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Field note 013Practical guides

Which AI course is right for me? GAI101, GAI201 and AI101 compared

Two questions lead to a starting course, with what each one covers, what you build and how its fees and funding work.

New to generative AI at work? Start with GAI101. Already building assistants or automations? Take GAI201. AI101 is a separate Python and data-analysis track for finance professionals.

· Facts checked 11 November 2026 · Illustration generated with AI

An etched line drawing of a single river splitting into three channels across contour lines, standing for the three course paths. Illustration generated with AI.
Which AI course?

New to generative AI at work? Start with GAI101 (Applied Generative AI Fundamentals). Already building assistants or automations? Take GAI201 (Applied Agentic AI Systems). AI101 (Data Analytics and AI with Python) is a separate track for finance professionals who want to analyse data in code. All three are in-person courses with a S$1,750 full fee.

01Quick answer

  • New to generative AI, no coding wanted: GAI101. No AI or coding experience needed. 18.5 hours.
  • Already building with AI tools: GAI201. It asks for GAI101, GAI101F or equivalent working generative-AI fluency. No coding. 18.5 hours.
  • Want to analyse data in Python, especially in finance: AI101. Python is taught from the fundamentals; tertiary education is required.
  • In financial services, no coding wanted: GAI101F, the foundation course built around financial-services work.

02Find your starting point in two questions

Two questions that lead to a starting course A decision flow. Start. Question 1: you already build assistants or automations with AI. Yes leads to GAI201, Applied Agentic AI Systems (intermediate). No leads to question 2: you want to analyse data by writing Python. Yes leads to AI101, Data Analytics and AI with Python (a separate track). No leads to GAI101, Applied Generative AI Fundamentals (the foundation). In financial services, GAI101F, Applied Generative AI for Financial Services, is a second way in. Find your starting point Two questions, three starting points Start Question 01 You already build assistants or automations with AI Yes GAI201 Intermediate Applied Agentic AI Systems No Question 02 You want to analyse data by writing Python Yes AI101 Separate track Data Analytics and AI with Python No GAI101 Foundation Applied Generative AI Fundamentals GAI101F Foundation Applied Generative AI for Financial Services In financial services
Two questions that lead to a starting course A decision flow. Start. Question 1: you already build assistants or automations with AI. Yes leads to GAI201, Applied Agentic AI Systems (intermediate). No leads to question 2: you want to analyse data by writing Python. Yes leads to AI101, Data Analytics and AI with Python (a separate track). No leads to GAI101, Applied Generative AI Fundamentals (the foundation). In financial services, GAI101F, Applied Generative AI for Financial Services, is a second way in. Find your starting point Two questions, three starting points Start Question 01 You already build assistants or automations with AI Yes GAI201 Intermediate Applied Agentic AI Systems No Question 02 You want to analyse data by writing Python Yes AI101 Separate track Data Analytics and AI with Python No GAI101 Foundation Applied Generative AI Fundamentals In financial services GAI101F Foundation Applied Generative AI for Financial Services
Fig. 01Two questions that lead to a starting course.
  1. Do you already build assistants or automations with AI?

    Yes: look at GAI201. No: go to question 2.

  2. Do you want to analyse data by writing Python?

    Yes: look at AI101. No: start with GAI101.

Not sure about question 1? Try the self-check.

03The three courses side by side

GAI101GAI201AI101
LevelBeginnerIntermediateBeginner (technical foundation)
Who it is forWorking professionals in any industryPeople with working generative-AI fluencyFinance professionals
You needSecondary education; no AI or coding experienceGAI101, GAI101F or equivalent fluencyTertiary education
CodingNoneNone requiredPython, taught from the fundamentals
Time and format18.5 hours; 3 full days or 6 half days; in person18.5 hours; 3 days; in person3 days; in person
You buildA custom assistant, a no-code automation, a document question-and-answer setup (RAG) and an end-to-end workflowA role system map, three running multi-agent patterns, an agentic workflow graph, and evaluation and operations evidenceA Python capstone that collects, cleans, analyses and charts a financial-services dataset
Funding routeSSG, Tier 2 (TGS-2026065683)SSG, Tier 2 (TGS-2026067095)IBF-STS (TGS-2024042276)

Source: the Metacamp course pages, checked 11 November 2026.

