AI-Powered Automation: From No-Code Workflows to Autonomous Agents Training Course
AI-driven automation merges the flexibility of no-code platforms with the intelligence of large language models and autonomous agents to create scalable, smart systems.
This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals looking to design, build, and optimize automation pipelines enhanced with AI decision-making, orchestration, and self-execution capabilities.
Upon completion 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.
Course Format
- Interactive lecture and discussion.
- Plenty of exercises and practice.
- Hands-on implementation in a live-lab environment.
Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
1. Introduction to AI-Driven 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
Requirements
- 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
Open Training Courses require 5+ participants.
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