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

This live, instructor-led training in Thailand, offered online or onsite, targets AI engineers and software developers from beginner to intermediate levels who aim to establish a foundational understanding of AI engineering principles and practices.

Upon completing this training, participants will be capable of:

• Understanding the core concepts and technologies driving AI and machine learning.
• Implementing basic machine learning models with TensorFlow and PyTorch.
• Applying AI techniques to solve real-world problems in software development.
• Managing and maintaining AI projects through established best practices.
• Recognizing the ethical implications and responsibilities in AI system development.

This two-day, hands-on initiative aims to equip participants with the practical skills required to leverage Generative AI tools safely, consistently, and effectively in their technical and daily operations. The training concentrates on utilizing AI as a reliable daily assistant for creating and refining documentation, organizing requirements, expediting analysis and reports, aiding in problem resolution, and enhancing cross-departmental communication. Attendees will master proven prompting patterns, verification techniques to mitigate errors and “hallucinations,” and simplified governance practices to secure confidential information and intellectual property. The course is structured to yield instantly usable templates, workflows, and a consistent method for AI-supported work.

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

Upon completing this training, participants will be equipped to:

• Grasp the advanced theoretical concepts and underlying technologies driving AI and ML.
• Analyze and visualize data to guide the development of effective AI/ML models.
• Efficiently build, train, and deploy AI/ML models.
• Engineer intelligent applications capable of addressing real-world challenges.
• Assess the ethical implications of AI deployments across various industries.

This live, instructor-led training in Thailand (delivered online or onsite) is tailored for entry-level IT professionals aiming to establish a foundational understanding of intelligent applications and their industry-specific implementations.

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

• Understanding the evolution, core tenets, and influence of artificial intelligence.
• Recognizing and utilizing various machine learning algorithms.
• Effectively managing and analyzing data for AI-driven solutions.
• Evaluating the practical use cases and limitations of AI in diverse sectors.
• Discussing the ethical considerations and societal impact of AI technology.

This live, instructor-led training in Thailand—delivered either online or onsite—targets intermediate to advanced data scientists, engineers, and AI professionals aiming to master the nuances of intelligent applications and deploy them to solve complex real-world issues.

By the conclusion 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.

Conducted by an instructor, this live training takes place in Thailand (either online or in-person). It is designed for data scientists and software developers ranging from beginner to intermediate levels who aim to explore Milvus and its practical use cases in various AI contexts.

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

• Comprehending the architecture and key features of Milvus.
• Deploying vector databases across different AI applications.
• Conducting similarity searches with optimal accuracy and performance.
• Applying Milvus to address real-world AI challenges.

This instructor-led, live training in Thailand (available online or onsite) targets beginner to intermediate-level data scientists and software developers eager to learn how to leverage Pinecone for various AI scenarios, including semantic search and personalization.

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

• Understand the underlying architecture and features of Pinecone.
• Implement vector databases across different AI applications.
• Conduct similarity searches with high precision and speed.
• Utilize Pinecone to solve real-world AI problems.

Artificial Intelligence is quickly establishing itself as the cornerstone of contemporary product management—fundamentally altering how we identify customer needs, craft solutions, and make strategic decisions. Much like the industrial revolution driven by electricity, AI is transforming the ways products are designed, validated, and iterated.

This live, instructor-guided training session, available either online or on-site, is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to harness the power of AI to enhance their product ownership capabilities and refine their decision-making processes.

Upon completion of this program, 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 stance—and leverage AI to reinforce each role, such as Visionary, Experimenter, or Customer Representative.
• Develop proficiency in effective prompting techniques, viewing AI tools as skilled collaborators rather than mere utilities.
• Enhance customer insight by creating AI-assisted personas for hypothesis testing and discovery, while preserving genuine human connection with users.
• Articulate a clear product vision using structured models like the 3x3 Framework, utilizing AI to refine and visualize narrative structures.
• Employ Generative AI to speed up prototyping and hypothesis validation, including the creation of mock-ups and product concepts.
• Facilitate product decisions by using AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Streamline routine operational tasks—such as email management, stakeholder coordination, and note-taking—via AI, allowing more time for strategic and creative endeavors.
• Guide conversations surrounding AI ethics, bias, and data security to ensure responsible and sustainable implementation.
• Pinpoint and craft meaningful AI use cases that align with specific product goals and organizational contexts.
• Explore and test approximately 20 diverse AI tools and models, ranging from productivity aids and prototyping platforms to generative video, image, and coding solutions.

This live, instructor-led training session (available online or onsite) is designed for beginner-level software developers and database administrators aiming to acquire foundational knowledge of vector databases, encompassing their structure, functionality, and real-world applications.

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

• Comprehend the fundamental concepts and utility of vector databases.
• Identify key distinctions between vector databases and conventional database technologies.
• Master basic methods for creating and handling vector data.
• Conduct simple similarity searches.
• Recognize the contribution of vector databases to AI application development.

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

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

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