Pydah College Of Engineering
Kakinada | Andhra Pradesh | INDIA
An Autonomous Institution
CSE (Artificial Intelligence & Machine Learning)
Department of CSE (AI & ML)
Courses Offered:
Diploma:
Computer Engineering (AML) - 60 Seats
B.Tech:
CSE (Artificial Intelligence) - 120 Seats
CSE (Artificial Intelligence & Machine Learning) - 120 Seats
M.Tech:
CSE (Artificial Intelligence) - 30 Seats
CSE (Artificial Intelligence & Machine Learning) - 30 Seats
CSE (Artificial Intelligence & Data Science) - 30 Seats
Vision:
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Our goal is to produce highly qualified, morally-driven computer science and engineering professionals with innovative ideas and state-of-the-art knowledge that will allow them to surpass industry standards and society expectations worldwide.
Mission:
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Provide a world-class education in computer science and engineering, ensuring a strong foundation of knowledge and skills.
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Instill a strong sense of morality and ethical conduct, emphasizing the importance of integrity and responsible use of knowledge.
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Foster a culture of innovation and creativity, encouraging students to develop and implement groundbreaking ideas in their field.
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Teach problem-solving and teamwork, while emphasizing the importance of lifelong learning.
Career Prospectus: Shaping the Digital Future
The Bachelor of Technology (B.Tech) in Computer Science and Engineering with a specialization in Artificial Intelligence (AI) and Machine Learning 1 (ML) is a cutting-edge program designed to equip you with the knowledge and skills necessary to thrive in the rapidly evolving world of intelligent systems. This program blends core computer science principles with specialized training in AI and ML, preparing you for a future where technology and intelligence seamlessly intertwine
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Our rigorous curriculum covers a broad spectrum of topics, including:
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Core Computer Science: Programming, data structures, algorithms, operating systems, database management.
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Mathematics & Statistics: Linear algebra, calculus, probability, statistics, optimization.
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Artificial Intelligence: Machine learning, deep learning, natural language processing, computer vision, robotics, knowledge representation, expert systems.
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Machine Learning Techniques: Supervised learning, unsupervised learning, reinforcement learning, model evaluation, deployment.
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AI Tools & Technologies: Python, TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, Google Cloud, Azure).
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Domain-Specific AI Applications: Healthcare, finance, automotive, retail, e-commerce, and more.
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Ethical Considerations in AI: Fairness, bias, privacy, accountability.
Career Opportunities:
Graduates of our program are well-prepared for a variety of roles across diverse industries:
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Machine Learning Engineer: Design, develop, and deploy machine learning models for various applications.
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AI Scientist/Researcher: Conduct research and develop new AI algorithms and techniques.
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Data Scientist: Analyze large datasets and extract insights to drive business decisions.
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Deep Learning Engineer: Develop and implement deep learning models for complex tasks.
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Natural Language Processing (NLP) Engineer: Build systems that understand and process human language.
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Computer Vision Engineer: Develop algorithms for image and video analysis.
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Robotics Engineer: Design and develop intelligent robots and autonomous systems.
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AI Product Manager: Lead the development and launch of AI-powered products.
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AI Consultant: Provide expertise on AI solutions to businesses and organizations.
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Software Engineer (AI/ML focused): Develop software with added AI capabilities.
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Big Data Engineer: Develop and maintain systems that handle large volumes of data for AI.
