Muscat, Oman Computing, IT Systems, and Emerging Technologies

Machine Learning & IoT Training Course

Join our hands-on, in-person training session in Muscat and accelerate your professional growth.

5 Days Duration
In-Person Delivery
12 Dates Available
Certificate Included
Master machine learning and IoT training to connect devices, predict outcomes, and build data-driven solutions through practical workshops.

Upcoming In-Person Schedules in Muscat

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Code Start Date End Date Duration Fee
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
MIT-02 Mon - Fri (5 Days) USD 4,800 Reserve my seat → Register my team →
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Here's What You'll Learn

Each module tackles real challenges you face in your role

1

Machine Learning and IoT Foundations

2

Sensor Data Readiness

3

Machine Learning Models

4

IoT Anomaly Detection

5

Edge AI and Deployment

6

Governance and Security

7

Integration and Reporting

Market-specific guidance for Senegal

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

Why this course matters in Senegal

Strategic context for the risks, opportunities, and capability gaps this training addresses locally.

As Senegal executes its 'Sénégal Numérique 2025' strategy and the recently launched 'New Deal Technologique' (2025), the integration of IoT and Machine Learning has moved from experimental pilots to a national priority for digital sovereignty. This course provides the technical and strategic framework for Senegalese teams to transition from simple sensor connectivity to automated, model-driven decision systems in critical sectors like agriculture, energy, and logistics. It enables leaders to make evidence-based investment decisions that align with the National AI Strategy (2023-2028), which aims to train 90,000 professionals to modernize the country's public and private infrastructure.

National AI Strategy Alignment

Senegal's National AI Strategy and Road Map (2023-2028) specifically targets the use of AI and Big Data to catalyze the Plan Sénégal Émergent (PSE), making ML-IoT integration a core competency for public sector modernization.

Spectrum & Connectivity Standards

The ARTP's 2022 regulations on Short Range Devices (SRD) have opened specific frequency bands (e.g., 57-64GHz for radars and UWB) that are essential for high-precision industrial IoT and smart city deployments in Diamniadio.

Data Protection Constraints

Under Law No. 2008-12, the Commission de Protection des Données Personnelles (CDP) strictly regulates automated processing; IoT deployments must ensure 'privacy by design' to avoid significant administrative fines for non-compliant sensor data collection.

With the launch of the 'New Deal Technologique' in February 2025, there is immediate pressure on Senegalese organizations to digitize state registries and industrial operations. This training is critical now as the government seeks to increase the digital economy's GDP contribution from 3.3% to 10% by 2025 through advanced automation and AI.

Tools and platforms relevant to this field

3

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

  • Live Objects Orange Business
    A multi-protocol IoT device management platform used locally for analyzing collected data and integrating LTE-M sensors.
  • IoT Connect Orange Business Senegal
    Used for managed global connectivity and remote optimization of business processes without human intervention.
  • LoRaWAN Various (Orange/Expresso)
    The dominant low-power wide-area network protocol for rural agritech and smart water metering projects across Senegal.

Real-World Case Studies from Senegal

2
  • 5G-Connected Precision Agriculture Pilot 2022
    Orange Senegal

    A collaborative experiment using 5G-connected drones and IoT sensors to monitor crop ripeness and hydration levels in real-time, utilizing AI for predictive harvesting.

    Demonstrated the ability to conduct near-real-time crop assessment and automated hydration monitoring, providing a blueprint for the '5G4AGRI' initiative in the region.

    View source
  • Smart Agriculture Solutions for Thiès 2021
    University of Thiès

    Implementation of a modular architecture using IoT, LoRa, and AI to enhance productivity in market gardening, fish farming, and dairy production in the Thiès region.

    Created a reliable data collection system to optimize farming practices and address climate change challenges through environmental monitoring.

    View source

Where this course runs

Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.

Real Results from Real Professionals

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

Customize Training Duration

The standard duration for Machine Learning & IoT Training is 5 Days. The options below are alternative durations with adjusted pricing.

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Bank of Rwanda
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