Career Course

Advanced Diploma in Software Engineering (ADSE) 

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782+

Instructional Hours

Why Choose This AI & ML Course?

Our comprehensive course curriculum covers everything from fundamentals to advanced techniques, preparing you for a successful career.

782

Instructional Hours

Comprehensive Modules

Lab Hours

Capstone Project

Module	Duration (Hours)	Theory	Lab	Self-Study
▶ Web Component Development using Jakarta EE	40	20	20	16

▶ Building Java Web Applications with Spring Framework	24	12	12	6

▶ Introduction to Dart Programming	16	8	8	8

▶ Application Development Using Flutter and Dart	40	20	20	16

▶ Agile and DevOps	24	24	-	8

▶ eProject-Cross Platform App Development	2	2	-	-

▶ Application Based Programming in Python	36	18	18	10

▶ Inferential Statistical Analysis	16	16	-	-

▶ AI Primer	16	16	-	16

▶ AI Applications of NLP	40	20	20	8

▶ AI and ML with Python	40	20	20	12

▶ Applied Machine Learning using Python	40	20	20	12

▶ Deep Learning using Neural Networks	60	30	30	12

▶ Capstone Project-Recommendation Engine and Customer Churn Prediction	40	2	38	-

Total Hours	434	228	206	124

Develop Web applications suited to any Jakarta EE application server using JSP and Servlet APIs
Understand and work with the Spring Framework and Spring Boot
Build cross platform apps using Flutter Framework and Dart language
Develop Web applications suited to any Jakarta EE application server using JSP and Servlet APIs
Implement software development process using Agile methodology
Develop a Cross Platform App using Dart and Flutter.
Understand the basics of statistical analysis, descriptive statistics, predictive analytics, probability, and Bayes theorem.

Gain an understanding of AI.
Gain knowledge in NLP and learn the use of AI in NLP.
Use important building blocks of AI & ML with Python, make data modelling decisions, interpret output of the algorithms, and validate results.
Master ML concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop AI algorithms.
Master deep learning concepts and TensorFlow open-source framework, implement deep learning algorithms, and build ANN.
Develop a real-world Capstone project on recommendation engine and perform customer churn prediction.