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 Philippines

From your market

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

Industry Tools and Platforms Featured in this Training

5
  • Packetworx LoRaWAN Network Packetworx Inc.
    The primary public IoT connectivity provider in the Philippines, used for low-power wide-area network (LPWAN) applications like smart metering and asset tracking.
  • AWS SageMaker Amazon Web Services
    Widely adopted by Philippine enterprises like UnionBank for building, training, and deploying machine learning models at scale.
  • Yellow.ai Yellow.ai
    A conversational AI platform used by major Philippine banks and retailers to automate customer support and service queries.
  • Cloudera Data Platform Cloudera
    Used by local financial institutions to manage large-scale data repositories and run machine learning models for predictive analytics.
  • ThingPark Wireless Actility
    The underlying platform for managing the Philippines' nationwide LoRaWAN gateways and IoT device lifecycle.

Real-World Case Studies from Philippines

1
  • DATOS: AI for Remote Sensing and Disaster Management 2018
    DOST-Advanced Science and Technology Institute (DOST-ASTI)

    The DATOS project applies Machine Learning and AI to satellite imagery and data from over 2,000 automated weather sensors. The system automates the detection of flood extents, agricultural land use, and infrastructure damage following natural disasters.

    Enabled rapid potential flood mapping and automated census of agriculture and fisheries (AI4CAF), providing critical geospatial insights to government agencies for disaster response and resource planning.

Real Results from Real Professionals

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

Trusted by 100+ organizations across 40+ countries

Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
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
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