Certificate in ML Techniques: Connected Systems

-- viewing now

The Certificate in ML Techniques: Connected Systems course is a professional credential that equips learners with essential skills in machine learning and connected systems. This program is critical for career advancement in today's data-driven world, where businesses increasingly rely on connected systems and machine learning algorithms to drive decision-making and innovation.

5.0
Based on 7,089 reviews

4,334+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

About this course

The course covers key topics such as data acquisition, processing, and analysis, as well as machine learning techniques, predictive modeling, and statistical analysis. Learners will gain hands-on experience working with real-world datasets and industry-standard tools and technologies, preparing them for success in a variety of roles, including data scientist, machine learning engineer, and connected systems architect. With a focus on practical application and industry demand, this course is an excellent choice for professionals seeking to enhance their skills and advance their careers in the exciting and rapidly growing field of machine learning and connected systems.

100% online

Learn from anywhere

Shareable certificate

Add to your LinkedIn profile

2 months to complete

at 2-3 hours a week

Start anytime

No waiting period

Course Details

• Unit 1: Introduction to Machine Learning Techniques
• Unit 2: Connected Systems and IoT Devices
• Unit 3: Data Acquisition and Preprocessing in Connected Systems
• Unit 4: Supervised Learning Algorithms in ML
• Unit 5: Unsupervised Learning Algorithms in ML
• Unit 6: Deep Learning Techniques for Connected Systems
• Unit 7: Model Training and Evaluation in ML
• Unit 8: Real-time Data Processing in Connected Systems
• Unit 9: Machine Learning Ethics and Security in Connected Systems
• Unit 10: Capstone Project: Implementing ML Techniques in Connected Systems

Career Path

Entry Requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

Why people choose us for their career

Loading reviews...

Frequently Asked Questions

What makes this course unique compared to others?

How long does it take to complete the course?

What support will I receive during the course?

Is the certificate recognized internationally?

What career opportunities will this course open up?

When can I start the course?

What is the course format and learning approach?

Course fee

MOST POPULAR
Fast Track: GBP £140
Complete in 1 month
Accelerated Learning Path
  • 3-4 hours per week
  • Early certificate delivery
  • Open enrollment - start anytime
Start Now
Standard Mode: GBP £90
Complete in 2 months
Flexible Learning Pace
  • 2-3 hours per week
  • Regular certificate delivery
  • Open enrollment - start anytime
Start Now
What's included in both plans:
  • Full course access
  • Digital certificate
  • Course materials
All-Inclusive Pricing • No hidden fees or additional costs

Get course information

We'll send you detailed course information

Pay as a company

Request an invoice for your company to pay for this course.

Pay by Invoice

Earn a career certificate

Sample Certificate Background
CERTIFICATE IN ML TECHNIQUES: CONNECTED SYSTEMS
is awarded to
Learner Name
who has completed a programme at
London College of Foreign Trade (LCFT)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
SSB Logo

4.8
New Enrollment