Machine Learning Course Training in Gurgaon

There is no prerequisite to join this course. However, basic knowledge of programming concepts is an additional benefit.

Though there are many online courses available online but we at Gyansetu understand that teaching any course is not difficult but to make someone job-ready is the most important task. This is the reason we have our course curriculum designed and delivered by industry experts along with capstone industry ready projects which will drive your learning through real-time IT industry scenarios and help in clearing interviews.

This course provides you with skills that are needed to work on machine learning in real life. You will learn how to write Python code and preprocess data, as well as evaluate and develop your own algorithms, and deploy them using NumPy, Pandas, Scikit-learn, and other tools. You will use your learning in live industry projects to make sure you are job-ready in data analysis, ML engineering and AI.

Our trainers are the best in MNCs and they mentor, clear doubts and guide in careers.

To know more about pricing, EMI options, or any available discount call 9999201478.

The total duration of the Machine Learning in Python Certification course is 320 hours (160 Hours of live Instructor-Led training and 160 hours of self-paced learning).

Our Python Machine Learning training course is flexible with learning tracks so that it fits your time and career objectives. In case you would prefer weekdays, you may enroll in classes Tuesday to Friday 2-3 hours a day and 4 months. Working professionals or weekend learners have a choice of a weekend batch which is on the weekend, Saturday and Sunday, 3 to 4 hours daily and spread over 5 months. In case you are interested in fast-tracking your career, we also offer a very intensive 30-day course that consists of 6 hours of training per day. All modes can be offered in a classroom and online setting. At the conclusion of any selected track, you will be all ready and prepared with skills that can be applied to work in a job-ready machine learning capacity and will be able to apply with the confidence to work in machine learning and data positions in any industry.

We have seen getting a relevant interview call is not a big challenge in your case. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. We help you prepare your CV by adding relevant projects and skills once 80% of the course is completed. Our placement team will update your profile on Job Portals, this increases relevant interview calls by 5x.

Interview selection depends on your knowledge and learning. As per the past trend, the initial 5 interviews are a learning experience of :-

• What type of technical questions are asked in interviews
• What are their expectations?
• How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

We have seen getting a technical interview call is a challenge at times. Most of the time you receive sales job calls/ backend job calls/ BPO job calls. No Worries!!

Our Placement team will prepare your CV in such a way that you will have a good number of technical interview calls. We will provide you with interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. Our placement team will update your profile on Job Portals, this increases relevant interview call by 3x.

Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews are a learning experience of –

• What type of technical questions are asked in interviews
• What are their expectations?
• How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get a job after appearing in 6-7 interviews.

We have seen getting a technical interview call is hardly possible. Gyansetu provides internship opportunities to the non-working students, so they have some industry exposure before they appear in interviews. Internship experience adds a lot of value to your CV and our placement team will prepare your CV in such a way that you will have a good number of interview calls. We will provide you with interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training and we will update your profile on Job Portals, this increases relevant interview call by 3x.

Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews are a learning experience of :-

• What type of technical questions are asked in interviews
• What are their expectations?
• How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

Yes, a 1:1 faculty discussion and demo session will be provided before admission. We understand the importance of trust between you and the trainer. We will be happy if you resolve all your queries before you start classes with us.

We understand the importance of every session. Session’s recording will be shared with you and in case of any query, faculty will give you extra time to answer your queries.

Yes, we understand that self-learning is most crucial and for the same we provide students with PPTs, PDFs, class recordings, lab sessions, etc., so that a student can get a good handle of these topics.

We provide an option to retake the course within 3 months from the completion of your course, so that you get more time to learn the concepts and do the best in your interviews.

We believe in the concept that having less students is the best way to pay attention to each student individually and for the same our batch size varies between 5-10 people.

Yes, we have batches available on weekends. We understand many students are in jobs and it’s difficult to take time for training on weekdays. Batch timings need to be checked with our counsellors on +91-9999201478.

Yes, we have batches available on weekdays but in limited time slots. Since most of our trainers are working, the batches are available in morning hours or in the evening hours. You need to contact our counsellors to know more about this on +91-9999201478.

You don’t need to pay anyone for software installation, our faculties will provide you with all the required software’s and will assist you in the complete installation process.

Our faculties will help you in resolving your queries during and after the course.

Although other tools exist, Python is the most popular language in the Machine Learning sector. It is convenient to use and has strong libraries, which is why it is important to ML professionals. The course offered by Gyansetu means that one does not have to know anything about Python as it teaches it to the beginners.

These positions are Machine Learning Engineer, Data Analyst, AI Specialist, and Automation Analyst, which you can apply to after certification. Students who have completed the course have been able to get employment in major firms such as Infosys, Paytm, and Accenture.

Absolutely. This course is entry level. We start with Python, and slowly transition into ML concepts and tools. You need not have a technical background to learn here as our systematic curriculum and live mentorship will guide you to a successful career.

Well, Python is the most suggested and commonly used program language in Machine Learning. It is easy, has immense library support (such as Scikit-learn, Pandas, TensorFlow) and community support. This is why our Machine Learning course at Gyansetu is constructed on the basis of Python to ensure that the learning process is easier and more applicable to the industry.

You will be provided with practical experience with industry-relevant tools including:

• Python
• Scikit-learn
• Pandas
• NumPy
• Matplotlib
• Jupyter Notebook

These are some of the fundamental tools employed by such companies as Netflix, Spotify, and Google.