Machine Learning Certification Program | Online Machine Learning Course Certification Program

Machine Learning


Become a Machine Learning Engineer and learn how to train an agent to play tic tac toe, train a Chatbot, and lots more



Self-Paced
Learning

Mode of Learning

Offline

Online

Industry
Expert
Duration:
Upto 3 Months


Program Highlights

  • Designed for college students and anyone who is looking at acquiring skills
  • Apply what you have learned through 5+ Case Studies and Projects
  • Job Placement Assistance with Top Firms
  • Earn your MTA Certification
  • Up to 50+ Hours of Self Paced Learning and Instructor-Led Training
  • Dedicated student mentor
  • Earn your MTA Certification on successful completion of the program

Program Overview



Reasons to Choose Our Certification

Top Skills you will learn

NLP, Deep Learning, Reinforcement Learning and Graphical Models along with a solid foundation in Predictive Analytics and Statistics

Eligibility

know how to code in python and mathematical knowledge in linear algebra, probability statistics, calculus, graphs

Job opportunity

Business Analyst, Product Analyst, Machine Learning Engineer, Data Scientist

Immersive learning model

A team based hybrid model of learning with domain experts




Curriculum



  • Algebra Fundamentals

  • Quadratic Equations and Functions

  • Differential Calculus Foundations

  • Differentiation and Derivatives

  • Vectors

  • Matrices

  • Statistics Fundamentals

  • Probability
  • Python Basics

  • Functions

  • Conditionals

  • Nesting and Loops

  • Regular expression

  • cx freeze

  • Matplotlib

  • Numpy

  • pandas
  • Introduction to Machine Learning

  • Supervised vs Unsupervised learning

  • High Level Data Science Process

  • Exploring Data

  • Data Preparation and Cleaning

  • Training and testing Data

  • features and labels
  • Backpropagation

  • Support Vector Machines

  • Bayes Theorem

  • Unsupervised Learning

  • K-Means Clustering

  • Hierarchical Clustering

  • Regression

  • Classification
  • Basics of Scikit Learn

  • Introduction to Neural Networks

  • Principles of Model Improvement

  • Techniques for Improving Models

  • Model Selection and Cross Validation

  • Feature Selection

  • Dimensionality Reduction

  • Principal Component Analysis



  • Basic Level


    starts from ₹7,000

    1. Access to self-paced videos for 12 months

    2. Upto 20hrs live training

    3. Upto 20hrs self-paced videos

    4. 3hrs a week Training

    5. 3 Months Program

    6. 1 Major + 2 Minor project

    7. Certificates: MTA, Internship,Course Completion

    8. 2 Mock practice for the MTA exam

    9. Placement support(6months)




    Intermediate Level


    starts from ₹10,000

    1. Access to self-paced videos for 12 months

    2. Upto 24hrs live training

    3. Upto 20hrs self-paced videos

    4. 3hrs a week Training

    5. 3 Months Program

    6. 1 Major** + 2 Minor project

    7. Certificates: MTA, Internship,Course Completion

    8. 2 Mock practice for the MTA exam

    9. 1 Group Discussion and Aptitude training**
    10. Mock interview

    11. Placement assistance for 6 months



    Advance Level



    starts from ₹15,000

    1. Access to self-paced videos for 12 months

    2. Upto 30hrs live training

    3. Upto 20hrs self-paced videos

    4. 3hrs a week Training

    5. 3 Months Program

    6. 2 Major + 2 Minor project + 1 Assignment

    7. Certificates: MTA, Internship,Course Completion

    8. 2 Mock practice for the MTA exam

    9. 1 Assessment and 1 case study
    10. Mock interview practice, Aptitude, Logical reasoning, and Interview hacking skills

    11. Placement assistance for 6 months