Virtual Training Computing, IT Systems, and Emerging Technologies

Machine Learning & IoT Online Course

Join our virtual, live instructor-led session and master Machine Learning & IoT Training from anywhere in the world.

10 Days Duration
Live Online Delivery
7 Dates Available
Certificate Included
None

Upcoming Virtual Training Schedules

Join from anywhere in the world with our live instructor-led sessions

Code Start Date End Date Duration Fee
MIT-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
MIT-02 Weekend (8 Weeks) USD 1,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
MIT-02 Weekend (8 Weeks) USD 1,700 Reserve my seat → Register my team →
MIT-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
Training Date
to
10 Days
USD 1,700
MIT-02
Training Date
to
10 Days
USD 1,700
MIT-02
Training Date
to
8 Weeks
USD 1,700
MIT-02
Training Date
to
10 Days
USD 1,700
MIT-02
Training Date
to
10 Days
USD 1,700
MIT-02
Training Date
to
8 Weeks
USD 1,700
MIT-02
Training Date
to
10 Days
USD 1,700
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

Built for Bahrain

From your market

Real tools and case studies from Bahrain — taught against the configurations and outcomes you'll actually encounter.

Industry Tools and Platforms Featured in this Training

4
  • AWS IoT Core Amazon Web Services
    Bahrain hosts the AWS Middle East (Bahrain) Region, providing low-latency connectivity for local IoT device management and data processing.
  • Azure IoT Hub Microsoft
    Widely used by Bahraini government entities and enterprises for secure bi-directional communication between IoT devices and the cloud.
  • SAP S/4HANA SAP
    The core ERP for major industrial players like Alba and Bapco, used to integrate IoT sensor data with business logic for predictive maintenance.
  • OneID Beyon Connect
    A digital identity platform in Bahrain that can be integrated with IoT ecosystems for secure user authentication and device interaction.

Real-World Case Studies from Bahrain

2
  • Industry 4.0 Transformation and IoT Integration 2022
    Aluminium Bahrain (Alba)

    Alba implemented Industry 4.0 technologies, including IoT sensors and machine learning models, to monitor smelter health and optimize energy consumption. The project focused on real-time data acquisition from production lines to enhance operational efficiency.

    Improved predictive maintenance capabilities and enhanced data-driven decision-making across the smelting process, supporting Alba's position as one of the world's largest smelters.

  • National AI and Cloud Integration 2023
    Information & eGovernment Authority (iGA)

    The iGA partnered with Microsoft and AWS to integrate AI and Machine Learning into government services, following Bahrain's 'Cloud First' policy. This involved migrating workloads to the cloud to enable advanced data analytics for public services.

    Streamlined government operations and the launch of AI-driven platforms like the 'Tawasul' system for improved citizen engagement.

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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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