Machine Learning with Python | Global On-Job Training and Internship   Live Classes

University of Emerging Technologies provides an excellent Internship opportunity for their students with Project-based and Experiential Learning Methodology enabled by Industry experts in various Emerging Technology fields. In this program, you will learn the importance of Machine Learning and its implementation in the python programming language and how to automate real-life scenarios using Machine Learning Algorithms. After the training completion, students will work on real-life industry-focused projects as part of their internship.

Scheduled Live Classes
24/7 Live Labs
24/7 Live Support

Why take this Course?

One of the most in-demand careers across the world. Machine Learning is one of the hottest and most disruptive technologies out there.
The average machine learning salary, according to Indeed's research, is approximately $146,085 (an astounding 344% increase since 2015).
More and more companies are adopting these technologies and the demand for Machine learning Engineer is only going to go higher.

Global On–Job Training and Internship Program

Starting In May

120 Days

Remote Learning

Enroll For Course

INR 25000.00

* Discounts Applicable


In this module, we will explain why machine learning has become so popular and discuss what kinds of problems can be solved using machine learning. Then, we will show you how to build your first machine learning model, introducing important concepts along the way.

Supervised machine learning is one of the most commonly used and successful types of machine learning. In this module, we will describe supervised learning in more detail and explain several popular supervised learning algorithms.

Unsupervised learning subsumes all kinds of machine learning where there is no known output, no teacher to instruct the learning algorithm. In unsupervised learning, the learning algorithm is just shown the input data and asked to extract knowledge from this data. We will look into two kinds of unsupervised learning in this module: transformations of the dataset and clustering.

In this module, we will first go over the important and very common case of categorical features, and then give some examples of helpful transformations for specific combinations of features and models.

In this module, we will focus on the supervised methods, regression and classification, as evaluating and selecting models in unsupervised learning is often a very qualitative process.

In this module, we will cover how to use the Pipeline class to simplify the process of building chains of transformations and models. In particular, we will see how we can combine Pipeline and GridSearchCV to search over parameters for all processing steps at once.

Text data is usually represented as strings, made up of characters. In any of the examples just given, the length of the text data will vary. This feature is clearly very different from the numeric features that we’ve discussed so far, and we will need to process the data before we can apply our machine learning algorithms to it. In this module, we will learn about representing text data for machine learning.

You now know how to apply the important machine learning algorithms for supervised and unsupervised learning, which allow you to solve a wide variety of machine learning problems. There are numerous possibilities that machine learning offers. In this module, we will discuss about some additional resources and suggestions on how you can further improve your machine learning and data science skills.

Be future Ready, Start Learning

Structure your learning and get a certificate to prove it.

Course details

University of Emerging Technologies’ Machine Learning with Python Global On-Job Training and Internship has four phases:
1. 50 hours of live online training by industry experts

2. Test your knowledge through quizzes & module tests. Get course completion certificate

3. Get hands-on practice by working on Industry projects. Use our live labs for implementation.

4. Get Internship Certificate by The Emerging tech Foundation on successful project completion

University of Emerging Technologies’ Machine Learning with Python Global On-Job Training and Internship is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. You will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the training, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience. After your training completion, you will get hands-on practice by working on Industry projects. 

University of Emerging Technologies provides you with Role based education, experiential learning, live classes, 24*7 live labs and live support, personalized machines, real life projects, industry oriented, job focused content along with career prep support. 

University of Emerging Technologies’ Machine Learning with Python Global On-Job Training and Internship is a good fit for the below professionals: Developers aspiring to be a ‘Machine Learning Engineer', Analytics Managers who are leading a team of analysts, Business Analysts who want to understand Machine Learning (ML) Techniques, Information Architects who want to gain expertise in Predictive Analytics, 'Python' professionals who want to design automatic predictive models, Freshers/students who want to build their career in Artificial Intelligence by learning and implementing these skills in the internship. 

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This training exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This training imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

After completing this Machine Learning with Python Global On-Job Training + Internship Program, you should be able to: Gain insight into the 'Roles' played by a Machine Learning Engineer, Automate data analysis using python, Describe Machine Learning, Work with real-time data, Learn tools and techniques for predictive modeling, Discuss Machine Learning algorithms and their implementation, Validate Machine Learning algorithms, Explain Time Series and its related concepts, Gain expertise to handle business in future, living the present.

Development experience with Python and Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R is not necessary but provides an added benefit.

Machine Learning with Python Course Completion Certificate

University of Emerging Technologies' Machine Learning with Python Course Completion Certificate is awarded by The Emerging Tech Foundation, an Independent Not-for profit organisation globally recognised for the emerging technologies.

Machine Learning with Python Internship Certificate

Get hands-on practice by working on Industry projects. Use our live labs for implementation. Get Internship Certificate by our industry partners on successful project completion


You will be working on the virtual live lab environment that we provide which will give you access to all the tools and softwares required for this particular training. The stepwise guide for accessing these services will be available in the LMS and the University of Emerging Technologies support team will assist you 24*7 in case you have any doubts.

The training includes eight assignment projects which will hone your skills as per current industry standards and prepare you for your future career needs. The 2 industry-based certification projects will test your ability to work with real-world data set. 

In this program, you will learn about scenario-based examples and have hands-on experience to be able to utilize the tools and prompts.

Any computer with standard Windows and or Mac with at least 2 GB RAM and a Core-I3 processor.


The total duration of this program is 120 hours divided over a period of 7-8 weeks. Out of 120 hours, 50-60 hours are dedicated to online training sessions by our industry experts and the remaining tenure of the program will be dedicated to the internship experience by working on real-life industry-focused projects.

Using your LMS, you will always have access to the recorded sessions. And you can also make a special request to attend the live session in some other batch (on the basis of availability).

Virtual Lab is a cloud-based environment where you can execute all your practicals and assignments, work on real-life projects effortlessly. Using these virtual labs, students can avail the various tools for learning, including additional resources and environment for the course. This will save students from all the hassle of downloading and maintaining these softwares in their own machine. You’ll be able to access the virtual lab via your browser which requires minimum hardware configurations. If you are stuck somewhere, our support team is available 24*7 to help you out.

All the details to access virtual labs are available on you LMS.

You can interact with the educator during the class using the chat feature.

We provide live support to all our students via live chat feature and email. Our academic enablers are always available to help you throughout the training.

Yes, you can interact with other students enrolled in the same program using the forum where you can discuss about the class and the training material. In case you want to interact with students enrolled in some other programs, you can do that using the common forum available for all. University of Emerging Technologies believes in community building and social learning by connecting learners to each other so that they can discuss concepts, work on projects, solve problems and share innovative ideas.

Yes, we have group projects so that students can engage with each other and share ideas.

Yes, the training material is accessible to the students even after the program is over in the form of PDF documents.

Yes, you will get assistance for job interviews. We have a dedicated team for career guidance and counselling.

Enrollment is a commitment between you and us in which you promise to be a successful learner and we promise to provide you with the best possible learning environment. Our sessions consist of online interactive live classes, live labs and 24*7 live support along with career prep support. Enroll with us and experience the complete learning environment instead of just a demo session.

The UET's Super Intern certificate will only be given to learners who complete the project within the set timeline, help other learners and work with them as a team, and come up with innovative ideas during the development of the product.