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 Sri Lanka

From your market

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

Industry Tools and Platforms Featured in this Training

4
  • Ideamart Dialog Axiata PLC
    A specialized API platform used by local developers to integrate IoT device connectivity and SMS/USSD triggers into ML-driven applications.
  • SenzAgro SenzMate
    A leading local AIoT platform specifically designed for the Sri Lankan agricultural sector to monitor agronomic traits and automate greenhouse environments.
  • Microsoft Azure IoT Hub Microsoft
    Widely adopted by Sri Lankan enterprises (e.g., in the apparel and banking sectors) for cloud-based device management and large-scale data ingestion for ML models.
  • Dialog SmartLife Dialog Axiata PLC
    The primary consumer-facing IoT integration app in Sri Lanka, used for managing smart home devices and security systems.

Real-World Case Studies from Sri Lanka

1
  • SenzAgro Precision Agriculture Platform 2023
    SenzMate (Pvt) Ltd

    A local startup developed the SenzAgro AIoT platform to provide smallholder and commercial farmers with real-time soil moisture, temperature, and humidity data to automate irrigation.

    Reported potential yield increases of up to 20% and significant reductions in water and fertilizer waste through data-driven precision farming.

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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UNDT SACCO
UNFPA
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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