10 Days
USD 3,200
MIT-02
Training Date
to
10 Days
USD 3,200
MIT-02
Training Date
to
10 Days
USD 3,200
MIT-02
Training Date
to
10 Days
USD 3,200
MIT-02
Training Date
to
10 Days
USD 3,200
MIT-02
Training Date
to
10 Days
USD 3,200
MIT-02
Training Date
to
10 Days
USD 3,200
MIT-02
Training Date
to
10 Days
USD 3,200
MIT-02
Training Date
to
10 Days
USD 3,200
MIT-02
Training Date
to
10 Days
USD 3,200
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

Market-specific guidance for Togo

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

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.

  • Orange Live Objects Orange Business
    A popular IoT platform in Francophone Africa used for device management, data collection, and visualization over GSM and LoRaWAN networks.
  • ThingsBoard ThingsBoard, Inc.
    An open-source IoT platform frequently used by Togolese tech startups for data collection, processing, and device management due to its scalability.
  • AWS IoT Core Amazon Web Services
    Used by larger enterprises and government projects in Togo to connect IoT devices to cloud services securely and at scale.
  • TensorFlow Google
    The primary open-source library used by Togolese data scientists for developing and deploying machine learning models in agriculture and finance.

Real-World Case Studies from Togo

2
  • Predictive Targeting for Social Assistance (Novissi) 2020
    Government of Togo

    During the COVID-19 pandemic, the Togolese government used machine learning algorithms to analyze satellite imagery and mobile phone metadata to identify and provide cash transfers to the most vulnerable citizens.

    Successfully distributed over $34 million in aid to approximately 920,000 people, with ML models significantly improving the accuracy of poverty targeting compared to traditional methods.

    View source
  • IoT-Enabled Rural Electrification (CIZO) 2019
    Bboxx Togo

    Bboxx, in partnership with the Togolese government and EDF, deployed IoT-enabled solar home systems across rural Togo. These systems use integrated sensors to monitor energy consumption and battery health in real-time.

    Enabled a pay-as-you-go (PAYG) model for thousands of households, allowing remote deactivation for non-payment and proactive maintenance based on IoT performance data.

    View source

Training visit intelligence for Mombasa

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

Optional after-class stops

8
heritage
Fort Jesus

A 16th-century Portuguese fortress and UNESCO World Heritage Site housing a museum on Mombasa's maritime and colonial history.

Learn more
culture
Mombasa Old Town

A historic neighbourhood of narrow streets reflecting Swahili, Arab, Asian, Portuguese and British architectural influences — ideal for a walking tour.

nature
Haller Park

A rehabilitated quarry in Bamburi transformed into a thriving nature park where visitors can walk among giraffes and diverse wildlife.

nature
Mombasa Marine National Park

A protected marine reserve popular for snorkelling and diving among coral reefs, with sightings of turtles, dolphins and tropical fish.

leisure
Nyali Beach

A white-sand beach on Mombasa's north coast with calm waters, watersports and nearby upscale hotels and restaurants.

culture
Bombolulu Workshop & Cultural Centre

A non-profit centre in Kisauni where artisans with disabilities produce jewellery, textiles and carvings, with cultural dance demonstrations.

heritage
Mombasa Tusks (Pembe za Ndovu)

Iconic tusk-shaped arches spanning Moi Avenue, built in 1952 and forming the letter 'M' for Mombasa — a signature city photo stop.

food
Marikiti Market

Mombasa's vibrant spice market offering turmeric, cloves, cardamom, local fruits and Swahili souvenirs in a lively bargaining atmosphere.

Local demand signals 4

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

01

Maritime & Port Logistics

The Port of Mombasa is one of the largest and busiest in East and Central Africa, with direct connectivity to over 80 ports worldwide, making maritime logistics the city's dominant economic sector.

02

Tourism & Hospitality

Mombasa is Kenya's premier coastal tourism destination, with beach resorts, marine parks and proximity to Tsavo and Shimba Hills driving a large hospitality workforce.

03

Manufacturing & Refining

Mombasa hosts a cement plant, oil refinery, steel mill and aluminium rolling mill, forming an industrial base linked to the port's import-export flows.

04

Telecommunications & BPO

Major intercontinental undersea telecom cables land near Mombasa, supporting a growing call-centre and business process outsourcing cluster in the region.

Training venue

Mombasa offers a range of hotels from international-standard beach resorts in Nyali and Diani to business-class properties on Mombasa Island, many of which have conference and training facilities. Delegates should confirm venue AV equipment and room layout in advance, as standards vary.

Getting there

Moi International Airport (IATA: MBA) is approximately 10 km from Mombasa city centre, with a transfer time of about 20–25 minutes. Licensed Kenatco taxis are available outside both terminals; rideshare apps (Uber, Bolt, Little) also operate in Mombasa, and pre-booked private transfers are recommended for groups.

Visa

Kenya replaced traditional visas with an Electronic Travel Authorization (eTA) from January 2024. Most non-African nationals must apply via etakenya.go.ke at least 7 days before travel (~USD 32–34); many African nationals are exempt following the May 2025 expansion. Confirm your specific eligibility on the official eTA portal.

Safety

Mombasa is generally welcoming to visitors, but delegates should use licensed taxis or rideshare apps rather than informal transport, especially after dark. Keep valuables discreet, stay aware in crowded market areas, and carry a copy of your passport rather than the original.

Internet

Reliability: average

Weather year-round

  • Apr 31/24°C Start of the long rains season; high humidity and frequent afternoon showers.
  • Jan 32/23°C Hot and dry with minimal rainfall (~35 mm); one of the driest months and part of the peak season.
  • Jul 27/22°C Coolest month with southeast trade winds; relatively dry but occasional showers from the sea.
  • Oct 30/23°C Transition to the short rains; warm with variable rainfall that can be heavy in some years.

Real Results from Real Professionals

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

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