Overview Vision & Mission PEO-PO-PSO HOD’s Message Faculty Achievements Student Achievements Student Club Labs Department Advisory Committee(DAC) ACTIVITIES

The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. The students shall explore the practical components of developing AI apps and platforms. A proficiency in mathematics will prove to be beneficial as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning. The students shall be industry ready after practicing these AI/ML based algorithms, techniques and tools and their applications to varies industries This degree will give expertise in problem solving, analytical skills along with the ability to design intelligent solutions for various business problems.

What are the future of students from B.tech (CSE-AIML) branch?

Students graduating with a B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning (CSE-AIML) have a promising future with various career opportunities. Some potential career paths include:

• AI/ML Engineer: Developing and implementing machine learning algorithms and AI systems for various applications such as healthcare, finance, e-commerce, and more.
• Data Scientist: Analyzing large datasets, deriving insights, and building predictive models to solve complex business problems.
• Software Developer: Creating software applications and systems that incorporate AI and machine learning capabilities.
• Research Scientist: Conducting research in AI and ML, pushing the boundaries of technology, and contributing to advancements in the field.
• AI Consultant: Providing expertise and guidance to organizations on how to leverage AI and ML technologies to improve their operations and products.
• Robotics Engineer: Designing and developing robots and autonomous systems that utilize AI and ML algorithms for perception, decision-making, and control.
• Natural Language Processing (NLP) Engineer: Working on projects related to language translation, sentiment analysis, chatbots, and voice recognition systems.
• Machine Learning Operations (MLOps) Engineer: Managing the deployment, monitoring, and optimization of machine learning models in production environments.
• AI Ethics Specialist: Addressing ethical considerations and biases in AI algorithms, ensuring fairness, transparency, and accountability in AI systems.
• Entrepreneur: Starting their own AI-driven startups to solve specific problems or create innovative products and services.

Overall, with the growing demand for AI and ML expertise across industries, graduates with a specialization in CSE-AIML can look forward to exciting and rewarding career opportunities with ample room for growth and innovation.

What should you expect from a degree in Artificial intelligence & machine learning at GNIOT?

Expectations from a degree in Artificial Intelligence & Machine Learning at GNIOT might include comprehensive coursework in foundational concepts such as machine learning algorithms, neural networks, natural language processing, and computer vision. You can anticipate hands-on experience with programming languages like Python, as well as practical applications through projects and internships. Additionally, you may have opportunities for research collaboration, industry partnerships, and career support services to prepare you for roles in AI and ML fields.