Machine Learning Applications in Marketing Training Course

Machine Learning Applications in Marketing Training Course

Gain the skills you need to advance your career. This course offers hands-on learning, expert guidance, and real-world applications designed to help you grow.
Intermediate | TBA | TBA | Certificate
(4.5)
01

Course Overview

Course Summary
Course Title Machine Learning Applications in Marketing Training Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi
Target Industries
Target Job Roles
Course Fees (Face-to-Face) TBA
Course Fees (Virtual) TBA
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Overview:
This course introduces marketers to machine learning (ML) applications for improving targeting, automating processes, and forecasting customer behavior. Participants will gain hands-on experience with ML models that can enhance marketing decision-making.

Duration: 5 Days

Target Audience:

  • Marketing analysts
  • Digital campaign managers
  • CRM specialists
  • Product marketers

Organizational Impact:

  • Enhanced predictive marketing strategies
  • Increased customer retention through ML insights
  • Optimized resource allocation for campaigns
  • Data-driven decision-making culture

Personal Impact:

  • Practical ML skills applicable in marketing
  • Improved analytical and problem-solving skills
  • Competitive advantage in career growth
  • Ability to integrate ML into marketing strategies

Course Objectives:

  • Understand ML principles for marketing
  • Apply ML to customer insights and segmentation
  • Develop predictive marketing models
  • Optimize campaigns using ML insights
  • Evaluate the impact of ML strategies
02

Course Modules

Course Modules:

Module 1: Introduction to Machine Learning in Marketing

  • Overview of ML concepts
  • Importance of ML in digital marketing
  • Key ML tools for marketers
  • Case Study: ML for predictive customer targeting

Module 2: Customer Segmentation with ML

  • Clustering techniques
  • Customer lifetime value prediction
  • Behavior-based segmentation
  • Case Study: ML-driven segmentation for retail campaigns

Module 3: Predictive Analytics in Marketing

  • Forecasting customer behavior
  • Campaign response prediction
  • Sales trend analysis
  • Case Study: Predictive modeling for email campaigns

Module 4: Marketing Automation with ML

  • Dynamic content personalization
  • AI-assisted ad targeting
  • Automation of repetitive marketing tasks
  • Case Study: ML-powered ad optimization

Module 5: Evaluating ML Models for Marketing

  • Model selection and performance metrics
  • A/B testing with ML outputs
  • Practical deployment of ML models
  • Case Study: Assessing ML effectiveness in a digital campaign
03

Course Administration

Methodology

This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.

Accreditation

Participants will receive a Tech For Development Certificate of Course Completion.

Training Venue

Held at the Tech For Development Training Centre.

Accommodation & Airport Transfer

Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179

Tailor-Made

Customised training available.

Payment

Send proof of payment to letstalk@techfordevelopment.com.

Date & Location Cost