Reliable AI starts with better prompts and better context.
View Dates & ApplyTools Covered
Inside Your Toolbox
Specific tools and interface features may change as AI platforms evolve. The course focuses on transferable methods and uses current platform features for demonstration and practice.
ChatGPT
Claude
Outcome-Driven Prompt Design
Turn complex business tasks into clear prompt systems with defined goals, audiences, success criteria, constraints, source boundaries, and required deliverables.
Advanced Prompt Strategies
Apply and select zero-shot, few-shot, Persona Pattern, conditional prompting, Chain-of-Thought, decomposition, Outline Expansion, Template Pattern, and Alternate Approach according to the task and model capability, including a controlled comparison between a cloud reasoning model and a lightweight local model.
Context Architecture
Organise task context, project instructions, authoritative sources, memory, and current requests while identifying missing, stale, conflicting, or irrelevant information.
Reusable Instructions
Create reusable task and output specifications that define inputs, procedures, source rules, constraints, acceptance criteria, and verification steps.
Human-Led Evaluation
Use LLM Grading, prompt critique, source verification, and structured revision loops while keeping the human or domain expert responsible for final acceptance.
Guardrails and Cross-Platform Adaptation
Apply Root Prompts, Context Injection, Semantic Filters, model configuration choices, and platform adaptation to build more controlled and portable AI workflows.
Course Outcomes
Learning Outcomes
By the end of the course, you will be able to:
- Design outcome-first prompt systems for complex business tasks and select zero-shot, few-shot, Persona Pattern, and conditional approaches according to the objective and audience.
- Apply advanced prompting strategies, including Chain-of-Thought, task decomposition, Outline Expansion, Template Pattern, and Alternate Approach, within human-directed multi-step work and select techniques according to task and model capability.
- Engineer context by organising project instructions, authoritative source material, reusable instructions, memory or persistent context, and task-specific information.
- Evaluate and improve AI outputs using human-defined criteria, LLM Grading, prompt critique, verification, scenario testing, and structured revision cycles.
- Configure available AI controls and apply guardrails using Root Prompts, Context Injection, Semantic Filters, source boundaries, confidentiality rules, and approval conditions.
- Develop and adapt integrated prompt and context systems across ChatGPT and Claude while keeping meaningful human control over each stage.
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.
Target Audience
Who Should Attend
This course is designed for professionals who already use AI and want to move beyond ad-hoc prompting into a systematic approach for complex business work, reusable context, evaluation, and reliable human-directed workflows.
It is suitable for:
- Digital Marketers
- Business Analysts
- Project Managers
- Content Marketing Specialists
- Client-Facing Professionals
- Operations and Administrative Professionals
- Anyone Who Uses AI Tools Regularly for Professional Work
Certification Pathway
Get Certified
To attain the Certified AI Practitioner (Business and 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 Prompt Engineering course assessment and achieved at least 75% attendance.
Course Code: TGS-2026064539
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$499.00. Your nett fee depends on your citizenship, age, and whether you are sponsored by an SME employer. Additional offsets like SkillsFuture Credit 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; 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$149.70save S$349.30 |
| Singapore Citizen, PR, or LTVP+ Holder sponsored by an SME employerETSS (ENHANCED TRAINING SUPPORT FOR SMES) | Baseline 50% + ETSS 20% = 70% total | S$149.70save S$349.30 |
| Singapore Citizen, PR, or LTVP+ Holder aged 21 and above, self-sponsored or employer-sponsoredBASELINE FUNDING | Baseline 50% | S$249.50save S$249.50 |
| Foreigner / not eligible for SSG funding | Subsidies not applicable | S$499.00full 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 stack on top of your SSG subsidy to further lower your out-of-pocket cost. 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$149.70 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: 1 Day (8 Hours)
| Course Dates | Trainer |
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| 20 Oct 2026 Tue · 9:00am - 6:00pm · In-Person
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| 17 Dec 2026 Thu · 9:00am - 6:00pm · In-Person
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| 25 Jan 2027 Mon · 9:00am - 6:00pm · In-Person
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| 25 Mar 2027 Thu · 9:00am - 6:00pm · In-Person
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| 24 May 2027 Mon · 9:00am - 6:00pm · In-Person
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| 22 Jul 2027 Thu · 9:00am - 6:00pm · In-Person
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| 20 Sep 2027 Mon · 9:00am - 6:00pm · In-Person
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| 18 Nov 2027 Thu · 9:00am - 6:00pm · 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.
The course is suitable for learners with basic familiarity using an AI assistant, but it moves beyond beginner prompt tips. You do not need coding experience. The trainer builds from foundational prompt choices into advanced prompting, context engineering, evaluation, and integrated professional workflows.
You may use a suitable privacy-safe business challenge from your own work or a supplied fallback case and source pack. The same challenge is developed throughout the day so each activity contributes to one integrated prompt and context system.
You will learn and apply zero-shot, few-shot, Persona Pattern, conditional prompting, Chain-of-Thought, Outline Expansion, Template Pattern, Alternate Approach, Cognitive Verifier, LLM Grading, Root Prompts, Context Injection, and Semantic Filters. The course also explains where some older techniques need to be used differently with current reasoning-capable models.
For this course, context engineering means deliberately selecting, organising, prioritising, and reviewing the instructions, authoritative sources, project rules, and task-specific information an AI system receives. You will learn how to keep relevant context clear while identifying stale, conflicting, irrelevant, or sensitive material.
Everyday AI use often relies on one-off prompts and trial and error. This course teaches a repeatable method for defining outcomes, selecting prompting techniques, managing context, setting guardrails, evaluating outputs, verifying important claims, and improving the system over multiple human-controlled stages.
Yes. The course page should retain the existing funding and eligibility information. Your actual nett fee depends on your eligibility and any applicable credits or employer support.
The course develops and assesses Prompt Engineering competency while broadening the taught practice to include current context-engineering methods. It can be taken as a standalone course and also forms Module 2 of the Certified AI Practitioner (Business and Work Applications) 2.0 pathway.
Candidates who demonstrate competency in the course assessment and meet the attendance requirement receive an Equinet Academy Certification of Completion for Prompt Engineering.
No. The course is designed for non-technical business users. API parameters are explained conceptually where required, but learners are not required to write code or call an API.
ChatGPT is the primary classroom platform. Claude is used to demonstrate and practise cross-platform adaptation. Ollama is used with one prescribed lightweight local model for a controlled cloud-versus-local comparison. The course does not teach software development or local-model deployment; the local model is simply used to show why prompting treatment can vary with model capability.
Bring your own personal laptop with administrator rights so you can install and run the required local AI software. Company-managed laptops are not recommended unless you have confirmed installation permission with your organisation. You will receive a pre-course setup and compatibility check before class.
The local-model exercise lets you compare the same task across models with different capabilities. This helps you understand why techniques such as Chain-of-Thought, examples, and decomposition should be selected based on the model and task rather than treated as universal prompt formulas. It also demonstrates that a lightweight model can run locally after the required files have been downloaded.
This course focuses specifically on how to define tasks, design prompts, engineer context, create reusable instructions, evaluate outputs, apply guardrails, and manage human-directed multi-turn work. A general Generative AI applications course covers a broader range of tools, application categories, and productivity use cases.
No. This course covers human-controlled prompt and context workflows. Autonomous planning, tool or API execution, unattended work, orchestration, deployment, runtime monitoring, and multi-agent systems belong in the Agentic AI course.
Yes. You can take it independently to strengthen your prompt and context-engineering practice, or complete it as part of the Certified AI Practitioner (Business and Work Applications) 2.0 pathway.
