Discover the code-free era of Artificial Intelligence (AI) and machine learning, For many, learning to code has always been the first and biggest obstacle into the world of computer science. Many people run into the hurdle of writing a simple line of code, much less developing a useful AI programme that can help them predict their customers’ preferences and recommend a suitable product that meets their needs.
With the recent advancements in AI and machine learning, the world is entering into a code-free era where you can create your own programme without writing a single line of code! Using a variety of code-free machines, you can teach machines to learn and apply helpful knowledge to solve everyday problems on their own. These code-free machines often come in guided platforms, offering classic drag-and-drop functionality to fully automated machine learning services suitable for beginners and machine learning professionals.
In this one-day hands-on workshop, you will learn to create many excellent programmes ranging from training an object detector to building a topic predictor with no code at all. Plus, there will be opportunities to try out DSAID’s code-free AI products such as the Video Analytics System, GovText and Transcribe.
Key Takeaways
At the end of this programme, you will be able to:
Provide an overview of Machine Learning
Present Machine Learning workflow
Solve a regression problem
Train an Object Detector
Perform topic modelling
Transcribe an audio file to text
Identify and apply AI at work
Who Should Attend
Please refer to the job roles section.
Designed for Public Service Officers with a keen interest in making full use of data to make useful predictions.
Prerequisites
You should be IT-savvy and comfortable with performing basic software setup and configuration.
Although no prior knowledge in AI is required, you should have a basic understanding and appreciation of AI.
Programme Structure
This programme is delivered face-to-face and will cover the following topics:
Part 1: Machine Learning
Articulate the fundamentals of Machine Learning
Describe the Machine Learning workflow
Hands-on activity to solve a regression problem on a cloud platform
Part 2: Computer Vision
Articulate the fundamentals of Computer Vision
Describe the purpose and process of Transfer Learning
Hands-on activity to perform object detection on GovTech’s Video Analytics System
Part 3: Natural Language Processing
Articulate the fundamentals of Natural Language Processing
Hands-on activity to perform topic modelling on GovTech’s GovText platform
Hands-on activity to perform speech-to-text on GovTech’s Transcribe platform
Part 4: Code-free AI development
Case study AI applications from use cases in Government
Propose use cases from work where AI is applicable
This programme is delivered by Republic Polytechnic and jointly developed by Republic Polytechnic and GovTech’s Data Science & AI Division (DSAID).
Fees
Full Fee
Full programme fee
S$270
9% GST on nett programme fee
S$24.30
Total nett programme fee payable, including GST
S$294.30
With effect from 1 Jan 2024
NOTE Funding is available for this programme. Please visit the Learning Partner’s website to find out about the updated programme fee funding breakdown, eligibility, terms and conditions.
Apply through your organisation's training request system.
Step 2
Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the programme.Your organisation will send registration information to the academy.
Organisation HR L&D or or equivalent staff can register directly through the learning partner's registration portal.
The facilitator shared about the latest development in AI Tech alongside his personal experience, which was useful. We were also given the chance to network with other officers and learn about the usage of AI within their agency.
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The programme equipped us with a high-level understanding of the no-code machine learning tools available to public officers.
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The faciliator managed to break down the information into relatable examples, especially for those with little to no background in the topic. This made learning more enjoyable and productive.
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