TCS iON Industry Honour Course - Machine Learning for Real-World Application (ML)
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Course Details
Course Commencement
Course Completion
Language
English
Exam Dates
Credits & LTP
Each course offers 5 credit points.
Recommended For:
Branch - Applicable across all engineering branches
Semester - 5th, 6th, 7th and 8th
Course Summary
Machine Learning (ML) is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine Learning focusses on the development of computer programs that can access data and learn from it.
+ Read MoreRECOMMENDED PRIOR KNOWLEDGE
- Mathematics and Statistics
- Linear Algebra: Matrices and Vectors
- Calculus: Differentiation, Partial Derivatives and Gradient
- Statistics: Descriptive Statistics, Normal Distribution, Probability
- Python
- Basic Programming
- Data Processing using NumPy, SciPy, Matplotlib and Pandas
- Basic usage of Scikit, Scikit-learn packages in Python
- Completing the course "TCS iON Industry Honour Certification - Artificial Intelligence for Real-World Application" is highly recommended.
Course Syllabus
The course syllabus will be delivered through a combination of eLearning resources, digital lectures, community based digital classrooms as applicable.
Course Components
Digital Self-paced Content
Content enables the learners to access interactive and engaging materials to learn at their own pace and convenience for a flexible learning experience
Expert Lectures
Multiple lectures delivered by experts from academy and industry, covering theoretical and hands-on implementation of the technology
Discussion Forum
A community to share and resolve your queries, doubts and ideas which will be responded to by the academic and industry experts
Industry Assignment
Opportunity to work on industry-related assignments and mini projects created by industry experts to gain real-time industry exposure
Periodic Formative Assessment
Three formative assessments are conducted in a continuous comprehensive evaluation pattern during the course of learning
Summative Assessment
Candidates to appear for summative assessments consisting of two parts - Test of knowledge and Test of application
Verifiable Digital Certificate
Successful candidates to receive a digital certificate, verifiable through online platforms
Internship Opportunity
Remote internship will be provided to students which will give them an exclusive opportunity to work with industry mentors on projects and document preparation
Job Visibility
Get visibility to job vacancies with leading corporate recruiters that recognise the
TCS iON NQT certification, subject to vacancies in corporates and their hiring policies
Career Outlook
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The demand for ML specialists will grow by 40% from 2023 to 2027.
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The most required Python libraries for ML engineers are TensorFlow, Keras, and scikit-learn.
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LinkedIn's 'Jobs on the Rise' report highlights AI and ML as the top skills driving job growth, with a 75% increase in postings over the past four years. This trend shows no signs of slowing down, with experts predicting a 200% surge in ML job opportunities by 2030.
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According to the Future of Jobs Report 2023, 'Demand for AI and ML specialists is expected to grow by 40%, or 1 million jobs, as the usage of AI and ML drives continued industry transformation'.
Career Outlook
Potential Job Roles
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TCS iON NPT - Machine Learning
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