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Course Outline
Foundations of Agentic AI in Business Automation
- Understanding agentic AI and its significance for modern automation
- Survey of key tools and frameworks for developing intelligent agents
- Exploring enterprise applications in customer service, logistics, and marketing
Uncovering Automation Opportunities
- Analyzing existing workflows to identify bottlenecks and pain points
- Assessing the viability and return on investment for AI-driven solutions
- Establishing success metrics and defining integration prerequisites
Architecting Agentic Workflows
- Creating both task-specific agents and broader orchestration-level agents
- Structuring prompts and logic to optimize automation agent performance
- Embedding decision-making logic and exception handling mechanisms
Connecting Agents to Business Systems
- Linking AI agents with CRMs, ERPs, and communication platforms
- Leveraging Zapier, Make, or Power Automate for workflow orchestration
- Building API-based integrations using Python
Practical Application Scenarios
- Automating customer service interactions with sentiment analysis
- Enhancing supply chain demand forecasting and vendor coordination
- Optimizing marketing campaigns through AI-driven insights
Governance, Security, and Oversight
- Overseeing access control and managing data sensitivity
- Configuring monitoring dashboards and alert systems
- Reviewing and auditing automated decision-making processes
Practical Exercise: Constructing an Integrated AI Workflow
- Selecting a specific business process for automation
- Designing and deploying the corresponding AI agent
- Conducting testing, evaluation, and iterative optimization
Conclusion and Future Directions
Requirements
- Foundational knowledge of business workflows and process automation
- Proficiency with Python or API-based integrations
- Practical experience utilizing productivity or automation software
Target Audience
- Product managers looking to uncover automation potential
- Automation engineers focused on deploying AI-driven workflows
- Business analysts crafting data-driven business processes
21 Hours
Testimonials (1)
The trainer is patient and very helpful. He knows the topic well.