Free
Data Scientist Specialization Bootcamp
3 months program The Data Scientist Nanodegree program is an …
What you'll learn
By the end of the program, you’ll have an impressive portfolio of real-world projects, and valuable hands-on experience. You’ll also receive career support via profile and portfolios reviews to help make sure you’re ready to establish a successful data science career, and land a job you love.
Free
Bootcamp Business Data Analytics Specialization
3 months program This program is an excellent program for …
What you'll learn
This Nanodegree program is well-suited for those those looking to apply data skills in their current roles. It is also a great first step on a journey to becoming a data analyst or data scientist. We have more courses that will pick up from where this course leaves off to help you become ready for a career in data science.
Free
Robotics Software Engineer Bootcamp
Learn more about this Bootcamp Certificate To share in LinkedIn …
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
Bootcamp Data Engineer Specialization
Learn more about this Bootcamp The data engineering field is …
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
Machine Learning Engineering AWS Bootcamp
Learn more about this Bootcamp Strengthen your Machine Learning skills …
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.
- 1
- 2