04How the three courses fit together

How the four courses connect A track map. Two lines start at GAI101 and GAI101F, both no-code foundation courses, and join into one line that reaches GAI201. Either one meets the GAI201 prerequisite. A second, separate line carries AI101, Python for data analysis. It does not connect to GAI201: AI101 is not a prerequisite for GAI201, and GAI201 needs no Python. How the courses fit together Two ways in to GAI201, and one separate track GAI101 Foundation. No coding. GAI201 Multi-agent systems GAI101F Foundation for financial services. No coding. Either one meets the prerequisite AI101 Python for data analysis A separate track Not a prerequisite for GAI201 GAI201 needs no Python
How the four courses connect A track map. Two lines start at GAI101 and GAI101F, both no-code foundation courses, and join into one line that reaches GAI201. Either one meets the GAI201 prerequisite. A second, separate line carries AI101, Python for data analysis. It does not connect to GAI201: AI101 is not a prerequisite for GAI201, and GAI201 needs no Python. How the courses fit together Two ways in to GAI201, and one separate track GAI101 Foundation. No coding. GAI201 Multi-agent systems GAI101F Foundation for financial services. No coding. Either one meets the prerequisite AI101 Python for data analysis A separate track Not a prerequisite for GAI201
Fig. 02How the four courses connect.
  • GAI101 is the foundation. From your first structured prompt to a working workflow.
  • GAI201 builds on it. Several AI agents working together, and how to test and run them safely.
  • AI101 is a separate track. It is not a prerequisite for GAI201, and GAI201 needs no Python.
  • GAI101F is a second way in. It also meets the GAI201 prerequisite.

05GAI101: Applied Generative AI Fundamentals

GAI101 is for working professionals who want to use generative AI reliably at work without writing code.

What you build in GAI101, step by step A staircase of five steps from a first prompt to a working workflow, each tied to a GAI101 topic. Step 1, a structured prompt (topic 1). Step 2, a custom assistant (topic 3). Step 3, a no-code automation (topic 4). Step 4, answers from your own documents, known as RAG (topic 5). Step 5, an end-to-end workflow (topic 6). Topic 2 covers content tools and working with data. GAI101 in 18.5 hours From a first prompt to a working workflow Topic 01 Structured prompt Topic 03 Custom assistant Topic 04 No-code automation Topic 05 Answers from your own documents Topic 06 End-to-end workflow First prompt Working workflow Topic 02 covers content tools and working with data.
What you build in GAI101, step by step A staircase of five steps from a first prompt to a working workflow, each tied to a GAI101 topic. Step 1, a structured prompt (topic 1). Step 2, a custom assistant (topic 3). Step 3, a no-code automation (topic 4). Step 4, answers from your own documents, known as RAG (topic 5). Step 5, an end-to-end workflow (topic 6). Topic 2 covers content tools and working with data. GAI101 in 18.5 hours From a first prompt to a working workflow 01 02 03 04 05 First prompt Working workflow 01 Structured prompt Topic 01 02 Custom assistant Topic 03 03 No-code automation Topic 04 04 Answers from your own documents Topic 05 05 End-to-end workflow Topic 06 Topic 02 covers content tools and working with data.
Fig. 03What you build in GAI101, step by step.

The six topics:

  1. Generative AI foundations and prompt engineering.

    How large language models work and where they fail, including hallucination and bias. Prompts with a task, role, context, examples and output format. ChatGPT, Claude and Gemini compared on workplace tasks.

  2. Creating content and working with data.

    Image, voice and slide tools. Summarising and charting spreadsheets, with the conclusions checked against the source data.

  3. Building custom AI assistants.

    Build reusable custom AI assistants with instructions, guardrails and knowledge files.

  4. No-code automation and AI agents.

    An automation that connects AI to email, documents and spreadsheets, extended into a guided multi-step agent.

