Online Agentic AI Training in Malaysia

This live training in Malaysia examines how agentic AI is transforming organizational workflows, talent strategies, and job design. Perfect for intermediate professionals, the course covers autonomous decision-making, enterprise readiness, and governance frameworks to facilitate responsible and compliant AI adoption.

This instructor-led bootcamp in Malaysia provides a hands-on journey to develop autonomous AI agents in Python. Participants complete five progressive projects covering design patterns, API orchestration, and multi-agent workflows, transitioning from theory to real-world deployment.

This practical course in Malaysia walks you through the deployment of agentic AI on devices with limited resources. Master the skills to build, optimize, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, thereby boosting speed, privacy, and system reliability.

This live, instructor-led training in Malaysia delves into agentic AI, exploring prompt engineering, architectural patterns, and ethical usage. Participants will learn to create simple agent workflows using Python, integrate external tools, and apply safety measures to ensure autonomous systems are effective, secure, and scalable.

This instructor-led, live training in Malaysia guides intermediate professionals on designing and scaling agentic AI for business automation. Learn to map workflows, integrate tools, and build practical use cases in customer service, supply chain, and marketing, ensuring measurable impact.

This live training program in Malaysia empowers advanced professionals to design and implement multi-agent systems using Python. The curriculum covers agent coordination, reinforcement learning, and distributed computing, utilizing frameworks such as Mesa and Ray, and concludes with a hands-on capstone project.

This instructor-led training in Malaysia focuses on reinforcement learning and decision-making for agentic AI. Participants will implement DQN, PPO, and A3C using Python, model environments with OpenAI Gym, and integrate these methods into robotics and planning systems to achieve real-world adaptive behavior.

This live training in Malaysia empowers advanced professionals to scale and operationalize agentic AI systems in production. By covering MLOps, observability, and cost control, it enables the design of resilient, observable, and cost-optimized pipelines for large-scale deployments.

This instructor-led live session in Malaysia guides BI professionals in modernizing their legacy systems with WrenAI. You will learn to assess current environments, strategize the migration to conversational analytics, and direct change management initiatives to secure successful adoption and measurable business impact.

This instructor-led training in Malaysia focuses on governance, identity management, and red-teaming for agentic AI systems. It empowers advanced practitioners to design secure deployments, implement least-privilege access controls, and conduct adversarial testing to mitigate real-world threats in production settings.

This instructor-led live session in Malaysia centers on the practical application of Python in autonomous AI agents. By exploring modern SDKs such as LangChain and AutoGen, engineers gain the confidence to construct, connect, and orchestrate complex agent workflows.

This instructor-led training in Malaysia assists finance professionals in using WrenAI to model KPIs and design regulatory-compliant dashboards. Participants will acquire practical skills in integrating data sources, ensuring audit compliance, and developing risk management reports to support effective decision-making.

This live, instructor-led training in Malaysia covers practical Python techniques for building autonomous agents, including agent loops, tool integrations, memory management, orchestration, and safety controls. Ideal for ML engineers, it focuses on deploying robust, production-ready agents.

This instructor-led program within Malaysia empowers advanced professionals with key skills for maintaining WrenAI quality. Learners will gain the ability to verify NL-to-SQL precision, apply prompt optimization techniques, and deploy observability frameworks. This course is ideal for guaranteeing enterprise-level dependability and adherence to compliance standards.

This instructor-led, live training in Malaysia (online or onsite) is designed for intermediate-level AI developers and automation specialists seeking to embed agentic capabilities into AI-powered applications.

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

• Grasp the core principles of agentic AI and autonomous decision-making.
• Build goal-driven AI agents utilising self-optimisation techniques.
• Integrate multi-agent collaboration to tackle complex problems.
• Improve AI-human interaction through adaptive user experiences.
• Deploy agentic AI models in real-world scenarios.

This live, instructor-led training in Malaysia empowers operations professionals to master WrenAI Spreadsheets and the Metrics Library. Gain the skills to construct AI-driven reports, integrate live data, and optimize workflows to boost operational analytics and ensure efficient business reporting.

This instructor-led, live training in Malaysia (online or onsite) targets advanced-level professionals who wish to develop and optimize multi-agent systems utilizing Agentic AI frameworks.

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

• Understand the fundamental principles of Agentic AI in multi-agent environments.
• Develop AI-driven agents capable of autonomous interaction.
• Implement reinforcement learning for adaptive AI behavior.
• Optimize multi-agent collaboration and competition.
• Apply Agentic AI in robotics, gaming, and enterprise automation.

