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AWS Machine Learning

Putting Machine Learning in the Hands of Every Developer

Pluralsight LIVE

Join Joe Pringle, AWS for an inside perspective on how to understand machine learning and how to put it to work in your role.

Join Joe Pringle, AWS for an inside perspective on how to understand machine learning and how to put it to work in your role.

This course is no longer available. Find something similar by browsing:
Machine Learning AWS Data Analytics Cloud Services Artificial Intelligence Machine Learning Models Software Development

What's inside

Syllabus

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Read about what's good
what should give you pause
and possible dealbreakers
Focuses on giving every developer machine learning capabilities, which is the industry standard

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Reviews summary

Practical aws ml for developers

According to students, this course is a highly practical and valuable introduction to integrating machine learning with AWS services. Learners consistently praise Joe Pringle's clear and engaging instruction, making complex concepts accessible. The course is particularly beneficial for developers seeking hands-on experience with AWS ML tools, providing a solid foundational understanding rather than deep theoretical dives. It emphasizes practical application, with helpful demonstrations and real-world scenarios. While largely positive, some suggest it's more of an overview, implying intermediate learners might desire more advanced content. Overall, it's considered an excellent starting point for putting ML to work.
More of a broad introduction rather than an in-depth exploration.
"It provides a great overview of AWS Machine Learning, but I wouldn't call it a deep dive into specific algorithms."
"I felt it covered many services superficially; I would have liked more depth on certain topics."
"This is an excellent course for getting a general understanding, but not for becoming an expert in any single area."
Tailored for developers aiming to integrate ML into their applications.
"As a developer, this course directly addressed my needs for integrating ML into my projects."
"It truly puts machine learning in the hands of every developer, just as the title promises."
"I found the content highly relevant to a developer's perspective on using ML services."
Serves as a strong foundational course for AWS machine learning.
"As a developer new to machine learning on AWS, this course provided a perfect starting point."
"I gained a solid understanding of the various AWS ML services and how they fit together."
"It's a fantastic introduction that demystifies AWS Machine Learning and makes it approachable."
Course prioritizes practical application and real-world AWS ML usage.
"This course really helped me grasp how to put machine learning into practice with AWS services."
"The hands-on examples and demonstrations were incredibly useful for understanding real-world implementation."
"I appreciated the practical approach; it wasn't just theory but showed exactly how to use the tools."
Instructor Joe Pringle delivers highly effective and easy-to-follow lectures.
"Joe Pringle is an excellent presenter who simplifies complex concepts into easy-to-understand explanations."
"The instructor's explanations are clear and concise, making the learning experience very enjoyable and effective."
"I found the teaching style incredibly engaging; it kept me focused and absorbed throughout the entire course."

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 AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer with these activities:
Brush Up on Machine Learning (ML) Concepts
Reinforce your understanding of foundational ML principles, making it easier to grasp advanced course concepts.
Browse courses on Machine Learning Fundamentals
Show steps
  • Revisit textbooks or online resources on ML basics.
  • Review key algorithms such as linear regression and decision trees.
  • Practice implementing simple ML models in a coding environment.
Attend Machine Learning Workshops
Expand your knowledge and skills by attending specialized ML workshops conducted by industry experts.
Show steps
  • Research and identify reputable ML workshops aligned with your interests.
  • Register and attend the workshops, actively participating in discussions and exercises.
  • Connect with instructors and fellow attendees to expand your network.
Solve Practice Problems on Machine Learning Algorithms
Sharpen your problem-solving skills and deepen your understanding of ML algorithms.
Browse courses on ML Algorithms
Show steps
  • Find practice problems on platforms like LeetCode or Kaggle.
  • Attempt to solve the problems using the appropriate ML techniques.
  • Analyze your solutions, identify errors, and seek guidance when needed.
One other activity
Expand to see all activities and additional details
Show all four activities
Develop a Machine Learning Project Proposal
Gain hands-on experience by planning and proposing an ML project that solves a real-world problem.
Show steps
  • Identify a problem or opportunity that can be addressed with ML.
  • Research different ML techniques and select the most appropriate ones.
  • Outline the project scope, goals, and expected outcomes.
  • Create a timeline and budget for the project.

