Unique wildlife reserve on the city’s edge where you can see lions, rhinos and giraffes against a skyline backdrop.
Learn moreMachine Learning & IoT Training Course
East Africa’s innovation, diplomatic and training hub with vibrant urban energy
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 → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
Introduction to Machine Learning and IoT
Setting Up IoT Ecosystems
Fundamentals of Machine Learning
Connecting IoT with Machine Learning
Advanced IoT Applications
Building Predictive Models for IoT Data
Tools and Platforms for ML and IoT
Security and Ethics in ML and IoT
IoT and ML in the Public Sector
Future Trends in ML and IoT
Market-specific guidance for Liberia
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
4Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Orange Live Objects Orange BusinessA multi-protocol IoT platform used locally for device management, data collection, and visualization, particularly for smart metering and asset tracking.
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mWater mWaterWidely used by the Liberian government and NGOs for real-time monitoring of water, sanitation, and health (WASH) infrastructure.
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ThingsBoard ThingsBoard, Inc.An open-source IoT platform frequently used by local tech hubs and researchers for environmental monitoring and smart agriculture projects.
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Yield Hub Opti DigitalAn AI-powered dynamic pricing tool used by major digital platforms in the region to optimize advertising yield through machine learning.
Real-World Case Studies from Liberia
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Industrial Automation at the Tokadeh Concentrator 2025ArcelorMittal Liberia
As part of a $1.8 billion Phase 2 expansion, ArcelorMittal inaugurated a state-of-the-art iron ore concentrator facility. The plant utilizes advanced industrial automation and IoT sensors to monitor the beneficiation process, rail logistics, and port transshipment systems in real-time.
Quadrupled iron ore production capacity from 5 million to 20 million tonnes per annum while improving product grade through automated quality control.
View source -
Digital Water Point Mapping and Monitoring 2023Ministry of Public Works (Liberia)
The Liberian government, in collaboration with international partners, utilized the mWater platform to map and monitor thousands of water points across the country. The system uses mobile data collection and IoT-ready sensors to track water functionality and quality.
Enabled data-driven maintenance schedules for rural water infrastructure, significantly reducing the downtime of critical community water sources.
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
8Renowned sanctuary for orphaned elephants where visitors can watch daily feeding and learn about conservation efforts.
Learn moreConservation and education centre where you can view and feed endangered Rothschild’s giraffes from raised platforms.
Learn moreHistoric farmhouse of author Karen Blixen, showcasing colonial-era life and the setting of “Out of Africa.”
Learn moreFlagship museum presenting Kenya’s history, cultures and natural heritage, including notable prehistoric fossils.
Learn moreCultural centre with traditional homesteads and daily music and dance performances representing Kenya’s communities.
Learn moreUrban forest ideal for jogging, walking and cycling, featuring waterfalls, caves and well-marked trails.
Learn moreLively 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.
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.
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.
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.
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.
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
Direct service is listed from Monrovia to Nairobi on Kenya Airways and Delta Air Lines, arriving at Jomo Kenyatta International Airport (NBO); published schedule data also shows Monrovia–Nairobi as a direct route, with other booking sources listing Ethiopian Airlines and ASKY as one-stop alternatives. Approximate nonstop journey time is about 7–8 hours, while one-stop options via Addis Ababa or another hub will take longer.
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.
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.























