AI-Powered Automation: From No-Code Workflows to Autonomous Agents Training Course

1. Introduction to AI-Driven Automation

• AI as a catalyst for productivity and scalability.
• Overview of application cases for prompt-based automation.
• Transitioning from isolated prompts to continuous process flows.

2. No-Code Automation Tools

• Introduction to leading no-code platforms (Zapier, Make, n8n, etc.).
• Configuring fundamental automation pipelines.
• Linking external tools and services without coding.

3. AI as a Task Connector

• Leveraging AI to interpret, route, and respond to data.
• Implementing prompt chaining and conditional logic.
• Case studies illustrating AI in workflow orchestration.

4. Creating Intelligent Workflows

• Structuring efficient prompt-response pipelines.
• Utilising AI to facilitate decision-making within workflows.
• Monitoring and enhancing workflow efficiency.

5. Working with Webhooks and APIs

• Understanding webhooks and their operational mechanics.
• Integrating webhooks with no-code toolsets.
• Initiating AI tasks through external events.

6. Building and Connecting Vibe Coding Applications

• Overview of Vibe Coding (or low-code application platforms).
• Developing simple AI-powered applications.
• Synchronising applications with automation flows.

7. Autonomous Agents and AI Systems

• Understanding the architecture of AI agents.
• Decision-making frameworks, task planning, and self-execution.
• Key considerations for security and responsibility.

8. Designing and Deploying Autonomous AI Agents

• Tools and platforms for building autonomous agents (AutoGPT, AgentGPT, etc.).
• Defining objectives, constraints, and operational environments.
• Testing and launching agents for real-world application.

Summary and Next Steps