Generative AI Course Details

Generative AI, a branch of artificial intelligence, actively creates new content like images, videos, music, and text. It employs algorithms that learn from existing data to generate unique, similar, yet distinct data. This process involves various methods, including neural networks, recurrent neural networks, and generative adversarial networks.

ML allows computers to learn from data and experiences without being explicitly programmed, enabling them to identify patterns, make predictions, and enhance performance over time. Through training on large datasets, machines continuously refine their skills in classification, regression, clustering, dimensionality reduction, and anomaly detection as they encounter new data.

LLMs are a type of AI that can understand and generate human language. They are trained on large amounts of text data, which enables them to learn the patterns and rules of language. LLMs can perform various tasks, such as generating text, translating languages, writing different kinds of creative text formats, summarising text, answering questions, and following instructions. LLMs can potentially transform many industries, and we expect to see even more innovative and creative applications for this technology.

Prompt engineering is the art of generating effective prompts to guide generative AI models towards desired outputs. It involves providing clear context, instructions, and constraints to help the AI model understand the task and generate relevant and high-quality results. Key aspects include clarity, specificity, context, instructions, creativity, and iteration.
Learning prompt engineering offers a versatile skillset, continuous learning opportunities, and transferable skills. It demonstrates creativity, problem-solving, and adaptability – highly valued by employers—to master prompt engineering to become a sought-after asset in Singapore’s dynamic AI landscape.

Imagine you are at a restaurant and want to order a meal. The waiter acts as an API between you (the customer) and the kitchen (the service provider). The waiter takes your order, sends it to the kitchen, and then delivers the food back to you. The menu is like the API documentation, which tells you what options are available and how to structure your order.
API defines the rules and specifications for how two pieces of software can exchange information. APIs can access data, perform actions, or trigger events. They are essential for building modern software applications, allowing developers to integrate with third-party services and functionality easily.

Generative AI, a form of artificial intelligence, generates new content like images, videos, music, and text. It employs algorithms that learn from existing data to produce new, similar, yet non-identical data.

Traditional AI, on the other hand, is better at analysing data and making predictions. It can be used to identify patterns, classify data, and make decisions. However, traditional AI cannot create new data on its own.

Generative AI has numerous potential applications in banking and finance, including:

1. Fraud Detection and Prevention: By training on large datasets of legitimate and fraudulent transactions, generative AI models can identify fraudulent patterns, aiding banks in preempting fraud.
2. Customer Experience Personalisation: Banks can use generative AI to craft personalised customer experiences, generating tailored product recommendations and content like financial reports and educational materials, thereby enhancing customer satisfaction and loyalty.
3. Risk Assessment and Credit Scoring: Generative AI creates synthetic data representing various borrower types to train machine learning models, improving banks’ ability to assess borrowers’ creditworthiness for more informed lending decisions.
4. Loan Underwriting: Automating the loan underwriting process, generative AI generates synthetic data mirroring diverse borrower loan applications, which machine learning models use to make faster and more accurate loan decisions.
5. Market Analysis and Trading: Generative AI models, trained on extensive market data, can analyse market trends and generate trading signals, enabling traders to make well-informed decisions.

As generative AI technology advances, we can anticipate a broader array of future innovative applications in the banking and finance industry.

To work effectively with Generative AI, the key skills needed include:

• Learning New Techniques: Staying updated with the latest advancements in Generative AI and adapting to new methods and approaches.
• Automation Skills: Understanding how to automate processes and tasks using AI, enhancing efficiency and productivity.
• API Integration: Gaining proficiency in integrating and utilizing Application Programming Interfaces (APIs) for various AI applications.
• Ethics in AI: Developing a strong understanding of ethical considerations and implications in developing and using AI technologies.

Security Knowledge: Acquiring knowledge about securing AI systems and data, ensuring the protection of sensitive information.

To get started with Generative AI, beginning with a beginner’s course from Vertical Institute is an excellent first step. This course will provide fundamental skills and hands-on experience, setting the stage for further exploration and skill development in Generative AI.

Yes, you can receive up to 70% funding support from The Institute of Banking & Finance (IBF) for our IBF-accredited programmes. The balance course fees (after subsidy) can be offset using your SkillsFuture Credits or NTUC UTAP funding.

The IBF Standards Training Scheme (“IBF-STS”) provides funding for training and assessment programmes accredited under the Skills Framework for Financial Services.

For our training programmes that are IBF-accredited, eligible Singaporeans & PRs may receive funding support under the IBF Standards Training Scheme (IBF-STS), subjected to all eligibility criteria being met.

For more information on the funding support, please visit: https://www.ibf.org.sg/home/for-individuals/skills-and-jobs-development/training-support/IBF-STS

Yes. For self-sponsored Singaporeans aged 25 years old and above, you can use your SkillsFuture Credit to offset the remaining course fees after IBF funding.

To check your SkillsFuture credit balance, please follow these steps:

1. Go to https://myskillsfuture.gov.sg
2. Click on ‘Submit SkillsFuture Credit Claims’
3. Login with your SingPass
4. Click on the arrow (>) at the top right hand corner. You will be able to see a drop-down list of your Available SkillsFuture Credits.
5. Please note that our bootcamps are not eligible for “Additional SkillsFuture Credit (Mid-Career Support)’. You will only be able to use available credits from ‘SkillsFuture Credit’ and ‘One-off SkillsFuture Credit Top-Up’.

After you have registered for a course, a VI representative will reach out to guide you with the SkillsFuture Credits claim application.

Yes, all our courses are eligible for Union Training Assistance Programme (UTAP) Funding. NTUC Union members can use UTAP to offset 50% of unfunded course fees (capped at $500 per year).

This claim must be done after completion of the course. Please refer to the UTAP FAQ for more information.

Yes, you can utilise both at the same time. UTAP can only be applied after SFC has been applied.

For illustration purposes only:

The IBF funding support works on a nett fee model. This means that the subsidy is applied upfront, and you will only need to pay the balance course fees after the subsidy. For example, if you are eligible for 70% subsidy, you only need to pay the remaining 30% upfront.

To be eligible, you’ll have to meet the following prerequisites.

For Self-Sponsored:

All Singaporeans or Singapore Permanent Residents (PRs) that are physically based in Singapore and successfully complete the course will be eligible.

• Be a Singaporean Citizen or PR based in Singapore
• Minimum of 75% attendance (this means that you must attend at least 6 out of 7 lessons)
• Pass the final assessment

Any balance course fees can be offset using your SkillsFuture Credits & NTUC UTAP funding.

For Company-Sponsored:

• Be from Financial Institutions that are regulated by the Monetary Authority of Singapore (MAS) (either licensed / exempted from licensing) or Fintech companies that are registered with the Singapore Fintech Association.
• Be a Singaporean Citizen or PR physically based in Singapore
• Minimum of 75% attendance (this means that you must attend at least 6 out of 7 lessons)
• Pass the final assessment

We offer interest-free instalment plans to ensure tech education is accessible to all Singaporeans and PRs. You may reach out to our admissions team for more information via:

Email: [email protected]
Phone: 6950 7023

This program is suitable for beginners with no pre-requisites.

To get started with Generative AI, beginning with a beginner’s course from Vertical Institute is an excellent first step. This course will provide fundamental skills and hands-on experience, setting the stage for further exploration and skill development in Generative AI.

If you miss a lesson, you are allowed to attend a makeup class. This would be the corresponding class of another intake that same week, subject to availability. If you cannot make it for the makeup class, then you can simply watch the recorded lesson video.

Your attendance is only counted if you attend a makeup class.