4 Years
course - Approved by
AICTE
A Bachelor of Technology (B.Tech) course in Artificial Intelligence (AI) and Machine Learning (ML) in SAITM is designed to provide students with a solid foundation in these cutting-edge technologies. The program typically spans four years and combines theoretical knowledge with practical skills.
The SAITM curriculum covers core subjects such as mathematics, programming, and data structures, which are essential for understanding AI and ML concepts. Students delve into specialized courses like neural networks, natural language processing, computer vision, and deep learning. These courses teach students how to design, develop, and implement AI and ML models.
Practical experience is a crucial component of the B.Tech program. Students often engage in lab sessions, projects, internships, and industry collaborations to apply their knowledge to real-world problems. This hands-on approach helps students develop problem-solving skills and gain experience with AI and ML tools and technologies.
In addition to technical subjects, the program may include courses on ethics, data privacy, and the societal impact of AI and ML. These courses ensure that graduates are aware of the broader implications of their work and are prepared to address ethical challenges.
B.Tech course in AI and ML are equipped with the skills needed for careers in various sectors, including technology, finance, healthcare, and automotive industries. They can pursue roles such as AI engineer, data scientist, machine learning engineer, and research scientist. The program also provides a strong foundation for those interested in further studies or research in AI and ML.
Eligibility Criteria for AI and ML Program
The "Admission Eligibility" for the computer science engineering courses at SAITM is as follows:
- Minimum 45% in Physics, Chemistry & Maths in 12th Standard. If you are a candidate falling under one of the reserved categories, the minimum marks required for seeking admission to a computer science and engineering course is 40%.
- Students with Mathematics, Chemistry, Physics, Biology/Computers as the core subjects in class 12 from a recognized board can get a seat at the institute.
- An impressive & valid score in JEE Main.
Goals of AI and ML Department at SAITM
- To educate AI and ML students about different aspects of machine learning algorithms and some technologies based on problem-solving and processing models.
- To help students understand and design the data models and programs in various programming languages.
- To escort them become skilled data science professionals who can respond to the evolving industry in a social and global context by applying learned engineering fundamentals to tackle real-world problems.
- To enable the graduates of the AI and ML program to be effective team workers, understand the principles of group dynamics, public policy, aesthetics, and develop cost-effective solutions for the businesses.
- To facilitate AI and ML students to gain hands-on experience in the latest tools, technologies, and programming languages.
- To enable students to apply basic principles and practices of AI and ML grounded in mathematics and science for meeting the objectives of businesses.
Takeaways of AI and ML Program
- Data Science Knowledge: Apply fundamentals of mathematics, computer programming, computer science, and many processing tools to solve complicated data science problems.
- Design/Development of Solutions: Provide effective solutions to machine learning problems by using complex algorithms which can further be used in highly stable multinational companies that add to the wellbeing of society.
- Data Cleansing Using ML: This course will add data cleansing techniques to graduates knowledge so that advancement of model creation takes place.
- Social Responsibilities: Implement learned skills to assess societal, healthcare, safety, legal and cultural issues and look for the appropriate measures to deal with the same.
- Environment and Sustainability: Understanding the significance of engineering in creating an eco-friendly environment and taking part in sustainable development for the betterment of society.
- Ethics & Values: Computer Science Engineering students are taught to hold high values as professionals and stay loyal to the profession while stepping into different managerial roles.
- Individual and Teamwork: Able to work effectively as an individual and in a team as well.
- Effective Communication: AI and ML course at SAITM focuses on enhancing students’ communication skills, ability to comprehend and write effective reports, and design documentation for businesses and organizations.
- Life-Long Learning: AI and ML graduates are trained to develop an ability to engage in independent and life-long learning in the broadest context of technological changes.
Why Choose SAITM For Computer Science Engineering Course?
- Best-in-class & top-notch education quality
- Exemplary placements
- Maximum industry exposure
- Great focus on practical knowledge and hands-on experience
- Technologically-advanced "Teaching Methods"
- Industry experienced teaching faculty
Educational Objectives
The program aims to develop proficient engineers who can:
- Design and implement AI-driven solutions effectively.
- Adapt to rapidly changing technologies with a robust understanding of fundamental and advanced AI concepts.
- Contribute ethically to the field of AI and ML, with a strong awareness of the societal impacts of their work.
Course Structure
The curriculum typically spans four years, divided into eight semesters. It covers a range of subjects, from basic engineering mathematics to advanced AI and ML techniques.
Key courses often include:
- Data Structures and Algorithms
- Statistics and Probability
- Machine Learning
- Deep Learning
- Natural Language Processing
- Robotics and Automation
- Neural Networks
- Computer Vision
Practical Exposure
Students gain hands-on experience through labs, projects, and internships that reinforce their learning. Many programs encourage or require a capstone project where students apply their knowledge to real-world problems, often in collaboration with industry partners.
Career Opportunities
The US Bureau of Labor Statistics reports that demand for data science skills will boost 27.9 percent employment growth in the sector by 2026. Not only is there a huge demand, but there is also a significant shortage of trained data scientists. Some of the most sought after profiles in Data Science are listed below.
· Data Scientist.
· Mechanical Learning Engineer.
· Mechanical Learning Scientist.
· App Designer.
· Enterprise Architect.
· Data Designer.
· Infrastructure Designer.
· Data Engineer.
· Data Analyst
· Python developer