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 Angola

From your market

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

Industry Tools and Platforms Featured in this Training

4
  • Microsoft Azure IoT Hub Microsoft
    Widely adopted by Angolan enterprises for connecting, monitoring, and managing IoT assets at scale.
  • SAP S/4HANA SAP
    The standard ERP for the Angolan oil and gas sector, used for integrating IoT sensor data with asset management modules.
  • Check Point Infinity Check Point Software Technologies
    Used by major local telcos for ML-driven threat prevention and network traffic analysis.
  • AWS IoT Core Amazon Web Services
    Utilized by Angolan tech startups and logistics firms for cloud-based device management and data processing.

Real-World Case Studies from Angola

2
  • Digital Transformation and Predictive Analytics Strategy 2022
    Banco Angolano de Investimentos (BAI)

    Deployment of a cloud-first infrastructure and data analytics platform to shift IT operations from reactive maintenance to predictive value-added services for customers.

    Improved operational efficiency and the ability to deliver personalized banking solutions by leveraging data-driven insights to predict customer needs and market trends.

  • ML-Driven Network Anomaly Detection and Security 2023
    Unitel SA

    Integration of machine learning-based security and analytics platforms to monitor a vast telecommunications perimeter and detect network anomalies in real-time.

    Strengthened protection of critical national infrastructure and improved network reliability by identifying and mitigating threats before they impact service delivery.

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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Amnesty International
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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
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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