
Deploying and Securing Advanced Agentic AI Systems
Developing agentic AI systems that operate autonomously is only part of the challenge. Deploying these systems in secure, reliable environments is critical—especially when dealing with high-stakes operations. This advanced workshop is tailored for professionals ready to transition from development to robust, production-level deployment of agentic AI systems. The course focuses on strategies to ensure that these autonomous systems are not only efficient but also secure and compliant with operational standards.
Understand the unique challenges of deploying autonomous, agentic AI systems in high-stakes environments.
Gain insights into secure deployment practices and on-premise integration for agentic workflows.
Learn advanced troubleshooting and integration techniques for maintaining operational continuity.
Develop strategies for scaling agentic AI systems while ensuring strict security and compliance.
Apply your knowledge in hands-on simulation labs focused on the deployment and management of autonomous systems.
Metaskills Institute is a premier Digital Science Institute in Asia that is made up of the most respected and passionate practitioners and leaders, many who are Ph.Ds, in the field of digital science and transformation. Our passion is to support individuals towards Digital Skills Mastery in high job demand areas such as Data Science, Artificial Intelligence, Machine Learning, Web Technologies, amongst others.
With over 8 years of practical experience working on bespoke implementations of data driven strategies that delivers complex prediction and decision-making capabilities to thousands of clients and organizations, our faculty and consultants, together with the organizations that we develop solutions for, have developed training programmes and certification standards that are high and relevant for existing and future industries.
Our faculty has collectively trained more than 10,000 professionals and teach Data Science at renowned Universities at Undergraduate, Masters and Doctoral Levels and deliver corporate training for hundreds of organizations, government and private corporations.
All our trainers are carefully selected and are known to be the best teachers who are patient and experienced in simplifying difficult concepts for learners to grasp easily. We are therefore confident that every certified individual will be well equipped to either advance their careers in their existing jobs or find a new opportunities in Digital Jobs at top organizations. In fact, placement opportunities and scholarships will also be available through our sponsoring organisations for selected candidates at a later stage of certification.

DR JACK HONG
Expertise: Data Science | Artificial Intelligence | Machine Learning | Deep Learning | Business Intelligence | Leadership
Co-founder of Research Room, an A.I. consulting and development outfit that delivers decision-making capabilities for complex use-cases, Dr. Hong specializes in developing prediction and decision engines with the use of alternative data. Some of his notable works include omni-channel content personalization systems, manpower resource optimization using deep reinforcement learning, real estate valuation engines, and highly personalized portfolio strategies using applied artificial intelligence (AI). He is also AI Technology Consultant at Certis Group, Data Science Advisor at Vertex Holdings, advising on Human Conversational AI, Predictive Resource Allocation, Super-Intelligence in Natural Language Capabilities in Finance. He is also CEO of Integrum Global. Adjunct faculty with the Singapore Management University (SMU), and has been actively teaching undergraduate, postgraduate, and professional programmes since 2015. He is also the lead faculty for the highly acclaimed “Leading Digital Transformation” course for MBA students.

DR KE JINGHAO
Expertise: Data Analytics | Data Science | Artificial Intelligence | Machine Learning | Business Intelligence
Dr. Ke is the co-founder of Research Room, a highly trained team of Data Scientists and Analysts with domain expertise in economics, finance, strategy, and business management. He has provided management consulting for and managed teams to help thousands of individuals, SMEs, MNCs and various Singapore Government agencies deliver bespoke implementations of data-driven turn-key technology solutions in areas of complex prediction, decision making, machine learning, deep learning, amongst others. Dr. Ke is also co-founder of JCube Institute and a full-stack programmer well versed in various analytics stacks such as Python, R, SAS, Power BI, Microsoft Analytics and Stata. On top of his work, he is adjunct faculty with the Singapore Management University in his spare time and teaches at Professional, Masters and Undergraduate levels.

