infomatics institute of technology

Next Intake

March 2024

Intakes

Mar/Aug
infomatics institute of technology

Duration

2 ½ Months

(Part Time)

Saturdays 1.00 pm to 5.00 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

Introduction to Artificial Intelligence (Starting soon)

Next Intakes

Java Programming – February 24, 2024

Machine Learning – March 02, 2024

Web Development –  March 16, 2024

Cyber Security and Networking – March 23, 2024

 

Program Conclusion with the Award of Certification

Digital Graphic Designing

February 24, 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.

1.0 Python recap
1.1 procedural and OOP
2.0 Introduction to Machine Learning (Pasan)
2.1 Ideas of regression, classification, clustering, Neural Networks and Deep NN
3.0/4.0 Regression
linear and logistic
Discussion on SK learn and Keras for ML Including model training and evaluation
5.0/6.0 Classification
KNN, DT, SVM, Ensemble Systems
7.0 Clustering
5.1 K-means

8.0 Neural Networks
9.0 Machine Learning in the Cloud (MLaaS)
10.1ML OPS
10.2 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
problems.
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 | pdu@iit.ac.lk

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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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