OpenClaw Masterclass: Install, Build & Deploy Real AI Agents
What you'll learn
- Understand what OpenClaw is and how AI agent systems work
- Learn the architecture of OpenClaw and how its components interact
- Explore OpenClaw vs other AI assistants and agent frameworks
- Understand the 25 built-in tools available in OpenClaw
- Learn how 53 bundled skills enable automation and AI capabilities
- Install OpenClaw using multiple setup methods
- Deploy OpenClaw with one-click cloud deployment
- Install and run OpenClaw locally on Windows
- Install OpenClaw on Ubuntu using Windows WSL
- Create and configure your OpenAI API key for OpenClaw
- Learn the OpenClaw onboarding workflow
- Navigate and use the OpenClaw graphical interface
- Work with the OpenClaw Terminal User Interface (TUI)
- Understand and modify openclaw.json configuration
- Use OpenClaw documentation effectively
- Troubleshoot common installation issues
- Deploy OpenClaw on a Google Cloud Linux VM
- Connect securely to servers using SSH
- Set up OpenClaw server environments
- Run automation workflows like file creation, scheduling jobs, and web summarization
Requirements
- Basic computer usage skills
- A Windows computer (Windows 10 or Windows 11 recommended)
- Internet connection
- Ability to install software on your machine
- OpenAI API key (we will create it step-by-step in the course)
- Basic understanding of terminal or command line
- Basic knowledge of cloud platforms
Description
AI agents are transforming how we build automation, intelligent assistants, and developer tools.
OpenClaw is one of the most powerful open-source AI agent frameworks that allows you to build intelligent systems capable of performing real tasks using tools, skills, and automation workflows.
In this course, you will learn how OpenClaw works, how to install it, and how to run your own AI agent environment.
We start with the fundamentals of OpenClaw, including its architecture, built-in tools, and bundled skills that power AI automation.
You will then learn multiple ways to install OpenClaw, so you can choose the setup that works best for your environment.
The course covers:
One-click OpenClaw cloud deployment
Local installation on Windows
Ubuntu installation using Windows WSL
Optional Google Cloud VM deployment
Once OpenClaw is installed, we explore the platform in depth, including:
OpenClaw onboarding
User interface exploration
Terminal User Interface (TUI)
Configuration using openclaw.json
Documentation walkthrough
Troubleshooting installation issues
You will also learn how to run AI agents, automate tasks, and perform real operations like file creation, scheduling jobs, and web summarization.
By the end of this course, you will be able to:
Install OpenClaw in different environments
Configure OpenClaw with API keys and settings
Understand OpenClaw tools and skills
Run and interact with AI agents
Deploy OpenClaw in local or cloud environments
If you want to learn how modern AI agents work and start building with OpenClaw, this course will give you the complete foundation.
Who this course is for:
- Developers interested in AI agents and automation
- Engineers who want to experiment with OpenClaw
- AI enthusiasts exploring next-generation AI assistants
- Students who want to learn AI agent architecture
- Professionals interested in AI automation workflows
- Anyone who wants to deploy and run OpenClaw locally or in the cloud
Instructors
I am Ankit Mistry, with a Master’s degree from IIT Kharagpur specializing in Machine Learning and Artificial Intelligence. I bring over 8 years of industry experience as a Software Developer in a leading private investment bank, along with deep expertise in AI, automation, and cloud technologies.
Over time, I transitioned into full-time teaching, where I focus on practical, real-world skills in AI and cloud computing. My courses are designed to be highly hands-on, helping learners build real projects rather than just understanding theory.
I specialize in teaching:
- AI tools like Claude, Generative AI, and AI Agents
- Automation workflows and real-world AI applications
- Cloud platforms including Azure, and Google Cloud
- Data analysis and machine learning
My latest courses focus on cutting-edge topics like Claude AI, AI automation, and building intelligent agents, ensuring you stay ahead in the rapidly evolving AI landscape.
With over 200,000+ students and thousands of reviews, my goal is to help you gain practical skills that directly impact your career.
This is Data Science & Machine Learning academy by Ankit Mistry. Main aim is to help software engineer for analysis of data by teaching various latest trending technological skills like python, Machine Learning, data Science, R, Big-Data, Numpy, Pandas.
Keep Learning.
I Hope you like course we offer.
Happy Learning
Regards
Data Science & Machine Learning Academy by Ankit Mistry
Dear Data lovers,
Thank you for taking the time to read this message.
My name is Ajay Gadhave, I am passionate about Cloud Computing, Data Engineering and Machine Learning.
My love to teach various subjects like Data Engineering, Cloud Computing, Machine Learning, Python programming, and Data Science.
I trust that you will find value in my course, and I am confident it will contribute to your professional growth.
Best regards,
Ajay Gadhave