  5. Working with your own data (RAG) and agent harnesses.

    Answers grounded in your own documents, checks for unsupported answers, PDPA-aware handling of sensitive data, and how an agent harness controls tools, permissions, memory and human review.

  6. End-to-end workflows and opportunity spotting.

    One scoped workflow from your own role, then the knowledge and practical assessments.

Choose GAI101 if you use AI tools now and then but have not built an assistant or automation.

Funding: The course page lists GAI101 (TGS-2026065683) on the SSG Tier 2 pathway. See fees and funding.

06GAI201: Applied Agentic AI Systems

GAI201 is for people who want to design, evaluate and operate multi-agent systems for their own role.

The three multi-agent patterns built in GAI201 Three small diagrams. Pipeline: stages in order, with a quality gate between them. Parallel fan-out: one task goes to independent workers, then an aggregation step combines their results. Orchestrator and workers: a lead agent decomposes the task and delegates it to three workers. You build all three on real work inputs on Day 1. GAI201, Day 1 Three ways to arrange several agents Pipeline Stages in order, with a quality gate between them. Parallel fan-out Independent workers, then an aggregation step. Orchestrator and workers A lead agent decomposes the task and delegates it. You build all three on real work inputs.
The three multi-agent patterns built in GAI201 Three small diagrams. Pipeline: stages in order, with a quality gate between them. Parallel fan-out: one task goes to independent workers, then an aggregation step combines their results. Orchestrator and workers: a lead agent decomposes the task and delegates it to three workers. You build all three on real work inputs on Day 1. GAI201, Day 1 Three ways to arrange several agents Pipeline Stages in order, with a quality gate between them. Parallel fan-out Independent workers, then an aggregation step. Orchestrator and workers A lead agent decomposes the task and delegates it. You build all three on real work inputs.
Fig. 04The three multi-agent patterns built in GAI201.

The three days:

  • Day 1: your role as a system, and production multi-agent patterns. Map your recurring work into components, each with a contract. Build a pipeline, a parallel fan-out and an orchestrator–workers system on real work inputs, and test whether a multi-agent design beats a single agent.
  • Day 2: graph engineering, and failure literacy. Draw a workflow as nodes and edges, wire it in n8n with routing, an approval gate, a bounded loop and error paths, and expose it through an MCP bridge. Then diagnose and repair agent teams that loop, stall or give confidently wrong output.
  • Day 3: the evaluation harness, and operating the system. Build a 20-case test set with a scoring rubric, compare human scores with an AI judge, and run a regression before deciding whether to ship. Finish with a token budget, retry limits, a kill switch, least-privilege permissions, a human approval gate and a one-page runbook.

Choose GAI201 if you already build assistants or automations and want proof that several agents work together.

Funding: The course page lists GAI201 (TGS-2026067095) on the SSG Tier 2 pathway, with the same indicative fee schedule as GAI101.

Are you ready for GAI201?

