Computing, IT Systems, and Emerging Technologies Seychelles

Machine Learning & IoT Training Course

What if your organization could predict customer needs before they even arise? Or monitor and optimize systems in real-time with zero downtime? Welcome to the world of Machine Learning (ML) and the Internet of Things (IoT), where intelligent algorithms meet interconnected devices to revolutionize how we work, live, and innovate. In today’s fast-paced corporate landscape, these technologies are no longer a luxury, they’re the competitive edge your team needs to stay ahead.

This course bridges the gap between theory and application, diving deep into the transformative potential of ML and IoT for businesses across sectors. Whether you're looking to harness predictive analytics, automate workflows, or unlock the full power of smart devices, this training provides the hands-on expertise you need to lead the charge.

Duration
10 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Foundation To Intermediate
Level
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Choose Your Preferred Training Format

Training Options

Reserve Your Spot Today — Pay When You're Ready!

Live Online Training

Join from anywhere with interactive virtual sessions

Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
10 Days
USD 2,900
Kigali Rwanda
Mon - Fri
10 Days
USD 3,800
Dubai United Arab Emirates (UAE)
Mon - Fri
10 Days
USD 7,800
Zanzibar Tanzania
Mon - Fri
10 Days
USD 4,300
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (10 Days) USD 2,900 English See dates & reserve →
Kigali, Rwanda Mon - Fri (10 Days) USD 3,800 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (10 Days) USD 7,800 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (10 Days) USD 4,300 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (10 Days) USD 4,900 English See dates & reserve →
Mombasa, Kenya Mon - Fri (10 Days) USD 3,200 English See dates & reserve →
Cape Town, South Africa Mon - Fri (10 Days) USD 7,500 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (10 Days) USD 6,000 English See dates & reserve →
Kampala, Uganda Mon - Fri (10 Days) USD 3,700 English See dates & reserve →
Pretoria, South Africa Mon - Fri (10 Days) USD 5,900 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (10 Days) USD 3,700 English See dates & reserve →
Naivasha, Kenya Mon - Fri (10 Days) USD 3,200 English See dates & reserve →
Kisumu, Kenya Mon - Fri (10 Days) USD 3,200 English See dates & reserve →
Accra, Ghana Mon - Fri (10 Days) USD 7,900 English See dates & reserve →
Nakuru, Kenya Mon - Fri (10 Days) USD 3,200 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

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

Our instructor comes to your office — same curriculum and accredited certificate, with case studies built around the work your team actually does.

Team Training

Train your entire team together in a familiar environment for better collaboration

Fully Customized

Content tailored to your industry, tools, and specific business challenges

Cost Effective

Save on travel & accommodation costs when training multiple employees

Flexible Scheduling

Choose dates that work best for your team's availability and projects

How It Works
1
Request a Quote

Tell us about your team size, preferred dates, and training goals

2
Get a Custom Proposal

Receive a tailored training plan and competitive pricing within 24 hours

3
We Come to You

Our certified trainer arrives ready to deliver impactful, hands-on training

Ready to upskill your team on Machine Learning & IoT Training?

No commitment required · Response within 24 hours

About the Course

The Machine Learning and IoT landscape is reshaping industries, from predictive maintenance in manufacturing to smart city innovations and personalized customer experiences. But how do you integrate these powerful technologies into your organization seamlessly? This course doesn’t just explain what ML and IoT are, it empowers you to implement them effectively.

Through interactive modules, real-world case studies, and practical exercises, you’ll discover how ML and IoT work in harmony to solve complex problems and unlock new opportunities. From setting up IoT ecosystems to training ML models for actionable insights, you’ll gain a comprehensive understanding of these technologies and their limitless potential. Whether your focus is improving operational efficiency or driving data-driven decisions, this course is your gateway to the future.


