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

This instructor-led, live training in South Korea (available online or onsite) targets beginner to intermediate-level AI engineers and software developers aiming to establish a foundational understanding of AI engineering principles and practices.

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

• Understand the core concepts and technologies behind AI and machine learning.
• Implement basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to solve practical problems in software development.
• Manage and maintain AI projects using best practices in AI engineering.
• Recognize the ethical implications and responsibilities involved in developing AI systems.

Over the course of two intensive days, this hands-on program empowers participants to integrate Generative AI tools into their technical and operational workflows with precision, safety, and consistency. The curriculum is designed to transform AI into a dependable daily companion for enhancing documentation, organizing requirements, speeding up analysis and reporting, facilitating problem resolution, and optimizing cross-functional communication. Attendees will master established prompting strategies, learn validation methods to mitigate errors and 'hallucinations,' and adopt streamlined governance practices that safeguard confidential data and intellectual property. By the end of the session, participants will possess immediately applicable templates, optimized workflows, and a sustainable framework for AI-assisted productivity.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate to advanced AI professionals and software developers who wish to build smart applications using AI and ML.

By the end 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 development.
• Effectively build, train, and deploy AI/ML models.
• Create smart applications capable of solving real-world problems.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in South Korea (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 South Korea (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 analyze 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.
• Utilize 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 South Korea (online or onsite) targets data scientists and software developers from beginner to intermediate levels who wish to explore Milvus and its practical applications in various AI contexts.

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 South Korea (online or onsite) is designed for beginner-to-intermediate level data scientists and software developers aiming to learn how to apply Pinecone to various AI scenarios, from semantic search to personalization.

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

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

Artificial Intelligence is increasingly establishing itself as the core pillar of contemporary product management, fundamentally altering the methods used for uncovering customer requirements, formulating solutions, and driving strategic decisions. Much like the advent of electricity transformed industrial landscapes, AI is redefining the way products are architected, validated, and iterated.

This live, instructor-led program—available in both online and onsite formats—is specifically designed for Product Owners, Scrum Masters, and Agile Coaches seeking to grasp how AI can augment product ownership responsibilities and fortify decision-making processes.

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

• Grasp the core principles of Artificial Intelligence and clearly distinguish between traditional AI systems and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner (including the newly introduced Orchestrator stance) and utilize AI to reinforce each role, such as the Visionary, Experimenter, or Customer Representative.
• Master the art of effective prompting, treating AI tools as intelligent partners with distinct specialized capabilities.
• Enhance customer insights by developing AI-assisted personas for hypothesis testing and discovery, ensuring a balance with genuine customer engagement.
• Craft and articulate a compelling product vision using structured methodologies like the 3x3 Framework, leveraging AI to refine and visualize strategic narratives.
• Accelerate prototyping and hypothesis validation by employing Generative AI tools to generate mock-ups or initial product concepts.
• Strengthen product decision-making by utilizing AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Liberate time for strategic and creative pursuits by automating or delegating routine operational tasks, such as email management, stakeholder coordination, and note-taking, through AI assistance.
• Facilitate discussions on AI ethics, bias, and data security to ensure a responsible and sustainable adoption strategy.
• Identify and design high-value AI use cases that are tailored to specific product requirements and organizational contexts.
• Explore and experiment with approximately 20 diverse AI tools and models, ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.

This instructor-led, live training in South Korea (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:

• Grasp the concept and purpose of vector databases.
• Distinguish between vector databases and traditional databases.
• Master basic techniques for creating and managing vector data.
• Conduct simple similarity searches.
• Appreciate the role of vector databases in AI applications.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate to advanced 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.