Machine Learning


Machine learning is the tool that analyses large amounts of data to identify the underlying patterns using Supervised & Unsupervised methods. These patterns provide insights about the data without explicitly writing a specific code for decision making.

Course Highlights
  • 10 Weeks, 30 Sessions Program
  • 3 Major Project
  • 30 Algorithm Exercises
  • Hybrid Learning Model
  • Certification Program
  • Internship Included
  • Job Placement Assistance
  • Online or Classroom Options
  • Regular or Weekend Batches
₹ 30,000
₹ 35,000
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Machine learning can be defined as a concept in which computers or systems are enabled to learn from the data without being programmed. It has various applications right from Regression, Time series, Clustering to Classification making it the most sought after course. Machine learning is an integral part of both Data Science and Artificial Engineering and the professionals are engaged in building models that suit the specific business application. Almost every organization is investing heavily in Machine Learning for a better future.

We as humans are generating tons of data on daily basis and it is the prerogative of the organizations to analyse the data to get real insights from it to align their businesses toward the market needs. Learning Machine Learning would help you to be part of this endeavour by helping organizations build relevant models to solve business problems. Be the talent the organization is looking for and part of the solution.

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The Machine Learning course would build the essential knowledge related to Supervised and Unsupervised algorithms so that you could select the right algorithm to address the business problem. Through this course, you would solve various hands-on exercises that make you confident to handle any requirement. Post completion of the course the learners could work with organizations to build efficient models. The application part of this course would prepare you for the future and the internship option would give you the necessary exposure.

Hybrid Learning for everyone

Get a personalized dashboard and watch our proprietary videos related to the topics, before attending the scheduled Online or Offline course – Knowledge to Skill


  • Cases & Hands-on exercises
  • High-end Industry-ready program
  • Project Based Approach
  • Minimum Batch Size
  • Job Preparation with Profile building
  • Internships and projects
  • Scholarship Assessments
  • Knowledge-Skill Pedagogy


  • Get Dashboard with Hybrid Learning – Watch Videos before Online or Offline classes.
  • Learn various Supervised and Unsupervised algorithms.
  • Learn Regressions, Time-Series, Classification and Clustering techniques.
  • Solve real time social and business problems using machine learning models.
  • Participate in hackathons and boot camps to improve your skills.
  • Learn the deployment techniques and cloud computing to deploy your models for general public use.

Curriculum Impact

This practical course intends to impart skills in the learners at the pace they prefer until they transform into full-fledged Machine Learning Experts. Learn Machine Learning course with confidence as it is led by professionals from the industry. The curriculum supports the step-by-step transformation while building confidence to handle various business domain problems.

  • Fundamentals
  • Syntax,Keywords,Comments
  • Variables
  • Input / Output Operations;
  • Datatypes, Strings, List, Tuples, Set, Dictionary
  • if statement, if-else, Nested if
  • For, While
  • Nested Loops
  • Range, Break
  • Default, User-defined
  • Lambda, Nested
  • Recursion, Decorators
  • Iterators, Map, Filter
  • Classes, Objects
  • Principles, Encapsulation
  • Docstrings & Constructor
  • Errors;
  • Assertions
  • Exception Handling;
  • User-defined exceptions
  • Data Types
  • Samples
  • Measures of Central Tendency
  • Meas. of Dispersion
  • Positions
  • Distribution
  • Sampling
  • Hypothesis Testing
  • Probability
  • Distributions
  • ; Prob. Theorems
  • Introduction, Libraries;
  • Data Sourcing
  • E.D.A
  • Feature Engineering
  • Linear & Multiple Linear Regression
  • Logistic & Multiple Logistic Regression
  • Support Vector Machine, K-Nearest Neighbor
  • Decision Trees
  • Ensemble Methods
  • Optimization Techniques
  • K-Means Clustering
  • K-Medoid Clustering
  • DB-Scan Clustering
  • Optimization Techniques
  • Introduction to Neural Networks
  • Artificial Neuron, Artificial Neural Networks
  • Convolutional Neural Networks
  • ANN vs CNN
  • 2 Real-time Projects


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Skills are what we promise – Acquire essential skills right from the preparatory course to interview readiness. Our pedagogy encourages and prepares you for real-life situations. Find the right balance between knowledge and skills through practice.

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The demand for Machine Learning engineers is every increasing with the introduction of more powerful algorithms to solve business problems. Indian organizations are investing heavily in customized algorithms to suit their business need. Hence, the demand for Machine Learning Engineers is on the rise and it is time for you to position yourself as one. Check the statistics that define the demand and for everything Machine Learning is the essential base.

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We believe in encouraging talented learners with Scholarships to avoid the learning hurdles due to financial limitations. However scholarships must be awarded based on the merit and hence our assessments. We would be glad to assess learners using our multi-dimensional assessment to identify the dormant potential and thus encourage them through the learning process by offering financial benefits. To know more you could contact us or register for the online assessment. If you are not clear on the career path in the field of AI, please feel free to meet our career counsellor. We would be glad to guide you through the career options to draft a personalized career path.


Frequently Asked Questions

It’s common to have queries related to the course and future career. We have summarized frequently encountered questions for your ready reference. In case you could not find answer for your specific query, please feel free to write to us.

AI is not new however, with the evolution of computational power, memory and powerful algorithms there are new opportunities to solve many real-life challenges. These opportunities are spread across all the domains, be in medical, space, marketing, education, finance and so on. Hence, almost every organization is investing heavily in AI which is creating many opportunities and these would increase over the time.

This is a certification course and post-completion of the course you would awarded with the certificate. AI-Practitioner is a role which defines a professional who used AI technology to solve problems. Post completion of the course ou would be capable to solving real-life problems hence you could turn into an AI-Practitioner.

Indeed. We have Short and Long duration Programs, Regular and Weekend Programs just to meet the dynamic needs of the working professionals. Even the learners could change the batches, as per the availability to suit their schedule.

There is no domain in the world that is currently not using AI solutions. We have Governments, Law, Healthcare, Banking, Education, Security, Pharma, and many more domains using AI to solve tough problems or increase efficiency or effectiveness. Even we use AI applications in our daily life which made it an integral part of lives.

Projects are part of our course. We encourage students to take up minimum one project to complete their program. These projects vary as per the domain interest for the learner and supported by our mentors. All are projects address problems faced by the industry hence learners try to find solution for these through their projects giving them real-time experience.

AI is subject intensive and includes programming. However, AI is based on learning but not logic. Meaning, there will be programming to read the data, train the model and so on however, not as intense as the typical logic based programming. This reduces the programming load on the AI-practitioner and focuses more on data management and model optimization to solve the problem.

Data Science is a growing field and there are numerous opportunities in almost every domain. You could be a Data Analyst, Machine Learning Engineer, Business Intelligence Expert, or a Data Scientist. There are equal opportunities for the freshers and also the experienced professionals. The trends in the job market showcase that Data Science would stay as one of top 3 careers in demand.

You need basic statistical knowledge, logical or algorithmic thinking, and inclination to learn a programming language. These are essential and rest of the skills could be built over time. Communication and writing skills would help you in creating report and when applying for jobs.

Yes. We help learners in getting themselves market ready through profile building, interview preparation, mock interviews, assessments and more. We would also recommend jobs from our IT network and partners, where the industry professionals are looking for right talent.

If you have changed your mind after enrollment for whatever the reason may be we would refund the fee deducting administration and other costs. No questions asked. However if you start attending the sessions then refund is not possible. You could reserve your seat in the future batches.