infomatics institute of technology

Next Intake

August 2024


infomatics institute of technology


8 weeks

(Part Time)

Saturdays 9.00 am to 1.00 pm
infomatics institute of technology

Enroll Today and Engineer Intelligent Solutions!

Ready to unlock the potential of intelligent machines? Enroll now and let’s embark on a journey where you not only learn the intricacies of machine learning but also contribute to shaping the future of artificial intelligence

About IIT Professional Development Unit (PDU)

IIT Professional Training Unit is established to offer innovative learning solutions in the fields of Business and Information Technology to enable individuals and organizations to face tomorrow’s challenges with confidence.

Notice Board

Upcoming Programs

Java Programming, SEO, Power BI (Starting on May)


Next Intakes

Java Programming – May 25, 2024

Machine Learning – August 26, 2024

Web Development –  June 29, 2024

Cyber Security and Networking – July 27, 2024


Program Conclusion with the Award of Certification

Digital Graphic Designing

May, 2024



Course Details

Opting for a career as a machine learning engineer ensures a stable and promising future. Recently identified as the second most in-demand AI job, the pandemic has heightened the significance of artificial intelligence and machine learning fields. Choosing a machine learning profession offers a lucrative and enduring career, given the increasing prevalence of AI in industries like healthcare, education, marketing, retail and e-commerce, and financial services.
  1. Python recap procedural and OOP.
  2. Introduction to Machine Learning Ideas of regression, classification, clusterin.
  3. Neural Networks and Deep NN.
  4. Regression linear and logistic.
  5. Discussion on SK learn and Keras for ML Including model training and evaluation
  6. KNN, DT, SVM, Ensemble Systems.
  7. Clusterning.
  8. K-mean.
  9. Neural Networks.
  10. Machine Learning in the Cloud (MLaaS).
  11. ML OPS.
  12. Research Opportunities.


1. Understanding and ability to apply the fundamental programming elements on Python and its OOP concepts.

2. Understanding the types of machine learning algorithms in high level.

3. In-depth understanding of concepts and ability to apply supervised and unsupervised machine learning techniques including Regression, Classification and Clustering for real-life

4. In-depth understanding of concepts and ability to apply Neural Network related machine learning techniques like CNN, RNN and LSTM for real-life problems.

5. Ability to design, develop and deploy machine learning workflows in cloud based environments like AWS, Azure, GCP.

6. Understanding of scientific research opportunities in the area of machine learning.

Those interested in learning ML and working in research and development in data-driven firms, as well as Research Students

Knowledge in Python, Coding

Option 1: Lab Demonstrations Face to Face
Option 2: Online/Distance classes through a digital learning platform

For further details, please contact
IIT Professional Development Unit
0770 566 577 |


Why Us

  • On-Campus Learning
  • Industry-Leading Trainers
  • Colombo Located Classrooms
  • Continuous new intakes to meet industry demand
  • Registrations are limited to 20 students to provide better student-trainer interaction

Other Degree Programs

IIT Professional Development Unit (PDU)
For further details, please contact

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