Artificial Intelligence Internship – 10 Days, 15 Days, 30 Days or More Practical Training

Artificial Intelligence Internship

IntroductionĀ 

Artificial Intelligence (AI) is the technology that enables machines to think, learn, and make decisions like humans. It uses algorithms, data, and computational models to perform tasks such as understanding language, recognizing patterns, solving problems, and making predictions. AI is now a core part of industries like healthcare, finance, robotics, education, and business automation.

Who Can Join

  • Engineering & Technology Students
    • B.TECH & M.TECH students (all relevant branches)
    • Specializations: CSE, IT, ITM, ITC, AI, ML, DS
  • Graduates & Final-Year Students
    • Computer Science & IT graduates or final-year students
    • MCA, BCA, CA (Application), B.Sc., M.Sc. in CSE/IT
  • Others
    • Anyone looking to gain practical AI project experience

How AI Works at Prasartech

At Prasartech Projects and Solution, AI is not just a subject we teach — it’s a core part of how we develop innovative solutions in our projects. We integrate AI technologies into real-world applications that help students understand both the theory and practical aspects of the field.

Industry-Relevant Skills

Interns will explore core AI domains such as Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and AI-based automation. Through practical training with tools like Python, TensorFlow, and PyTorch, students gain the ability to design, train, and optimize AI models for industry-ready solutions.

Hands-On Project Work

    • Real-world datasets for problem-solving.
    • AI applications in Healthcare, Robotics, IoT, and Business Analytics.
    • Deployment of AI models in simulated environments.

Expert Mentorship

The internship includes guidance from experienced professionals who provide insights into AI workflows, model evaluation, and optimization techniques. Students also benefit from collaborative learning, peer interaction, and structured project reviews.

Outcome

    • Enhanced technical expertise in Artificial Intelligence.
    • Readiness for both academic research and professional AI roles.

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