A six-statement self-check for GAI201. The GAI101 topic tags are Metacamp's own reading, not an entry standard Six statements with a tick box each, and the GAI101 topic Metacamp reads each one as coming from. The topic tags are illustrative. 1. I write prompts with a clear task, context, examples and output format (topic 1). 2. I have built a custom assistant with its own instructions and knowledge files (topic 3). 3. I have built a no-code automation that connects AI to email, documents or spreadsheets (topic 4). 4. I have grounded AI answers in my own documents and checked for unsupported answers (topic 5). 5. I check AI output against the source before I rely on it (topics 1 and 2). 6. I can name a task in my role that AI could take on, and say where a person should still review it (topic 6). A scale below runs from mostly no, start with GAI101, to mostly yes, GAI201 may suit you. Not sure: write to team@metacamp.sg. It is a guide, not an entry test. Self-check, Metacamp's reading Six statements to test before you choose GAI201 Topic tags are illustrative A guide, not an entry test I write prompts with a clear task, context, examples and output format. Topic 01 I have built a custom assistant with its own instructions and knowledge files. Topic 03 I have built a no-code automation that connects AI to email, documents or spreadsheets. Topic 04 I have grounded AI answers in my own documents and checked for unsupported answers. Topic 05 I check AI output against the source before I rely on it. Topics 01, 02 I can name a task in my role that AI could take on, and say where a person should still review it. Topic 06 How many are true 0 1 2 3 4 5 6 Mostly no Start with GAI101 Mostly yes GAI201 may suit you Not sure team@metacamp.sg
A six-statement self-check for GAI201. The GAI101 topic tags are Metacamp's own reading, not an entry standard Six statements with a tick box each, and the GAI101 topic Metacamp reads each one as coming from. The topic tags are illustrative. 1. I write prompts with a clear task, context, examples and output format (topic 1). 2. I have built a custom assistant with its own instructions and knowledge files (topic 3). 3. I have built a no-code automation that connects AI to email, documents or spreadsheets (topic 4). 4. I have grounded AI answers in my own documents and checked for unsupported answers (topic 5). 5. I check AI output against the source before I rely on it (topics 1 and 2). 6. I can name a task in my role that AI could take on, and say where a person should still review it (topic 6). A scale below runs from mostly no, start with GAI101, to mostly yes, GAI201 may suit you. Not sure: write to team@metacamp.sg. It is a guide, not an entry test. Self-check, Metacamp's reading Six statements to test before you choose GAI201 Topic tags are illustrative A guide, not an entry test I write prompts with a clear task, context, examples and output format. Topic 01 I have built a custom assistant with its own instructions and knowledge files. Topic 03 I have built a no-code automation that connects AI to email, documents or spreadsheets. Topic 04 I have grounded AI answers in my own documents and checked for unsupported answers. Topic 05 I check AI output against the source before I rely on it. Topics 01, 02 I can name a task in my role that AI could take on, and say where a person should still review it. Topic 06 How many are true 0 1 2 3 4 5 6 Mostly no Start with GAI101 Mostly yes GAI201 may suit you Not sure team@metacamp.sg
Fig. 05A six-statement self-check for GAI201. The GAI101 topic tags are Metacamp's own reading, not an entry standard.

Six statements drawn from what GAI101 covers. A guide, not an entry test.

  1. I write prompts with a clear task, context, examples and output format.

  2. I have built a custom assistant with its own instructions and knowledge files.

  3. I have built a no-code automation that connects AI to email, documents or spreadsheets.

  4. I have grounded AI answers in my own documents and checked for unsupported answers.

  5. I check AI output against the source before I rely on it.

  6. I can name a task in my role that AI could take on, and say where a person should still review it.

Mostly true: GAI201 may suit you. Mostly not: start with GAI101. Unsure: write to team@metacamp.sg.

07AI101: Data Analytics and AI with Python

AI101 is for finance professionals preparing for data engineer, data analyst, credit and lending operations, or credit risk work.

The four stages of the AI101 capstone, as Metacamp reads the course outline. The tool named at each stage is illustrative An illustrative pipeline of four stages in which a dataset changes shape. Collect: scattered points of financial-services data. Clean: the points set into an even grid, with pandas. Analyse: one column of the grid picked out, with NumPy and pandas. Visualise: a bar chart with one bar highlighted, with Matplotlib and Seaborn. One Python capstone on a financial-services dataset. AI101 capstone, illustrative One dataset, four stages, all in Python 01 Collect Financial-services data 02 Clean pandas 03 Analyse NumPy and pandas 04 Visualise Matplotlib and Seaborn You collect, clean, analyse and chart one financial-services dataset.
The four stages of the AI101 capstone, as Metacamp reads the course outline. The tool named at each stage is illustrative An illustrative pipeline of four stages in which a dataset changes shape. Collect: scattered points of financial-services data. Clean: the points set into an even grid, with pandas. Analyse: one column of the grid picked out, with NumPy and pandas. Visualise: a bar chart with one bar highlighted, with Matplotlib and Seaborn. One Python capstone on a financial-services dataset. AI101 capstone, illustrative One dataset, four stages, all in Python 01 Collect Financial-services data 02 Clean pandas 03 Analyse NumPy and pandas 04 Visualise Matplotlib and Seaborn You collect, clean, analyse and chart one financial-services dataset.
Fig. 06The four stages of the AI101 capstone, as Metacamp reads the course outline. The tool named at each stage is illustrative.

