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 Nigeria
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
5Field-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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ThingsBoard ThingsBoard, Inc.An open-source IoT platform frequently used by Nigerian startups for device management, data collection, and visualization due to its scalability and support for various protocols like MQTT and CoAP.
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AWS IoT Core Amazon Web ServicesUsed by Nigerian enterprises to securely connect IoT devices to the cloud and integrate with ML services like Amazon SageMaker for predictive modeling.
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Microsoft Azure IoT Hub MicrosoftA central message hub for bi-directional communication between IoT applications and devices, often paired with Power BI for local corporate reporting.
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TensorFlow GoogleThe primary open-source library used by Nigerian data scientists to build and deploy machine learning models for IoT edge devices.
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Power BI MicrosoftThe dominant business intelligence tool in Nigeria for visualizing real-time data streams coming from IoT sensors in manufacturing and logistics.
Real-World Case Studies from Nigeria
3-
Cold Chain Monitoring for Healthcare and Agriculture 2023Figorr (formerly Gricd)
Figorr utilizes IoT-enabled hardware and data logging devices to provide real-time tracking of temperature, humidity, and location for highly perishable goods like vaccines and fresh produce across Nigeria.
Reduced post-harvest losses and vaccine spoilage by providing automated alerts and predictive analytics to logistics providers, ensuring integrity of the cold chain.
View source -
Precision Agriculture via Soil Sensors 2021Zenvus
Zenvus deploys proprietary IoT sensors in Nigerian farms to measure soil moisture, temperature, and nutrient levels, using ML algorithms to provide tailored fertilizer and irrigation recommendations to farmers via a mobile app.
Improved crop yields for smallholder farmers and reduced input waste by transitioning from blanket application to data-driven precision farming.
View source -
Remote Monitoring and Control of Solar Assets 2022Arnergy
Arnergy integrates IoT controllers into their solar energy systems to monitor battery health, energy generation, and consumption patterns in real-time for commercial and residential clients in Nigeria.
Enabled a 'Pay-As-You-Go' business model and reduced maintenance costs through predictive diagnostics that identify battery failures before they occur.
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
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.
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.























