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

This guided, live training in Uzbekistan (online or in-person) is designed for beginner to intermediate AI engineers and software developers who aim to build a foundational understanding of AI engineering principles and practices.

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

• Comprehend the central concepts and technologies driving AI and machine learning.
• Construct basic machine learning models using TensorFlow and PyTorch.
• Apply AI methods to resolve practical challenges in software development.
• Manage and sustain AI projects through adherence to AI engineering best practices.
• Acknowledge the ethical implications and responsibilities tied to developing AI systems.

Over the course of two intensive, hands-on days, this program builds the practical competencies required to leverage Generative AI tools with precision, safety, and consistency within technical and operational settings. The curriculum centers on transforming AI into a dependable daily partner for enhancing documentation quality, organizing requirements, speeding up analytical reporting, facilitating problem-solving, and optimizing cross-functional dialogue. Learners acquire established prompting strategies, robust verification methods to mitigate errors and “hallucinations,” and streamlined governance protocols for safeguarding confidential data and intellectual property. The course is structured to yield immediately applicable templates, efficient workflows, and a sustainable framework for AI-augmented professional tasks.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level to advanced-level AI professionals and software developers who wish to build intelligent applications using AI and ML.

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

• Understand the advanced concepts and technologies behind AI and ML.
• Analyze and visualize data to inform AI/ML model development.
• Build, train, and deploy AI/ML models effectively.
• Create intelligent applications that can solve real-world problems.
• Evaluate the ethical implications of AI applications in various industries.

This instructor-led, live training is aimed at anyone who wants to ensure their organisation is compliant, minimises risks, and empowers their workforce to leverage AI safely and ethically.

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

• Understand how AI systems function and their potential applications.
• Identify risks and limitations associated with AI systems.
• Adhere to relevant legal and ethical requirements.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for beginner-level IT professionals seeking a foundational understanding of intelligent applications and their applicability across various industries.

By the conclusion 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 Uzbekistan (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.

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

• Implement and analyse deep learning architectures.
• Apply machine learning at scale in a distributed computing environment.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language understanding.
• Utilise computer vision techniques for image and video analysis.
• Address ethical considerations in the development and deployment of AI systems.

This instructor-led, live training in Uzbekistan (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 instructor-led, live training in Uzbekistan (offered online or onsite) is designed for beginner to intermediate data scientists and software developers who aim to learn how to apply Pinecone to a variety of AI scenarios, from semantic search to personalization.

Upon completing this training, participants will be equipped to:

• Comprehend the underlying architecture and key features of Pinecone.
• Integrate vector databases into various AI applications.
• Execute similarity searches that ensure both high accuracy and rapid performance.
• Leverage Pinecone to address real-world AI challenges effectively.

Artificial Intelligence is steadily establishing itself as a cornerstone of contemporary product management, fundamentally altering the ways in which we identify customer requirements, craft solutions, and make critical decisions. Much like the electrification of industry, AI is redefining the lifecycle of products from their initial construction through validation to continuous evolution.

This live, instructor-led course, available both online and on-site, is designed for Product Owners, Scrum Masters, and Agile Coaches who seek to leverage AI to enhance their ownership responsibilities and fortify their decision-making processes.

Upon completion of this program, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between conventional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the newly introduced Orchestrator stance, utilizing AI to reinforce roles such as Visionary, Experimenter, or Customer Representative.
• Develop proficiency in effective prompting, viewing AI tools as skilled, intelligent collaborators rather than simple utilities.
• Enhance insight into customer behavior by generating AI-assisted personas for discovery and hypothesis testing, all while preserving genuine customer interactions.
• Formulate and articulate a clear product vision using structured methods such as the 3x3 Framework, employing AI to craft and visualize compelling narratives.
• Leverage Generative AI capabilities to expedite prototyping and hypothesis testing, including the creation of mock-ups and conceptual product models.
• Inform product decisions by utilizing AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Delegate or automate routine administrative tasks, such as email management and note-taking, allowing AI to handle these duties so you can concentrate on strategic and creative initiatives.
• Facilitate informed discussions regarding AI ethics, bias, and data security to ensure the responsible and sustainable integration of AI.
• Identify and design impactful AI use cases that are tailored to specific product and organizational needs.
• Engage with and test approximately 20 diverse AI tools and models, ranging from productivity assistants and prototyping platforms to generative solutions for video, image, and code.

This instructor-led live training in Uzbekistan (available online or onsite) is designed for beginner-level software developers and database administrators who wish to learn the fundamentals 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 Uzbekistan (online or onsite) is aimed at intermediate-level 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 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.