Application and Document Submission
Fill the application form and submit/post it to any ISBM centre. Include attested photocopies of mark sheets, two latest photographs, and work experience certificate(s).
Bachelors Program in AI and ML
Course Overview
The Bachelor's Program in Artificial Intelligence (AI) and Machine Learning (ML) is designed to equip students with the foundational knowledge and practical skills needed to excel in the rapidly evolving fields of AI and ML. The curriculum covers core topics such as neural networks, natural language processing, computer vision, and data mining. Through hands-on projects, students engage in the design, development, and implementation of intelligent systems that can learn from data and adapt to new information. The program emphasizes critical thinking, data analysis, and ethical considerations in AI applications.
Students also have opportunities to specialize in areas like robotics, deep learning, and AI ethics, enhancing their expertise. Internships and collaborative projects with industry partners provide valuable real-world experience, preparing graduates to tackle complex challenges and innovate in various sectors, from healthcare to finance. The Bachelor's Program in AI and ML aims to produce skilled professionals capable of driving advancements in technology and improving decision-making processes across industries.
Course Content:
Semester 1
- Introduction to Computer Science
- C Programming
- Digital Electronics
- Mathematics for Computer Science
- Web Technologies
- Lab: Programming in C
Semester 2
- Data Structures and Algorithms
- Object-Oriented Programming (C++)
- Computer Networks
- Operating Systems
- Elective: Cybersecurity Basics
- Lab: OOP with C++
Semester 3
- Database Management Systems
- Software Engineering
- Internet of Things
- Cloud Computing
- Elective: Mobile Computing
- Lab: DBMS
Semester 4
- Machine Learning
- Artificial Intelligence
- Data Communication
- Elective: Blockchain Technology
- Lab: AI Projects (using TensorFlow, Google Colab)
Semester 5
- Data Mining
- Deep Learning
- Web Application Development
- Elective: Advanced Networking
- Lab: Web Development (React, Angular)
Semester 6
- Big Data Analytics
- Advanced Software Development
- Cloud Security
- Final Year Project
- Lab: Big Data Applications (Hadoop/Spark)
Educational Goals:
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Programming Skills (AI & ML)
Equip students with proficiency in programming languages commonly used in AI and ML, such as Python and R.
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AI Concepts
Provide a strong foundation in the theories and principles underlying artificial intelligence and machine learning.
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Data Analysis Abilities
Foster skills in analyzing and interpreting large datasets to derive meaningful insights.
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Ethical AI Practices
Instill an understanding of the ethical implications and responsibilities associated with AI technologies.
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Problem-Solving Skills (AI & ML)
Encourage innovative thinking to develop solutions for complex AI and ML challenges.
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Collaboration (AI & ML)
Develop teamwork abilities through group projects and interdisciplinary initiatives.
Professional Paths:
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Machine Learning Engineer
Design and implement machine learning models and algorithms to solve real-world problems.
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Data Scientist
Analyze and interpret complex data to guide strategic business decisions using AI techniques.
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AI Research Scientist
Conduct research to advance the field of artificial intelligence and develop new methodologies.
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Robotics Engineer
Design and develop robotic systems that utilize AI for automation and intelligent behavior.
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Natural Language Processing Engineer
Create algorithms that enable machines to understand and process human language.
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AI Ethics Consultant
Advise organizations on ethical practices and responsible AI use in their operations.
FAQ's
Get Every General Answers From Here
ISTM is known for its distinctive approach that integrates technology and management
education. The institute emphasizes a holistic learning experience that equips
students with both technical expertise and managerial skills, preparing them for
dynamic careers in modern industries.
ISTM has specific admission criteria for different programs, typically including
academic qualifications, and sometimes work experience.
Prospective students should regularly check the institute's official website for
updated eligibility criteria and admission processes.
The institute provides comprehensive study materials, online resources, and
continuous support from academic advisors. Additionally,
periodic assessments and examinations are conducted to evaluate students' progress
and ensure learning outcomes are met.
Pursuing distance learning with ISTM offers several advantages, including
flexibility in scheduling, allowing students to balance their studies with
professional and personal commitments. Additionally, students have access to quality
education from experienced faculty members, industry-relevant curriculum, and
networking opportunities with fellow professionals.
