GA Nanodegree

Generative AI Course in Singapore

Generative AI Course for Automation and Productivity

Gain hands-on skills to harness AI tools and understand how they really work.

Save with SkillsFuture and UTAP subsidies Learn how you can design, deploy and evaluate AI-driven workflows to boost productivity ZERO programming background needed

Upskill with Singapore's Top-Rated AI Academy

5-Star Google Reviews 🎉

Companies our instructors come from 👩🏻‍🏫

Why Learn Generative AI

If you’ve ever wondered:

  • Can AI do everything for me?
  • Am I using AI to its full potential?
  • What opportunities can AI unlock?

Our GA100 Generative AI for Automation and Productivity course is designed for you. This comprehensive programme will equip you with both the practical skills to use AI tools effectively and provide you with a deep technical understanding of how they work, so you’re not just blindly clicking buttons.

Whether you’re a professional, entrepreneur, or AI enthusiast, this course will help you stay ahead of the curve, equipping you with the skills to use AI creatively, efficiently and with confidence.

Roles That Require Generative AI Skills

Generative AI is quickly becoming crucial in every job. It’s giving professionals the power to automate tasks, enhance creativity and make smarter, data-driven decisions. Want to see where these skills are making a huge difference? Here’s a list of common roles across different industries where Generative AI skills are becoming increasingly essential:

    1. Technology & Data

    Prompt Engineer
    Machine Learning / AI Engineer
    Data Scientist
    MLOps Engineer
    AI Research Scientist

    2. Product & Strategy

    AI Product Manager
    AI Stratgegy Consultant
    Business Analyst (AI-enabled)

    3. Marketing & Creative

    AI Content Strategist
    Digital Marketing Specialist
    Copywriter / Content Writer (AI-augmented)
    UX / UI Designer (AI-driven design workflows)
    Graphic Designer (AI-assisted)

    4. Operations & Automation

    Automation Engineer
    Workflow Optimisation Specialist
    Process Improvement Manager

    5. Customer Experience & Support

    Conversational AI Developer
    Customer Experience Manager (AI tools)
    Chatbot Specialist

    6. Sales & Business Development

    Sales Enablement Manager (AI-powered insights)
    Lead Generation Specialist (AI tools)

    7. Finance & Risk

    Quantitative Analyst
    Risk Analyst (AI modelling)
    Financial Planning & Analysis (AI forecasting)

    8. Human Resources

    HR Technology Specialist
    Talent Acquisition Specialist (AI sourcing)

    9. Legal & Compliance

    Legal Technology Consultant
    Compliance Analyst (AI-assisted review)

    10. Healthcare & Life Sciences

    Medical Informatics Specialist
    Healthcare Data Analyst (AI diagnostics)

    11. Education & Training

    Instructional Designer (AI course authoring)
    Development Specialist (AI content creation)

    Generative AI Certifications Available:

    GA Nanodegree

    Master the principles of Generative AI and elevate your career by developing advanced Python programming skills to build and deploy cutting-edge generative models

    Skills You Will Learn

    • Prompt Engineering
    • AI Tool Integration
    • AI-Driven Workflow Design
    • Retrieval-Augmented Generation (RAG) Pipelines
    • AI Model Performance Evaluation
    • AI Bias Mitigation
    • Deploying AI Solutions
    • AI Security and Risk Management

    Course Fees & Subsidies

    As a UTAP training provider, we’re here to help you make learning Generative AI more accessible.

    Course Fees (incl. GST)
    Launch Promotion (Limited Time Only) $763

    Further reduce your out-of-pocket costs with:

    Heicoders Academy

    SkillsFuture Credits can be used to offset the Generative AI course fees for Singapore Citizens aged 25 and above

    Heicoders Academy

    NTUC Union members can be reimbursed with 50% of unfunded course fees (up to $250 a year) with UTAP

    Generative AI Course Overview

    Our GA100 Generative AI for Automation and Productivity is a four-lesson, live online training course that introduces you to both the practical use of generative AI tools and the underlying concepts that power them. Learn how to design, deploy and evaluate AI-driven workflows to boost productivity, automate routine tasks and unlock new business opportunities.

     
    📅

    4 Lessons

    🕒

    3-Hour Lesson Duration

    💻

    Held on Zoom

    👩🏻‍🏫

    1 Instructor

    👬🏻

    1-2 Teaching Assistants

    Part of:

    GA Nanodegree

    Learning Objective

    By course end, you will be able to:

    1. Apply advanced prompt engineering techniques for high-quality outputs
    2. Build simple retrieval-augmented generation (RAG) pipelines
    3. Evaluate model performance using key benchmarks
    4. Identify and mitigate AI biases, security risks and failure modes

    Course Outline

    Lesson 1: Generative AI in Everyday Life

    • Overview of the Generative AI landscape and key trends
    • Core concepts in Generative AI (models, training and outputs)
    • Generative AI tools and business use cases
    • Fundamentals of prompt engineering
    • Advanced prompt engineering strategies (e.g. chain-of-thought prompting, zero-shot vs few-shot prompting)

    Lesson 2: Building Blocks of Large Language Models (LLMs)

    • Introduction to how Large Language Models (e.g. ChatGPT) work
    • Inference mechanisms and fine-tuning strategies
    • Role of supervised fine-tuning (SFT) in model optimisation
    • Reinforcement learning and how AI learns from feedback
    • Limitations and cognitive biases in LLMs

