Agentic AI for Business Automation: Use Cases & Integration Training Course
Agentic AI for Business Automation is an interactive course designed to guide participants through the process of designing, integrating, and scaling AI-driven agents for practical business applications. The course emphasizes identifying automation opportunities, integrating various tools, and creating effective use cases in areas such as customer service, supply chain management, and marketing.
This live training, led by an instructor, is suitable for intermediate-level professionals who are interested in implementing AI-powered automation using no-code, low-code, and Python-based methods. The training can be conducted online or on-site to accommodate different learning preferences.
By the end of this training, participants will have the ability to:
- Identify key areas where agentic AI can enhance process efficiency and drive innovation.
- Map workflows that are suitable for integration with AI agents.
- Implement automation using APIs and orchestration tools.
- Integrate AI models into real-world business scenarios to achieve measurable impact.
- Develop governance and monitoring frameworks for AI-driven operations.
Format of the Course
- Interactive lectures and practical demonstrations.
- Hands-on exercises and guided projects.
- Live implementation in a sandbox automation environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Agentic AI in Business Automation
- What is agentic AI and why it matters for automation
- Overview of tools and frameworks for building intelligent agents
- Enterprise use cases: customer service, logistics, and marketing
Identifying Automation Opportunities
- Mapping current workflows and pain points
- Evaluating feasibility and ROI for AI-driven automation
- Defining success metrics and integration requirements
Designing Agentic Workflows
- Designing task-specific and orchestration-level agents
- Prompt design and logic structuring for automation agents
- Integrating decision-making and exception handling
Integrating Agents with Business Systems
- Connecting AI agents to CRMs, ERPs, and communication tools
- Using Zapier, Make, or Power Automate for orchestration
- Implementing API-based integrations with Python
Applied Use Cases
- Customer service automation and sentiment analysis
- Supply chain demand forecasting and vendor coordination
- Marketing campaign optimization using AI-driven insights
Governance, Security, and Monitoring
- Managing access control and data sensitivity
- Setting up monitoring dashboards and alerts
- Evaluating and auditing automated decisions
Hands-on Project: Building an Integrated AI Workflow
- Identifying a target process for automation
- Designing and implementing the AI agent
- Testing, evaluation, and optimization
Summary and Next Steps
Requirements
- Basic understanding of business workflows and process automation
- Familiarity with Python or API-based integrations
- Experience using productivity or automation tools
Audience
- Product managers seeking to identify automation opportunities
- Automation engineers implementing AI-driven workflows
- Business analysts designing data-informed business processes
Open Training Courses require 5+ participants.
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Testimonials (1)
We got to use the tools.
Victor Aguero - PNUD/MICI
Course - Aplicaciones Prácticas de Inteligencia Artificial para Personal Administrativo
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