The B.Tech in Artificial Intelligence and Machine Learning (AI & ML) at HRIT University offers an advanced undergraduate program tailored to equip students with cutting-edge knowledge in artificial intelligence and machine learning technologies. This specialization is designed to enable students to develop intelligent systems, innovative software applications, and smart solutions that leverage the power of AI, Deep Learning, and Data Analytics.
With a curriculum that integrates theoretical concepts and practical skills, this program teaches students how to program machines to analyze data, make predictions, and solve complex real-world problems autonomously. Students will gain a deep understanding of AI methodologies such as neural networks, natural language processing, and robotics. The course also covers AI applications in various industries, including finance, healthcare, robotics, and bioinformatics, allowing students to engage in forward-thinking technological innovation.
This course is for individuals who have a passion for exploring the future of intelligent technologies. If you’re intrigued by how AI can simulate human thought, recognize patterns, and autonomously solve problems, this program is for you. It’s an ideal fit for deep thinkers with an interest in fields such as robotics, natural language processing, and data science.
Students who are looking for an exciting career in AI and ML will find numerous opportunities across industries such as technology, finance, healthcare, and automation. The program offers not just job security and financial stability, but also continuous learning prospects in one of the most futuristic fields of technology. If you aspire to lead the next technological revolution, this course is your gateway to an exciting career in AI and machine learning.
Graphics & Image Processing Lab
Programme Educational Objectives
- PEO-1: Graduates will establish themselves as AI and ML experts, using their analytical and exploratory skills to solve real-world problems in various sectors.
- PEO-2: Graduates will develop sustainable, innovative solutions to interdisciplinary problems through cutting-edge research in AI and machine learning.
- PEO-3: Through strong Industry-Academia partnerships, graduates will become employable in high-demand AI and ML roles, or emerge as successful entrepreneurs.
- PEO-4: Graduates will uphold professional ethics while providing AI-driven solutions to societal and industrial challenges, demonstrating leadership in diverse professional environments.
Programme Outcomes (POs)
- PO1: Engineering knowledge – Apply core concepts of mathematics, computer science, AI, and ML to tackle complex engineering challenges.
- PO2: Problem analysis – Identify, research, and analyze challenging AI-related problems using data science methodologies and AI principles.
- PO3: Design/development of solutions – Create innovative AI systems and design algorithms to address societal, industrial, and environmental needs.
- PO4: Conduct investigations – Utilize research-based methods, data interpretation, and experimental design to solve complex AI and ML problems.
- PO5: Modern tool usage – Master the use of modern AI tools, frameworks, and programming languages to develop predictive models and intelligent systems.
- PO6: The engineer and society – Address societal, ethical, and safety concerns when implementing AI technologies across various fields.
- PO7: Environment and sustainability – Apply AI to create solutions that are environmentally sustainable and beneficial to society at large.
- PO8: Ethics – Commit to ethical practices in AI development, ensuring fairness, accountability, and transparency in AI applications.
- PO9: Individual and teamwork – Function efficiently as an individual contributor or as part of a team in developing AI-based systems.
- PO10: Communication – Effectively convey AI concepts, reports, and project details to both technical and non-technical stakeholders.
- PO11: Project management and finance – Use AI project management skills to deliver innovative solutions on time and within budget.
- PO12: Life-long learning – Adapt to the continuous advancements in AI, staying updated with the latest trends and innovations in the field.
Programme Specific Outcomes (PSOs)
- PSO1: Develop and apply programming techniques to solve AI and ML-related problems in diverse fields, contributing to innovative research.
- PSO2: Design and implement AI systems related to deep learning, natural language processing, computer vision, big data analytics, and cybersecurity.
- PSO3: Utilize software engineering best practices to develop scalable AI-driven applications that meet the needs of modern industries.
Graduates of a B.Tech in CSE have a wide array of career options, such as:
- Software Developer/Engineer
- Data Scientist/Analyst
- Systems Analyst
- Cybersecurity Expert
- Web Developer
- Database Administrator
- Cloud Computing Engineer
- AI/Machine Learning Engineer
- Mobile App Developer
- Network Engineer