    Lesson 3: Making Sensible Decisions on AI

    • What making “sensible decisions” on AI means and why it matters
    • Designing robust AI systems: architectural patterns and trade-offs
    • Retrieval augmented generation (RAG) to enhance knowledge retrieval for better model output
    • Performance metrics and benchmarking for AI models
    • AI vulnerability, security risks and safety protocols

    Lesson 4: Building AI Workflows for the Future

    • What future-ready AI workflows are and why they’re important
    • Multi-agent AI systems and coordination strategies
    • Optimising AI-driven business workflows in dynamic environments
    • Orchestrating complex AI systems at scale
    • Understanding AI scaling laws and their implications

    Our Instructors

    We’ve carefully selected only the best instructors at Heicoders Academy – people who are not only experts in their field but also genuinely passionate about helping you learn. With their extensive industry experience, we are confident that you will gain a wealth of knowledge from them.

    Upcoming Course Dates

    Find a course time that fits your schedule below and click to apply. Keep in mind that limited slots are available and are assigned out on a first-come-first-served basis.

    The Heicoders Guarantee

    Heicoders Academy is founded and run by a team of passionate technology industry practitioners who believe that their collective expertise and insights could fill the increasing technology skill gap in the country.

    We’re eager to share our experiences and are out on a mission to create tech courses in Singapore that not only address the shortcomings of existing courses but also aim to inspire the next generation of technology-sector talents.

    Every Heicoders Academy course, including our Generative AI course, is crafted and regularly updated by an esteemed Academic Board, consisting of university professors and industry veterans with extensive experience as practitioners and hiring managers.

    Course Reviews and Testimonials

    Heicoders Academy is proud to be recognised by our graduates for our ability to deliver comprehensive and practical content in a beginner-friendly manner. Embark on your Heicoders experience today and discover our dedication to delivering high-quality education.

    Frequently Asked Questions

    Here are the questions we receive most often:

    Is GA100 suitable for me?

    Our Generative AI GA100 course is designed for professionals, entrepreneurs and AI enthusiasts from all backgrounds. No prior programming or data science background is required – only basic computer literacy and a willingness to learn.

    What do I need to participate?

    All you need is a laptop or desktop computer with stable internet, webcam and microphone. We recommend using Google Chrome or Microsoft Edge for the best experience. No software installation is required – all of our course materials and AI tools are browser-based.

    How is the course delivered?

    All of the lessons in our Generative AI course are conducted live via Zoom. Our sessions will include interactive demonstrations, guided exercises and real-time Q&A.

    Will lesson recordings be available?

    Yes, lesson recordings are provided after each Generative AI course lesson.

    You are welcome to use the lesson recordings and materials for reference whenever you need a review of a particular lesson. Our Heicoders curriculum team takes great pride in documenting the class content thoroughly, so feel free to go through the lesson materials at your own pace. You could always reach out to your Teaching Assistants as well if you have questions outside of class.

    Are there any hidden costs?

    No, all required tools and resources are free-of-charge.

    Will the course cover AI ethics, security and bias?

    Yes, we integrate best practices for responsible AI use in our Generative AI course. This includes bias mitigation, data privacy and adversarial risks.

    Is there any form of certification upon completing the course?

    Yes, digital certs are provided upon completion of the Generative AI course! All Heicoders students will receive a digital certification (accessible via website, PDF downloadable), which can also be uploaded onto LinkedIn. Here’s an example below (link here), and instructions on how to do so will be provided at the end of the course.

    For payment, could I make a deposit first, and complete the payment closer to the course’s commencement date?

    Unfortunately, you must make the payment in full to begin the Generative AI course. Due to the limited availability of course slots, we are unable to guarantee you a seat in the upcoming cohort until the full payment is received.

    We usually encourage students to make payment in one go to facilitate the issuance of receipts, especially if students need them for reimbursement by their companies or subsidy programmes like 

    NTUC UTAP.

    I am keen on your class but can’t make it for one session. Is there a makeup class?

    Yes, a makeup class for our Generative AI course is possible on a case-by-case basis. We strongly advocate for full attendance among students, but we recognise that severe unforeseen events may occur. For such instances, we will grant such students a one-time accommodation to attend a makeup session or a live stream of the recorded class.

    If you are planning on using any subsidies (e.g. UTAP, IBF, SkillsFuture Credits), do note that these subsidies will require you to have at least 75% class attendance before you are eligible for subsidies.

    I just registered for the course and am a NTUC Union member. How do I apply for the UTAP subsidy?

    The UTAP subsidy is disbursed by NTUC to eligible students on a reimbursement basis. After completing the Generative AI course, Heicoders students can apply on the NTUC website for reimbursement, and once approved, will receive a direct deposit from NTUC to their bank accounts within two to three weeks.

    You can find more details on the eligibility requirements and claims process on this NTUC UTAP website. On our end, we provide a PDF step-by-step guide on how to submit the claim at the end of the course.

    Have a question we haven't answered?

    Media Features

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    Heicoders Academy Co-Founders Yu Ning and Min Yan shares with The Straits Times' Venessa Lee about their efforts to weave in digital and AI tools to save $8k/month for the academy

    TSL’s Faith Leong discusses Heicoders Academy’s AI courses, which is led by industry professionals and focuses on making machine learning accessible and relevant through practical capstone projects and real-world applications

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