Most popular
Free
Machine Learning Engineering AWS Bootcamp
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.
Free
Robotics Software Engineer Bootcamp
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
AI Programming with Python Bootcamp
What you'll learn
Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).
Trending
Free
Machine Learning Engineering AWS Bootcamp
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.
Free
Robotics Software Engineer Bootcamp
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
AI Programming with Python Bootcamp
What you'll learn
Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).
Popular Instructors
All School of Artificial Intelligence Courses
Free
Natural Language Processing Specialization Bootcamp
This program will enhance learners’ existing machine learning and deep …
Free
AI Programming with Python Bootcamp
Certificate To share in LinkedIn You can share your Certificates …
What you'll learn
Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).
Free
Edge AI for IoT Developers Specialization Bootcamp
Learn more about this Bootcamp Lead the development of cutting-edge …
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
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.
