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Free

Mastering Autonomous Mobile Robots with ROS 2 Bootcamp

385 Lessons
Intermediate

Mastering Autonomous Mobile Robots with ROS 2 Build, Program, and …

What you'll learn
Dual-Language Mastery: All lessons are taught in both Python and C++. Choose your favorite or master both to become a versatile developer.
Autonomous Navigation: Dive deep into the math and logic behind Localization, Mapping, and SLAM (Simultaneous Localization and Mapping).
Zero Hardware Barriers: While we focus on real robots, you can complete the entire course using high-fidelity PC simulations. No expensive hardware is required to start!
Free

Large Language Models (LLMs)

143 Lessons
Intermediate

This course will teach you the essentials of how Large …

Free

Docker & Kubernetes

263 Lessons
Intermediate

This bootcamp is your gateway to mastering two of the …

Free

Robotics Developer Course – ROS2 In C++

46 Lessons
Intermediate

This course provides a comprehensive introduction to the Robot Operating …

Free
IoT

Microcontrollers, IOT, AI Bootcamp

185 Lessons
Intermediate

Join our comprehensive Embedded Systems Bootcamp and gain essential skills …

Free

Cloud DevOps AWS Bootcamp

436 Lessons
Intermediate

Learn more about this Bootcamp This program is designed to …

What you'll learn
This program is designed to prepare people to become devops engineers.
This includes job titles such as DevOps Engineer, Reliability Engineer, Release Manager, and more.
Obtaining the skills required to be a DevOps will make you extremely valuable across many industries, and in many roles.
As a graduate of this program, you’ll be prepared to seek out roles that run the gamut from generalist to specialist, and all points in between.
Free

Natural Language Processing Bootcamp

385 Lessons
Intermediate

This program will enhance learners’ existing machine learning and deep …

Free

AI Programming with Python Bootcamp

465 Lessons
Intermediate

Start using AI techniques and developing skills related to programming, …

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).
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