AB-100: Designing agent-based AI business solutions

Price
Net €
VAT €

Price
Price on Request

Duration
3 days

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
Online Live

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Anyone developing AI-driven business models today needs more than just basic technical knowledge. The focus is on modern strategies for strategically deploying agent-based AI solutions for processes, automation, and digital value creation.

Key Topics

  • Architecture of intelligent AI agent systems
  • Business solutions with generative AI
  • Process automation and decision logic
  • Integration into existing enterprise landscapes
  • Governance, security, and scalability
  • Use Cases for Modern Business Processes

Prerequisites
A basic understanding of the cloud, digital business processes, and AI fundamentals is helpful.

Target Audience
Suitable for IT architecture, solution design, digital transformation, business analysis, and technology-oriented departments.

Modern companies are increasingly relying on autonomous AI systems. This is precisely where the knowledge needed to strategically position and professionally implement robust, scalable, and economically viable solutions is developed.

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Course Content
  • Driving AI Transformation with Architectural Strategies
  • Explore Microsoft AI technologies for businesses
  • Identify Microsoft AI technologies for business solutions
  • Identify out-of-the-box resources for Microsoft AI agents for business solutions
  • Identify out-of-the-box Microsoft AI agents for enterprises
  • Evaluation of the use of agents in task automation, data analysis, and decision-making
  • Verification of data for accuracy, relevance, timeliness, quality, and availability
  • Preparation of data from business solutions for AI systems
  • Recommendations for Process Metrics for Testing AI Agents
  • Development of validation criteria for custom AI models
  • Validation of best practices for effective Copilot prompts
  • Design of end-to-end test scenarios for AI solutions using multiple Dynamics 365 apps
  • Developing a strategy for creating test cases with Copilot

Frequently Asked Questions

  • The focus is on agent-based AI architectures, intelligent business processes, and the development of robust AI solutions for businesses.
  • Particularly relevant for IT architecture, digital transformation, AI strategy, and technical project management.
  • Companies are increasingly turning to autonomous systems to speed up decision-making and manage processes more efficiently.
  • Typical scenarios include process automation, intelligent assistance systems, decision-making logic, and data-driven workflows.
  • The course provides structured approaches to architecture, integration, scaling, and secure implementation.
  • Reduces risks such as inefficient workflows, lack of scalability, and security vulnerabilities in AI systems.
  • Yes, expertise in AI solution architecture and agent-based systems is among the most in-demand skills of the future.
  • It lays the groundwork for productive, cost-effective, and strategically deployable AI solutions that deliver measurable benefits.
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