Learn OpenClaw installation, tools, skills, cloud deployment, and build powerful AI agent automation workflows
InstructorAnkit Mistry : 266,000+ StudentsInstruction covers local Windows installation, Ubuntu via WSL, and remote Google Cloud Compute Engine setups.
The curriculum includes modules for defining agent personality, identity traits, and a Markdown-based memory system.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
A screenshot of the OpenClaw GitHub repository showing the project's file structure, recent commits, and metadata like stars and forks.
This slide outlines the core features of OpenClaw, highlighting technical capabilities such as shell execution, browser control, email integration, and persistent memory.
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One signal suggests the content focuses heavily on history and setup, lacking consistent practical use cases or project development. Note that these reviews were posted before the displayed update date, which does not prove a correction has been made.
One sampled review suggests that the absence of captions can make instruction difficult to follow, particularly in later sections. Note that these reviews were posted before the displayed update date, which does not prove a correction has been made.
The curriculum aligns with the target audience's need for installation, though some signals suggest a heavy Windows-centric focus.