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

This instructor-led, live training in Serbia (online or on-site) is designed for AI engineers and software developers at beginner to intermediate levels seeking a foundational grasp of AI engineering principles and practices.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts and technologies driving AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Utilize AI techniques to resolve practical software development challenges.
• Effectively manage and maintain AI projects by adhering to industry best practices.
• Awareness of the ethical implications and responsibilities associated with AI system development.

Spanning two days of practical, hands-on training, this program equips participants with the necessary skills to utilize Generative AI tools effectively, safely, and consistently in technical and operational environments. The focus is on establishing AI as a reliable day-to-day assistant for drafting and improving documentation, structuring requirements, accelerating analysis and reporting, aiding problem-solving, and streamlining cross-functional communication. Participants will acquire proven prompting patterns, techniques to verify outputs and reduce errors or “hallucinations,” and lightweight governance practices to protect confidential information and intellectual property. The course is structured to deliver immediately applicable templates, workflows, and a repeatable methodology for AI-assisted work.

This guided, live training in Serbia (online or in-person) is designed for intermediate to advanced AI specialists and software developers aiming to construct smart applications leveraging AI and ML.

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

• Grasp the advanced concepts and technologies underlying AI and ML.
• Analyze and visualize data to guide AI/ML model creation.
• Effectively build, train, and deploy AI/ML models.
• Develop smart applications capable of addressing real-world challenges.
• Assess the ethical implications of AI applications across different industries.

This instructor-led, live training in Serbia (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.

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

• Understand the history, principles, and impact of artificial intelligence.
• Identify and apply different machine learning algorithms.
• Manage and analyze data effectively for AI applications.
• Recognize the practical applications and limitations of AI in different sectors.
• Discuss the ethical considerations and societal implications of AI technology.

This instructor-led, live training in Serbia (online or onsite) is tailored for intermediate to advanced data scientists, engineers, and AI practitioners who aim to master the complexities of intelligent applications and utilize them to address complex, real-world problems.

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

• Implement and evaluate deep learning architectures.
• Deploy machine learning solutions at scale within distributed computing environments.
• Design and implement reinforcement learning models for strategic decision-making.
• Build advanced NLP systems capable of deep language comprehension.
• Apply computer vision techniques for comprehensive image and video analysis.
• Navigate and address ethical implications in the creation and deployment of AI systems.

This instructor-led, live training in Serbia (online or onsite) is aimed at beginner-level to intermediate-level data scientists and software developers who wish to learn about Milvus and its practical applications in various AI scenarios.

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

• Understand the architecture and features of Milvus.
• Implement vector databases in different AI applications.
• Perform similarity searches with high accuracy and speed.
• Apply Milvus to real-world AI challenges.

This live, instructor-led training in Serbia, offered online or on-site, is designed for data scientists and software developers at beginner to intermediate levels who seek to apply Pinecone to a variety of AI contexts, from semantic search to personalized experiences.

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

• Comprehend the architecture and capabilities of Pinecone.
• Deploy vector databases within different AI applications.
• Conduct similarity searches with high accuracy and efficiency.
• Utilize Pinecone to solve practical AI challenges.

Artificial Intelligence is quickly emerging as the cornerstone of contemporary product management, fundamentally altering the way we uncover customer requirements, define solutions, and make critical decisions. Much like electricity transformed industrial processes, AI is redefining the lifecycle of how products are created, validated, and iterated.

This live, instructor-led course, available both online and on-site, is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to leverage AI to enhance their ownership practices and decision-making capabilities.

Upon completion, participants will be equipped to:

• Grasp the core concepts of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Utilize AI to reinforce the seven key stances of a Product Owner—such as Visionary, Experimenter, and Customer Representative, as well as the newly introduced Orchestrator stance.
• Master the art of effective prompting, treating AI tools as intelligent partners with specific capabilities.
• Enhance customer insight by creating AI-assisted personas for hypothesis testing and discovery, all while preserving genuine customer interactions.
• Articulate a clear product vision using structured approaches like the 3x3 Framework, utilizing AI to refine and visualize narratives.
• Expedite prototyping and hypothesis testing with Generative AI tools, including the creation of mock-ups and product concepts.
• Inform product decisions by leveraging AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Streamline routine administrative tasks—such as email management, stakeholder communication, and note-taking—through AI, allowing more focus on strategic and creative endeavors.
• Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable implementation.
• Identify and craft valuable AI use cases that align with specific product and organizational needs.
• Experiment with approximately 20 diverse AI tools and models, ranging from productivity aids and prototyping platforms to generative video, image, and coding solutions.

This instructor-led, live training in Serbia (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 Serbia (online or onsite) is designed for intermediate to advanced-level data scientists and machine learning engineers who wish to master the use of vector databases for scalable, high-performance AI applications.

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

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