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    Scholarships & exams

    support@collegese.com
    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Artificial Intelligence

    Aditya University Kakinada
    Duration
    4 Years
    Artificial Intelligence UG OFFLINE

    Duration

    4 Years

    Artificial Intelligence

    Aditya University Kakinada
    Duration
    Apply

    Fees

    ₹12,00,000

    Placement

    92.0%

    Avg Package

    ₹8,00,000

    Highest Package

    ₹18,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Artificial Intelligence
    UG
    OFFLINE

    Fees

    ₹12,00,000

    Placement

    92.0%

    Avg Package

    ₹8,00,000

    Highest Package

    ₹18,00,000

    Seats

    150

    Students

    300

    ApplyCollege

    Seats

    150

    Students

    300

    Placements

    Placement Statistics

    The placement statistics for the B.Tech Artificial Intelligence program at Aditya University Kakinada reflect a strong demand for graduates in various sectors. Over the last five years, the program has consistently achieved high placement rates with competitive average and highest packages.

    YearHighest Package (INR)Average Package (INR)Median Package (INR)Placement Rate (%)PPOs Received
    2024180000080000075000092.0120
    2023165000078000073000091.0110
    2022150000075000070000089.0100
    2021140000072000068000087.090
    2020130000068000065000085.080

    Top Recruiting Companies

    The following companies have consistently recruited graduates from the B.Tech Artificial Intelligence program at Aditya University Kakinada:

    • Google
    • Microsoft
    • Amazon Web Services (AWS)
    • NVIDIA
    • Facebook AI Research (FAIR)
    • IBM Research
    • Intel AI Labs
    • Tesla AI Department
    • OpenAI
    • Swiggy
    • Zerodha
    • Flipkart
    • Microsoft Azure AI
    • Adobe
    • Uber

    These companies offer roles such as Software Engineer, Data Scientist, Machine Learning Engineer, AI Researcher, and Product Manager. The typical job profiles include:

    • Software Engineer (AI/ML): Develops and deploys machine learning models for scalable applications.
    • Data Scientist: Analyzes complex datasets to extract insights and build predictive models.
    • Machine Learning Engineer: Implements ML pipelines, optimizes models, and integrates them into production environments.
    • AI Researcher: Conducts research on cutting-edge AI technologies and publishes findings in top conferences.
    • Product Manager (AI): Leads product development initiatives involving AI features and integrations.

    Sector-wise Analysis

    The demand for AI graduates spans across multiple sectors:

    • IT/Software: Major players like Google, Microsoft, and Amazon are actively recruiting AI talent for roles in machine learning, NLP, and computer vision.
    • Core Engineering: Companies such as NVIDIA and Intel focus on hiring engineers with expertise in deep learning, neural networks, and edge computing.
    • Finance: Firms like Zerodha and Swiggy use AI for algorithmic trading, fraud detection, and recommendation systems.
    • Consulting: Top consulting firms like McKinsey and BCG are increasingly hiring AI specialists to advise clients on digital transformation strategies.
    • Analytics: Companies like Adobe and Uber leverage AI for user analytics, route optimization, and behavioral insights.
    • PSUs: Government agencies and public sector undertakings are investing in AI for smart city initiatives, healthcare diagnostics, and infrastructure planning.

    Internship Season

    The internship season at Aditya University Kakinada typically begins in the third year of the program. Internships provide students with practical experience and often lead to full-time offers upon graduation.

    Historically, internships have offered stipends ranging from INR 40,000 to 80,000 per month, depending on the company and role. Some top companies like Google and Microsoft offer stipends exceeding INR 1 lakh per month.

    The placement cell organizes multiple campus drives throughout the year, allowing students to interact directly with recruiters and showcase their skills through presentations and technical assessments.