This live, instructor-led training held in Malaysia empowers intermediate engineers to harness the WrenAI API for real-world applications. Attendees will acquire the skills necessary to generate SQL from natural language, design and embed visual charts, and integrate the API into backend systems and internal operational tools.

This instructor-led, live training in Malaysia (online or onsite) is designed for advanced-level professionals who want to utilise Agentic AI for enterprise-scale automation and strategic AI adoption.

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

• Comprehend the role of Agentic AI in enterprise applications.
• Integrate autonomous AI agents with enterprise systems.
• Optimize AI-driven workflows for scalability and efficiency.
• Ensure compliance, security, and governance in AI automation.
• Develop AI-driven business strategies for digital transformation.

This practical, hands-on training in Malaysia walks data professionals through the process of initializing WrenAI Cloud, linking diverse data sources, and structuring data for analytical purposes. Learners will discover how to refine information and construct interactive dashboards that provide actionable business insights.

This instructor-led, live training in Malaysia (online or onsite) is tailored for advanced professionals seeking to harness Agentic AI for decision-making in complex business and technical contexts.

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

• Grasp the foundational principles of autonomous decision-making in AI.
• Design and deploy AI agents capable of operating with minimal human oversight.
• Integrate Agentic AI seamlessly into automation workflows and business systems.
• Enhance AI-driven decision processes for greater efficiency and scalability.
• Uphold compliance, security, and ethical standards in AI autonomy.

In Malaysia, discover how to develop robust semantic layers and refine text-to-SQL capabilities using WrenAI OSS. This advanced training for data and ML professionals focuses on prompt adjustment, guardrail deployment, and the smooth integration of the tool into pipelines and analytics workflows to guarantee dependable performance.

This instructor-led, live training in Malaysia (online or onsite) is aimed at intermediate-level AI engineers, ML researchers, and developers who wish to build and implement Agentic AI systems in real-world applications.

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

• Understand the core principles of Agentic AI systems.
• Implement AI agents capable of autonomous reasoning and action.
• Integrate Agentic AI with APIs and third-party services.
• Optimize multi-agent interactions for complex tasks.
• Address ethical, security, and scalability challenges in Agentic AI.

This live training in Malaysia supports SaaS teams in embedding WrenAI's GenBI capabilities into customer-facing products via the Embedded API. The curriculum focuses on configuring white-label analytics, designing secure multi-tenant architectures, and optimizing performance while ensuring adherence to compliance standards in modern, scalable SaaS landscapes.

This instructor-led, live training in Malaysia (online or onsite) is aimed at beginner-level professionals who wish to understand the fundamental principles of Agentic AI, its capabilities, and its potential impact on industries.

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

• Understand the core principles of Agentic AI.
• Differentiate between traditional AI and autonomous AI agents.
• Explore real-world applications of Agentic AI in various industries.
• Assess the benefits and challenges of deploying autonomous AI systems.
• Analyze the ethical and security considerations of Agentic AI.

This instructor-led training in Malaysia empowers product teams with the skills necessary to adopt WrenAI for conversational analytics. Participants will learn to design reliable NL-to-SQL workflows, standardize metrics, and embed self-service BI dashboards directly into their daily product management processes.

This five-day course in Malaysia empowers finance professionals with expertise in advanced analytics, AI-assisted Python, and agentic AI. You will learn to construct intelligent dashboards, streamline GL operations, and design autonomous workflows that support financial analysis, reporting, and strategic decision-making.

This intensive one-day programme offers software engineers, technical leads, and development teams a practical framework for effectively utilising AI coding agents within real-world software projects. Moving beyond simple prompting techniques, the course delves into the entire agent ecosystem, covering context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback loops, security measures, and organisational adoption strategies.

AI agents are transitioning from research prototypes to production-grade systems capable of autonomous operation across text, image, speech, and tool-driven workflows. This shift elevates the standards for engineering rigour, adversarial robustness, and regulatory compliance. Designed as instructor-led training, this programme guides advanced practitioners through the complete agent lifecycle—from architecting single and multi-agent architectures to integrating multi-modal perception and coordinating complex agent behaviours using contemporary frameworks. Through progressively challenging Python-based labs, participants construct a production-ready multi-agent system, subsequently stress-testing it with adversarial techniques and the Adversarial Robustness Toolbox. The course concludes by addressing alignment with the NIST AI RMF, ISO/IEC 42001, EU AI Act, and GDPR, alongside secure deployment strategies, monitoring protocols, and incident response procedures. By the end, participants will be equipped to deploy agents that are not only capable but also defensible and compliant.

