Course Provider
What will you learn in Machine Learning Course?
- The course starts by discussing the fundamentals of Maths and Statistics that provide the participant with the necessary foundation. Then they are taught various Machine Learning (ML) techniques. ML techniques like Regression, Classification, Clustering and Association are given equal weightage. Each of these techniques is learned with the help of at least 1 algorithm. Participants will be taught to pick right technique for the problem at hand.
- This course gives due importance to the data. Participants will learn to pre-process the data so that the data becomes ready for the actual processing. They will be taught to present the output with the help of different visualization tools.
- The course comes to a completion with a capstone project. The project teaches the participants the application of the concepts learned. This hands-on learning helps them strengthen their conceptual understanding in an emphatic way.
Machine Learning – Foundation
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Skill Type
Emerging Tech
- Domain
Artificial Intelligence
- Course Category
Deepskilling Course
- Placement Assistance
Yes
- Certificate Earned Joint Co-Branded Participation Certificate & Partner Completion certificate
- Nasscom Assessment Coming Soon
- Course Covered under GoI Incentive
Yes
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- Course Price
INR 8,000
- Course Duration
60 Hours
- Course Price
Why should you take Machine Learning Course?
- Data is the new fuel. Present age is driven by the data. Social networking has revolutionized the way people across the world interact and share the information. Huge volume of data is being generated by people across the world. This innocuous looking data holds trends and information.
- This course teaches the participants how to derive the hidden knowledge from the data. Participants will know how to clean the data, how to process the data and how to analyse the data. They also learn to make predictions based on the data. These predictions help in taking learned decision.
- Job prospects will improve when the participant gets equipped with the knowledge of Machine Learning. Lots of organizations are looking for professionals to work on their data. After completing this course, participants will find themselves more eligible to find a job that suits their expectations.
Who should take Machine Learning Course?
- There are no prerequisites to attend this course. Engineering students belonging to 2nd, 3rd, and final year students are eligible to attend this course.
- Also, all the undergraduate students who studied Mathematics as a subject at 10+2 level are eligible to attend this course.
- Students studying BSc, BCA, BCom etc., can attend this course.
Curriculum for Artificial Intelligence and Machine Learning Course
- Machine Learning (ML) is a type of Artificial Intelligence. It is the ability by which an algorithm improves on each iteration with “experience”, and thus produces better results every time it executes. We use ML when we have large quantities of data, and we need to derive knowledge and useful trends out of the data. ML includes a set of algorithms that take as input large quantities of data and outputs the results that can be utilized as per the need.
- This course does not expect any prerequisites from the participants and includes all that a participant needs to know about ML for execution of skills in professional environment. The theory and practical capsules with 40% and 60% respectively, of the course along with coding platform ensures the right skills are applied in respective domains.
- The course begins with the introduction to the very essential concepts of Mathematics / Statistics that are used by all the ML algorithms. This is followed by various ML algorithms in the categories of Regression, Classification, Clustering and Association. Python is used as a language to realize the algorithms.
- The course culminates with the execution of a project. This reinforces all the technical concepts that are covered in the course. With the execution of the project the participant learns the most important tasks of ML: Training-Validating-Testing-Deploying of the model. In a virtual and simulated environment, the participant is taken on a journey with live scenarios.
Tools you will learn in Machine Learning Course
Programs belonging to Python will first be executed in Python IDLE. Then they will be taken to the Anaconda suite. In this suite, they will be using Spyder Integrated Development Environment (IDE) and Jupyter IDE for the execution of all the other programs.What to Expect from the FutureSkills Prime Artificial Intelligence and Machine Learning Course
This course offered by FutureSkills Prime focuses on providing education in the field of Artificial Intelligence and Machine Learning. It aims to equip learners with the necessary skills and knowledge to excel in the rapidly evolving AI and ML landscape.
Upon completing the course, participants have the opportunity to earn a certification in Artificial Intelligence and Machine Learning. This certification can serve as a formal recognition of their expertise and can be a valuable addition to their professional profile.
Overall, the Artificial Intelligence and Machine Learning certification course can be a steppingstone to a rewarding career in the AI and ML field, offering a solid foundation and practical skills necessary for success in this rapidly growing domain.
FAQs
It ranges from 15 days to One (1) month
Any undergraduate student with Mathematics as a subject at the 10+2 level, is eligible to attend this course. It is expected that participants attend the course regularly
It is desirable to have a Laptop/Desktop. An internet connection is essential.
Virtual Instructor Led Training (VILT)
Regular fee for the course is Rs 8000/-. Please lookout for Introductory offers which will be made available from time-to-time.
Online payment mode
Joint Participation Certificate for Foundation course shall be awarded to all the participants NASSCOM Assessment (Gold, Silver or Bronze medal) Certificate shall be awarded to the successful candidates
It will add value to the profile. This will help the candidate get noticed by the IT companies
Successful candidates’ profiles shall be made available at the Career Services Portal of SSC NASSCOM through which placement opportunities are facilitated