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Course Outline
1. Introduction to Intelligent Automation
- AI as a driver for productivity and scalability
- Exploration of prompt-based automation use cases
- Transitioning from one-off prompts to continuous processes
2. No-Code Automation Platforms
- Introduction to leading no-code platforms (Zapier, Make, n8n, etc.)
- Establishing fundamental automation pipelines
- Linking external tools and services without writing code
3. AI as a Task Connector
- Employing AI to interpret, route, and respond to data
- Implementing prompt chaining and conditional logic
- Case studies on AI in workflow orchestration
4. Developing Intelligent Workflows
- Structuring prompt-response pipelines
- Enabling AI to drive decisions within workflows
- Monitoring and refining workflow efficiency
5. Utilizing Webhooks and APIs
- Understanding webhooks and their functionality
- Integrating webhooks with no-code tools
- Triggering AI tasks through external events
6. Building and Connecting Vibe Coding Applications
- Overview of Vibe Coding (or low-code app platforms)
- Creating basic AI-powered applications
- Connecting apps to automation flows
7. Autonomous Agents and AI Systems
- Understanding the architecture of AI agents
- Decision-making, task planning, and self-execution mechanisms
- Addressing security and responsibility concerns
8. Designing and Deploying Autonomous AI Agents
- Tools and platforms for creating autonomous agents (AutoGPT, AgentGPT, etc.)
- Defining goals, constraints, and operating environments
- Testing and deploying agents for real-world applications
Summary and Path Forward
Requirements
- A solid grasp of general business processes or digital workflows
- Experience with cloud-based tools or SaaS applications
- An open mindset and curiosity toward integrating AI-enhanced systems
Target Audience
- Operations managers and business analysts
- Digital transformation and automation specialists
- Technical professionals exploring AI-driven workflow solutions
21 Hours