Considering the rapid evolution of AI and ML, how does Ellenki specifically guide students in identifying niche specializations or emerging roles within the field, beyond the broad 'AI Engineer' or 'ML Specialist' titles, to enhance their employability upon graduation?
Hello Teja,
Ellenki employs a formal framework to help students discover niche specializations and new role types in a rapidly changing AI and ML environment. Rather than funnel students into a series of broad roles, the institution offers domain-specific modular offerings in Natural Language Processing, Computer Vision, Edge AI, and Responsible AI, to name a few.
Through workshops facilitated by subject-matter experts, industry-oriented capstone projects, and a commitment to ongoing mentorship, students learn about niche careers such as Model Deployment Engineer, Prompt Engineer, AI Product Analyst, and AI Ethics Researcher. Real-world engagement, combined with customizing career guidance and internship opportunities, ensures students graduate with the technical competencies and market awareness necessary to pursue roles in emerging disciplines beyond traditional AI job titles.
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