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Course Details
Course Details
What You'll Learn
Topic 1: Installing & Setting Up OpenClaw
Introduction to OpenClaw and personal AI assistant architecture
System requirements and installation (local / server setup)
Initial configuration and environment setup
Selecting a model (local vs cloud models, performance considerations)
Selecting communication channels (CLI, web UI, messaging integrations, API)
Understanding OpenClaw skills framework
Hands-on: Install OpenClaw and run first assistant session
Topic 2: Customization, Models & Upgrades
Changing and switching models for different tasks
Optimizing model settings (context size, temperature, memory handling)
Selecting and managing skills
Adding new skills (custom tools, API connections, automation workflows)
Organizing assistant behavior and system prompts
Upgrading OpenClaw safely (version updates, dependency management, migration steps)
Hands-on: Switch models, add a custom skill, and test new capabilities
Topic 3: Advanced Use Cases & Practical Automation
Personal productivity assistant (email drafting, scheduling, summarizing)
Developer assistant (code generation, debugging, repo management)
Research assistant (document analysis, RAG workflows, knowledge base integration)
Business assistant (report generation, data insights, workflow automation)
Integrating external APIs and automation tools
Designing multi-skill workflows for complex tasks
Hands-on: Build a real-world OpenClaw assistant tailored to a specific use case
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- AI Solutions Architect
- AI Automation Specialist
- Machine Learning Engineer
- AI Product Manager
- DevOps Engineer (AI Infrastructure)
- Full Stack Developer
- AI Integration Consultant
- Business Process Automation Specialist
- Data Engineer
- AI Research Analyst
- Digital Transformation Consultant
- Software Engineer
- Technical Project Manager
- AI Operations Manager
- Systems Administrator
- Innovation Strategist
- Knowledge Management Specialist
- IT Solutions Consultant
- Productivity Technology Analyst
- AI Workflow Designer
Trainers
Trainers
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