INTRODUCTION

In the recent past, there has been a paradigm shift from use of traditional technologies in provision of goods and services to use of digital platforms to market and deliver goods and services. To ensure that organizations remain in operations and avoid the risk of being redundant as a result of disruption arising from digital innovations and new technologies, the course on digital transformation is important. As part of embracing technologies, organizations are also appreciating Artificial Intelligence (AI) and digital marketing. Artificial Intelligence is defined as the application of advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decisions, and take actions. This 5 days course will equip the participants with knowledge that is likely to ensure they deliver their goods and services efficiently in terms of offering relevant products and services, availability when needed, real time, satisfy customers, at lower costs and under lower risks.

LEARNING OBJECTIVES

By the end of the training, the participants should be able to;

• Have knowledge and skills in  content development including Visual literacy,   Participatory photography among others
• Learn how to do digital marketing
• Understand how to integrate technology into the overall marketing.
• Have a sound understanding of the general principles of digital advertising.
• Be conversant with relevant technologies, devices and opportunities for digital communications campaigns
• Learn how to perform tracking and customer insights

Who should attend?

• Marketers
• Marketing managers
• NGO staff,
• Researchers in various sectors e,g agricultural sector, Monitoring and Evaluation etc
• Individuals who want to gain understanding of digital marketing

TOPICS TO BE COVERED

Module 1:

Introduction to digital transformation, artificial intelligence and digital marketing

• Introduction to digital transformation
• Benefits of digital transformation
• Introduction to Artificial intelligence
• Application of artificial intelligence
• Benefits of Artificial Intelligence
• Definition of digital marketing
• Importance of digital marketing

Module 2:

Content development

How to develop photovoice

• Photography:

à Photography techniques and processing with software such as Photoshop

               à  Rules of photography

• Shooting a video
• Preparing a video to market content in different platforms

Module 3:

Digital marketing

• Introduction to Digital Marketing.
• Assessing the Channels & Technologies.
• Demographics of Your Customer.
• The Digital Marketing Toolbox.
• Internet Campaign and Media Strategy.

Module 4:

Practical exercises

• Creative Strategy: Case Studies.
• Designing for the User Experience.
• Campaign Brief.

Module 5:

Artificial Intelligence Process

• A step-by-step guide to the digitization process
• Analyzing data to inform decision making
• Data handling and building models such as regressions for analysis
• Practical activities

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TRAINING CUSTOMIZATION

This training can also be customized for your institution upon request. You can also have it delivered your preferred location. For further inquiries, please contact us through Mobile: +254 732 776 700 or +254 759 285 295. You can also email us on: training@fineresultsresearch.org

REQUIREMENTS

Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.

TRAINING FEE

The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700/+254 759 285 295 or Email: training@fineresultsresearch.org

PAYMENT

Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.