Career center

Learners who complete AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
A Machine Learning Engineer builds and maintains machine learning models in order to solve a variety of business problems. Machine Learning Engineers can work in a variety of industries, including finance, healthcare, and manufacturing. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Machine Learning Engineer.
See salaries and explore the career path for Machine Learning Engineer
Data Scientist
A Data Scientist uses data to build models that can predict future outcomes. Data Scientists can work in a variety of industries, including finance, healthcare, and retail. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Data Scientist.
See salaries and explore the career path for Data Scientist
Software Engineer
A Software Engineer designs, develops, and maintains software applications. Software Engineers can work in a variety of industries, including finance, healthcare, and manufacturing. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Software Engineer.
See salaries and explore the career path for Software Engineer
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data and make investment decisions. Quantitative Analysts can work in a variety of financial institutions, including investment banks, hedge funds, and pension funds. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Quantitative Analyst.
See salaries and explore the career path for Quantitative Analyst
Business Analyst
A Business Analyst uses data to understand business problems and develop solutions. Business Analysts can work in a variety of industries, including finance, healthcare, and manufacturing. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Business Analyst.
See salaries and explore the career path for Business Analyst
Product Manager
A Product Manager manages the development and launch of new products. Product Managers can work in a variety of industries, including technology, healthcare, and retail. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Product Manager.
See salaries and explore the career path for Product Manager
Data Engineer
A Data Engineer designs and builds data pipelines to collect, store, and process data. Data Engineers can work in a variety of industries, including finance, healthcare, and manufacturing. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Data Engineer.
See salaries and explore the career path for Data Engineer
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical models to solve business problems. Operations Research Analysts can work in a variety of industries, including finance, healthcare, and manufacturing. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Operations Research Analyst.
See salaries and explore the career path for Operations Research Analyst
Market Researcher
A Market Researcher conducts research to understand market trends and customer needs. Market Researchers can work in a variety of industries, including technology, healthcare, and retail. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Market Researcher.
See salaries and explore the career path for Market Researcher
Financial Analyst
A Financial Analyst analyzes financial data to make investment decisions. Financial Analysts can work in a variety of financial institutions, including investment banks, hedge funds, and pension funds. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Financial Analyst.
See salaries and explore the career path for Financial Analyst
Actuary
An Actuary uses mathematical and statistical models to assess risk and uncertainty. Actuaries can work in a variety of industries, including insurance, finance, and healthcare. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Actuary.
See salaries and explore the career path for Actuary
Statistician
A Statistician collects, analyzes, and interprets data. Statisticians can work in a variety of industries, including finance, healthcare, and manufacturing. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Statistician.
See salaries and explore the career path for Statistician
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. Data Analysts can work in a variety of industries, including finance, healthcare, and manufacturing. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Data Analyst.
See salaries and explore the career path for Data Analyst
Machine Learning Researcher
A Machine Learning Researcher conducts research to develop new machine learning algorithms and techniques. Machine Learning Researchers can work in a variety of settings, including academia, industry, and government. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Machine Learning Researcher.
See salaries and explore the career path for Machine Learning Researcher
Artificial Intelligence Engineer
An Artificial Intelligence Engineer designs and builds artificial intelligence systems. Artificial Intelligence Engineers can work in a variety of industries, including technology, healthcare, and manufacturing. The AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer course can help you build a foundation in machine learning and develop the skills you need to become a successful Artificial Intelligence Engineer.
See salaries and explore the career path for Artificial Intelligence Engineer

