AI Engineering Training and Internship Program

AI Engineering Training and Internship Program

Asad Hameed

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Topics we cover!
1 Key Responsibilities
2 Qualifications & Skills
3 Why Join This Program?
4 How to Apply

Are you passionate about artificial intelligence (AI) and eager to gain hands-on experience in building advanced AI systems? Refonte Learning’s AI Engineering Training and Internship Program is designed for students, recent graduates, or professionals who want to build cutting-edge AI models and solve real-world problems. This program combines theoretical learning with practical application, using industry-standard tools and frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You’ll get the opportunity to work on real-world AI projects during your internship while developing essential skills for a successful AI career.

Key Responsibilities

  • AI Model Development: Learn to design, develop, and deploy AI models, including machine learning, deep learning, and reinforcement learning.
  • AI Algorithms: Gain an in-depth understanding of AI algorithms such as supervised and unsupervised learning, neural networks, and decision trees.
  • AI Frameworks: Work with industry-standard tools and frameworks such as TensorFlow, PyTorch, Keras, and Scikit-Learn.
  • Model Optimization: Learn to optimize AI models using techniques like hyperparameter tuning and regularization for performance improvement.
  • System Integration: Gain practical experience integrating AI models into real-world applications like mobile, web, and cloud-based solutions.
  • Internship Project Work: Collaborate with professionals to develop AI-powered solutions and optimize performance through live internship work.

Qualifications & Skills

  • Target Audience: Open to students, recent graduates, and professionals with a strong interest in AI engineering, machine learning, and data science.
  • Educational Background: Ideal candidates should have a background in computer science, software engineering, mathematics, or data science.
  • Technical Skills:
    • Strong understanding of machine learning and deep learning algorithms.
    • Familiarity with AI engineering tools like TensorFlow, PyTorch, Keras, and Scikit-Learn.
    • Knowledge of cloud-based AI development using platforms such as AWS, Google Cloud, and Azure.
    • Experience working with large datasets, data preprocessing, and feature engineering.
    • Basic understanding of DevOps practices such as CI/CD for AI model deployment.

Why Join This Program?

  • Hands-On Learning: Gain practical experience by working on live AI engineering projects.
  • Industry-Relevant Skills: Master cutting-edge techniques in AI, deep learning, and AI systems integration.
  • Career Growth: This internship will set the foundation for a rewarding career in AI Engineering, Data Science, Machine Learning, or AI Solutions Architecture.
  • Mentorship: Benefit from guidance and mentorship by experienced AI professionals to enhance your technical skills and career development.
  • Network & Exposure: Gain exposure to a global network of AI professionals, developers, and innovators.

How to Apply

Interested candidates should submit their CV to the email address provided in the image or apply directly on Refonte Learning’s website. Be sure to include:

  • Your education background.
  • Any relevant work experience or projects.
  • Technical skills related to AI, machine learning, or data science.
Asad Hameed
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