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AI Nexus Accelerator – NCAI

AI Nexus Accelerator - Traning & Internship

Journey into Responsible AI— From Hardware Fundamentals to Groundbreaking Research and Real-World Deployment with NCAI Apprenticeship

Program Overview

Avail the opportunity to transform your future with the AI Nexus Accelerator Program, a one-month journey designed for FSC and A-Level students. This program immerses you in the world of AI, offering hands-on exposure to real R&D, hardware fundamentals, and practical applications that drive today’s technology. Discover what it takes to excel in tech, explore job and startup opportunities, and master the essential tools of modern AI.

Throughout the program, you’ll gain practical experience in hardware integration, AI use cases, and responsible research and deployment. Our curriculum is designed to build your expertise and deepen your understanding of industry practices. To cap off your journey, you’ll earn a prestigious NCAI Internship Certificate that elevates your portfolio for scholarships and admissions while opening the door to limitless opportunities in technology

Why take AI Nexus Accelerator ?

AI Nexus Accelerator Technical Tracks

Problem Solving-01

Week 1

Foundations of AI, Programming, and Robotics

Day 1-2

Electrical and Electronic Circuits

Gain a foundational understanding of electrical circuits, components, and their role in modern technology, including robotics and IoT

Day 3-4

Programming Basics

Learn the fundamentals of programming and its applications in AI and robotics

Day 5

Introduction to Machine Learning (ML)

Genetic Algorithms

Machine Learning-01

Week 2

Advanced AI, Robotics, and Data Visualization

Day 6-7

Robotics and Automation

Explore robotics and its integration with AI.

Day 8

Data Visualization and Analysis

Learn how to visualize and interpret data, and critical skills in AI and ML

Day 9

Advanced AI Concepts

Dive deeper into advanced AI applications

Day 10

Conducting Research in AI

Introduce students to the fundamentals of AI research and the scientific process.

Deep Learning-01

Week 3

Project Planning and Development

Day 11

Project Kickoff

Day 12-13

Convolutional Neural Networks

Day 14-16

Project Development

Natural Language Processing-01

Week 4

Project Completion and Internship

Day 17-19

Finalizing the Project

Day 20

Final Presentations and Closing Ceremony