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NIATM COURSES

Artificial Intelligence
  • Bachelors Program in Artificial Intelligency
  • Master Program in Artificial Intelligency

Eligibility Diploma or HSC with 3 years Work Experience
Duration 4 Year
Fees 52650.00
Syllabus Sem - I
  1. Introduction to Artificial Intelligence
  2. Programming for Problem Solving
  3. Maths - I
  4. Engineering Physics
  5. Computer Aided Design & Drafting
  6. Principles of Electrical and Electronics Engineering
Sem - II
  1. Application based Programming in Python
  2. Maths - II
  3. Advanced Physics
  4. Engineering Chemistry
  5. Basic Mechanics
  6. Multimedia Application
Sem - III
  1. Introduction to Biology for Engineers
  2. Discrete Structures
  3. Computer Organization and Architecture
  4. Data Security using C
  5. OOPS Using Java
  6. Soft computing
Sem - IV
  1. Communication to computer
  2. Principles of Operating System
  3. Computer Networks
  4. Data Base Management System
  5. Environmental Science
  6. Advance Java
Sem - V
  1. Design and Analysis of Algorithm
  2. Theory of Computation
  3. Introduction to machine and learning technologies
  4. Industrial IoT & Machine Learning
  5. Program Elective - I
  6. Mathematical and Statistical techniques
Sem - VI
  1. Compiler Design
  2. Artificial Intelligence
  3. Neural Networks
  4. Program Elective - II
  5. Open Elective
  6. Statistics
Sem - VII
  1. Web Technologies
  2. Fundamental Physics and Labore
  3. Genetic Algorithm and Applications
  4. Graphical Models and Bayesian Networks
  5. Deep Learning
  6. Advanced Big Data Analytics
Sem - VIII
  1. Reinforcement Learning
  2. Recommender System
  3. Time Series Analysis
  4. Application of AI and ML in Robotics
  5. Expert System
  6. AI Platform

Eligibility Graduate or with 5 years of Work Experience
Duration 2 Year
Fees 48750.00
Syllabus Sem - I
  1. Computer Architecture and Organization
  2. Electronics System Design
  3. Introduction to Robotics
  4. Machine and Mechanics
  5. Robotics Control System
Sem - II
  1. Digital Image Processing
  2. Electrical Actuators and Drives
  3. Image Processing & Machine Vision
  4. Robotics Based Industrial Automation
  5. Embedded Systems
Sem - III
  1. Artificial Intelligence and Neural Network
  2. System Modeling and Identification
  3. Nano Robotics
  4. Advanced Data Analytics by Python
  5. Robotic Simulation
Sem - IV
  1. Numerical Control Machines & Adaptive Control
  2. Manufacturing Systems Automation
  3. Robot Economics
  4. Modern Material Handling Systems
  5. Group Technology and Cellular Manufacturing

Courses

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