Minor Course in Artificial Intelligence and Machine Learning

A Minor Course in AI and ML provides essential knowledge and skills in artificial intelligence and machine learning

Start Date

February 13, 2026

Course Duration

270 Hrs

Offline Mode

₹ 36000

Start
Date

10 June 2024

Course Duration

6 Months

Instructors

Prakash, Srinivas + 2 more

About Program

The Minor Course in Artificial Intelligence and Machine Learning is designed to equip students with a foundational understanding and practical skills in AI and ML. The curriculum covers essential topics such as machine learning algorithms, neural networks, data mining, natural language processing, and computer vision. Students will gain hands-on experience through projects and lab exercises, applying theoretical concepts to real-world problems. The course emphasizes the development of critical thinking and problem-solving skills, preparing students for advanced studies or careers in AI and ML fields. By integrating knowledge from computer science, mathematics, and statistics, this course provides a comprehensive overview of how intelligent systems are designed and implemented. Additionally, ethical considerations and the societal impact of AI technologies are explored, ensuring students are aware of the broader implications of their work. This course is ideal for students seeking to augment their primary field of study with cutting-edge expertise in AI and ML.

Key Features

Why choose us?

LIVE mentoring & Doubt clarification sessions
100+ Lab Assignments
25 Hrs aptitude and logical reasoning
Interview preparation & Placement assistance

Training Option

Timings: Weekends

Timings: Monday - Friday (9.00 AM - 6.00 PM)

Tools & Softwares

Salary Scale

Maximum
10 LPA
Average
4 LPA
Minimum
2.5 LPA

Job Role

Our Alumni Work at

Course Curriculum

  • Calculus of Multiple Variables
  • Linear Algebra
  • Optimization
  • Probability Theory
  • Statistics
  • Introduction to Artificial Intelligence and Machine Learning
  • Dimensionality Reduction
  • Unsupervised Learning
  • Supervised Learning
  • Reinforcement Learning
  • Machine Learning
  • Neural Network
  • Deep Networks
  • Convolution Neural Network (CNN)
  • Different CNN Models
  • Graphical Model
  • Sequence Learning
  • Generative Modeling
  • Understanding digital images
  • Image enhancement techniques
  • Filtering operations
  • Image transformations
  • Object tracking and motion analysis
  • Image registration and stereo vision
  • 3D computer vision techniques
  • Text cleaning and normalization techniques
  • Text representation methods
  • Introduction to Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks
  • Training RNNs for sequence modeling tasks
  • Attention mechanisms and Transformer architectures for sequence-to-sequence tasks
  • Supervised learning algorithms for text classification
  • Sentiment analysis techniques
  • Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
  • Sequence Generation with Recurrent Neural Networks (RNNs)
  • Attention mechanisms and Transformer architectures for sequence-to-sequence tasks
  • Generative models for structured data
  • Ethical considerations and challenges in Generative AI research and applications
  • AI in Business
  • AI in Healthcare
  • AI in Finance
  • AI in Transportation and Logistics
  • AI in Education

Certification

Upon Completion of this course, you will:
  • Receive a Minor Degree from VTU.
  • Placement assistance through Rooman.

Testimonials

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Frequently Asked Questions

A minor degree is an optional and supplementary area of study that students can pursue alongside their primary or major degree. While the major is the primary focus of a student's academic.

Registration for a minor degree starts from the fourth semester of the B.E./B.Tech. program.

Students are required to complete all required minor degree program courses and earn at least 18 credits before completing the major degree program.

Yes, all prerequisite courses for the minor must be passed before major degree completion.

Yes. You will get assured 3 interviews after the course completion. Our team will prepare you for the interview by conducting several mock interviews, assisting in resume building and more to crack the interviews with ease.

A computer system equipped with a web camera, microphone, and internet connection (minimum speed 1 Mbps) are the basic technical componential requirements for pursuing the course.

You may communicate with our mentors who are available during the session and the same doubts will be taken up by the IIT Mandi faculty during the session

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