Sharda University

B.Tech in AIML at Sharda University

The world is experiencing a technological revolution, and artificial intelligence (AI) and machine learning (ML) are at the heart of it. At Sharda University, the B.Tech in AI and Machine Learning program is designed to equip students with the necessary skills and knowledge to shape the future of this rapidly evolving field. This four-year undergraduate course combines theoretical foundations with hands-on practical experience, ensuring that graduates are industry-ready and capable of contributing to the development of advanced AI and ML solutions.

Course Duration:

• 4 Years (8 Semesters)

B.Tech in AIML Fee Structure

Here’s a table for the annual fee structure:

Eligibility Criteria for B.Tech in AIML Program

The eligibility for the B.Tech in AI and Machine Learning program at Sharda University is as follows:

In addition to the above, a bridge course is available for students from a PCB (Physics, Chemistry, Biology) background who wish to opt for non-biotech branches. This ensures that students are adequately prepared for the core engineering subjects in the AI and ML field.

B.Tech in AIML Course Structure

The B.Tech in AI and Machine Learning is a comprehensive program that spans eight semesters. The curriculum covers the foundational subjects of computer science and engineering, followed by specialized subjects in AI, ML, data science, and more. The course integrates theory with practical lab work, making it well-rounded and job-oriented.

Year 1: Foundation and Core Engineering

In the first year, students will be introduced to fundamental engineering subjects such as Mathematics, Physics, Chemistry, and Programming. This will provide a solid foundation for advanced studies in later years.

Year 2: Core Computer Science and AI Foundations

The second year focuses on computer science fundamentals, including data structures, algorithms, and database systems. Students will also start learning the basics of AI, machine learning, and data analytics.

Year 3: Advanced Machine Learning and AI Specialization

In the third year, the focus shifts to more advanced topics in machine learning and artificial intelligence. Students will study machine learning algorithms, deep learning, natural language processing, and AI ethics. Practical sessions are included to allow students to apply what they learn in real-world scenarios.

Year 4: Industry Exposure and Advanced Topics

In the final year, students focus on their specialization within the AI and ML fields, with subjects that are at the cutting edge of technology. They will also work on industry-oriented projects, ensuring they are well-prepared for their future careers.

Career Opportunities after B.Tech in AIML

The demand for AI and Machine Learning professionals is growing exponentially. Upon completion of the B.Tech in AI and ML program, students will be equipped to take on roles in various sectors such as:

• AI Researcher
• Machine Learning Engineer
• Data Scientist
• Data Analyst
• AI Developer
• Robotics Engineer
• Business Intelligence Analyst
• Research Scientist in AI/ML

Top industries hiring AI and ML professionals include tech companies, healthcare, automotive, finance, robotics, and more.

The B.Tech in AI and Machine Learning at Sharda University is an excellent choice for students who wish to become pioneers in the field of artificial intelligence and machine learning. With its comprehensive curriculum, expert faculty, state-of-the-art facilities, and excellent placement opportunities, Sharda University provides a conducive environment for students to excel. The program not only provides students with technical expertise but also nurtures their creativity, problem-solving abilities, and research skills, preparing them for the challenges of the future.