# Top Free Courses On Agentic AI, Intelligent Agents & Robotics ⭐

**URL:** <https://onehack.st/t/top-free-courses-on-agentic-ai-intelligent-agents-robotics/307491>\
**Category:** Give-Away and Freebies\
**Tags:** learning, freebies, technology, ai\
**Created:** [June 29, 2025, 2:24am UTC](https://onehack.st/t/top-free-courses-on-agentic-ai-intelligent-agents-robotics/307491 "2025-06-29T02:24:28Z")\
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**Author:** ![Aina](https://onehack.st/user_avatar/onehack.st/aina/32/167469_2.png) [@Aina](https://onehack.st/u/Aina)\
**Post date:** [June 29, 2025, 2:24am UTC](https://onehack.st/t/top-free-courses-on-agentic-ai-intelligent-agents-robotics/307491/1 "2025-06-29T02:24:28Z")

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Top Free Courses on Agentic AI, Intelligent Agents & Robotics ⭐

🔍 **Explore the most comprehensive, 100% free learning resources** available today for mastering **Agentic AI** , **AI agents** , **robotic systems** , and **autonomous decision-making**. Perfect for aspiring AI engineers, robotics developers, and future agent designers— **this is your gateway to elite knowledge**.

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### 🔹 **1. MIT – Self-Driving Cars**

**Link** : [MIT OpenCourseWare](https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-485-optimal-control-and-estimation-spring-2004/)

**Bionic** : Learn how autonomous systems **sense** , **act** , and **plan** in complex environments.

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### 🔹 **2. Stanford – CS221: AI: Principles and Techniques**

**Link** : [Stanford Online](https://web.stanford.edu/class/cs221/)

**Bionic** : Explore **rational agents** , **probabilistic models** , and **reinforcement learning**.

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### 🔹 **3. Harvard – Robotics: Perception**

**Link** : [edX Course](https://pll.harvard.edu/course/robotics-perception)

**Bionic** : Focused on how robots **interpret the world** using **visual data**.

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### 🔹 **4. Columbia – Robotics MicroMasters**

**Link** : [edX MicroMasters](https://www.edx.org/micromasters/columbiax-robotics)

**Bionic** : Modular program covering **mechanical systems** , **AI reasoning** , and **robot control**.

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### 🔹 **5. Google – Reinforcement Learning Specialization**

**Link** : [Coursera](https://www.coursera.org/specializations/reinforcement-learning)

**Bionic** : Core of intelligent agent learning: **rewards** , **policies** , **state-action modeling**.

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### 🔹 **6. DeepMind x UCL – Deep Learning Lectures**

**Link** : [YouTube Series](https://www.youtube.com/playlist?list=PLqYmG7hTraZBiG_XpjnPrSNw-1XQaM_gC)

**Bionic** : Deep neural architectures enabling **agentic behavior and planning**.

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### 🔹 **7. OpenAI – Spinning Up in Deep RL**

**Link** : [OpenAI](https://spinningup.openai.com/en/latest/)

**Bionic** : End-to-end starter kit for **building agents** with **deep reinforcement learning**.

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### 🔹 **8. Carnegie Mellon – Intro to Mobile Robot Programming**

**Link** : [CMU Robotics Academy](https://www.cmu.edu/roboticsacademy/Training/OnlineCourses/intro-mobile-robot-programming.html)

**Bionic** : Mobile robotics with **code-based projects** , **motion logic** , and **sensor integration**.

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### 🔹 **9. Udacity – Intro to Self-Driving Cars**

**Link** : [Udacity](https://www.udacity.com/course/intro-to-self-driving-cars--nd113)

**Bionic** : AI-driven control systems for **navigation** , **vision** , and **localization**.

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### 🔹 **10. Georgia Tech – AI for Robotics (CS373)**

**Link** : [Udacity](https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373)

**Bionic** : Created by Sebastian Thrun; learn **Bayesian techniques** , **SLAM** , and **localization**.

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### 🔹 **11. MIT – Introduction to Deep Learning**

**Link** : [MIT 6.S191](http://introtodeeplearning.com/)

**Bionic** : Real-world implementation of **deep neural networks** and **agent decision structures**.

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### 🔹 **12. NYU – Deep Learning Course by Yann LeCun**

**Link** : [YouTube](https://www.youtube.com/playlist?list=PL1T8fO7ArWlbLNh2lFg7EL0p7pJxT8W9M)

**Bionic** : Learn from a Turing Award winner— **convolutional nets** , **unsupervised learning** , and **AI architectures**.

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### 🔹 **13. University of Washington – Control Systems**

**Link** : [Coursera](https://www.coursera.org/learn/modernrobotics-foundations)

**Bionic** : Essential for building **agentic control models** , **dynamic path tracking** , and **motion prediction**.

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### 🔹 **14. TU Delft – Self-Driving Cars & AI**

**Link** : [edX](https://online-learning.tudelft.nl/courses/self-driving-cars/)

**Bionic** : Covers **perception** , **lane detection** , **path planning** , and **agent mobility logic**.

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### 🔹 **15. Robotics Systems by ETH Zürich**

**Link** : [YouTube Playlist](https://www.youtube.com/playlist?list=PLn0nrSd4xjjY3bfzKXCHiZ3wEK3fvmGfD)

**Bionic** : Focused on **real-time system architecture** , **feedback loops** , and **AI control systems**.

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### 🔹 **16. Robot Learning by UC Berkeley (CS285)**

**Link** : [Course Website](http://rail.eecs.berkeley.edu/deeprlcourse/)

**Bionic** : Covers cutting-edge methods like **meta-RL** , **imitation learning** , and **model-based RL**.

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### 🔹 **17. Interactive Robots with ROS**

**Link** : [Robotics Back-End](https://www.theconstructsim.com/)

**Bionic** : Learn **Robot Operating System (ROS)**—core framework for building **modular AI agents**.

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### 🔹 **18. AI for Everyone by Andrew Ng**

**Link** : [Coursera](https://www.coursera.org/learn/ai-for-everyone)

**Bionic** : High-level overview of AI capabilities, **agent use cases** , and industry deployment.

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### 🔹 **19. Unity – ML-Agents Toolkit**

**Link** : [Unity ML-Agents](https://github.com/Unity-Technologies/ml-agents)

**Bionic** : Create **game-based intelligent agents** with deep learning in **simulated environments**.

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### 🔹 **20. Microsoft – Autonomous Systems Lab**

**Link** : [Microsoft Autonomous Systems](https://www.microsoft.com/en-us/autonomous-systems)

**Bionic** : Advanced tools and tutorials for designing **adaptive agentic systems** for real-world applications.

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🔓 This elite set of **free, high-impact courses** provides everything you need to master **intelligent autonomous systems** , whether you’re building a **robotic arm** , developing an **agent-powered app** , or training **AI agents in simulation**.

Stay ahead of the AI curve— **explore, build, and train smarter systems today**.

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