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AWS Machine Learning: Putting Machine Learning in the Hands of Every Developer.
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
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Practical guide to machine learning with Python. It covers a wide range of topics, from data preprocessing to model evaluation. It is written in a clear and concise style, and it is packed with practical examples and exercises.
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$
Machine Learning with Python for Everyone
Save
Gentle introduction to machine learning. It covers the basics of machine learning, such as supervised learning, unsupervised learning, and model evaluation. It is written in a clear and concise style, and it is packed with practical examples and exercises.
Machine Learning with Python for Everyone
Paperback
Check
Machine Learning with Python for Everyone
Kindle Edition
Check
Cover image
Probabilistic Machine Learning
Save
Provides a more theoretical treatment of machine learning. It covers topics such as probability theory, Bayesian inference, and optimization. It is written in a clear and concise style, and it is packed with practical examples and exercises.
Probabilistic Machine Learning: Advanced Topics...
Hardcover
$$$$
Cover image
Deep Learning
Save
Comprehensive overview of deep learning. It covers a wide range of topics, from the basics of deep learning to advanced topics such as generative adversarial networks. It is written in a clear and concise style, and it is packed with practical examples and exercises.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Natural Language Processing with Python
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Comprehensive overview of natural language processing with Python. It covers a wide range of topics, from the basics of natural language processing to advanced topics such as machine translation. It is written in a clear and concise style, and it is packed with practical examples and exercises.
Natural Language Processing with Python: Analyzing...
Paperback
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Natural Language Processing with Python: Analyzing...
Kindle Edition
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Computer Vision
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Comprehensive overview of computer vision. It covers a wide range of topics, from the basics of computer vision to advanced topics such as object recognition and image segmentation. It is written in a clear and concise style, and it is packed with practical examples and exercises.
Computer Vision
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Computer Vision
Kindle Edition
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Reinforcement Learning, second edition
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Comprehensive overview of reinforcement learning. It covers a wide range of topics, from the basics of reinforcement learning to advanced topics such as deep reinforcement learning. It is written in a clear and concise style, and it is packed with practical examples and exercises.
Reinforcement Learning, second edition: An...
Hardcover
$$$
Reinforcement Learning, second edition: An...
Kindle Edition
$$$
Cover image
Machine Learning with R
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Comprehensive overview of machine learning with R. It covers a wide range of topics, from the basics of machine learning to advanced topics such as deep learning. It is written in a clear and concise style, and it is packed with practical examples and exercises.
Machine Learning with R - Fourth Edition: Learn...
Paperback
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Machine Learning with R - Second Edition: Expert...
Kindle Edition
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Machine Learning with R - Third Edition: Expert...
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(Italiano) Machine Learning con R: Conoscere le tecniche per...
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R: Unleash Machine Learning Techniques
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Machine Learning with R: Learn How to Use R to...
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(中文) Machine learning and R language (3rd edition of the...
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Machine Learning in Action
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Comprehensive overview of machine learning in action. It covers a wide range of topics, from the basics of machine learning to advanced topics such as deep learning. It is written in a clear and concise style, and it is packed with practical examples and exercises.
Machine Learning in Action
Paperback
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(中文) 机器学习实战 (图灵程序设计丛书 72) (Chinese Edition)
Kindle Edition
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Machine Learning in Action
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Comprehensive overview of machine learning with Java. It covers a wide range of topics, from the basics of machine learning to advanced topics such as deep learning. It is written in a clear and concise style, and it is packed with practical examples and exercises.
Machine Learning in Action
Paperback
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(中文) 机器学习实战 (图灵程序设计丛书 72) (Chinese Edition)
Kindle Edition
$
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AI and Machine Learning for On-Device Development
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Comprehensive overview of machine learning for Android developers. It covers a wide range of topics, from the basics of machine learning to advanced topics such as deep learning. It is written in a clear and concise style, and it is packed with practical examples and exercises.
AI and Machine Learning for On-Device Development:...
Paperback
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AI and Machine Learning for On-Device Development
Kindle Edition
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Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Focuses on giving every developer machine learning capabilities, which is the industry standard
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