The three days:

  • Day 1: what data analytics is, Jupyter Notebook, Python data types, operators, strings, lists and loops.
  • Day 2: conditions, dictionaries, functions and debugging, then numerical analysis with NumPy.
  • Day 3: data wrangling with pandas, then charts with Matplotlib and Seaborn, explained against a financial-services question.

Choose AI101 if you want to work with data directly and are ready to learn to code.

Funding: Metacamp lists AI101 (TGS-2024042276) as supported under IBF's Standards Training Scheme (IBF-STS), subject to eligibility and completion: at least 75% attendance and a pass in every assessment (IBF FAQ).

08What about GAI101F?

GAI101F (Applied Generative AI for Financial Services) is 18.5 hours; it can run over 2 or 3 days depending on scheduling, and the first public run is 2 days. It needs no AI, coding or finance qualification. You build a custom assistant on a personal knowledge brain, an AI agent with no-code routines across your calendar, email and notes, and a multi-model client workflow. Metacamp lists GAI101F (TGS-2026066964) as supported under IBF-STS, subject to eligibility and completion. Details: metacamp.sg/courses/gai101f.

09Dates and timetables

Check the dates and timetable for the run you choose on its course page.

10Fees and funding by course

How the S$1,750 full fee splits into subsidy, credit and what you pay Four bars, each the S$1,750 full fee drawn to scale. Indicative fees from the metacamp.sg course pages, checked 11 November 2026. Singapore Citizen aged 40 and over: 70% subsidy, you pay S$525, or from S$25 with up to S$500 Opening SkillsFuture Credit. Singapore Citizen under 40: 50% subsidy, you pay S$875, or from S$375 with the credit. Permanent Resident: 50% subsidy, you pay S$875. Others: no subsidy, you pay S$1,750. The four course pages show the same schedule. They list SSG funding for GAI101 and GAI201, and IBF-STS for GAI101F and AI101. Opening SkillsFuture Credit is for Singapore Citizens aged 25 and over. Course-run and learner eligibility apply. Confirm the fee at enrolment. Indicative fees, checked 11 Nov 2026 Full fee, subsidy, and what you pay Full fee S$1,750 Singapore Citizen aged 40 and over 70% subsidy You pay S$525 or from S$25 with credit Singapore Citizen under 40 50% subsidy You pay S$875 or from S$375 with credit Permanent Resident 50% subsidy You pay S$875 Others No subsidy You pay S$1,750 You pay Up to S$500 Opening SkillsFuture Credit Subsidy, from SSG or IBF-STS The four course pages show the same schedule. They list SSG funding for GAI101 and GAI201, and IBF-STS for GAI101F and AI101. Opening SkillsFuture Credit is for Singapore Citizens aged 25 and over. Course-run and learner eligibility apply. Confirm the fee at enrolment.
How the S$1,750 full fee splits into subsidy, credit and what you pay Four bars, each the S$1,750 full fee drawn to scale. Indicative fees from the metacamp.sg course pages, checked 11 November 2026. Singapore Citizen aged 40 and over: 70% subsidy, you pay S$525, or from S$25 with up to S$500 Opening SkillsFuture Credit. Singapore Citizen under 40: 50% subsidy, you pay S$875, or from S$375 with the credit. Permanent Resident: 50% subsidy, you pay S$875. Others: no subsidy, you pay S$1,750. The four course pages show the same schedule. They list SSG funding for GAI101 and GAI201, and IBF-STS for GAI101F and AI101. Opening SkillsFuture Credit is for Singapore Citizens aged 25 and over. Course-run and learner eligibility apply. Confirm the fee at enrolment. Indicative fees, checked 11 Nov 2026 Full fee, subsidy, and what you pay Full fee S$1,750 Singapore Citizen aged 40 and over 70% subsidy You pay S$525 or from S$25 with credit Singapore Citizen under 40 50% subsidy You pay S$875 or from S$375 with credit Permanent Resident 50% subsidy You pay S$875 Others No subsidy You pay S$1,750 You pay Up to S$500 Opening SkillsFuture Credit Subsidy, from SSG or IBF-STS The four course pages show the same schedule. They list SSG funding for GAI101 and GAI201, and IBF-STS for GAI101F and AI101. Opening SkillsFuture Credit is for Singapore Citizens aged 25 and over. Course-run and learner eligibility apply. Confirm the fee at enrolment.
Fig. 07How the S$1,750 full fee splits into subsidy, credit and what you pay.

