An AI Assistant on Your Company Knowledge, Without Code Training Course

This instructor-led, live training in Germany (available online or onsite) targets AI engineers and software developers at the beginner to intermediate level who aim to build a strong foundation in AI engineering principles and practices.

By the conclusion of this program, participants will be capable of:

• Comprehending the underlying concepts and technologies of AI and machine learning.
• Developing basic machine learning models with TensorFlow and PyTorch.
• Applying AI methods to resolve practical software development challenges.
• Managing and maintaining AI projects through established best practices.
• Recognizing the ethical implications and duties associated with creating AI systems.

Over two intensive days, this hands-on workshop empowers participants to master the practical application of Generative AI within technical and operational workflows. The program is centered on integrating AI as a dependable daily partner for enhancing documentation, organizing requirements, expediting analysis and reporting, facilitating problem-solving, and optimizing cross-functional dialogue. Attendees will acquire established prompting strategies, rigorous validation methods to mitigate errors and “hallucinations,” and lean governance protocols designed to safeguard confidential data and intellectual property. The curriculum is structured to deliver immediately applicable templates, streamlined workflows, and a sustainable framework for AI-assisted productivity.

This instructor-led live training in Germany (delivered online or onsite) is specifically tailored for intermediate to advanced AI professionals and software developers aiming to construct intelligent applications using AI and ML.

By the conclusion of this program, participants will have the capability to:

• Master the advanced concepts and technologies underpinning AI and ML.
• Utilize data analysis and visualization techniques to guide AI/ML model development.
• Effectively build, train, and deploy AI/ML models.
• Develop intelligent applications that deliver solutions to practical, real-world problems.
• Critically evaluate the ethical impact of AI applications across various sectors.

This live, instructor-led training is designed for individuals seeking to ensure their organization remains compliant, minimizes operational risks, and empowers the workforce to utilize AI safely and ethically.

Upon completion of this training, participants will be able to:

• Understand the functionality of AI systems and their potential applications.
• Identify the risks and limitations associated with AI systems.
• Adhere to relevant legal and ethical obligations.

This instructor-led, live training in Germany (online or onsite) is intended for IT professionals at the entry level who aim to acquire a foundational understanding of intelligent applications and their potential integration across diverse industries.

By the conclusion of this training, participants will be capable of:

• Comprehending the evolution, underlying principles, and influence of artificial intelligence.
• Recognizing and utilizing various machine learning algorithms.
• Competently managing and analyzing data for AI applications.
• Identifying the real-world applications and constraints of AI in different fields.
• Engaging in discussions regarding the ethical considerations and societal impacts of AI technology.

This live, instructor-led training, offered in Germany (either online or on-site), targets intermediate to advanced data scientists, engineers, and AI practitioners aiming to master the complexities of intelligent applications and utilize them to resolve complex, real-world issues.

By the conclusion of this program, participants will be capable of:

• Implementing and analyzing deep learning architectures.
• Applying machine learning at scale within distributed computing frameworks.
• Designing and executing reinforcement learning models for decision-making processes.
• Developing sophisticated NLP systems for language understanding.
• Utilizing computer vision techniques for image and video analysis.
• Addressing ethical considerations in the development and deployment of AI systems.

This live, instructor-led training is conducted in Germany (either online or on-site) and is designed for data scientists and software developers at beginner to intermediate levels who want to explore Milvus and its practical utility in various AI contexts.

By the end of this session, participants will be able to:

• Grasp the architecture and key features of Milvus.
• Deploy vector databases within different AI applications.
• Carry out similarity searches with optimal accuracy and speed.
• Apply Milvus to address real-world AI problems.

Delivered live by an instructor in Germany (either online or on-site), this training is designed for data scientists and software developers with foundational to intermediate skills. It explores the practical application of Pinecone in various AI contexts, such as semantic search and personalization.

By the conclusion of this training, participants will have the capability to:

• Grasp the architecture and functional aspects of Pinecone.
• Deploy vector databases within diverse AI application landscapes.
• Conduct similarity searches that prioritize both accuracy and velocity.
• Utilize Pinecone to address practical, real-world AI problems.

Artificial Intelligence is swiftly establishing itself as the core of contemporary product management, fundamentally altering how we uncover customer needs, shape solutions, and make informed decisions. Much like the industrial impact of electricity, AI is redefining the way products are conceived, validated, and iterated.

Delivered by an instructor in a live format (either online or on-site), this program is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to integrate AI into product ownership to bolster their decision-making capabilities.

Upon completion, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the newly introduced Orchestrator role, leveraging AI to enhance each perspective—such as the Visionary, Experimenter, or Customer Representative.
• Develop proficiency in effective prompting, viewing AI tools as skilled collaborators rather than just utilities.
• Enhance customer insights and generate AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer interactions.
• Articulate a distinct product vision using structured models like the 3x3 Framework, utilizing AI to craft and visualize compelling narratives.
• Expedite prototyping and hypothesis testing through Generative AI tools, including the creation of mock-ups and product concepts.
• Inform product decisions by employing AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Streamline routine tasks—such as email management, stakeholder coordination, and note-taking—via AI, allowing more focus on strategic and creative endeavors.
• Facilitate conversations regarding AI ethics, bias, and data security to ensure a responsible and sustainable adoption process.
• Identify and craft high-value AI use cases that align with specific product and organizational contexts.
• Engage with and test approximately 20 diverse AI tools and models, ranging from productivity aids and prototyping suites to generative video, image, and code solutions.

This instructor-led, live training in Germany (online or onsite) is aimed at beginner-level software developers and database administrators who wish to learn the basics of vector databases, including their structure, operation, and use cases.

By the end of this training, participants will be able to:

• Understand the concept and purpose of vector databases.
• Recognize the differences between vector and traditional databases.
• Learn basic techniques for creating and managing vector data.
• Perform simple similarity searches.
• Appreciate the role of vector databases in AI applications.

This instructor-led live training in Germany (online or onsite) is tailored for intermediate to advanced data scientists and machine learning engineers aiming to master vector databases for scalable, high-performance AI applications.

By the end of the program, participants will be able to:

• Understand the core principles of vector databases.
• Learn methods for creating and managing vector embeddings.
• Explore indexing strategies optimized for high-dimensional data.
• Develop the skills necessary for efficient similarity searches.
• Apply vector database knowledge to practical machine learning projects.