We may earn an affiliate commission when you visit our partners.
Course image
AWS Instructor

In this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machine learning operations (MLOps) in streamlining the development and deployment of your machine learning projects.

Enroll now

Two deals to help you save

What's inside

Syllabus

Developing Machine Learning Solutions

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides a solid foundation for learners looking to enter the field of machine learning
Offers a comprehensive overview of the machine learning lifecycle, empowering learners to navigate the entire process
Leverages AWS services, providing learners with hands-on experience using industry-standard tools
Emphasizes MLOps best practices, equipping learners to effectively deploy and manage machine learning projects
Teaches diverse model evaluation techniques, fostering a critical understanding of model performance

Save this course

Save Developing Machine Learning Solutions to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Developing Machine Learning Solutions with these activities:
Review linear algebra and calculus
Having a strong foundation in linear algebra and calculus will make it easier to understand machine learning concepts.
Browse courses on Linear Algebra
Show steps
  • Review your notes from previous courses or textbooks
  • Work through practice problems to test your understanding
Attend the 'Machine Learning Meetup' in your city
Networking with other machine learning professionals can help you learn about new opportunities and trends.
Browse courses on Machine Learning
Show steps
  • Find a machine learning meetup in your area
  • Attend the meetup and introduce yourself to other attendees
Form a study group with other students in the course
Studying with peers can help you understand the material better and stay motivated.
Browse courses on Machine Learning
Show steps
  • Find other students in your course who are interested in forming a study group
  • Meet regularly to discuss the course material and work on assignments together
Five other activities
Expand to see all activities and additional details
Show all eight activities
Review 'Machine Learning: A Probabilistic Perspective' by Kevin Murphy
Reviewing this foundational book can help provide a deeper understanding of probabilistic machine learning concepts.
Show steps
  • Read chapters 1-3 to gain an introduction to probabilistic machine learning
  • Work through the exercises in chapter 4 to practice applying the concepts
Follow the 'Machine Learning Specialization' on Coursera
This specialization will provide a comprehensive overview of machine learning concepts and techniques.
Browse courses on Machine Learning
Show steps
  • Complete the four courses in the specialization
  • Participate in the discussion forums to ask questions and share your insights
Complete the 'Machine Learning Practice Problems' by Sebastian Raschka
This book provides a comprehensive set of practice problems to help you master machine learning algorithms.
Browse courses on Machine Learning
Show steps
  • Solve at least 20 problems from each chapter
  • Focus on understanding the underlying concepts rather than just memorizing solutions
Build a machine learning model to predict customer churn
This project will give you hands-on experience in applying machine learning to a real-world problem.
Browse courses on Machine Learning
Show steps
  • Collect and prepare the data
  • Train and evaluate different machine learning models
  • Deploy the model and track its performance
Create a blog post or presentation on a machine learning project
This assignment will help you synthesize your knowledge and improve your communication skills.
Browse courses on Machine Learning
Show steps
  • Choose a machine learning project that you have worked on
  • Write a blog post or create a presentation that describes the project, the techniques you used, and the results you achieved

Career center

Learners who complete Developing Machine Learning Solutions will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Developing Machine Learning Solutions.
Microsoft Azure Machine Learning for Data Scientists
Introduction to Applied Machine Learning
Preparing Data for Feature Engineering and Machine...
Build and Operate Machine Learning Solutions with Azure
Perform data science with Azure Databricks
Machine Learning Introduction for Everyone
Machine Learning with Splunk
Developing Models in Microsoft Azure
Introduction to Machine Learning with Python
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser