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    PG Certificate Program in Data Science, Machine Learning & AI

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    Hero Vired

    Become a leader of thought, and a game-changer that the world requires with the PG Certificate Program in Data Science, Machine Learning & AI online course.

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    Mode

    Online

    Duration

    11 Months

    Fees

    ₹ 425000

    Quick Facts

    particular details
    Collaborators MIT Cambridge
    Medium of instructions English
    Mode of learning Virtual Classroom
    Mode of Delivery Video and Text Based

    Course overview

    PG Certificate Program in Data Science, Machine Learning & AI is an 11 months certification course that is a collaborative effort between Hero Vired, Massachusetts Institute of Technology, and BML Munjal University. This course is an integration of topics like Machine Learning, Data Science, and Artificial Intelligence which gives the participants equipped with the correct tools for becoming future-ready.

    PG Certificate Program in Data Science, Machine Learning & AI training will help participants to be the forerunner of innovation in their organizations to become a leader that is required by the current world. This post-graduate certification course is considered India’s only full-time, live online comprehensive programme for both freshers, and professionals. The candidates with this certification can collect, leverage, interpret, and then finally evaluate this data to make businesses profitable, and enhance the customer experience as a whole.

    The highlights

    • 11 months programme
    • Live online classes
    • Instructor-led sessions
    • Taught by MIT faculty
    • Completion certificate

    Program offerings

    • Online course
    • Live sessions
    • Micromasters® credentials
    • Certificate of completion
    • Postgraduate certification
    • Doubt clearing sessions
    • Project work

    Course and certificate fees

    Fees information
    ₹ 425,000

    The entire PG Certificate Program in Data Science, Machine Learning & AI fee is Rs. 4,25,000 which must be paid after adding the applicable GST charges to Hero Vired. 

    PG Certificate Program in Data Science, Machine Learning & AI Fee Structure

    Description

    Amount

    Course Fee

    Rs. 4,25,000 + GST

    certificate availability

    Yes

    certificate providing authority

    Hero Vired

    Who it is for

    Anyone with any academic qualification interested in machine learning algorithms, and end-to-end programming can definitely look forward to being benefited from this online course. Also, this course will attract those participants who are not afraid to take up technical challenges or want to keep on exploring advanced mathematics, or scientific concepts. 

    Eligibility criteria

    Educational Qualification

    • College students or candidates who have already completed an undergraduate degree like B.Com, BBA, B. Tech, BA, BCA, or B. Sc shall be considered eligible.

    Work Experience

    • Candidates having zero or 10+ years of work experience shall be allowed to take admission. 

    Certification Qualifying Details

    • Once the participants successfully get done with this PG Certificate Program in Data Science, Machine Learning & AI, they will be offered one certificate from Hero Vired, who has collaborated with MicroMasters® credentials, MIT. Along with this, they shall also get a BML Munjal University postgraduate certificate.

    What you will learn

    Machine learning Data science knowledge Knowledge of artificial intelligence

    PG Certificate Program in Data Science, Machine Learning & AI syllabus will teach the following concepts:

    • Candidates will be able to perform end-to-end programming, which shall include MLOPs and data engineering.
    • The dependence of candidates on libraries will reduce as they will be able to develop their very own libraries and ML algorithms from the very initial stages.
    • Ultimately the participants will have ideas about data science, machine learning, python programming, and artificial intelligence.

    The syllabus

    Overview of Analytics, Machine Learning and Python programming

    • Qualities of a good analyst
    • Analytics methodologies and problem definitions
    • CRISP-OM architecture
    • The goal of machine learning
    • Elements of supervised learning
    • Introduced to python environments and ML packages
    • Difference between the training set and the test set
    • Concept of Object-Oriented Programming
    • Difference of classification and regression
    • Programming for a live environment
    • Debugging, IDEs, and python basics
    • NumPy for matrix algebra
    • Mathematical and statistical operations
    • Exception handling
    • File handling

    Getting started with Data

    • Data availability
    • Types of data sources
    • Policies and guidelines related to importing data
    • Free/open-source/organizational data
    • Understand types of data – qualitative v/s quantitative; categorical v/s numerical
    • Import data on Python – import/read data from different sources
    • Metadata and data dictionaries
    • Introduction to Bl tools – concepts of data warehouse and database
    • Power Bl to conduct basic data warehouse reporting
    • Store data in required structures
    • Power Bl to conduct visualization of descriptive statistics

