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

This instructor-led, live training in Malaysia (online or onsite) is designed for beginner to intermediate-level AI engineers and software developers seeking a solid grounding in the principles and practices of AI engineering.

Upon completing this course, participants will be able to:

• Grasp the fundamental concepts and technologies underpinning AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Utilise AI techniques to resolve practical issues within software development.
• Manage and sustain AI projects in accordance with industry best practices.
• Acknowledge the ethical considerations and responsibilities associated with building AI systems.

This two-day, hands-on programme is designed to equip participants with the practical skills needed to utilise Generative AI tools effectively, securely, and consistently within technical and operational workflows. The training aims to transform AI into a dependable everyday assistant for tasks such as drafting and refining documentation, structuring requirements, expediting analysis and reporting, supporting problem-solving efforts, and enhancing cross-functional communication. Learners will acquire established prompting patterns, validation methods to minimise errors and “hallucinations,” and lightweight governance practices that safeguard confidential information and intellectual property. The course is structured to yield immediately applicable templates, workflows, and a sustainable approach to AI-assisted work.

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

Upon completing this training, participants will be able to:

• Grasp the advanced concepts and technologies underpinning AI and ML.
• Analyse and visualise data to guide the development of AI/ML models.
• Effectively build, train, and deploy AI/ML models.
• Develop smart applications capable of solving real-world challenges.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in Malaysia (online or onsite) is designed for beginner-level IT professionals who seek a foundational grasp of intelligent applications and their potential applications across various industries.

Upon completion of this training, participants will be capable of:

• Gaining insight into the history, core principles, and societal impact of artificial intelligence.
• Identifying and implementing various machine learning algorithms.
• Effectively managing and analysing data for AI-driven applications.
• Recognising the practical uses and constraints of AI within different sectors.
• Discussing the ethical considerations and broader societal implications of AI technology.

This instructor-led, live training in Malaysia (online or onsite) targets intermediate to advanced data scientists, engineers, and AI practitioners seeking 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 Malaysia (online or onsite) is designed for beginner to intermediate-level data scientists and software developers seeking to understand Milvus and its practical applications in various AI contexts.

Upon completion of this training, participants will be capable of:

• Grasping the architecture and key features of Milvus.
• Deploying vector databases within diverse AI applications.
• Executing similarity searches with exceptional accuracy and speed.
• Leveraging Milvus to tackle real-world AI challenges.

This instructor-led, live training in Malaysia (delivered online or onsite) caters to data scientists and software developers at beginner to intermediate levels. It is designed for those seeking to learn how to apply Pinecone in various AI scenarios, including semantic search and personalization.

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

• Comprehend the architecture and functional features of Pinecone.
• Deploy vector databases within different AI application frameworks.
• Conduct similarity searches with exceptional accuracy and velocity.
• Apply Pinecone to solve practical, real-world AI challenges.

Artificial Intelligence is quickly emerging as the cornerstone of contemporary product management, fundamentally altering the ways we identify customer needs, craft solutions, and drive decision-making. Much like the advent of electricity transformed industrial capabilities, AI is redefining how products are conceived, validated, and refined.

This live, instructor-led training—available either online or onsite—targets Product Owners, Scrum Masters, and Agile Coaches seeking to grasp how AI can elevate product ownership and fortify strategic decision-making.

Upon completion of this training, 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, while utilizing AI to reinforce each—such as the Visionary, Experimenter, and Customer Representative roles.
• Develop mastery in effective prompting, treating AI tools as intelligent partners possessing specialized capabilities.
• Enhance customer insights and construct AI-assisted personas for hypothesis testing and discovery, all while preserving genuine customer engagement.
• Formulate and articulate a clear product vision using structured methodologies like the 3x3 Framework, utilizing AI to refine and visualize narratives.
• Leverage Generative AI tools to expedite prototyping and hypothesis validation, including the creation of mock-ups and product concepts.
• Inform product decisions by employing AI tools to assess, prioritize, and evaluate features based on value, feasibility, and user impact.
• Streamline or delegate routine operational tasks (such as emails, stakeholder coordination, and note-taking) using AI, allowing for greater focus on strategic and creative initiatives.
• Facilitate dialogues on AI ethics, bias, and data security to guarantee responsible and sustainable AI integration.
• Recognize and design high-value AI use cases that align with specific product and organizational contexts.
• Investigate and practice with approximately 20 distinct AI tools and models, ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.

This instructor-led, live training in Malaysia (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.
• Recognise 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 Malaysia (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.