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Free
Intermediate

Robotics Software Engineer Bootcamp

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Free

Robotics Software Engineer Bootcamp

5.0/5
(1 rating)
915 Lessons
Intermediate
What you'll learn
The Robotics Software Engineer Nanodegree program focuses on teaching the core robotics skills needed for a successful robotics software engineering career.
The program focuses on Localization, Mapping, SLAM, Path Planning, and Navigation. These are taught using C++ and the Robot Operating System (ROS) framework.
Free
Intermediate

Data Engineer Specialization Bootcamp

Learn more about this Bootcamp The data engineering field is …

Free

Data Engineer Specialization Bootcamp

5.0/5
(1 rating)
434 Lessons
Intermediate
What you'll learn
This program is designed to prepare people to become data engineers. This includes job titles such as analytics engineer, big data engineer, data platform engineer, and others. Data engineering skills are also helpful for adjacent roles, such as data analysts, data scientists, machine learning engineers, or software engineers.
Free
Intermediate

React Developer Specialization

Learn more about this Bootcamp Learning React through this Nanodegree …

Free

React Developer Specialization

195 Lessons
Intermediate
What you'll learn
Graduates of this Nanodegree program will be valuable additions to any team working in the domain of web development, app development, software development, digital marketing, and e commerce. Opportunities exist in companies ranging from Fortune 500 organizations to startups.
Free
Intermediate

Machine Learning Engineering AWS Bootcamp

Learn more about this Bootcamp Strengthen your Machine Learning skills …

Free

Machine Learning Engineering AWS Bootcamp

390 Lessons
Intermediate
What you'll learn
Test Python code and build a Python package of their own.
Build predictive models using a variety of unsupervised and supervised machine learning techniques.
Use Amazon SageMaker to deploy machine learning models to production environments, such as a
web application or piece of hardware..
A/B test two different deployed models and evaluate their performance.
Utilize an API to deploy a model to a website such that it responds to user input, dynamically.
Update a deployed model, in response to changes in the underlying data source.

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