Indicative fees checked 11 November 2026; course-run and learner eligibility apply; confirm at enrolment. The four metacamp.sg course pages show the same schedule.

LearnerSubsidyYou payWith up to S$500 Opening SkillsFuture Credit
Singapore Citizen aged 40 and over70%S$525from S$25
Singapore Citizen under 4050%S$875from S$375
Permanent Resident50%S$875Not available
OthersNoneS$1,750Not available
  • Full fee. Each course has a full fee of S$1,750. Metacamp is not GST-registered, so no GST is added.
  • One funding scheme per course. Metacamp lists GAI101 and GAI201 under SSG funding, and AI101 and GAI101F under IBF-STS. Check which course-fee funding scheme applies to your course; do not assume grants can be stacked.
  • SSG rates. Tier 2 funding is up to 50% of course fees, or up to 70% for Singapore Citizens aged 40 and over. Self-sponsored learners must be at least 21 (MySkillsFuture).
  • IBF-STS rates. 50% for eligible Citizens and PRs, or 70% for eligible Citizens aged 40 and over, capped at S$3,000 per participant per course. Learners must be physically based in Singapore and complete the course (IBF).
  • Opening SkillsFuture Credit. Singapore Citizens aged 25 and over have S$500 that does not expire and can be used on top of course subsidies (MySkillsFuture). PRs get the subsidy but not the credit.
  • Mid-Career Credit. The course pages currently say Mid-Career Credit cannot be used. For runs from 1 December 2026, check the specific course listing for the Mid-Career Credit label before relying on this (MySkillsFuture).
  • A note on names. SkillsFuture Singapore (SSG, now part of SWDA) merged with Workforce Singapore on 1 July 2026 to form the Skills and Workforce Development Agency, so some official pages now say "SWDA funding" (IRAS)).

Check any course's funding in three steps

Three steps to check the funding of any course Three numbered stops on a line. 1. Find the TGS code near the top of each course page on metacamp.sg: GAI101 is TGS-2026065683, GAI201 is TGS-2026067095, GAI101F is TGS-2026066964 and AI101 is TGS-2024042276. 2. Open the official listing: search the code on MySkillsFuture, or add it to courses.myskillsfuture.gov.sg/courses/. 3. Read the fee breakdown, which sets out four lines: full course fee, minus SkillsFuture subsidies, minus SkillsFuture Credit, equals estimated payable fee. For AI101 and GAI101F, check the IBF-STS subsidy on their Metacamp course pages as well. Check any course Three steps to check the funding of any course 01 Find the TGS code It is near the top of each course page on metacamp.sg. 02 Open the official listing Search the code on MySkillsFuture, or add it to this address. 03 Read the fee breakdown The listing sets out four lines. GAI101 TGS-2026065683 GAI201 TGS-2026067095 GAI101F TGS-2026066964 AI101 TGS-2024042276 courses.myskillsfuture.gov.sg /courses/TGS-2026065683 The GAI101 listing Full course fee - SkillsFuture subsidies - SkillsFuture Credit = Estimated payable fee IBF-STS courses For AI101 and GAI101F, check the IBF-STS subsidy on their Metacamp course pages as well.
Three steps to check the funding of any course Three numbered stops on a line. 1. Find the TGS code near the top of each course page on metacamp.sg: GAI101 is TGS-2026065683, GAI201 is TGS-2026067095, GAI101F is TGS-2026066964 and AI101 is TGS-2024042276. 2. Open the official listing: search the code on MySkillsFuture, or add it to courses.myskillsfuture.gov.sg/courses/. 3. Read the fee breakdown, which sets out four lines: full course fee, minus SkillsFuture subsidies, minus SkillsFuture Credit, equals estimated payable fee. For AI101 and GAI101F, check the IBF-STS subsidy on their Metacamp course pages as well. Check any course Three steps to check the funding of any course Find the TGS code It is near the top of each course page on metacamp.sg. GAI101 TGS-2026065683 GAI201 TGS-2026067095 GAI101F TGS-2026066964 AI101 TGS-2024042276 Open the official listing Search the code on MySkillsFuture, or add it to this address. courses.myskillsfuture.gov.sg /courses/TGS-2026065683 The GAI101 listing Read the fee breakdown The listing sets out four lines. Full course fee - SkillsFuture subsidies - SkillsFuture Credit = Estimated payable fee 01 02 03 IBF-STS courses For AI101 and GAI101F, check the IBF-STS subsidy on their Metacamp course pages as well.
Fig. 08Three steps to check the funding of any course.
  1. Find the TGS code

