Machine Learning – Foundation Machine Learning – Foundation

Machine Learning – Foundation

Machine Learning – Foundation

Course Provider

Machine Learning – Foundation

Course Highlights:

  • This course is about ML for execution of skills in professional environment. This has 40% theory and 60% practical, delivered with the coding platform ensuring the right skills are learned
  • The course implemented in Python includes Statistics, ML algorithms - Regression, Classification, Clustering and Association
  • The project covers Training-Validating-Testing-Deploying of the ML model
  • Beginners experience challenge to learn deep skilling programs because of the long duration. This foundation program quickly takes them through the essentials of Machine Learning, which are an immediate need at the workplace, for which team leads always look out for in a fresher. This becomes a start point to build career and get going with the project.
  • Unique value proposition includes –
    • Compact with powerful course features
    • Relevant for the present industry requirements
    • Helps solve challenging problems at work
    • Optimal cycle of learning
  • Job Roles-
    • Data Quality Analyst
    • Machine Learning Engineer
  • Eligible for GOVT. OF INDIA Incentives

What will you learn in Machine Learning – Foundation 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

  • skill-type-icon Skill Type
    Emerging Tech
  • domain-icon Domain
    Artificial Intelligence
  • course-category-icon Course Category
    Deepskilling Course
  • course-category-icon Placement Assistance
    Yes
  • certified-earned-icon Certificate Earned Joint Co-Branded Participation Certificate & Partner Completion Certificate
  • ssc-assesment-icon Nasscom assessment Coming Soon
  • course-covered-icon Course Covered under GoI Incentive
    Yes
    • cost-white-icon Course Price
      INR 8,000
      + 18% GST
    • duration-white-icon Course Duration
      60 Hours
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Why should you take Machine Learning – Foundation 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 – Foundation 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

  • 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 – Foundation 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.

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

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