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Machine Learning Engineer
The IHK Certificate Program in AI Software Architecture (IHK), developed by ITech Progress GmbH in cooperation with the IHK Pfalz, equips you with the essential knowledge and skills to thoroughly evaluate, meaningfully integrate, and responsibly design artificial intelligence from a software architecture perspective. The course focuses on both the use of AI tools in the architecture and development process and the architectural integration of AI systems, agent-based architectures, and modern context systems. You’ll learn how to systematically integrate AI into requirements, design, documentation, communication, quality assurance, data management, and operations. In addition, the course shows you how interoperability, security, traceability, governance, and productive operations can be incorporated into architectural decisions at an early stage. This will help you develop a solid understanding of not only how AI works technologically but also how it is translated into robust, operable, and future-proof software architectures.
Strategically Positioning AI in the Context of Architecture
- Key concepts in artificial intelligence, generative AI, and architecture-related fundamentals.
- Assessment of opportunities, limitations, and risks from a software architecture perspective.
Using AI Strategically in the Development Process
- Support with requirements, design, documentation, reviews, and quality assurance.
- Structured use of AI tools for architecture-related tasks and decisions.
Mastering LLMs, Prompt Engineering, and Context Engineering
- Understanding of modern language models and relevant concepts such as RAG, CAG, and Graph RAG.
- Use of effective prompt patterns, contextual strategies, and integrated tools.
Understanding AI Agents and Agent-Based Architectures
- Architecture, Control, and Collaboration of Agent-Based Systems in Operational Settings.
- Context Architectures, State Management, and Storage Approaches for Scalable Agent Systems.
Ensuring interoperability, quality, and security:
- Standardized interfaces, Model Context Protocol, and agent-to-agent communication.
- Quality, observability, security requirements, and governance in production environments.
Integrating and Operating Resilient AI Systems:
- Data management, MLOps, deployment, monitoring, and continuous improvement.
- Architectural decisions for operational, traceable, and future-proof AI solutions.
Configuration, Monitoring, and Troubleshooting:
- ConfigMaps, Secrets, Logging, Monitoring, and Troubleshooting in Practice.
- Practical Projects and Knowledge Transfer
- Exercises and final assignments designed to apply what has been learned in realistic scenarios.
Requirements:
The IHK certificate program is designed for software architects, software developers , and related professionals who already have basic experience in the field of architecture and wish to expand their expertise in the area of artificial intelligence in a targeted manner.
attendees Ideally, you should have the following:
- Basic knowledge of software architecture
- An understanding of the design, architecture, and integration of software systems
- Initial practical experience in the analysis, design, documentation, or further development of software architectures
- A basic technical understanding of software development, interfaces, data flows, and quality requirements
- Interest in artificial intelligence as a topic relevant to architecture
- To reflect on and evaluate openness, AI tools, AI systems, and agent-based approaches from the perspective of software architecture
Technical requirements:
There are no special requirements for the training environment, as the exercises take place using cloud- and web-based tools such as Miro, Draw.io, and platforms such as Jupyter or HuggingFace. All that is needed is a stable and sufficiently fast internet connection.
- You evaluate AI not only from a technological perspective, but also from a well-founded architectural perspective.
- You will integrate AI components, AI agents, and contextual architectures into existing or new software systems in a structured manner.
- You identify requirements related to quality, security, data flows, operations, and governance at an early stage.
- You lay the foundation for robust, operational, and future-proof AI architectures.
- You'll gain confidence in working with generative AI, agent-based systems, and modern integration approaches.
- You'll strengthen your role as a software architect at the intersection of technology, architecture, and operational implementation.
- In-depth expertise in AI architecture: Accurately classify and architecturally evaluate AI tools, AI systems, and agent-based architectures.
- Practical Methods: Applying AI approaches relevant to architecture directly to requirements, design, documentation, quality assurance, and operations.
- Future-oriented expertise: Gain a structured understanding of and learn to apply generative AI, AI agents, context architectures, and modern integration approaches.
- Architectural Security: Consider requirements for interoperability, data management, quality, governance, and operations early on.
- Accredited IHK certificate program: Showcase your professional expertise and strategically strengthen your profile as a software architect.
- Visual collaboration through, for example, whiteboarding
- High level of interactivity through customized exercises and breakout rooms
- Ideal trainer support even in the breakout rooms
The course concludes with an IHK final exam, which consists of a presentation of a project and a technical discussion. The topic of the project is assigned by the instructor.
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