GenAI for Developers

    AI Evolution Training: From Basics to LLM and GenAI

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    Learn artificial intelligence and LLM training in our 2-day LLM course, which combines theory and practice:

    • Understanding evolution of AI/ML

    • Basics in ML, Deep Learning, NLP

    • Artificial intelligence training with a focus on LLMs

    • Practical skills: prompt design, LLM use

    • Expertise in LLM implementation and optimization

    • Final project with advanced techniques

    Develop comprehensive AI skills in our artificial intelligence training

    1.849,00 € plus VAT.
    Schedules

    Agendas

    Content
    		TrainingCustomized
    01. History of Machine Learning and Artificial Intelligence
    02. Fundamentals of Machine Learning, Deep Learning, and NLP
    03. Introduction to LLMs for Developers
    04. Basics of Prompt Design and Interaction
    05. Vector Databases and Embeddings
    06. Quantization in LLMs
    07. Deployment Strategies for LLMs
    08. Monitoring LLM Applications
    09. Fine-Tuning and Merging LLMs

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    What you will learn:

    1. Comprehensive Understanding of AI and ML Evolution:

      • Grasp the historical development of ML and AI, with a focus on the rise and impact of General AI (GenAI).

    2. Foundational Knowledge in ML, Deep Learning, and NLP:

      • Acquire foundational principles of machine learning, deep learning, and Natural Language Processing.

    3. Practical Skills in LLMs Utilization and Prompt Design:

      • Master the use of Large Language Models in software development, including effective prompt crafting and LLM interaction techniques.

    4. Expertise in LLM Deployment, Monitoring, and Optimization:

      • Learn strategies for deploying and monitoring LLM applications, and apply quantization and optimization techniques for performance enhancement.

    5. Advanced Techniques and Real-World Application:

      • Develop skills in fine-tuning and merging LLMs, culminating in a capstone project to apply these skills in a real-world scenario.

    Who Should Attend:

    This course is ideal for software and DevOps engineers looking to expand their skill set into the dynamic world of AI and ML, mainly focusing on the practical aspects of LLMs and GenAI. It's tailored for professionals eager to stay at the forefront of technological advancements and apply AI innovations in their work.

    Prerequisites:

    1. Proficiency in Python Programming:

      • Solid understanding of Python, including experience with its syntax and common libraries.

      • Ability to write and debug Python code, as the course will extensively use Python for demonstrations and exercises.

    2. Experience with Software Development Practices:

      • Experience in software development, including familiarity with version control systems like Git.

      • Understanding of common software development workflows and lifecycle.

    3. Comfort with Command Line Interfaces:

      • Ability to navigate and use command line interfaces, which may be used for certain exercises and deployments.

    Hardware & Infrastructure 

    You will 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. That VM will have a running Kubernetes cluster where you can test and run the training instructions. You can access the machine via a browser or SSH if you’d like, and your network's restrictions allow you to.  You will learn:  

    Meet the trainer

    Marvin 6
    Marvin Taschenberger
    Professional Software Architect, Ultra Tendency