Intro to Machine Learning with PyTorch

Build your career in the machine learning domain with this Intro to machine learning with PyTorch course online and develop your skills in this highly demanded technology. Learn fundamental techniques of machine learning with PyTorch at Hatigen and get hands-on experience by dealing with real-time projects. Adding to this, our expert team of trainers will help you to build machine learning models with the best deep learning framework – PyTorch.

ENROLL NOW

Machine Learning with PyTorch Course – Overview

With a basic understanding and intermediate knowledge of python programming, join this Intro to machine learning with PyTorch course online. In this course period, enhance your skills in machine learning concepts, foundational machine learning algorithms, unsupervised, and supervised models, etc. Furthermore, our expert mentors at Hatigen will train you to build machine learning models with PyTorch and help you to acquire job-ready skills.

Intro to Machine Learning with PyTorch Course – Key Features

  • Trusted content.
  • Re-learn for free anytime in a year.
  • Rigorous assignments and assessments.
  • Learn at your own pace.
  • Mandatory feedback sessions.
  • Mock-interviews.
  • Hands-on real-time experience.
  • Free mentorship.
  • Live chat for instant solutions.
  • Job ready employees post-training.
  • End-to-end training.
  • Download the certificate after the course.
ML with PyTorch – Skills Covered: Supervised learning. Unsupervised learning. Deep learning. Data manipulation. Machine learning techniques. PyTorch

PyTorch Machine Learning Course Online – Benefits

In this Intro to Machine Learning Course with PyTorch, you will learn the foundational concepts of machine learning in the PyTorch framework. As this is the most expanding and highly demanded technology, you will be on the perfect path through which you can achieve your dream career.

Designation
Annual Salary
Hiring Companies
Job Wise Benefits
Designation
Machine Learning Engineer

UK
Hiring Companies

Machine Learning with PyTorch Course – Training Options

Self-Paced Learning

£ 1200

  • 1-year access to the ML with PyTorch course content.
  • 1 capstone project.
  • Multiple assessments.
  • Continuous feedback sessions.
  • Access to the class recordings.
  • Assistance and support.
  • Download certification.
  • Free mentorship.

Online Boot Camp

£ 1000

  • Everything in Self-paced learning +
  • On-spot doubt clarification.
  • Interactive training sessions.
  • Sessions on the capstone project.
  • Live, online classroom training.
  • Mock-interviews.

Corporate Training

Customized to your team’s needs

  • 1-year access to the ML with PyTorch course content.
  • 1 capstone project.
  • Multiple assessments.
  • Continuous feedback sessions.
  • Class recordings.
  • Assistance and support.
  • Certification after the course.

PyTorch Machine Learning – Curriculum

Eligibility

Engineering graduates and software employees who want to make a career in the machine learning domain are eligible for this course. Adding to this, python programmers, and software developers who want to make a career switch or expand their career in machine learning can join this Intro to machine learning with PyTorch course online.

Pre-requisites

Before you join this course, it is essential to have a basic knowledge of python programming, mathematical statistics, and probability. In addition to this, you should also know the usage methods of Jupyter Notebooks.

Intro to Machine Learning with PyTorch Course Online – FAQs

Machine learning is the most highly demanded domain in this automated high-tech world. With the increasing job opportunities in the machine learning and artificial intelligence field, if you are planning to switch or make your career in this domain, you can learn PyTorch machine learning at Hatigen. This Intro to machine learning with PyTorch course is the best way to enhance your skills in machine learning.

In both the machine learning courses, you will start with the sci-kit-learn machine learning library. However, when you enter into the deep learning sections, then you will learn to develop machine learning models in that specific framework. Therefore, you will learn the same machine learning concepts, and develop the same machine learning models and projects in both the courses, but in different frameworks.

No, each course at Hatigen is independent of the other courses. For any course, you can just check the pre-requisites of the course and enroll if you meet the desired basic knowledge requirements. However, our every course curriculum is designed right from the basics so that even a beginner can get the pace of learning.

Reviews