This instructor-led, live training in Malaysia (online or onsite) is aimed at beginner-level / intermediate-level developers and cloud practitioners who wish to use Alibaba Cloud to build AI agents that can automate tasks, answer questions, and connect with business systems.

By the end of this training, participants will be able to: understand AI agent architecture on Alibaba Cloud, build a simple agent workflow, connect an agent to enterprise knowledge and tools, deploy and monitor an agent in a cloud environment.

This live, instructor-led course in Malaysia is designed for mid-level developers who want to design, construct, and test AI agents using the Claude API and Agent SDK.

After completing this training, participants will be equipped to:

• Leverage the Messages API, including system prompts, structured outputs, and streaming
• Establish tools and execute reliable tool-use loops
• Integrate agents with external systems via MCP servers
• Develop and run agents using the Claude Agent SDK, addressing permissions and subagents
• Minimize costs and latency by employing prompt caching and optimized context handling
• Test, log, and oversee agent behavior using a small evaluation dataset

Instead of responding to individual prompts, Claude Cowork manages comprehensive workflows such as research, document creation, and file management. This course instructs learners on drafting effective assignments, verifying execution plans, and assessing final deliverables. Participants will delegate three practical tasks and configure an automated scheduled task.

This live, instructor-led training in Malaysia is tailored for knowledge workers, administrative assistants, and project or department leads who aim to transition from step-by-step conversations to full task delegation within Claude.

Upon completion, participants will be able to:

• Differentiate between chat interactions and delegated work within Cowork
• Define assignments by specifying goals, materials, constraints, and acceptance criteria
• Create documents, spreadsheets, and presentations from designated folders
• Oversee the entire research process, from initial questions to the completed report
• Utilize plugins, skills, and connectors within Cowork
• Implement approval checkpoints, backup strategies, and secure folder access

Course Format

• Duration: 1 day (7 hours)
• Interactive training with a trainer, including discussions and hands-on exercises based on participants' use cases
• Day 1 Outcome: Each participant will have delegated three real tasks to Cowork, reviewed the outputs, and set up a scheduled task.

Customization Options

• To request a customized version of this training, please contact us for arrangements.

Agents empower teams to respond to knowledge queries and assist with document processes in a managed manner. This two-day course addresses Agent Builder on Day 1 and Copilot Studio, including approval steps and test cases, on Day 2. Participants will conclude the program with a tested knowledge agent and a draft for a Studio agent.

This instructor-led, live training in Malaysia is designed for: Key users, AI champions, and department leads who wish to develop their own Copilot agents for answering knowledge questions and managing document processes.

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

• Assess when Copilot Chat is sufficient and when an agent provides greater value
• Construct a knowledge agent in Agent Builder, specifying the audience, knowledge sources, and limitations
• Understand the composition of a Copilot Studio agent and create an initial agent
• Segment document processes into reviewable steps that incorporate human approval
• Test agents using defined test cases and acceptance criteria
• Categorize roles, permissions, licenses, and operational aspects

Course Format

• Duration: 2 days (7 hours each)
• Interactive training with a trainer, involving discussions and hands-on exercises focused on participants' own use cases
• Day 1 Outcome: Each participant will have a tested knowledge agent and a tool map for their work cases.
• Day 2 Outcome: Each participant will have a draft for a Studio agent with approval features, two tested process cases, and a roadmap for their use cases.

Course Customization Options

• To request a customized version of this training, please contact us to make arrangements.

Enable an assistant to retrieve insights from corporate documents, providing accurate answers regarding policies, manuals, and processes while clearly citing the source. This course guides you through preparing documents, selecting the right platform, developing the agent without writing code, and evaluating its responses using a structured question catalog. Participants will also draft a comprehensive maintenance plan.

This instructor-led, live training in Malaysia is designed for teams, knowledge owners, and key users seeking to deliver answers sourced directly from their own documents, policies, and manuals.

Upon completing this training, participants will be equipped to:

• Comprehend how AI generates answers from documents (a simple explanation of RAG) and recognize its limitations
• Prepare documents to ensure the accuracy of AI-generated responses
• Select the most suitable platform for deploying a knowledge agent
• Construct and distribute a knowledge agent without requiring coding skills
• Validate answers using a question catalog and source references
• Establish maintenance protocols, roles, and content currency for ongoing operations

Course Format

• Duration: 1 day (7 hours)
• Interactive training sessions featuring an instructor, discussions, and hands-on exercises tailored to participants' specific use cases
• Day 1 Outcome: Each participant will leave with a shared knowledge agent based on their own documents, a measured hit rate, and a defined maintenance plan.

