Automate work. Amplify impact.
Apply NowTools Covered
Inside Your Toolbox
Specific tools depth of coverage may vary based on industry trends and learner needs.
ChatGPT
Claude
Agent Building
Specify, build, and test AI agents that perform real tasks.
Workflow Automation
Automate multi-step business processes.
Tool Integration
Connect agents to apps, files, APIs, and systems.
Human-in-the-Loop Design
Add approval checkpoints for better control.
Error Handling
Manage failures with checks, logs, retries, and recovery steps.
Agent Deployment
Launch, monitor, and improve agents in real business settings.
Course Outcomes
Learning Outcomes
By the end of the course, you will be able to:
- Explain how agentic AI systems plan, reason, and act, and assess where they add genuine business value.
- Configure an AI agent using structured prompting and effective instructions, then build and test a working single-tool agent.
- Design and build multi-step agentic workflows that chain tools, decisions, and human-in-the-loop checkpoints.
- Deploy, monitor, and maintain agents in live business environments, applying guardrails and professional standards.
Course Outline
What You’ll Learn
Want a portfolio & career placement?
Pair this course with an Equinet Career Programme
This course builds your capability and certifies you. It does not include a project-based capstone, client placement, or career coaching. Our Career Programmes are built for that: three months on a real project brief, your own product idea or a host organisation, with dedicated career support and mentorship throughout.
Many graduates take both: the course for the certification and capability, a Career Programme for the portfolio case study and placement. Speak to a course consultant about the combined pathway.
Trainers
Meet Your Educators
Target Audience
Who Should Attend
This course is for business professionals who want to stop doing repetitive tasks manually and start deploying AI that works on their behalf.
It is suitable for:
- Operations and Process Managers
- Marketing and Content Professionals
- Sales and Business Development Professionals
- Product Managers and Digital Transformation Leaders
- Executives and Founders
Certification Pathway
Get Certified
To attain the Certified AI Practitioner (Business & Work Applications) 2.0 certification, learners are required to complete all four modules:
A Certification of Completion by Equinet Academy will be awarded to candidates who have demonstrated competency in the Agentic AI course assessment and achieved at least 75% attendance.
Course Code: TGS-2026064538
Course Support Period: 19 Jun 2026 – 18 Jun 2028
Course Fee and Funding
Fund Your Brain Gain
This is a SkillsFuture-funded course. The full course fee is S$999.00. Your nett fee depends on your citizenship, age, and whether you are sponsored by an SME employer. Additional offsets like SkillsFuture Credit, PSEA, and SFEC can stack on top of your nett fee.
1. SSG SUBSIDY TIERS
Pick the row that describes you. Subsidies are applied at registration;Â no separate application is needed.
| Who you are | Subsidy | Nett fee |
|---|---|---|
| Singapore Citizen aged 40 and above, self-sponsored or employer-sponsored (Non-SME)MCES (MID-CAREER ENHANCED SUBSIDY) | Baseline 50% + MCES 20% = 70% total | S$299.70save S$699.30 |
| Singapore Citizen, PR, or LTVP+ Holder sponsored by an SME employerETSS (ENHANCED TRAINING SUPPORT FOR SMES) | Baseline 50% + ETSS 20% = 70% total | S$299.70save S$699.30 |
| Singapore Citizen, PR, or LTVP+ Holder aged 21 and above, self-sponsored or employer-sponsoredBASELINE FUNDING | Baseline 50% | S$499.50save S$499.50 |
| Foreigner / not eligible for SSG funding | Subsidies not applicable | S$999.00full fee |
Eligibility for ETSS depends on your employer’s SME status (ACRA-registered with annual sales of S$100M or less, or 200 employees or fewer). MCES applies to Singapore Citizens aged 40 and above. You receive whichever subsidy is most favourable, not both.
2. ADDITIONAL OFFSETS (STACK ON TOP)
These are applied to your nett fee after subsidies. You can combine more than one if you qualify.
SkillsFuture Credit (SFC)
SINGAPORE CITIZENS AGED 25 AND ABOVE
Use your SkillsFuture Credit balance to offset your nett course fee. Singaporeans receive a base credit of S$500.
