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Course Outline

Introduction to Agentic AI in Business Automation

  • Defining agentic AI and its significance in modern automation
  • A review of key tools and frameworks for constructing intelligent agents
  • Enterprise application examples: customer service, logistics, and marketing

Identifying Automation Opportunities

  • Analyzing existing workflows to identify bottlenecks and pain points
  • Assessing the feasibility and return on investment (ROI) of AI-driven automation
  • Establishing success metrics and defining integration prerequisites

Architecting Agentic Workflows

  • Developing both task-specific and orchestration-level agents
  • Structuring prompt design and logic flows for automation agents
  • Incorporating decision-making logic and exception handling mechanisms

Integrating Agents with Enterprise Systems

  • Linking AI agents to CRMs, ERPs, and communication platforms
  • Leveraging Zapier, Make, or Power Automate for process orchestration
  • Executing API-based integrations using Python

Practical Use Cases

  • Automating customer service interactions and sentiment analysis
  • Forecasting supply chain demand and coordinating vendor activities
  • Optimizing marketing campaigns through AI-generated insights

Governance, Security, and Monitoring

  • Administering access controls and managing data sensitivity
  • Configuring monitoring dashboards and alerting systems
  • Conducting evaluations and audits of automated decisions

Hands-on Project: Developing an Integrated AI Workflow

  • Selecting a specific process targeted for automation
  • Designing and deploying the AI agent
  • Conducting testing, performance evaluation, and optimization

Conclusion and Future Directions

Requirements

  • A foundational grasp of business workflows and process automation principles
  • Working knowledge of Python or API-based integration concepts
  • Prior experience with productivity suites or automation platforms

Target Audience

  • Product managers focused on uncovering automation potential
  • Automation engineers responsible for implementing AI-centric workflows
  • Business analysts aiming to design data-driven operational processes
 21 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3900 € + VAT*

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