Machine Learning: Developer
Learn to integrate machine learning and artificial intelligence into tools and applications
This path is designed for builders and software developers. Learn how machine learning (ML) and artificial intelligence (AI) can help you better partner with data scientists to innovate with ML technologies. Then supplement the skills you've learned with optional training.
Learn more about the courses in each learning progression below.
Recommended progressionFollow this recommended sequence of courses and exams to build your AWS Cloud skills in this Learning Path.
ML Building Blocks: Services and Terminology
Clarify the machine learning stack and the terms and processes that will help you build a good foundation in machine learning.
Digital | 40 minutes
Process Model: CRISP-DM on the AWS Stack
Walk through the CRISP-DM methodology and framework and then apply the model's six phases to your daily work.
Digital | 50 minutes
The Elements of Data Science
Learn to build and continuously improve machine learning models by covering problem formulation, exploratory data analysis, feature engineering, model training, tuning and debugging, as well as model evaluation and productionizing.
Digital | 8 hours
Developing Machine Learning Applications
Explore Amazon’s fully managed ML platform, Amazon SageMaker.
Practical Data Science with Amazon SageMaker
Explore real-world use cases with Machine Learning (ML) and using Amazon SageMaker in the new 1-day classroom training course.
Classroom/Virtual Classroom | 1 day
Machine Learning Security
Secure your applications and environments with specific topics detailing NACLs, security groups, AWS identity and access management, and encryption key management.
Digital | 30 minutes
Exam Readiness: AWS Certified Machine Learning – Specialty
Explore the AWS Certified Machine Learning - Specialty exam’s topic areas, see how they relate to machine learning on AWS, and map them to machine learning (ML) and deep learning (DL) foundational areas for future self-study.
Related ML specialty courses
AWS DeepRacer: Driven by Reinforcement Learning
Build, train, and deploy models to develop your core ML skills.
Digital | 90 minutes
Communicating with Chat Bots
Learn how to build smart chat bots with the Communicating with Chat Bots curriculum.
Digital | 3.5 hours
Speaking of: Machine Translation and NLP
These courses explore how machines interact with the human language. Review AWS services that help you with neural networks and natural language processing topics like automatic speech recognition, natural and fluent language translation, and insights and relationships in text.
Digital | 80 minutes
Seeing Clearly: Computer Vision Theory
This curriculum explores how machines achieve understanding of images and videos.
Big Data on AWS
This course introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the AWS big data platform.
Classroom/Virtual | 3 days