Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Agentic AI in Business Automation
- Defining agentic AI and its significance for automation
- Survey of tools and frameworks for developing intelligent agents
- Enterprise applications: customer service, logistics, and marketing
Pinpointing Automation Opportunities
- Assessing existing workflows and identifying pain points
- Assessing feasibility and ROI for AI-driven automation
- Establishing success metrics and integration prerequisites
Architecting Agentic Workflows
- Creating task-specific and orchestration-level agents
- Crafting prompts and structuring logic for automation agents
- Incorporating decision-making processes and exception handling
Connecting Agents to Business Systems
- Linking AI agents with CRMs, ERPs, and communication platforms
- Leveraging Zapier, Make, or Power Automate for orchestration
- Executing API-based integrations using Python
Real-World Application Scenarios
- Automating customer service and performing sentiment analysis
- Forecasting supply chain demand and coordinating vendors
- Optimizing marketing campaigns through AI-driven insights
Governance, Security, and Oversight
- Controlling access and managing data sensitivity
- Configuring monitoring dashboards and alert systems
- Reviewing and auditing automated decisions
Practical Project: Constructing an Integrated AI Workflow
- Selecting a target process for automation
- Designing and deploying the AI agent
- Testing, evaluating, and refining the solution
Conclusion and Future Directions
Requirements
- Foundational knowledge of business workflows and process automation
- Proficiency with Python or API-based integration systems
- 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 engaged in designing data-informed processes
21 Hours
Testimonials (1)
The trainer is patient and very helpful. He knows the topic well.