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
- Overview of key tools and frameworks for building intelligent agents
- Enterprise applications: customer service, logistics, and marketing
Identifying Automation Opportunities
- Assessing current workflows and identifying pain points
- Assessing the feasibility and ROI of AI-driven automation
- Establishing success metrics and integration prerequisites
Designing Agentic Workflows
- Architecting task-specific agents and orchestration-level systems
- Structuring prompts and logic for automation agents
- Incorporating decision-making capabilities and exception handling
Integrating Agents with Business Systems
- Linking AI agents to CRMs, ERPs, and communication platforms
- Leveraging Zapier, Make, or Power Automate for orchestration
- Executing API-based integrations using Python
Applied Use Cases
- Automating customer service and performing sentiment analysis
- Forecasting supply chain demand and coordinating vendors
- Optimizing marketing campaigns with AI-driven insights
Governance, Security, and Monitoring
- Overseeing access control and data sensitivity
- Configuring monitoring dashboards and alert systems
- Reviewing and auditing automated decision-making processes
Hands-on Project: Building an Integrated AI Workflow
- Selecting a target process for automation
- Designing and deploying the AI agent
- Conducting testing, evaluation, and optimization
Summary and Next Steps
Requirements
- A fundamental grasp of business workflows and process automation
- Working knowledge of Python or API-based integrations
- Practical experience with productivity or automation tools
Target Audience
- Product managers looking to uncover automation potential
- Automation engineers responsible for implementing AI-driven workflows
- Business analysts focused on designing data-informed processes
21 Hours
Testimonials (1)
The trainer is patient and very helpful. He knows the topic well.