Development of LLM-based Applications and Workflows

Introduction to LLM Integration for Innovative App Development

This course provides the fundamental knowledge and practical skills needed to integrate large language models (LLMs) into applications and workflows. It is ideal for beginners with basic programming knowledge.

Integrating LLMs: Challenges and Opportunities for Developers

The growing relevance of large language models (LLMs) in software development and automation is creating new challenges for developers. Beginners aiming to build applications and workflows using LLMs face complex questions:

  • How can LLMs be integrated into existing systems?
  • Which frameworks and technologies are the most effective?
  • How can costs be optimized while increasing efficiency?

This course is designed for individuals with basic programming knowledge who want to expand their skills and integrate modern AI technologies into their projects.

Efficient Integration of LLMs into Applications and Workflows: From Basics to Production

This seminar offers a hands-on introduction to developing applications and workflows based on LLMs. You will learn the basics of LLM technology, explore various tools and frameworks, and enhance your skills through practical exercises. Topics such as retrieval-augmented generation (RAG), prompt engineering, fine-tuning, and MLOps will be covered extensively.

By combining theory and practice, you will gain the skills to efficiently integrate LLMs and automate workflows. The course is specifically designed for beginners with basic programming knowledge and will prepare you for the demands of modern AI applications.

Overview of the Training »Developing LLM-Based Applications and Workflows«

Format In-person, online, or in-house
Duration 2 days
Language German or English
Level Basic
Content
  • Introduction to LLMs: History, providers, applications
  • Practical development of LLM applications: Prompt engineering, fine-tuning, domain adaptation
  • Workflows and production: RAG, agents, automation, MLOps
Learning Objectives
  • Understanding the fundamentals of LLMs
  • Effectively integrate LLMs into applications and workflows
  • Learn techniques for optimization and automation
  • Develop skills for scaling and production
Target Group
  • Beginners with basic Python and system installation knowledge
  • Developers who want to integrate LLMs into their projects
  • IT or software development professionals exploring new technologies
Requirements
  • Basic knowledge of Python
  • Experience with installing and setting up systems
  • Interest in developing and automating applications Anwendungen.
  • DevOps knowledge is useful but not mandatory
Trainer

Dorian Knoblauch (dorian.knoblauch@fokus.fraunhofer.de)

  • Over 5 years of professional experience in machine learning
  • Research publications focused on ML, auditing, and testing AI and security
  • Trainer at the Fraunhofer Academy
Costs Upon request

Currently, there are no scheduled dates for this course. Feel free to contact us for personalized advice or further information.

After the Seminar, You Will Be Able To...

After the Seminar, You Will Be Able To...

  • Develop and optimize applications and workflows using LLMs.
  • Effectively utilize frameworks like LangChain and Transformers.
  • Customize LLMs to meet specific requirements, e.g., through fine-tuning.
  • Automate workflows and extend them with retrieval-augmented generation (RAG).
  • Use tools for monitoring, testing, and scaling.
  • Deploy LLMs securely and efficiently in production.
This Seminar Offers You...

This Seminar Offers You...

  • A comprehensive introduction to the world of LLMs, specifically designed for beginners.
  • Practical exercises for developing LLM-based applications.
  • Expert knowledge on frameworks and tools like LangChain, RAG, and MLOps.
  • Support from experienced instructors and practice-oriented content.
  • The opportunity to integrate cutting-edge technologies into your projects.

Contact

Contact Press / Media

Anne Halbich

Fraunhofer Institute for Open Communication Systems
Kaiserin-Augusta-Allee 31
10589 Berlin, Germany

Phone +493034637346

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