GenAI for Developers:
Basic course

GenAI for Developers:
Basic course

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.

AI development Training – upcoming dates

coming soon

GenAI for Developers in one day

Designed for AI software developers and AI software engineers, this program covers critical skills in AI software development and generative AI coding.
This course is designed for IT professionals who want to understand and leverage the power of Large Language Models for their applications and operations. The participants must have basic software engineering skills and be familiar with python or similar languages. The course itself will be conducted in Python.

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…

  • 1
    Understand the architecture and training techniques of LLMs
  • 2
    Craft effective prompts for various language processing tasks
  • 3
    Integrate vector databases with LLMs for efficient information retrieval
  • 4
    Design and deploy intelligent agents powered by LLMs
  • 5
    Apply learned concepts to real-world scenarios through practical exercises

The Gen AI Developer course is perfect for you if…

  • You are an IT professional seeking to leverage LLMs in your work
  • You have basic software engineering skills and familiarity with Python
  • You are interested in enhancing your knowledge of AI and NLP technologies

The GenAI for Developers training is not suitable for you if…

  • You have no background in software engineering or programming
  • You are not familiar with Python
  • You are looking for a non-technical introduction to AI

Agenda

Training

For small companies and teams that are new to the topic.

  • History and Evolution of LLMs
  • Understanding the Basics: How LLMs Work
  • Key Players and Technologies in the Field
  • Potential applications of LLMs in various domains
  • Recap of AI, Machine Learning, and Deep Learning
  • Basics of NLP
  • Introduction to Prompting
  • Anatomy of Prompts
  • Types of Prompts
  • Introduction of Vector Databases
  • Embedding Models
  • Working with Vector Databases
  • Understanding Search Algorithms
  • Insights into different agent architectures and dialogue management
  • Practical applications in fields like chatbots, content generation, etc.

Customized

For large companies and teams that want to master special challenges.

  • Your ecosystem
  • Your best practices
  • Your problems and topics
  • History and Evolution of LLMs
  • Understanding the Basics: How LLMs Work
  • Key Players and Technologies in the Field
  • Potential applications of LLMs in various domains
  • Recap of AI, Machine Learning, and Deep Learning
  • Basics of NLP
  • Introduction to Prompting
  • Anatomy of Prompts
  • Types of Prompts
  • Introduction of Vector Databases
  • Embedding Models
  • Working with Vector Databases
  • Understanding Search Algorithms
  • Insights into different agent architectures and dialogue management
  • Practical applications in fields like chatbots, content generation, etc.

Hear from our satisfied training attendees

A1 Telekom Austria AG

Reinhard Burgmann
Head of Data Ecosystem

„UTA coached my team along the development process of the migration plan of our on premises data lake to the public cloud.

The outstanding level of expertise, both on a technical and organizational level, ensured a well-structured and realistic migration plan including timeline, milestones, and efforts.

The enablement of my team was at the center of a very smooth collaboration. Through UTA, we achieved our goal faster and reduced risks of the migration project significantly.

I highly recommend UTA’s services!“

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

949 €plus VAT.
  • 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

Professional Software Architect, Ultra Tendency

Hudhaifa Ahmed

Senior Lead Big Data Developer Berlin Territory Manager, Ultra Tendency

Matthias Baumann

Chief Technology Officer Principal Big Data Solutions Architect Lead, Ultra Tendency

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.