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Duration 21 hours
Course Outline
1. Introduction to AI-Driven Automation
- AI as a catalyst for productivity and scalability
- Overview of prompt-based automation applications
- Transitioning from one-off prompts to continuous processes
2. No-Code Automation Tools
- Introduction to leading no-code platforms (Zapier, Make, n8n, etc.)
- Establishing foundational automation pipelines
- Linking external tools and services without coding
3. AI as a Task Connector
- Utilising AI to interpret, route, and respond to data
- Prompt chaining and conditional logic
- Case studies on AI in workflow orchestration
4. Creating Intelligent Workflows
- Structuring prompt-response pipelines
- Harnessing AI for decision-making within workflows
- Monitoring and optimising workflow efficiency
5. Working with Webhooks and APIs
- Understanding webhooks and their functionality
- 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)
- Developing simple AI-powered applications
- Integrating applications 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
- A solid grasp of general business processes or digital workflows
- Familiarity with cloud-based tools or SaaS applications
- A willingness and curiosity to engage with AI-enhanced systems
Target Audience
- Operations managers and business analysts
- Digital transformation and automation specialists
- Technical professionals exploring AI-driven workflows
Testimonials (1)
understand basic concept, being more realistic , clarify our needs
