OpenClaw AI Framework
Autonomous Agent Operations Training
Build, coordinate, and deploy autonomous AI agents with OpenClaw. Learn how to manage tools, memory, workflows, governance, and production-grade operations end to end.
24 Hours
Duration
2,500+
Students
4.9/5.0
Rating
Certificate
Included
Course Overview
What You'll Master
Prerequisites
- Basic understanding of AI workflows and APIs
- Familiarity with prompt-based systems
- Comfortable with building and testing applications
- No prior autonomous agent experience required
Career Outcomes
Our graduates are prepared to design and manage agentic systems in roles such as:
What's Included:
Course Curriculum
Module 1: Foundations
- What is OpenClaw and how it differs from chatbots
- Install OpenClaw on macOS, Linux, and WSL
- Understanding Workspace and Agent Structure
- Verify Agent Execution using the CLI or UI
Module 2: Practical Automation
- OpenClaw Skills: How Agents Gain Abilities
- Running Your First Real Skill for a System Healthcheck
- Build Structured Automation Workflows
- Control Tool Execution and Conversation Flow
- Build Your First End-to-End Automation System
Module 3: Communication Automation
- Understanding Channels in OpenClaw
- WhatsApp Automation Agent
- Slack Automation Agent
- Telegram Agent Setup and Multi-Channel Design
Module 4: Developer Automation
- GitHub CLI Integration and Workflows
- GitHub PR Review Agent
- Coding Agent Workflows: Scanning and Fixes
- Project Maintenance Automation and Daily Pipelines
Module 5: Advanced Design and Safety
- Permissions, Risk Control, and Shell Restrictions
- Prompt Injection and Agent Risks
- Agent Memory and Process Context Management
- Monitoring, Debugging, and Production Deployment
Module 6: Capstone Projects
- Build a Personal AI Operations Assistant
- Automated Developer Workspace Manager
- AI Team Operations Bot for Slack and GitHub
- Autonomous Web Research Assistant
Portfolio Outcomes You'll Build:
Trainers
Gautam Singh
GenAI Developer, Thinkverse Lab Pvt. Ltd
Gautam Singh is a GenAI Developer at Thinkverse Lab Pvt. Ltd. with over 2 years of experience in building and deploying generative AI solutions. He specializes in LLM orchestration, prompt engineering, and integrating AI into production environments. At Thinkverse Lab, he has been instrumental in developing scalable AI frameworks and optimizing model performance for business applications.
Expertise:
Achievements:
- 2+ years of experience in GenAI solutions
- Developed scalable AI frameworks at Thinkverse
Mahesh Chand
Founder, C# Corner
Mahesh Chand is an architect based in Philadelphia, Pennsylvania. He is the Microsoft Regional Director, founder of C# Corner, and CEO of Mindcracker Inc. At Mindcracker Inc., he advises technical teams on building better software through architecture, design, usability, innovation, and mentoring. His expertise includes C#/.NET, UWP, Mixed-Reality, AI/ML, Cloud, Startups, and Innovation. As the founder of C# Corner, he enjoys developing new features to help developers improve their coding skills. He loves philosophy, cognitive studies, community work, public speaking, writing, basketball, and the Philadelphia Eagles.
Expertise:
Leadership:
- Microsoft Regional Director
- CEO of Mindcracker Inc.
- Founder of C# Corner