Machine Learning for Managerial Decision Making using TensorFlow Course


The process of decision making has always presented a challenge to many organizations worldwide especially with the need to balance scarce resources. The recently introduced concept of machine learning can be an effective way to help with decision making to improve organizational productivity. The course therefore will introduce learners on using ML techniques in TensorFlow to improve the decision-making process.


5 days

Course Objectives

By the end of this training, participants will be able to:

  • Learn how machine learning can be a tool for effective management

  • Build models for decision making in challenging business environment

  • Improve management of manpower using ML techniques

  • Utilize available resources in the best way possible using ML

  • Improve Supervised vs Unsupervised Machine Learning

  • Decision making using ML algorithms

Course Outline

Module 1

  • What is TensorFlow?

  • TensorFlow code-basics

  • Graph Visualization

  • Constants, Placeholders, Variables

  • Tensorflow Basic Operations

Module 2 - Introduction to Machine Learning

  • Applications of Machine Learning

  • Supervised vs Unsupervised Learning

  • Python libraries suitable for Machine Learning

  • Linear Regression with TensorFlow

  • Logistic Regression with Tensor Flow

Module 3 – Neural Networks using TensorFlow

  • Quick recap of Neural Networks

  • Activation Functions, hidden layers, hidden units

  • Illustrate & Training a Perceptron

  • Important Parameters of Perceptron

  • Understand limitations of A Single Layer Perceptron

  • Illustrate Multi-Layer Perceptron

  • Back-propagation – Learning Algorithm

  • Understand Back-propagation – Using Neural Network Example

  • TensorBoard

Module 4 – Classification in Tensorflow

  • K-Nearest Neighbour

  • Decision Trees

  • Logistic Regression

  • Support Vector Machines

  • Model Evaluation

Module 5 - Unsupervised Learning

  • K-Means Clustering

  • Hierarchical Clustering

  • Density-Based Clustering

Enroll for this Course

We are proud to offer this course in a variety of training formats to suit your needs.


Enroll for a Face-to-Face (In-Person) Class

We use the highest quality learning facilities to make sure your experience is as comfortable as possible.

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Enroll for a Virtual (Zoom) Class

Join a scheduled class with a live instructor and other delegates.

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Enroll for an Online Self-Paced Class

Keep track of your own progression throughout your course and ensure continuous improvement.

Register Here

Benefits of Taking a Course at IRES


Our courses are carefully curated to keep you abreast of latest industry trends, technological advancements, and best practices. We employ a variety of teaching methodologies, including hands-on workshops, case studies, and interactive sessions, all aimed at fostering an engaging and effective learning environment. Our expert instructors bring a wealth of knowledge and real-world experience, providing our clients with insights that can be immediately applied in their professional lives.


Our courses serve as a vibrant platform for professionals to connect and engage with a diverse community of peers, industry leaders, and experts. By participating in our programs, you gain access to an invaluable network that spans across various sectors and geographical boundaries. This networking aspect is not just about forming professional relationships; it's about creating a supportive ecosystem where ideas, opportunities, and collaborations can flourish.


Our courses are designed to challenge and inspire professionals to step out of their comfort zones and explore new horizons. Through a combination of theoretical knowledge and practical application, our programs help professionals refine their existing skills and acquire new ones, making them more versatile and competitive.

FAQs & Course Administration Details:

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on Phone: +254 715 077 817 or Email: [email protected].
The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
Payment should be transferred to IRES account through bank on or before start of the course. Send proof of payment to [email protected].
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer. Email: [email protected] Phone: +254 715 077 817.

Who else has taken this course?

# Job Title Organisation Country
1 SENIOR SUPERVISION OFFICER Retirement Benefits Authority Kenya
2 NONE Kenya