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Commencement of Counselling - 12 August 2020
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AI & Machine Learning with IBM-ICE

  • Specialization in Artificial Intelligence and Machine Learning with IBM-ICE

About the Course

The confluence of academia and industries is inevitable in the growing field of Computer Science. HITS, has come out with a novel solution of running B.Tech courses aligned with industrial standards along with the industrial leader IBM.

Artificial Intelligence specialization will create engineers, who can build solutions, with intelligence as humans. With 5 million job openings a year, AI is called as the skill of the century. The B.Tech Programme with specialization on AI and Machine Learning will have core courses from Computer Science and Engineering and electives courses in AI and Machine Learning, which are designed by IBM. Upon completion of the course, every student will receive a digital badge from IBM along with the degree from HITS, which gives them a edge over other students.

Career opportunities:

  • AI/ML Analyst-Machine Learning Engineer.
  • Data Scientist/ Analyst
  • Software Developer or Python Developer-Machine Learning/NLP.
  • Image processing Engineer.
  • Researcher-Machine Learning

COLLABORATION WITH IBM

IBM ICE Collaborative, Industry Ready Programs on Current and Futuristic technology to enrich curriculum with industry aligned course for Engineering Students.

MoU with IBM ICE,2014 Senior Manager Mr Hari, from IBM Addressing our students;

FEATURES OF THE COURSE:

  • 1 Industrial Visit with Dell, 1 Industrial Visit Planned to IBM Bangalore
  • Train-The-Trainer (T3) Program to develop expertise with HITS Staff on Cloud Computing & Virtualization
  • 12 Training Programs/Seminars/GLs/Webinars and Interactive Sessions are conducted by IBM & their partners.

Mr Vithal, Senior Manager – IBM -ICE Addressing the students 1:1 counseling session with students and parents about the IBM program
IBM-T3 programs for our faculty by IBM & their partners

FEATURES OF IBM CLASSES

  • Interactive sessions, Group Discussions & Role Plays
  • Assignments on latest trends and tools
  • E-Learning Methods & ITrack Online Portal

Overall List of AI and ML courses (All semesters)

  • Introduction to Artificial Intelligence
  • Machine Learning
  • Artificial Intelligence and Machine Learning 1 with Lab
  • Algorithm for Intelligent Systems and Robotics with Lab
  • Data Mining and prediction by machines  with lab
  • Artificial Intelligence and Machine Learning 2
  • Cognitive Analytics with Lab
  • Computational Linguistics and Natural Language Processing with lab
  • Artificial Intelligence and Machine Learning 3
  • Application of machine learning in industries with Lab
  • Neural Networks with Lab
  • Pattern and Anomaly Detection with Lab
  •  Application of machine learning in industries Lab
  • Dynamic Paradigm in Artificial Intelligence and Machine Learning 4
  • Deep Learning Fundamentals
  • MajorProject I

Semester-wise List of AI and ML courses:

SEMESTER 1

SEMESTER 2

 

  1. Introduction to Artificial Intelligence

SEMESTER 3

SEMESTER 4

  1. Machine Learning
  2. Dynamic Paradigm in Artificial Intelligence and Machine Learning 1
  3. Machine Learning Lab
  1. Algorithm for Intelligent Systems and Robotics
  2. Data Mining and prediction by machines
  3. Data Mining and Prediction machine Lab
  4. Algorithm for Intelligent Systems and Robotics Lab
  5. Dynamic Paradigm in Artificial Intelligence and Machine Learning 2

SEMESTER 5

SEMESTER 6

  1. Cognitive Analytics
  2. Computational Linguistics and Natural Language Processing
  3. Dynamic Paradigm in Artificial Intelligence and Machine Learning 3
  4. Cognitive Analytics Lab
  5. Computational Linguistic and natural language processing Lab

 

  1. Application of machine learning in industries
  2. Neural Networks
  3. Pattern and Anomaly Detection
  4. Application of machine learning in industries Lab
  5. Pattern and Anomaly Detection Lab
  6. Neural Networks Lab
  7. Dynamic Paradigm in Artificial Intelligence and Machine Learning 4

SEMESTER 7

SEMESTER 8

  1. Deep Learning Fundamentals
  1. Major Project I
Curriculum & Syllabus