PSEA
SINGAPORE CITIZENS AGED 30 AND BELOW
Use your Post-Secondary Education Account to pay for SkillsFuture-related course fees. Apply via your bank or MOE.
SFEC
ELIGIBLE SME EMPLOYERS
Employers can use SkillsFuture Enterprise Credit (S$10,000) to offset up to 90% of out-of-pocket course fees on top of existing schemes. Check eligibility at enterprisesg.gov.sg.
3. WORKED EXAMPLE
Example assumes you have at least S$299.70 SkillsFuture Credit opening credit balance. Actual nett fee depends on your specific eligibility.
After the Course
Post-training Support
Your learning does not stop when the course ends. All graduates get ongoing access to three support channels included in the course fee.
Alumni Community
Join the Equinet Insider Network. Ask questions, share wins, and connect with fellow graduates and industry practitioners.
Live Post-Training Mentoring Sessions
Attend live group mentoring sessions with industry subject matter experts. Bring real problems from your work and get practitioner feedback.
Direct Trainer Access
Continue the conversation with your trainer after the course ends. Bring questions from real work and get practitioner feedback.
Post-training mentoring clinic sessions are included in your course fee.
1:1 paid mentoring sessions are also available for graduates who want deeper, project-specific guidance on their own work.
For Organisations
Training a Team?
Course Schedule
Mark Your Calendar!
Duration: 2 Days (16 Hours)
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22, 23 Sep 2026 - 9:00am - 6:00pm Tue, Wed · In-Person
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27, 28 Oct 2026 - 9:00am - 6:00pm Tue, Wed · In-Person
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21, 22 Dec 2026 - 9:00am - 6:00pm Mon, Tue · In-Person
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11, 12 Feb 2027 - 9:00am - 6:00pm Thu, Fri · In-Person
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15, 16 Apr 2027 - 9:00am - 6:00pm Thu, Fri · In-Person
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14, 15 Jun 2027 - 9:00am - 6:00pm Mon, Tue · In-Person
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12, 13 Aug 2027 - 9:00am - 6:00pm Thu, Fri · In-Person
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11, 12 Oct 2027 - 9:00am - 6:00pm Mon, Tue · In-Person
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09, 10 Dec 2027 - 9:00am - 6:00pm Thu, Fri · In-Person
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Frequently Asked Questions (FAQs)
The Need-to-Know Stuff, Fast
Everything you need to know about the course. Can’t find the answer you’re looking for? Please contact our friendly team.
No. You will build using plain-language instructions, no-code workflow builders, and AI coding assistants that help accelerate the build process. Your role is to define requirements, review solutions, test behaviour, and verify results. No programming background is required.
Agent-supervised development is an approach where you use AI assistants to accelerate building while remaining responsible for requirements, architecture decisions, testing and validation.
Every learner starts with a common project: a Business Request Review Agent that checks incoming requests for completeness, classifies them, retrieves relevant reference criteria, and recommends whether to approve, reject, or request more information, with a human approval checkpoint and an audit record. On Day 2 you extend it into a multi-step workflow with decisions, error handling, and guardrails, and personalise one element to your own business context.
You will deploy and test your agentic workflow in a controlled training environment, supported by testing and monitoring methods and using safe synthetic or public data. It is designed so you can continue improving it after the course.
That is fine. The course starts from the beginning and builds progressively. By the end of Day 1, you will have a working agent running. The pace is designed for first-time builders.
You will need a laptop and accounts on at least one or two of the covered platforms, most of which offer free tiers. A full list of required tools and setup instructions will be sent ahead of the course.
We strongly recommend bringing a personal laptop rather than a company-issued device. Corporate laptops often restrict software installation, account sign-ups, and admin access, which can prevent you from completing the hands-on labs. The course uses standalone training applications with safe synthetic or public data, so no access to your company’s systems or data is needed.
Especially relevant. Understanding what agents can and cannot do before an organisational rollout lets you make informed decisions about where to start, what to avoid and how to set realistic expectations.
Prompt engineering covers how to get better outputs from a single AI interaction. This course is about deploying AI that works autonomously across multiple steps and tools, without a human in the loop for every action.
Yes. The final session is a live build and presentation. Every participant leaves with a working agentic workflow that is built, tested in a controlled environment, and personalised to their own business context, not a theoretical exercise.
