Offered By in collaboration with

offer
INSTITUTIONAL BUNDLE OFFER PER STUDENT
elective1
Course 1 ₹ 17,000/-
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elective
Course 2 ₹ 17,000/-
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elective
Course 3 ₹ 17,000/-
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elective
Course 4 ₹ 17,000/-
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Choose any 4 courses
Total Price
₹ 68,000/-
Offer Price
₹ 42,000/-
Offer available only for Institutions

Course Details

Course Start Date
1 stAugust 2019
Not Recommended after August 2019
Course End Date
31 st December 2019
Language
English
Exam Dates
Multiple slots in December 2019
Credits & LTP
Each course offered would have 5 credit points.
Lecture
3
Tutorial
1
Practical (Hands on)
1
Credit
5
Recommended For:
Graduation Programme - B.E./B.Tech
Branch - Computer Science Engineering and Information Technology, Electronics and Communication Engineering, Mechanical Engineering
Semester -
5 th  and  6 th

Course Summary

Artificial Intelligence (AI) is an area that will create 2.3 million jobs globally. Artificial Intelligence for Real-World Application as a course will prepare the students to gain an edge over this opportunity. This course will help students understand Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, TensorFlow and Natural Language Processing (NLP).

The course is offered in phygital mode which includes lectures, hands-on learning and industry inputs. The students will work on mini projects to gain real-time experience.
Python 3.x and its associated packages will be used to implement the AI/ML concepts and algorithms. The required packages include the following:

  • Scikit-learn - A machine learning library that provides a range of supervised and unsupervised learning algorithms.
  • TensorFlow - A computational framework for building machine learning models.
  • Keras - A neural network library that works on top of TensorFlow.
  • OpenCV - An open source library for computer vision, machine learning and image processing and recognition.
  • NLTK - A suite of libraries and programs for symbolic and statistical Natural Language Processing (NLP) for English language.
Intel Optimized versions are available for:
  • Python
  • TensorFlow
  • NLP Architect project

Hands-On

Course includes access to virtual hands-on environment.

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RECOMMENDED PRIOR KNOWLEDGE
Knowledge of Object-oriented Programing (OOPs)

Knowledge of Java or .NET or Python

Course Syllabus

The course syllabus will be delivered through a combination of multimodal digital content, live lectures, community based digital classrooms as applicable.
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Course Components

Digital Content in
Multimodal Format
Digital course accessible anytime and anywhere View Sample
Digital
Lectures
Live lectures delivered by industry and academic experts View Sample
Academic Connect
Community
Focussed on building conceptual clarity View Sample
Industry Connect
Community
Focussed on building industry oriented applied knowledge View Sample
Industry
Assignment
Access to two industry related mini projects View Sample
Practice
Assessment
Access to two practice assessments for self-evaluation View Sample
Summative
Assessment
Test of theoretical and applied knowledge View Sample
Verifiable Digital
Certificate
Verifiable certificate on successful completion View Sample
Internship
Opportunity
For top percentile, subject to vacancy View Sample
Job
Opportunity
Visibility to job vacancies with leading corporate recruiters View Sample

Available Locations

!~StateCity~!
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Meet the Mentors

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FAQs

1. How will this programme help students in building their proficiency? +
  • This programme is envisaged to help build a strong foundation across various streams through digital lectures, practice and summative assessments, mini-projects, mentorship from renowned industry and academic experts. Students will also get an opportunity to showcase their skills to potential recruiters.