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Duration 21 hours
Course Outline
1. Introduction to AI-Driven Automation
- AI as a catalyst for productivity and scalability
- Review of prompt-based automation applications
- Transitioning from one-off prompts to continuous processes
2. No-Code Automation Platforms
- Overview of leading no-code platforms (Zapier, Make, n8n, etc.)
- Establishing fundamental automation pipelines
- Linking external tools and services without coding
3. AI as a Task Orchestrator
- Leveraging AI to interpret, route, and respond to data
- Prompt chaining and conditional logic implementation
- Case studies on AI in workflow orchestration
4. Developing Intelligent Workflows
- Structuring prompt-response pipelines
- Empowering AI to make decisions within workflows
- Monitoring and enhancing workflow efficiency
5. Utilizing Webhooks and APIs
- Understanding webhooks and their functionality
- Integrating webhooks with no-code tools
- Activating AI tasks through external events
6. Building and Integrating Vibe Coding Applications
- Introduction to Vibe Coding (or low-code app platforms)
- Creating basic AI-powered applications
- Connecting apps with automation flows
7. Autonomous Agents and AI Systems
- Exploring the architecture of AI agents
- Decision-making, task planning, and self-execution
- Security and responsibility considerations
8. Designing and Deploying Autonomous AI Agents
- Tools and platforms for autonomous agent development (AutoGPT, AgentGPT, etc.)
- Defining goals, constraints, and operational environments
- Testing and deploying agents for practical use
Conclusion and Future Directions
Requirements
- A solid grasp of general business processes or digital workflows
- Experience with cloud-based tools or SaaS applications
- A willingness to engage with AI-enhanced systems
Target Audience
- Operations managers and business analysts
- Specialists in digital transformation and automation
- Technical professionals interested in AI-powered workflows
Testimonials (1)
understand basic concept, being more realistic , clarify our needs