OpenClaw – agentic programming and automation (AICLAW)

AI - Artificial Intelligence, AI for developers

This course introduces agentic programming and explains the difference between a chatbot and an agent, including its loop, tools, context, memory and orchestration. You will learn about OpenClaw architecture, its gateway, channels, runtime, skills and workspace, and gain practical experience with installation, model configuration and communication management through supported channels.

The course demonstrates how to use OpenClaw for automation and long-running tasks, multi-agent architectures, local and cloud models, and integrations with Git, ticketing systems and internal tools through skills and MCP. It also focuses on security and enterprise operations, including permissions, sandboxing, secrets management, auditing, monitoring and governance.

THIS TRAINING COURSE WILL HELP YOU:

  • Understand the principles of agentic programming and the agent loop
  • Learn about OpenClaw architecture, installation and configuration
  • Configure agent communication, workspace, tools and skills
  • Manage agent memory, automation and long-running tasks
  • Design multi-agent architectures and use local models
  • Use OpenClaw for programming, DevOps and integration with enterprise systems
  • Secure agents using sandboxing, permissions, audits and security policies

WHO SHOULD ATTEND?

  • Developers using AI agents
  • DevOps specialists
  • System and enterprise tool administrators
  • Software architects
  • Automation specialists

COURSE LOCATION AND AVAILABLE DATES



Choose whether to attend in person in our classroom or join online. You can select your preferred format during registration. Learn more about hybrid training.
Filter dates:
DateLocationFormat LanguagePrice
25–26 Jan 2027
PrahaPraha (hybrid)
HybridThis session takes place simultaneously in the classroom and online. You can choose your preferred way to attend during registration.
Czech
472 € 571 € incl. VAT

Public courses are usually delivered in Czech, but this course is also available in English. We can arrange private training for your team online, at your premises or in our classrooms, and tailor the content to your needs.

For groups of around 4 or more participants, private training can already be comparable in price to booking individual places on a public course. Send us your requirements and we’ll recommend the best format and provide an exact quote.

Request training in English

Course content:

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  • Introduction to agentic programming
    1. Chatbot vs. agent – agent loop (planning, tool call, result, next step)
    2. Tool use, context window, memory and orchestration around the model
    3. Coding agents vs. agents running as a persistent service
    4. Where OpenClaw makes sense and where it does not
  • OpenClaw architecture
    1. Project history (Clawdbot → Moltbot → OpenClaw), license and community
    2. Gateway, channel adapters, agent runtime, skills and memory
    3. Model-agnostic design – cloud APIs vs. local models
    4. Sessions, workspace and agent file state
  • Installation and configuration
    1. Requirements and installation (installer, Node.js, Docker, Nix)
    2. openclaw setup, onboarding wizard, openclaw doctor
    3. Gateway – startup, dashboard, TUI, logs
    4. Model provider configuration, model failover, usage tracking
    5. Updates, development channels and troubleshooting
  • Channels and communication with the agent
    1. Connecting Telegram, Slack, Discord, WhatsApp, Signal and others
    2. Pairing and user permissions
    3. Channel routing, group messages, mention patterns
    4. Streaming, response formatting, typing indicators
  • Workspace – programming the agent in Markdown
    1. AGENTS.md – behavior and standing instructions
    2. SOUL.md, IDENTITY.md, USER.md – personality and user context
    3. TOOLS.md – local tool notes
    4. System prompt, context, token use and compaction
    5. Changing agent behavior without writing code
  • Tools and skills
    1. Built-in tools – shell, files, browser, messaging
    2. Skill structure – SKILL.md, scripts, configuration
    3. ClawHub – skill installation, evaluation and management
    4. Creating a custom skill
    5. MCP servers – connecting external tools and enterprise systems
  • Agent memory
    1. Short-term memory – memory/YYYY-MM-DD.md
    2. Long-term memory – MEMORY.md and its curation
    3. Session pruning, compaction and token usage monitoring
    4. When memory helps and when it causes problems
  • Automation and long-running tasks
    1. Cron vs. heartbeat vs. hooks vs. standing instructions
    2. HEARTBEAT.md, periodic checks and HEARTBEAT_OK
    3. Cron jobs – one-time, recurring and isolated runs with a different model
    4. Background tasks – openclaw tasks list and auditing
    5. Practical examples
  • Multi-agent architecture
    1. Multi-agent routing – multiple agents with their own workspace and channels
    2. Subagents and task delegation
    3. Design patterns – specialist vs. generalist
    4. Team of agents coordinated through group chat
  • OpenClaw and local models
    1. Connecting through Ollama, llama.cpp and vLLM (OpenAI-compatible API)
    2. Which models support tool calling and the agent loop
    3. Hybrid setup – sensitive data locally, demanding tasks in the cloud
  • Agentic programming in practice
    1. OpenClaw as a coding and DevOps assistant – repository, CI, servers
    2. Connecting Git, ticketing systems and internal APIs through skills and MCP
    3. Agent as an interface to enterprise tools and documents
  • Agent security
    1. Agent with OS access – threat model
    2. Prompt injection from websites, emails and documents
    3. Sandbox, approvals, tool restrictions and permissions
    4. API key and secrets management
    5. Auditing, logging and what never to give an agent
  • Enterprise operations
    1. Deployment in Docker and Kubernetes, remote gateway, nodes
    2. Monitoring, workspace backups, multi-user management
    3. Governance – skill review and security policies
    4. Best practices and common mistakes
Schedule:
2 days (9:00-17:00)
Price per person:
472.00 € ( 571.12 € incl. 21% VAT)

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