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

• An understanding of general business processes or digital workflows
• Familiarity with cloud-based tools or SaaS applications
• Curiosity and openness to working with AI-enhanced systems

Audience

• Operations managers and business analysts
• Digital transformation and automation specialists
• Technical professionals exploring AI-powered workflows

AI-powered automation combines the flexibility of no-code platforms with the intelligence of large language models and autonomous agents to create scalable, intelligent systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to design, build, and optimize automation pipelines enhanced with AI decision-making, orchestration, and self-execution capabilities.

By the end of this training, participants will be able to:

• Design no-code automation workflows enhanced by AI interpretation and responses.
• Use prompt chaining, webhook triggers, and APIs to build scalable logic flows.
• Create intelligent apps that connect services and interpret data autonomously.
• Understand, design, and deploy AI agents capable of goal-oriented action planning and execution.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

1. Introduction to AI-Powered Automation

• AI as a productivity and scalability enabler
• Overview of prompt-based automation use cases
• From one-time prompts to continuous processes

2. No-Code Automation Tools

• Introduction to popular no-code platforms (Zapier, Make, n8n, etc.)
• Setting up basic automation pipelines
• Connecting external tools and services without coding

3. AI as a Task Connector

• Using AI to interpret, route, and respond to data
• Prompt chaining and conditional logic
• Case studies of AI in workflow orchestration

4. Creating Intelligent Workflows

• Structuring prompt-response pipelines
• Leveraging AI to make decisions within workflows
• Monitoring and optimizing workflow efficiency

5. Working with Webhooks and APIs

• What are webhooks and how they work
• Integrating webhooks with no-code tools
• Triggering AI tasks via external events

6. Building and Connecting Vibe Coding Applications

• Overview of Vibe Coding (or low-code app platforms)
• Creating simple AI-powered applications
• Integrating apps with automation flows

7. Autonomous Agents and AI Systems

• Understanding AI agents and their architecture
• Decision-making, task planning, and self-execution
• Security and responsibility considerations

8. Designing and Deploying Autonomous AI Agents

• Tools and platforms for building autonomous agents (AutoGPT, AgentGPT, etc.)
• Defining goals, constraints, and environments
• Testing and deploying agents for real-world use

Summary and Next Steps