Machine Learning Certification

The Machine Learning Course from 4CLearn will make you gain expertise in machine learning. It is the form of artificial intelligence which will make train computers to perform specific tasks with the help of experience and not through explicit programming. You will become expert in machine learning concepts and techniques. This will include supervised and unsupervised learning, mathematical and heuristic conditions, and hands-on modeling to develop algorithms and make you suitable and prepared for Machine Learning Engineer.

Key Features
  • Instructor-led learning for 32 hours.
  • Expertise with 25+ exercises
  • Practical Exposure to 15+ Machine Learning Algorithms
  • Mastery of the concepts of supervised and unsupervised learning.

Course Description

1: Introduction to Artificial Intelligence and Machine Learning
  • Artificial Intelligence
  • Machine Learning
  • Machine Learning algorithms
  • Applications of Machine Learning
2: Techniques of Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Semi-supervised Learning and Reinforcement Learning
  • Some Important Considerations in Machine Learning
3: Data Preprocessing
  • Data Preparation
  • Feature engineering
  • Feature scaling
  • Datasets
  • Dimensionality reduction
4: Math Refresher
  • Eigenvalues, Eigenvectors, and Eigendecomposition
  • Concepts of Linear Algebra
  • Introduction to Calculus
  • Probability and Statistics
5: Regression
  • Regression and Its Types
  • Linear Regression: Equations and Algorithms
6: Classification
  • Classification
  • Logistic regression
  • K-nearest neighbours
  • Support Vector Machines
  • Kernel SVM
  • Naive Bayes
  • Decision tree classifier
  • Random forest classifier
7: Unsupervised learning - Clustering
  • K-Means Clustering
  • K-means Clustering
  • Clustering Algorithms
8: Introduction to Deep Learning
  • Meaning and importance of deep learning
  • Artificial Neural networks
  • TensorFlow

Course Description

Q1. Why should you learn Machine Learning?
  • Machine Learning is the buzzword these days. It is known around the world. More professionals want to pursue courses in Machine Learning and gain expert knowledge on the same.
  • It is expected that machine learning concept will experience a phenomenal rise in market size from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
Q2. What are the Course Objectives?

A2. Machine learning is bringing a phenomenal change in the way computers work as well as the way people interact through digital media. Machine learning has a place in many applications as it makes a quick, cheap and automatic analysis of complex data. Few innovative and automated technologies like recommendation engines, facial recognition, fraud protection and even self-driving cars.

This course on Machine Learning provides hands-on knowledge and skills to engineers, data scientists, and other professionals. The demand for machine learning skills is going quickly. According to The median salary of a Machine Learning Engineer is $134,293 USD.

Q3. What skills will you learn?

A3. After finishing the Machine Learning Course, you will learn the following:

  • Strong expertise on the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
  • Practical exposure to principles, algorithms, applications of machine learning. This is done with the help of a hands-on approach which includes working on 28 projects and one capstone project.
  • Gain thorough knowledge of the mathematical and heuristic aspects of machine learning.
  • Learn the concepts of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
  • Understand the theoretical concepts and how they relate to the practical aspects of machine learning.
  • Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems.
Q4. Who should take this Machine Learning Training Course?

The demand for skilled Machine learning Engineers is rising across all industries. Due to this reason, the machine learning course is well suited for the participants at the medium level of management. We recommend this course for the following professionals:

  • Developers who want to be a data scientist or machine learning engineer
  • Analytics managers who are leading a team of analysts
  • Business analysts who aim to understand data science techniques
  • Information architects who want to gain expertise in machine learning algorithms
  • Analytics professionals who want to work in machine learning or artificial intelligence
  • Graduates looking to build a career in data science and machine learning
  • Experienced professionals who would like to harness machine learning in their fields to get more insights
Exam and Certification
Q1. What is required for me to unlock my 4CLearn certificate?

A1. To obtain machine learning from 4CLearn:

  • Regularly take up classes of one complete batch.
  • Finish the evaluation of any one of the given projects.


Q1. Who are the instructors? What is their selection procedure?

A1. We have a pool of highly qualified trainers who have rich and relevant work experience. All of them have attended a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty

Q2. What is Global Teaching assistance?

Our teaching assistants are subject matter experts. They have the focused goal to make maximum students clear their exam in the first attempt. They ensure that course path is being followed and students get the best learning experience from the first class to job assistance.

Q3. What is Cloud lab?

CloudLab is a cloud-based Python environment lab that 4CLearn offers the Machine Learning course. This ensures a comprehensive execution of your hands-on projects.Installing and maintenance on Python and it’s libraries on a virtual machine is not required. Instead, you’ll be able to access a pre-configured environment on CloudLab via your browser.

You will be able to access to 4CLearn’s online CloudLab platform, from the 4CLearn Learning Management System (LMS) for the duration of the course.