    Data Gym with Python

    • Data formatting
    • Data description, data types of all features
    • Summary statistics of data
    • Data manipulation
    • Data sanity checks
    • Exploratory Data Analysis – univariate and bivariate analysis
    • Data Pre-processing – missing value and outlier treatment
    • Feature Engineering – scaling and normalization, variable creation

    Fundamentals of Statistics

    • Understand the role of mathematics in statistical analysis methods
    • Formulate a statistical problem in mathematical terms
    • Select appropriate statistical methods
    • Implications and limitations of various methods

    Probability – The Science of Uncertainty and Data

    • Learning basic structure and elements of probabilistic models
    • Distribution, and probabilistic calculations

    Machine Learning with Python-From Linear Models to Deep Learning

    • Understand principles behind machine learning problems
    • Implement and analyze models
    • Choose suitable models for different applications
    • Implement and organize machine learning projects

    Statistics, Computation and Applications

    • Using dimension reduction techniques
    • Describe the importance of nodes
    • Using Gaussian processes to model environmental data
    • Communicate analysis results effectively

    Advanced Concepts in Machine Learning

    • Advanced concepts in Machine Learning
    • Fundamental concepts of classic ML algorithms such as logistic regression, linear regression, and neural networks
    • Implement natural language processing applications
    • Analyze additional clustering and reinforcement learning algorithms
    • Implement image and video analytics

    Concept of MLOps

    • Making a web service online
    • Use Azure ML Studio
    • Operationalize an ML pipeline
    • Demonstrate key components of MLOps
    • Familiarized with prototyping using Flask

    Data Visualization and Storytelling

    • Understand the principles of data storytelling
    • Solid grasp on building visualizations on Tableau
    • Understand the importance of ex-post storytelling by visualizing model outcomes, and post-modelling reporting of predictions, and performance metrics.

    Data Science in the Indian context

    • Primary and secondary data research in India
    • Working with open and semi-open datasets
    • Non-traditional supplementary sources of data

    Explainable AI

    • Black Box· of Al
    • Interpretability versus explainability
    • Accuracy versus explainability
    • The tree approach, layer-wise relevance propagation, sensitivity analysis
    • Algorithmic generalization for deeper control and understanding
    • Shapley values, partial dependence plots, and DeepLIFT

    Other tools for Machine Learning

    • ML project workflow using CRISP-OM concepts on R and KNIME.

    Admission details

    Below is the PG Certificate Program in Data Science, Machine Learning & AI admission details:

    Step 1: The first step is to visit the programme’s official website: https://herovired.com/courses/data-science-machine-learning-ai-course-certification/?utm_source=AIM_email&utm_medium=AIM_Emailer&utm_id=AIM

    Step 2: On the right side of the course homepage, candidates will find an ‘Apply Now’ button.

    Step 3: As soon as they locate that button, they must fill in some requisite information on the form, and hit that button.

    Step 4: Next the programme coordinators will contact the students for further verification.

    Step 5: As soon as the 4 above steps are completed, and the fee is paid, admission is offered. 


    Filling the form

    There is no application form that can be located on the Hero Vired website. Instead, we do find a form that asks for details like full name, mobile number, email address, the undergraduate degree name that needs to be selected from the available dropdown, number of experience in years, and finally the location.

    How it helps

    The PG Certificate Program in Data Science, Machine Learning & AI benefits are:

    • The program attempts to deliver a holistic mix of both global academic content with a hint of complete Indian contextualisation for its participants.
    • At least 70% - 90% of the classes conducted will be live ones which will be guided by instructors online, and candidates will be able to participate in sessions for their doubt clearance.
    • This certification course has a joint focus on academics as well as the industry which provides real-life learning opportunities from projects.

    FAQs

    What is the method of instruction for this certificate programme?

    The method of instruction is live online classes.

    Which university has become a partner to provide certification related to this Data Science, Machine Learning & AI programme?

    The partner of Hero Vired for this programme is the Massachusetts Institute of Technology and the BML Munjal University.

    Can candidates who are college students seek admission?

    Yes, definitely ones who are college students may seek admission if they seem interested in the contents of the course.

    Can candidates residing in any part of India seek admission to the PG Certificate Program in Data Science, Machine Learning & AI course?

    Participants belonging to any state or union territory in India can ask for admission.

    Can the fee be paid with 0% EMIs offered for the programme?

    To avail, and pay with 0% EMI, candidates must contact Hero Vired fr further process.

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