AI & Machine Learning

Launch Your Career in Artificial Intelligence

PARTNER WITH US

Program Overview

AI & Machine Learning Sector

Artificial Intelligence and Machine Learning represent the frontier of technological innovation, transforming industries from healthcare to finance, manufacturing to entertainment. This rapidly evolving field combines computer science, mathematics, and domain expertise to create systems that learn from data and make intelligent decisions.
The global AI market is projected to reach $1.8 trillion by 2030, with demand for skilled professionals far outpacing supply. Our internship program bridges this gap by providing hands-on experience with cutting-edge technologies and real-world applications.

Internship Program

Our comprehensive 12-16 week internship program offers immersive experience in AI and Machine Learning development. Participants work alongside industry experts on meaningful projects, gaining practical skills that translate directly to career success.
The program emphasizes both theoretical foundations and practical applications, ensuring interns develop a well-rounded understanding of AI/ML concepts, tools, and best practices.


Program Modules

Module 1: Foundations (Weeks 1-3)

• Python programming and data structures;
• Linear algebra and statistics fundamentals;
• Introduction to machine learning concepts;
• Data preprocessing and visualization.

Module 2: Core ML Techniques (Weeks 4-7)

• Supervised learning algorithms (regression, classification);
• Unsupervised learning (clustering, dimensionality reduction);
• Model evaluation and validation techniques;
• Feature engineering and selection.

Module 3: Deep Learning (Weeks 8-11)

• Neural networks and backpropagation;
• Convolutional Neural Networks (CNNs);
• Recurrent Neural Networks (RNNs) and LSTMs;
• Transfer learning and model optimization.

Module 4: Applied Projects (Weeks 12-16)

• Natural Language Processing applications;
• Computer Vision projects;
• Deployment and MLOps fundamentals;
• Capstone project presentation.

Benefits & Outcomes

🎯 Hands-on Experience

Work on real-world projects with actual business impact, building a portfolio of meaningful work.

👥 Expert Mentorship

Receive guidance from experienced AI/ML professionals and industry leaders.

🌐 Global Network

Connect with professionals across Vietnam, Asia-Pacific, and international business hubs.

📜 Professional Certification

Earn recognized credentials that validate your AI/ML expertise to employers worldwide.

💼 Career Placement Support

Access to exclusive job opportunities and potential full-time positions with partner companies.

💰 Competitive Stipend

Receive financial support during your internship period to focus on learning and growth.

Types of Internships

Research Internship

Focus on exploring novel AI/ML algorithms and techniques, contributing to academic papers and research publications.

Duration: 16 weeks
Location: Research labs and universities

Product Development Internship

Build AI-powered products and features for commercial applications, working with cross-functional teams.

Duration: 12-16 weeks
Location: Tech companies and startups.

Data Science Internship

Analyze large datasets to extract insights and build predictive models for business decision-making.

Duration: 12 weeks
Location: Corporations and analytics firms.

MLOps Internship

Focus on deploying, monitoring, and maintaining machine learning models in production environments.

Duration: 12-14 weeks
Location: Cloud platforms and DevOps teams. .


Career Opportunities

Vietnam
  • VinAI Research
  • FPT Software AI Center
  • VNG Corporation
  • Tiki
  • Grab Vietnam
  • Zalo AI
  • MoMo
Asia-Pacific
  • Shopee
  • Sea Group
  • ByteDance
  • Alibaba Cloud
  • Tencent
  • NUS-ISS
  • ASTAR Singapore
Global Business Hubs
  • Google AI
  • Microsoft Research
  • Amazon Web Services
  • Meta AI
  • OpenAI
  • Apple ML
  • NVIDIA
  • IBM Research

Typical Career Paths
  • Machine Learning Engineer: Design and implement ML models and systems;
  • AI Research Scientist: Conduct cutting-edge research in AI/ML;
  • Data Scientist: Extract insights and build predictive models from data;
  • Computer Vision Engineer: Develop image and video analysis systems;
  • NLP Engineer: Build language understanding and generation systems;
  • MLOps Engineer: Deploy and maintain ML systems in production;
  • AI Product Manager: Lead development of AI-powered products .


Apply for AI & Machine Learning

Full Name
Email Address
Phone Number
Address
Introduction Video URL (Upload a 2-3 minute video introducing yourself (YouTube, Vimeo, or similar)
Educational Background
University/Institution
Program Name/Major
Years Attended
GPA
Honors & Academic Achievements
Previous Work or Internship Experience
Skills Assessment
Communication Skills
Analytical Skills
Problem-Solving Skills 
Software & Technical Skills
AI/ML-Specific Experience & Knowledge
Reference
URL
LinkedIn Profile URL
URL Link to your CV
Introduction Video URL
Note: Please prepare the following documents to upload after submission: Academic transcripts, relevant certificates, and any portfolio materials showcasing your AI/ML projects. You will receive an email with upload instructions after submitting this form.
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