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Course Outline
Foundations of Agentic AI in Business Automation
- Defining agentic AI and its significance in modern automation
- A comprehensive overview of tools and frameworks for developing intelligent agents
- Enterprise application examples: customer service, logistics, and marketing
Strategic Identification of Automation Opportunities
- Mapping existing workflows and identifying operational pain points
- Assessing feasibility and return on investment (ROI) for AI-driven solutions
- Establishing success metrics and defining integration requirements
Architecting Agentic Workflows
- Designing both task-specific agents and orchestration-level architectures
- Crafting prompts and structuring logic for effective automation agents
- Incorporating decision-making logic and exception handling mechanisms
Connecting Agents with Core Business Systems
- Synchronizing AI agents with CRMs, ERPs, and communication platforms
- Leveraging Zapier, Make, or Power Automate for workflow orchestration
- Executing API-based integrations using Python
Practical Application Scenarios
- Automating customer service interactions and performing sentiment analysis
- Predicting supply chain demand and coordinating vendor activities
- Optimizing marketing campaigns through AI-driven insights
Governance, Security, and Operational Monitoring
- Managing access controls and safeguarding data sensitivity
- Configuring monitoring dashboards and alerting systems
- Auditing and evaluating automated decision-making processes
Capstone Project: Constructing an Integrated AI Workflow
- Selecting a target process for automation implementation
- Designing and deploying the AI agent solution
- Conducting testing, evaluation, and optimization cycles
Conclusion and Strategic Next Steps
Requirements
- Fundamental comprehension of business workflows and process automation concepts
- Proficiency with Python or API-based integration techniques
- Practical experience utilizing productivity or automation software
Target Audience
- Product managers aiming to uncover new automation opportunities
- Automation engineers focused on deploying AI-driven workflows
- Business analysts crafting data-informed operational processes
21 Hours
Testimonials (1)
The trainer is patient and very helpful. He knows the topic well.