Target Audience

This course is tailored for professionals eager to embrace the transformative power of Machine Learning and IoT:

  • Data analysts and scientists looking to expand their expertise
  • IT managers navigating digital transformation strategies
  • Public sector professionals driving smart city initiatives
  • NGO leaders seeking innovative solutions for social impact
  • Corporate executives exploring AI-driven decision-making
  • Engineers and developers building IoT solutions
  • Operations managers optimizing workflows with predictive analytics
  • Product managers designing smart, connected products
  • Entrepreneurs launching tech-forward ventures
  • Tech enthusiasts passionate about the future of AI and IoT

Course Objectives

This course equips participants to excel in the rapidly evolving digital landscape. By the end, you will:

  • Understand the fundamentals of Machine Learning and IoT
  • Learn how ML and IoT complement each other in real-world applications
  • Design and deploy IoT systems to collect and transmit data
  • Build and train ML models to analyze and act on IoT-generated data
  • Leverage predictive analytics to drive business innovation
  • Explore ethical considerations and best practices for ML and IoT integration
  • Develop end-to-end solutions using ML algorithms and IoT devices
  • Translate technical concepts into actionable strategies for your organization

Professional and Organizational Impact

Mastering ML and IoT opens doors to unparalleled career growth and impact. Here’s what you’ll gain:

  • Enhanced technical skills in two of the most sought-after fields
  • The ability to innovate and lead in data-driven environments
  • Practical experience with tools and platforms like TensorFlow and IoT frameworks
  • Expertise in creating smarter, more efficient workflows
  • Recognition as a forward-thinking professional in your industry
  • Opportunities to contribute to transformative projects across sectors
  • Confidence in navigating the challenges of emerging technologies

This course isn’t just an investment in your people—it’s a strategic move for your organization. Here’s why:

  • Increased efficiency through automation and predictive maintenance
  • Enhanced decision-making with real-time, data-driven insights
  • The ability to stay competitive in an AI-powered economy
  • Streamlined operations with interconnected systems and smart devices
  • Greater innovation potential with cross-functional ML and IoT integration
  • Improved customer satisfaction with personalized and intelligent solutions
  • Future-proofing your workforce against technological disruptions

Training Methodology

We believe learning is most impactful when it’s interactive, practical, and tailored to real-world challenges. Our methodology includes:

  • Hands-on workshops to design and deploy IoT systems
  • Practical coding exercises to build and train ML models
  • Case studies analyzing successful ML and IoT applications
  • Collaborative projects simulating real-world scenarios
  • Expert-led sessions demystifying technical concepts
  • Self-paced modules supported by comprehensive resources
  • Feedback and mentorship to guide your learning journey

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 1,700
22nd Jun-3rd Jul 2026

Nairobi

Kenya
USD 2,900
6th Jul-17th Jul 2026

Kigali

Rwanda
USD 3,800
27th Jul-7th Aug 2026

Dubai

United Arab Emirates (UAE)
USD 7,800
29th Jun-10th Jul 2026

Zanzibar

Tanzania
USD 4,300
22nd Jun-3rd Jul 2026

Addis Ababa

Ethiopia
USD 4,900
29th Jun-10th Jul 2026

Mombasa

Kenya
USD 3,200
29th Jun-10th Jul 2026

Cape Town

South Africa
USD 7,500
22nd Jun-3rd Jul 2026

Johannesburg

South Africa
USD 6,000
27th Jul-7th Aug 2026

Pretoria

South Africa
USD 5,900
6th Jul-17th Jul 2026

Kampala

Uganda
USD 3,700
6th Jul-17th Jul 2026

Dar es Salaam

Tanzania
USD 3,700
22nd Jun-3rd Jul 2026

Kisumu

Kenya
USD 3,200
22nd Jun-3rd Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Machine Learning & IoT Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Skills Relevance & Industry Demand

  • Master cutting-edge skills in Machine Learning & IoT, essential for tomorrow’s tech landscape.
  • Stay ahead with IoT integrations and ML algorithms, demanded by tech leaders globally.
  • Transform raw data into smart solutions, powering innovations in multiple industries.

Expert-Led Learning Experience

  • Learn from industry pioneers with years of experience in Machine Learning and IoT.
  • Gain insider insights with real-world case studies from tech experts.
  • Experience hands-on training using state-of-the-art IoT devices and ML platforms.

