Unlock the power of Generative AI and Large Language Models to transform your development skills and applications.
With our expert-led training program,
designed to give you cutting-edge skills in application deployment and management.
Benefit from our wealth of experience from countless customer projects:
Experience a balanced mix of theory, live demonstrations and practical exercises.
Gain a deep understanding of the architecture and training techniques behind LLMs and NLP in this machine learning developer course.
Learn to design effective prompts and integrate vector databases for optimized information retrieval.
Build and deploy intelligent, real-world AI agents for tasks like chatbots, content generation, and more.
Practical applications that we will go through in the Gen AI Dev course:
- 1
The fundamentals and evolution of Large Language Models (LLMs)
- 2
Core concepts in AI, Machine Learning, and Deep Learning
- 3
Basics and applications of Natural Language Processing (NLP)
- 4
Essential techniques in prompt engineering
- 5
Introduction to vector databases and their role in GenAI applications
- 6
Insights into agent architectures and dialogue management
- 7
Practical applications of LLM-based agents in various fields
After the GenAI4dev course you will be able to…
- 1Understand the architecture and training techniques of LLMs
- 2Craft effective prompts for various language processing tasks
- 3Integrate vector databases with LLMs for efficient information retrieval
- 4Design and deploy intelligent agents powered by LLMs
- 5Apply learned concepts to real-world scenarios through practical exercises
The GenAI for Developers training is not suitable for you if…
Hear from our satisfied training attendees
A1 Telekom Austria AG
Reinhard Burgmann
Head of Data Ecosystem
Vattenfall
Bernard Benning
BA Heat
„I recently attended Vattenfall IT’s online Kafka training day hosted by Ultra Tendency, and it was an enriching experience.
The trainer, Ahmed, did a fantastic job explaining the theory behind Kafka, and the emphasis on practical application was great. The hands-on programming exercises were particularly helpful, and I’ve never experienced training with so many interactive examples!
Overall, I highly recommend this training to anyone who wants to improve their Kafka knowledge interactively and gain valuable skills.“
VP Bank
Eisele Peer
Lead Architect & Head of IT Integration & Development
“The MLOps training exceeded our expectations!
It offered a perfect blend of an overview, hands-on coding examples, and real-world use cases. The trainer answered all questions competently and adapted the content to fit our company’s infrastructure.
This training not only provided us with knowledge but also practical skills that we can apply immediately.“
Your investment
- Explore the history, evolution, and architecture of Large Language Models (LLMs), with a focus on how they are transforming AI and software development.
- Master prompt engineering, learning key techniques to craft precise and efficient prompts for natural language processing tasks.
- Delve into vector databases and their role in optimizing AI performance by improving data retrieval and search capabilities.
- Design, implement, and manage LLM-based agents for practical applications, including customer support chatbots, content generation, and more.
Get to know your trainers
Marvin Taschenberger
Hudhaifa Ahmed
Senior Lead Big Data Developer Berlin Territory Manager, Ultra Tendency
Matthias Baumann
Hardware and infrastructure required for your AI development course
- You need a PC or Mac with a web browser and MS Teams.
- During the training, we will provide you with a virtual machine with the required local dependencies, services and root access.
- You can access the machine via a browser or SSH if you wish and the network restrictions allow this.