Course : OpenClaw: Designing and Controlling Autonomous AI Agents
Practical course - 4d
- 28h00 - Ref. OPW
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 | Identify the differences between chatbots, AI workflows, and autonomous agents in order to select the architecture best suited to a business need. |
| Set up an OpenClaw environment and connect an AI agent to external tools and services. |
| Design an automated assistant capable of performing document-related and organizational tasks. |
| Secure and optimize an agent-based architecture while managing costs, permissions, and operational risks. |
Intended audience
Developers, software architects, AI consultants, DevOps engineers, innovation managers, technical trainers, and professionals looking to automate intelligent workflows using autonomous AI agents.
Prerequisites
General computer literacy. Basic knowledge of APIs and web applications. Familiarity with Linux terminals and Docker is recommended. No prior expertise in AI or machine learning is required.
Course schedule
1 Understanding Autonomous AI Agent Architectures
- The Evolution of Conversational AI Toward Autonomous Systems Focused on Actions and Automation.
- Differences between chatbots, AI workflows, deterministic orchestration, and autonomous agents.
- Fundamental Concepts of Agent-Based Architectures: Memory, Tools, Autonomy, and Planning.
- Overview of OpenClaw and its functional and technical architecture.
- A Comparison of Use Cases for OpenClaw, ChatGPT, n8n, CrewAI, AutoGPT, and Copilot.
Hands-on work
Analysis of business use cases and mapping of a process that can be automated using an AI agent.
2 Install and Configure OpenClaw
- Technical architecture of an OpenClaw platform on a local environment or Linux VPS.
- Installing and deploying the environment using Docker and configuring the components.
- Connecting OpenClaw to AI models via OpenRouter and configuring access settings.
- Understanding the business models of LLMs, tokens, and operating costs.
- Implementation of an initial agent connected to simple external tools.
Hands-on work
Complete installation of OpenClaw and creation of the first operational agent connected to an AI model.
3 Design automated assistants connected to tools
- Using tools and connectors to automate recurring business processes.
- Automated email processing and intelligent extraction of relevant information.
- File management and document automation for organizing and utilizing content.
- Automated creation of calendar events and coordination of organizational tasks.
- Organizing data, storing results, and tracking completed treatments.
Hands-on work
Implementation of a tool that automates email monitoring and document processing.
4 Building Hybrid, AI-Driven Workflows
- A combination of deterministic logic with targeted and context-specific AI processing.
- Designing a hybrid workflow that integrates automation, data extraction, and data generation.
- Organizing the exchange of data between services, tools, and AI models within a single workflow.
- Managing automated processes and monitoring the results produced by agents.
- Development of an automated daily reporting system based on collected data.
Hands-on work
Creation of a hybrid workflow that integrates data collection, AI processing, and automated reporting.
5 Building Hybrid, AI-Driven Workflows
- Identification of risks associated with autonomous agents and automated actions.
- Understanding prompt injection mechanisms and uncontrolled executions.
- Implementation of isolation, permissions, and sandboxing mechanisms.
- Prevention of infinite loops and monitoring of token and resource usage.
- Defining best practices for the governance and oversight of AI agents.
Hands-on work
Configuring security safeguards and limiting the tools accessible to an autonomous agent.
6 Optimize usage and choose the right architecture
- Analysis of the performance, limitations, and costs of modern agent-based architectures.
- Optimizing strategies for calling AI models and streamlining processing.
- Criteria for choosing between OpenClaw, n8n, and a traditional workflow based on business needs.
- Assessment of cases in which an autonomous agent provides real operational value.
- Completion and demonstration of a cross-functional project integrating automation and monitoring.
Hands-on work
Critical Analysis of an Agent-Based Workflow and Optimization of an Existing Architecture.
PARTICIPANTS
Developers, software architects, AI consultants, DevOps engineers, innovation managers, technical trainers, and professionals looking to automate intelligent workflows using autonomous AI agents.
PREREQUISITES
General computer literacy. Basic knowledge of APIs and web applications. Familiarity with Linux terminals and Docker is recommended. No prior expertise in AI or machine learning is required.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Developers, software architects, AI consultants, DevOps engineers, innovation managers, technical trainers, and professionals looking to automate intelligent workflows using autonomous AI agents.
PREREQUISITES
General computer literacy. Basic knowledge of APIs and web applications. Familiarity with Linux terminals and Docker is recommended. No prior expertise in AI or machine learning is required.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.
Dates and locations
Dernières places
Date garantie en présentiel ou à distance
Session garantie
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.