    near the top of the course page on metacamp.sg.

  2. Open the official listing.

    Search the code on MySkillsFuture, or add it to the end of courses.myskillsfuture.gov.sg/courses/, as in the GAI101 listing.

  3. Read the fee breakdown:

    full fee, SkillsFuture subsidies, SkillsFuture Credit and an estimated amount to pay.

For AI101 and GAI101F, check the IBF-STS subsidy on their Metacamp course pages as well.

11For teams and employers

The SkillsFuture Enterprise Credit, SFEC, changes on 1 December 2026 One span on a calendar axis from October 2026 to January 2027, with a line between 30 November and 1 December 2026. SkillsFuture Enterprise Credit, SFEC: the current credit expires on 30 November 2026, and the redesigned credit runs from 1 December 2026. The redesigned SFEC gives eligible companies a fresh credit of S$10,000 in an online wallet. Check programme and employer eligibility before booking. Sources: MOM written answer, 3 November 2026, and the TPGateway memo on the expiry. For employers The SFEC changes on 1 December 2026 Current credit Redesigned credit Expires 30 Nov 2026 From 1 Dec 2026 Oct Nov Dec Jan 2027 From 1 Dec 2026 Fresh credit for eligible companies S$10,000 Held in an online wallet Check programme and employer eligibility before booking. Sources. MOM written answer, 3 Nov 2026. TPGateway memo
The SkillsFuture Enterprise Credit, SFEC, changes on 1 December 2026 One span on a calendar axis from October 2026 to January 2027, with a line between 30 November and 1 December 2026. SkillsFuture Enterprise Credit, SFEC: the current credit expires on 30 November 2026, and the redesigned credit runs from 1 December 2026. The redesigned SFEC gives eligible companies a fresh credit of S$10,000 in an online wallet. Check programme and employer eligibility before booking. Sources: MOM written answer, 3 November 2026, and the TPGateway memo on the expiry. For employers The SFEC changes on 1 December 2026 Current credit Redesigned credit Expires 30 Nov 2026 From 1 Dec 2026 Oct Nov Dec Jan 2027 From 1 Dec 2026 Fresh credit for eligible companies S$10,000 Held in an online wallet Check programme and employer eligibility before booking. Sources. MOM written answer, 3 Nov 2026. TPGateway memo
Fig. 09The SkillsFuture Enterprise Credit, SFEC, changes on 1 December 2026.
  • Private team runs. A private GAI101 run for your team gets the same subsidies as a public run, provided it is the full 18.5-hour course as registered with SSG.
  • Enterprise Innovation Scheme (EIS). EIS gives a 400% tax deduction on the first S$400,000 of qualifying training expenditure in each Year of Assessment from YA2024 to YA2028 (IRAS)). EIS may apply to qualifying employer-paid training. Check your exact course code and supporting period on the official list and consult your tax adviser. Eligibility is not a blanket promise.

To plan a team run, see metacamp.sg/teams.

12FAQ

GAI101, if you are new to generative AI. Take GAI201 after GAI101, GAI101F or equivalent experience. Choose AI101 to analyse financial data with Python.