Artificial Intelligence

Artificial Intelligence Training Programs

AI Nusantara offers the following AI training programs for Engineers

Prerequisite Required

Application Building And Designing With OpenAI (Part I)

Application Building with Generative AI & LangChain in Python (Part II)

AI on Object Detection & Localization Fundamentals (Part III)

Building Custom Enterprise Large Language Models (LLMs) For Generative AI

Machine Learning and Deep Learning Foundations and Applications

Data Analytics And Generative Ai With Low Code Platform Knime (Part I)

Data Science And Generative Ai With Low Code Platform Knime (Low Code, No Code Machine Learning Solutions) (Part II)

AI Nusantara offers the following AI training programs for Non-Engineers

No Prerequisite Required

Introduction of AI and GenAI Tools for Executive

LLM Implementation for Non-Technical

Data Analytics and Generative AI with Low Code Platform Knime (Part I)

Fundamentals Of AI And Data Science For Business

AI Management- Basic Theory of AI (Part I)

AI Management- Advanced Theory of Machine Learning, Deep learning and Computer Vision and AI Hands-on Implementation (Part II)

AI Management- Introduction to GenAI and LLM (Part III)

AI Management- Setup of AI Development Environment and Industrial Applications (Part IV)

Target Applicants For The Programs

AIN welcomes applicants who possess basic knowledge in digital electronics at either the diploma or degree level. Developers, programmers, and engineers who want to add an intelligent layer to their applications or find innovative solutions using machine learning to automate their work are encouraged to attend the course. The program is also open to any working professionals with an interest in learning to use Generative AI tools for work and basic knowledge of project management.

Admission Criteria

Time Commitment

The ability to commit to the full duration of the program, including attending all sessions and completing assignments. Our short courses range between 2-5 days, from 9 AM to 5 PM.

Capstone Projects

Willingness and ability to complete capstone projects, which are practical applications of the skills and knowledge gained during the program.

Equipment

Access to a reliable laptop or computer with internet connectivity to participate in online sessions and complete assignments.

CV and GPA Submission

A general test certificate is optional, but submitting one will be considered a plus during the evaluation process.

Statement of purpose

In a 500- to 1000-word essay, explain why you would like to pursue this program at AIN and include the following information:

Motivation: Your reasons for applying to the course.
Background: Your personal and academic background and how it makes you suitable for the program.
Experience: Details of your experience in completing a diverse range of projects related to artificial intelligence.
Achievements: Any stand-out achievements, such as awards or distinctions.
Goals: Your objectives as a prospective student.
Career Path: Your preferred career path and plans after graduation.
Additional Information: Any other details that will support your application.

Please send your essay along with your CV to [email protected].

Entry exam (If any)

Selected applicants will be invited to participate in an online entry exam that will include questions related to the topics listed below. Entry exam invitations with the exam details will be sent to the selected applicants' registered email addresses.

Admission Process

To register, please click here.

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