Machine Learning Project Skills you will learn

  • Project Scoping
  • Data Preparation
  • Model Selection and Training
  • Project Management for ML Projects
  • Risk Management

Who should learn this free Machine Learning Project course?

  • Machine Learning Engineer
  • Software Engineer
  • Data Scientist
  • DevOps Engineer
  • Product Manager

What you will learn in this free Machine Learning Project course?

  • Planning a Machine Learning Project

    • Planning a Machine Learning Project

      • Planning a Machine Learning Project

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Why you should learn Machine Learning Project?

$276.5 Billion

Expected size of Global Machine Learning market by 2028.

$166K+ (USA) | INR 10.5LPA

 Average salary of a Machine Learning engineer annually.

Career Opportunities

About the Course

In this Machine Learning Project Plan course, you will explore the machine learning fundamentals and understand its significance and applications in various industries. You will also explore why machine learning has become increasingly important and how it can impact project timelines. A Machine Learning Project Plan Example and case study will give you insights into optimizing processes, accelerating project timelines, and driving innovation. By the end of the course, you will have a solid understanding of the role of machine learning in project management

Read More


  • What is a Machine Learning project?

    Machine Learning project involves creating systems that can learn and improve independently. The goal is to develop algorithms that gather data, find patterns, and make decisions autonomously.

  • What are the main objectives of this free Machine Learning course?

    This free machine learning project plan course aims to introduce you to the Machine Learning basics, provide hands-on experience with popular algorithms, and teach you how to apply Machine Learning in real-world situations.

  • Are there any prerequisites for this Machine Learning course?

    No, there are no prerequisites. The “Planning a Machine Learning Project” course is designed for beginners and those looking to expand their knowledge in Machine Learning.

  • What topics will the course cover about Machine Learning?

    The course covers various topics, including supervised learning, unsupervised learning, neural networks, and model evaluation, giving you a solid foundation in Machine Learning techniques.

  • Is prior experience in data science required for this course?

    No prior experience is needed. This course on planning a machine learning project is beginner-friendly and suitable for anyone interested in learning about Machine Learning.

  • How will the course address the challenges of overfitting and underfitting?

    The course will teach you practical techniques for evaluating and selecting models, discuss methods to prevent overfitting and underfitting, and show you how to optimize model performance.

  • Are group projects included in the course curriculum?

    Yes, you'll work on group projects to apply Machine Learning techniques to real-world problems, fostering teamwork and practical problem-solving skills.

  • What feedback mechanisms are in place for course improvement?

    We undertake the following feedback mechanisms for course improvement:

    • Course Evaluations

    • Focus Groups

    • Observations and Reviews

    • Alumni Feedback

    • Assessment Data

  • What kind of support is available to course participants?

    The Participants can visit the URL to get support from our executives.

  • When can I expect to receive my certificate?

    Upon successful completion of the course, you will be awarded with the course completion certificate powered by AWS from SkillUp. This certificate will be delivered to you via email within 6 hours of course completion.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.