Requirements gathering and solution architecture for Generative AI

Course code: RGSAAI

Our two-day workshop is designed to provide experienced solution managers with in-depth knowledge and practical skills in generative AI and its impact on solution architecture and requirements documentation. This program is engaging, practical and delivers real value to improve your solution architecture processes.

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Course dates

Starting date: Upon request

Type: Virtual

Course duration: 2 days

Language: en/cz

Price without VAT: 750 EUR


Type Course
Language Price without VAT
Upon request Virtual 2 days en/cz 750 EUR Register
G Guaranteed course

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Course description

The goal of this workshop is to equip participants with a solid foundation in generative AI, introduce them to the latest trends and technologies, and demonstrate practical applications to improve solution architecture and requirements documentation. Through hands-on exercises and group discussions, participants will:

  • Understand the practical application of generative AI and its integration into solution architecture.
  • They will improve the efficiency and accuracy of requirements documentation.
  • They will discover innovative approaches to solving architectural challenges.

What You’ll Take Away:

  • Deeper Understanding of Generative AI: Gain a deep understanding of generative AI and its capabilities in the solution domain.
  • Practical Skills: Learn how to effectively use generative AI tools and technologies in your projects.
  • Open the door to new possibilities and ways to improve requirements documentation and solution architecture.

Target group

  • Experienced Solution Managers: Interested in integrating generative AI into solution architecture and requirements documentation.
  • IT professionals and solution architects: Looking for ways to optimize their processes with generative AI.
  • AI Enthusiasts: Wanting to learn more about how generative AI can be used to solve complex problems.

Course structure

Day 1:

Introduction and Overview of Generative AI.

  • Introductory Welcome and Agenda Overview.
  • Brief introduction to generative AI, including ChatGPT and Assistant APIs.
  • Key differences between generative AI and traditional AI solutions.
  • Understanding the overall use of generative AI and its capabilities.

Generative AI Capabilities and Use Cases

  • Exploring what generative AI can do exceptionally well.
  • Detailed examples of the application of generative AI in solution architecture.
  • Case studies of successful implementations.

Documentation of Requirements for Generative AI Solutions

  • How requirements for generative AI solutions differ from traditional applications.
  • Key considerations and challenges when documenting requirements.
  • Techniques for capturing and defining requirements specific to generative AI.
  • Practical examples and group discussions on best practices.

Interactive Application Analysis.

  • Group activity to analyze given use cases and identify unique requirements.
  • Discussion and feedback on the analysis.
  • Q&A, summary of key learnings from day one.

Day 2:

Architectural Considerations for Generative AI.

  • Overview of key architectural components specific to generative AI.
  • Discussion of data sources, processing, model integration and APIs.
  • Introduction to design patterns and best practices for generative AI applications.

Complexity Analysis and Performance Management

  • Techniques for assessing and managing the complexity of generative AI projects.
  • Practical examples and group discussions.
  • Addressing the scalability and performance challenges of generative AI solutions.
  • Best practices for performance optimization.

Practical Architecture Design

  • Hands-on sessions for designing the architecture of a sample generative AI project.
  • Group work and peer review of architectural designs.
  • Techniques for effective documentation of architecture design.
  • Practical examples and group activities.

Review and Future Trends.

  • Presentation and review of architectural designs created during hands-on sessions.
  • Feedback and discussion of improvements and best practices.
  • Exploration of emerging trends and future developments in generative AI.
  • Discussion on how to stay current and adapt to new advances.
  • Q&A, final thoughts and feedback.
  • Summary of key learnings and next steps.





Technical Requirements:

  • Laptop with internet connection

Participant Requirements:

  • Experience with solution management and requirements documentation
  • Basic knowledge of artificial intelligence and its applications

This workshop will provide experienced solution managers with the insight and skills needed to effectively incorporate generative AI into their solution architecture and requirements documentation processes.

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