This course benefits your team by enhancing language processing capabilities and optimizing model performance, enabling efficient information retrieval, and improving customer experiences with LLMs.
Embark on a transformative journey with our immersive LLMs training program today
Who is this for?
IT professionals and more
IT professionals and more
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.
In-depth Coverage: LLMs (Large Language Models) Training Course
Introduction to Large Language Models
Explore the fascinating world of Large Language Models (LLMs), understanding their capabilities, limitations, and potential applications in various domains.
Fundamentals of Prompt Engineering
Learn the essential techniques and strategies for effectively crafting prompts to elicit desired responses from LLMs, enabling more precise and controlled language generation.
Intro into Vector Databases for LLMs
Delve into the concept of vector databases specifically designed for LLMs, understanding their unique data structures and query mechanisms for efficient storage and retrieval of language-based information.
Integration of Vector Databases with LLMs
Discover how to seamlessly integrate vector databases with LLMs, leveraging their complementary strengths to enhance performance, scalability, and versatility in language-based applications.
Agent Architectures and Dialogue Management
Gain insights into different agent architectures and dialogue management approaches, exploring the intricacies of building conversational agents powered by LLMs.
Real-world Applications of LLM-based Agents
Explore the wide range of practical applications where LLM-based agents excel, from virtual assistants and customer support chatbots to content generation and language understanding systems.
Hands-on Exercises and Projects to Apply Learned Concepts
Put your knowledge into practice through hands-on exercises and projects, allowing you to apply the concepts and techniques learned throughout the training and gain valuable practical experience.
Future topics shaped by your team's needs
The journey doesn't stop here! Depending on your team's requirements, we're ready to introduce future topics or additional technology training, providing an adaptable learning experience you won't find elsewhere.
Program Goal
What You Will Take Away
Upon completion of this course, participants will have:
A thorough understanding of the fundamentals of Large Language Models, including their architecture, training techniques, and state-of-the-art advancements.
Proficiency in prompt engineering techniques to optimize and frame effective prompts for specific language processing tasks.
Knowledge of vector databases and their integration with LLMs for efficient information retrieval and similarity-based operations.
Skills to design, develop, and deploy intelligent agents that can interact with LLMs for various applications, such as virtual assistants and chatbots.
Practical experience through hands-on exercises and projects that allow participants to apply the concepts learned to real-world scenarios.
Hear from our satisfied course attendees
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!
Reinhard Burgmann
Head of Data Ecosystem, A1 Telekom Austria AG
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 of 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.
Bernard Benning
Vattenfall, BA Heat
Meet the Trainers
Matthias Baumann
Chief Technology Officer & Principal Big Data Solutions Architect Lead, Ultra Tendency
Hudhaifa Ahmed
Senior Lead Big Data Developer & Berlin Territory Manager, Ultra Tendency
Marvin Taschenberger
Professional Software Architect, Ultra Tendency
Frequently Asked Questions
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