Nairobi, Kenya Computing, IT Systems, and Emerging Technologies

Machine Learning & IoT Training Course

East Africa’s innovation, diplomatic and training hub with vibrant urban energy

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

Upcoming In-Person Schedules in Nairobi

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

Code Start Date End Date Duration Fee
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 2,900 Reserve my seat → Register my team →
Training Date
to
10 Days
USD 2,900
MIT-02
Training Date
to
10 Days
USD 2,900
MIT-02
Training Date
to
10 Days
USD 2,900
MIT-02
Training Date
to
10 Days
USD 2,900
MIT-02
Training Date
to
10 Days
USD 2,900
MIT-02
Training Date
to
10 Days
USD 2,900
MIT-02
Training Date
to
10 Days
USD 2,900
MIT-02
Training Date
to
10 Days
USD 2,900
MIT-02
Training Date
to
10 Days
USD 2,900
MIT-02
Training Date
to
10 Days
USD 2,900
MIT-02
Training Date
to
10 Days
USD 2,900
MIT-02
Training Date
to
10 Days
USD 2,900
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 Philippines

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

5

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

  • Packetworx LoRaWAN Network Packetworx Inc.
    The primary public IoT connectivity provider in the Philippines, used for low-power wide-area network (LPWAN) applications like smart metering and asset tracking.
  • AWS SageMaker Amazon Web Services
    Widely adopted by Philippine enterprises like UnionBank for building, training, and deploying machine learning models at scale.
  • Yellow.ai Yellow.ai
    A conversational AI platform used by major Philippine banks and retailers to automate customer support and service queries.
  • Cloudera Data Platform Cloudera
    Used by local financial institutions to manage large-scale data repositories and run machine learning models for predictive analytics.
  • ThingPark Wireless Actility
    The underlying platform for managing the Philippines' nationwide LoRaWAN gateways and IoT device lifecycle.

Real-World Case Studies from Philippines

1
  • DATOS: AI for Remote Sensing and Disaster Management 2018
    DOST-Advanced Science and Technology Institute (DOST-ASTI)

    The DATOS project applies Machine Learning and AI to satellite imagery and data from over 2,000 automated weather sensors. The system automates the detection of flood extents, agricultural land use, and infrastructure damage following natural disasters.

    Enabled rapid potential flood mapping and automated census of agriculture and fisheries (AI4CAF), providing critical geospatial insights to government agencies for disaster response and resource planning.

    View source

Training visit intelligence for Nairobi

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

Optional after-class stops

8
nature
Nairobi National Park

Unique wildlife reserve on the city’s edge where you can see lions, rhinos and giraffes against a skyline backdrop.

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nature
David Sheldrick Wildlife Trust Elephant Nursery

Renowned sanctuary for orphaned elephants where visitors can watch daily feeding and learn about conservation efforts.

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nature
Giraffe Centre

Conservation and education centre where you can view and feed endangered Rothschild’s giraffes from raised platforms.

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culture
Karen Blixen Museum

Historic farmhouse of author Karen Blixen, showcasing colonial-era life and the setting of “Out of Africa.”

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culture
Nairobi National Museum

Flagship museum presenting Kenya’s history, cultures and natural heritage, including notable prehistoric fossils.

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heritage
Bomas of Kenya

Cultural centre with traditional homesteads and daily music and dance performances representing Kenya’s communities.

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nature
Karura Forest

Urban forest ideal for jogging, walking and cycling, featuring waterfalls, caves and well-marked trails.

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food
Westlands entertainment district

Lively commercial and nightlife district with many restaurants, bars and malls suitable for post-training dining and networking.

Local demand signals 5

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

01

Telecommunications and mobile financial services

Nairobi is a regional hub for telecoms and mobile money, with Safaricom’s M-Pesa platform frequently studied in digital finance and innovation programs.

02

Information and communication technology (ICT) and startups

Co-working spaces and incubators in Nairobi’s tech ecosystem support training and collaboration in software development, entrepreneurship and digital skills.

03

Banking and financial services

As a financial centre for East Africa, Nairobi hosts major banks and regulators, offering case-study opportunities in regulation, risk and inclusive finance.

04

Development, diplomatic and non-governmental organisations

Nairobi’s concentration of UN agencies and diplomatic missions makes it a key venue for training on development policy, climate, urbanisation and diplomacy.

05

Logistics and regional headquarters

Nairobi’s position as a transport and logistics hub supports training in supply chain, aviation management and regional trade.

Training venue

Nairobi offers a wide range of modern hotels and conference venues, including international chains and dedicated training centres with reliable meeting facilities and catering suitable for professional programs.

Getting there

Most international delegates arrive via Jomo Kenyatta International Airport (NBO), about 15–30 km from key business districts; licensed airport taxis, app-based ride-hailing services and hotel transfers are the most common options to reach central Nairobi and training venues.

Visa

Kenya has introduced a visa-free regime for all foreign nationals, but travelers must complete an electronic Travel Authorization (eTA) online before arrival; confirm current requirements and processing times well ahead of travel.

Safety

Central business districts and major training venues are generally busy and secure, but delegates should use registered taxis or app-based rides at night, keep valuables discreet, and follow local advice on areas to avoid after dark.

Internet

Reliability: good

Weather year-round

  • Apr 23/14°C Warm but wetter as part of the long rainy season, so expect showers and plan for indoor sessions or transport buffers.
  • Jan 25/13°C Generally warm and sunny with minimal rainfall, comfortable for daytime training and evening activities.
  • Jul 21/11°C Coolest period of the year with overcast skies and pleasant temperatures; light layers are useful, especially in the mornings and evenings.
  • Oct 24/14°C Warm with the onset of short rains, typically featuring a mix of sunshine and afternoon or evening showers.

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