Career Advancement Opportunities

  • Elevate your career with dual expertise in IoT and Machine Learning, a rare skill set.
  • Unlock new job opportunities in high-tech sectors, with skills that set you apart.
  • Prepare for leadership roles with advanced knowledge in two of the fastest-growing tech fields.

Industry Tools and Platforms Featured in this Training

The platforms and vendors Seychelles teams are running today — taught against real configurations, not generic vendor demos.

4
  • Microsoft Dynamics 365 Microsoft
    Used by major utilities like PUC for integrated ERP and billing systems that process IoT meter data.
  • MECOMS Ferranti
    A specialized energy and utility billing solution integrated with local ERPs to handle smart grid data.
  • SeyID Department of Information Communications Technology (DICT)
    The national digital identity platform used to secure access to government e-services and IoT-linked citizen data.
  • Power BI Microsoft
    Widely adopted by local financial and tourism sectors for visualizing ML-driven predictive analytics.

Real-World Case Studies from Seychelles

Real organisations putting these methods into practice — what they did, what changed, and the measurable outcome. No hypothetical scenarios.

1
  • Smart Metering Pilot Project 2021
    Public Utilities Corporation (PUC)

    PUC initiated a rollout of smart electricity and water meters across Mahé, Praslin, and La Digue. The IoT-enabled meters allow for remote reading, real-time consumption monitoring, and automated billing integration.

    Reduced manual meter-reading errors, faster detection of water leaks, and empowered consumers to manage their energy consumption through wireless interface units.

Real Results from Real Professionals

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

SC Built for Seychelles

How this course applies where you work

Local laws, real case studies, and data-points that make the curriculum land — not generic global theory.

The Regulations and Standards You’re Accountable To

Regulators, laws, and frameworks governing this discipline in Seychelles — and exactly how the curriculum maps to each one.

4

Regulators

  • DICT Sets national ICT policy, manages digital government infrastructure, and oversees the national digital identity (SeyID).
  • SCRA Regulates telecommunications, radio frequency spectrum (essential for IoT devices), and electronic communications.
  • IC The statutory body responsible for enforcing the Data Protection Act 2023 and overseeing data privacy compliance.
  • SFA Regulates the use of electronic monitoring and IoT sensors within the fisheries and maritime sector.

Frameworks the course aligns with

  • 01 Data Protection Act · 2023
  • 02 Electronic Transactions Act · 2001
  • 03 Public Utilities Corporation Act · 1986

Business Results You Can Expect

How participants put this to work the week after training — and the measurable return their organisation can plan for.

How participants apply this

In Seychelles, participants apply ML and IoT primarily to the 'Blue Economy' and utility sectors. Professionals use IoT sensors to monitor marine water quality and fish stocks, while utility engineers implement smart grid technologies to reduce non-revenue water and electricity losses. In the tourism sector, ML algorithms are used to analyze visitor patterns and optimize hotel resource management, such as automated HVAC systems linked to occupancy sensors.

Expected ROI

Organizations can expect a 15–20% improvement in operational efficiency within 12 months through automated data collection and predictive maintenance. In the fisheries sector, IoT-driven monitoring reduces compliance costs and enhances the value of sustainable certifications. For utilities, the transition to smart metering typically results in a significant reduction in billing disputes and a faster response time to infrastructure failures.

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

The Act requires all IoT data controllers to obtain explicit consent for processing personal data and mandates an 18-month transition period (ending June 2025) for full compliance. Organizations must conduct Data Protection Impact Assessments (DPIAs) for high-risk IoT projects.

Yes, Seychelles is well-connected via the SEAS subsea cable, providing high international bandwidth. For local device connectivity, the DICT and local ISPs support 4G/LTE and increasingly LoRaWAN networks suitable for island-wide sensor deployments.

Yes, the SeyID platform managed by DICT is designed for integration, allowing businesses to use secure, verified digital identities for user authentication in smart applications and data portals.

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