After completing an AI Training Program, recruiters typically look for applied project experience, clear understanding of real-world problem solving, and the ability to explain model decisions. From my experience working with learners trained at H2K Infosys, hands-on skills often matter more than just certificates.
What stands out in hiring reviews:
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End-to-end projects (data collection, preprocessing, model building, deployment)
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Practical use of tools like Python, TensorFlow, PyTorch, or cloud platforms
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Understanding of model evaluation, bias, and performance trade-offs
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Basic MLOps knowledge such as version control, CI/CD, and monitoring
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Relevant certifications or portfolio links that show consistent learning
Strong communication and the ability to translate AI results into business impact often make the final difference.