Customization Options

• Please contact us to arrange a customized training experience for this course.

Langdock consolidates a variety of AI models, intelligent assistants, corporate knowledge bases, and operational workflows into a single unified platform for enterprises. This course focuses on practical daily applications, including engaging in chat, developing and sharing custom assistants, integrating knowledge sources, and configuring workflows that include human oversight. Additionally, it addresses the establishment of governance frameworks regarding data handling, user roles, and organizational rollout strategies.

This live, instructor-led training in Malaysia is designed for departments and key personnel within organizations that are either currently utilizing or in the process of implementing Langdock as their central AI hub.

Upon completing this training, participants will be equipped to:

• Operate Langdock with confidence, encompassing its chat interface, model selection, assistant management, knowledge integration, and workflow automation.
• Select the most appropriate AI model for specific task requirements.
• Develop and distribute team assistants configured with tailored instructions and company-specific knowledge.
• Integrate platforms such as SharePoint, OneDrive, and other repositories as structured knowledge bases.
• Configure straightforward workflows that incorporate human approval steps.
• Establish internal policies governing data usage, role definitions, and approval mechanisms.

Course Format

• Duration: Two full days (7 hours per day), with an alternative option available as four half-day online sessions.
• An interactive learning experience featuring direct trainer engagement, facilitated discussions, and hands-on exercises tailored to participants' specific use cases.
• Day 1 Outcome: Each participant will have created a custom template, a dedicated knowledge folder, and a shared assistant tailored to their specific domain.
• Day 2 Outcome: Each participant will have established a functional workflow with approval gates, connected a relevant knowledge source, and formulated a 30-60 day implementation plan.

Customization Options

• To discuss customized training needs for this course, please reach out to our team for arrangements.

This live, instructor-led training in Malaysia (delivered online or on-site) targets professionals at the beginner to intermediate level who wish to automate a real-world process and build their first AI agent using Make within one day.

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

• Create Make scenarios integrated with common business applications.
• Incorporate an AI model and a foundational agent into a scenario.
• Operate scenarios with robust error handling and continuous monitoring.

This live, instructor-led training on Malaysia (available online or onsite) is tailored for intermediate-level business professionals seeking to build automated workflows and AI agents in n8n without coding.

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

• Create n8n workflows integrated with everyday business applications.
• Implement AI models and agents that process company data.
• Operate workflows in daily business functions, including error handling, approvals, and monitoring.

This live, instructor-led training in Malaysia is designed for intermediate professionals seeking to streamline business operations and create their first AI agent using Make.

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

• Structuring no-code workflows in Make using triggers and webhooks.
• Linking AI agents to organizational data within a flow.
• Automating complete business processes, including robust error handling and monitoring.

Personal AI agents streamline workflows by triaging emails, scheduling appointments, generating briefings, and automating daily routines like morning summaries. This intensive one-day workshop guides you through configuring a personalized agent, including custom contexts, tool integration, and robust protocols for approval and data security. By the conclusion, participants will have a fully operational agent equipped with two automated routines.

Delivered as a live, instructor-led session in Malaysia, this training is designed for professionals, executive assistants, project managers, and entrepreneurs seeking to deploy a personal AI assistant tailored to their specific operational needs.

Upon completion, participants will gain the capability to:

• Distinguish between tasks suitable for AI delegation and those requiring human oversight
• Construct a robust personal context profile encompassing role-specific instructions and notes
• Streamline email and calendar management using AI while retaining full executive control
• Automate the preparation of meetings and conversations through generated briefings
• Implement automated routines, such as morning briefings and weekly performance reviews
• Establish clear governance frameworks, including approval workflows and data protection limits

Course Format

• Duration: One day (7 hours)
• Interactive learning with a dedicated trainer, featuring discussions and hands-on exercises focused on participants’ real-world scenarios
• Deliverable: Each participant exits with a configured agent, linked email and calendar access, and two active automated routines.

Customization Options

• To tailor this training to your specific requirements, please contact us to discuss customization possibilities.

This live, instructor-led training in Malaysia is targeted at managers, assistants, and knowledge workers.

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

• Manage email and calendars efficiently using AI support
• Speed up the preparation of meetings and research tasks
• Set up a personal assistant aligned with their specific preferences
• Ensure the protection of personal and company data