DR JONATHAN KHOO
Expertise: Data Science | Artificial Intelligence | Machine Learning | Deep Learning | Business Intelligence
Dr Jonathan Khoo is a full-stack app developer who has successfully delivered many projects on bespoke implementations of data driven strategies that deliver complex prediction and decision-making capabilities to many large organizations. Dr Khoo has published papers in Genetic Programming and a working paper in Energy Prediction. He obtained his Ph.D. at SMU where his dissertation thesis investigates corporate finance through the lens of social network graph analytics, where he found a statistically significant “ownership centrality” effect in firm performance. Prior to that, he completed his Masters in Industrial Engineering and Operations Research at the University of Michigan (Ann Arbor), a year after he received degrees with Highest Honors in Economics and Summa Cum Laude in Electrical Engineering. He is an alumnus of Raffles Institution and Hwa Chong Institution. Dr. Ke is also co-founder of JCube Institute and a full-stack programmer well versed in various analytics stacks such as Python, R, SAS, Power BI, Microsoft Analytics and Stata. On top of his work, he is adjunct faculty with the Singapore Management University in his spare time and teaches at Professional, Masters and Undergraduate levels.
This two-day workshop concentrates on the advanced deployment and operationalization of agentic AI systems. Participants will learn to navigate the challenges of moving autonomous AI workflows from the lab to production. Emphasis is placed on on-premise deployment strategies, security protocols, scalability, and integration with existing operational infrastructures. Real-world simulations and interactive labs provide a deep dive into managing and troubleshooting autonomous systems in controlled environments.
Day 1
Introduction & Course Overview: Overview of deployment challenges and the importance of secure, autonomous systems.
Agentic AI Deployment Strategies: Compare on-premise and cloud-based deployments with a focus on autonomy and operational reliability.
Security & Compliance in Agentic Systems: Best practices for safeguarding autonomous workflows, including data integrity and ethical considerations.
Advanced Integration Techniques: Strategies for seamless integration of agentic AI into existing infrastructures, with real-world case studies.
Day 2
Simulation Lab: Step-by-step guided exercise on deploying an agentic AI system in a controlled, on-premise environment.
Deployment Strategy Workshop: Collaborative session where teams develop a comprehensive deployment plan that addresses security, scalability, and autonomous operational needs.
Hands-On Troubleshooting: Interactive exercises focused on diagnosing and resolving deployment challenges unique to agentic AI.
Group Presentations & Expert Feedback: Teams present their deployment strategies, discuss obstacles, and receive insights from experienced practitioners.
- Wrap-Up & Q&A: Final review of key concepts and discussion of future trends in agentic AI deployment.
Next Run Date
TBC
Self-Sponsored Individuals:
S$1,800 for 2-day workshop
Corporate Rates
Less than 8 pax – S$11,000 for 2-day workshop
8 to 15 pax – S$12,000 for 2-day workshop
Note: Our course fees are exempt from GST.
- Cancellation by Client
1.1. Notification:
All cancellations must be submitted in writing via email to admissions@metaskills.sg.
1.2. Refunds:
– Up to 30 days before the class start date: Full refund minus a processing fee of SGD 900 per class.
– 30 days or less before the class start date: No refund.
1.3. Substitutions:
The client may substitute participants up to 3 days before the class start date without any additional fees.
- Cancellation by Metaskills Institute
2.1. Metaskills Institute reserves the right to cancel the class. In such cases, clients will be notified at least 10 days before the class start date.
2.2. Refunds: In the event of cancellation by Metaskills Institute, clients will receive a full refund of the class fees.
- Force Majeure
In the event of circumstances beyond our control (e.g., natural disasters, pandemics, government restrictions), Metaskills Institute reserves the right to reschedule or cancel the class. Clients will be offered the option to attend on the new date or receive a full refund.
- Rescheduling
4.1. Client-Initiated Rescheduling: Requests to transfer reschedule the class date must be made at least 14 days before the original class start date. Transfers are subject to availability and a rescheduling fee of SGD 600 per class may be levied.
4.2. Metaskills Institute-Initiated Rescheduling: If Metaskills Institute reschedules the class, clients will be offered the option to transfer to the new date or receive a full refund.
- Attendance Requirements
5.1. Participation: Participants are expected to attend up to 75% of scheduled sessions of the training class to receive any certificates of completion associated with the course.
5.2. Punctuality: Participants should arrive on time for each session. Late arrivals may be allowed at the discretion of the instructor but may result in missing critical content.
5.3. Absenteeism:
– Notification of Absence: If a participant is unable to attend a session, the client must inform Metaskills Institute as soon as possible. Do note that participants are expected to attend up to 75% of scheduled sessions of the training class to receive any certificates of completion.


