Machine Learning - IOT Internship


Machine Learning and IOT are among the fastest growing fields in the world today and a Machine Learning - IOT Internship opens hitherto unknown opportunities for the participants.

This is what you will get from the AICTE endorsed Machine Learning - IOT Internship - A Chance to Transform your Career.

Duration: 6 weeks
Mode: Online
Endorsed by
Software & Training Partner

Free Internship + Crash Course

Along with your internship get a quick 6 hour crash course to get you up to speed on machine learning and python to do the internship.

  • Access to the free internship
  • Access to Jupyter Environment
  • Online Interview at the end of 6weeks
  • Acknowledgement of completion of internship through mail
  • Learning Videos
  • Physical Certificate (jointly issued by Intel and CL)
Rs. 4,999 Enroll Now!

Introduction to ML internships

Internship Variants

Certification

Endorsed by
Software & Training Partner

 

This internship is endorsed and co-certified by AICTE for all technical colleges in India. Intel® is our software and hardware partner for all of our data science programs.

What is IoT Internship?

Internet of Things (IoT) is the networking of physical objects that contain electronics embedded within their architecture in order to communicate and sense interactions amongst each other or with respect to the external environment.

Future of IoT Internship

In the upcoming years, IoT-based technology will offer advanced levels of services and practically change the way people lead their daily lives. Advancements in medicine, power, gene therapies, agriculture, smart cities, and smart homes are just a very few of the categorical examples where IoT is strongly established.

What is IoT Internship offered by Career Launcher?

This internship provides you an opportunity to predict the event you are performing using readings recorded by accelerometer. Isn’t it amazing? Prediction comes somewhere from machine learning and the leftover work is of your coding skills. So this internship sharpens your machine learning skills as well as it tests your coding skills.

Why IoT?

IoT provides businesses with a real-time look into how their companies' systems really work, delivering insights into everything from the performance of machines to supply chain and logistics operations. IoT enables companies to automate processes and reduce labor costs.

Applications of IoT:

  • Wearable
  • Smart Home applications
  • Health Care
  • Smart Cities
  • Agriculture
  • Industrial Automation

Programming Language & Tools

You will have to do programming in Python and use basic machine learning libraries from Scikit-Learn (e.g., Pandas, Matplotlib, Seaborn etc) and for advanced machine learning libraries you will learn pickle,itertools etc .You will implement machine learning algorithms like KNN.

Eligibility & Application Process

Eligibility

The Machine Learning Internship is meant for students who have a background, or are keen to learn, a programming language and solve business problems using AI/ML. It is ideal for students of Engineering (any discipline), BCA, MCA. It can also be pursued by BSc., BCom., BA, BBA and MBA. It can be done in any year of graduation.

Application Process

Applying for the machine learning internship is a breeze. Just follow the simple steps give below to get started on your machine learning journey.

  • Register yourself by filling the form at the top of this page
  • Select an internship problem
  • Begin!

FAQ

The Machine Learning internship begins as soon as you enroll for it. You will get the login credentials of the dashboard. In this dashboard, you can view all the learning resources and the assignments, week-wise.

The internship can be completed in 8-weeks or in an even lesser duration. Once you submit your assignments, you would have completed the internship projects and your interview would get scheduled shortly after that. While it can be started on any date, college goers should look at doing this internship during their vacations.

Yes, all your weekly assignments will be checked by our panel of data science experts. Feedback will also be shared with you in case your assignment is not up to the expectation level.

You can ask your questions to our team of machine learning experts who will mentor you during this internship. All you need to do is write in a mail at analytics@careerlauncher.com.

The biggest and the most important point of difference is that this is an internship while those are courses. The biggest reasons why most students don’t get the desired outcome out of the other courses is that those courses are only hours and hours of videos. In this internship, you code each week and, therefore, get the hands-on experience.

Just like any other internship, this internship brings to you an opportunity to learn things that are relevant to the industry. If you learn from this internship, you will be better that most job-seekers and therefore, finding a job should not be a challenge.

Dates and Duration of Machine Learning Internship

This is an online Machine Learning internship and which can be started as per your convenience, but need to be completed in 6 weeks, or even earlier by students who can move at a faster pace. Since it is an Online internship, it can be started on any later date.

List of Modules covered

The modules covered in the Machine Learning Internship cover an end to end Machine Learning Project. This Machine Learning project requires the participant to study on the relevant topics and practically apply it to solve each problem.

  • Module 1 - Exploring and visualizing accelerometer data
  • Module 2 - Feature engineering and converting raw data to features
  • Module 3 - Training and evaluating a machine learning model
  • Module 4 - Running predictions and improving the model

Sneak Peek of Module 1

Plot the wave former view of the given csv file(i.e time versus readings in y direction)

This is just beginning .If you are passionate to learn and experiment your coding skills. This is correct place for you.

Machine Learning Blogs and Resources

Contact Us

Have questions? Our data science team is more than happy to take them:-

Ayush Joshi - ayush.joshi@careerlauncher.com
Mythreya Lingala - mythreya.lingala@careerlauncher.com