Full Stack Development with AI

Accelerate your full stack development career with AI integration

  • Certification from Asia’s #1 ranked institute (QS World University Ranking 2024)
  • Learn integration of AI and Gen AI in full stack development cycle
  • Online with 2+ live sessions
  • 2-week capstone project

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Please note that the programme duration includes a break week for Christmas from 24th Dec 2024 to 1st Jan 2025, and for Chinese New Year from 28th Jan 2025 to 3rd Feb 2025.

Future-Proof Your Career: Invest in Your Success

Emeritus is collaborating with NUS School of Computing to help you unlock transformative career growth. Enrol before 22 November 2024 using this code: APAC100ALL5924 and get - USD 100 program fee benefit. Limited seats to success available. Claim yours now.

Upcoming deadline: 22 November 2024

Programme Highlights

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Pre-recorded video lectures* from NUS faculty for self-paced learning

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Earn a certificate from Asia’s highest-ranking institute

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Modules on AI and Generative AI to understand the application of AI in full stack development cycle

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2+ live sessions with faculty and industry experts

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2-week capstone project to apply the learnings in real-world scenario

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Real-world case studies and examples

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Tool-based hands-on learning

Note:  

  • This is a self-paced asynchronous programme. Post-session video recordings will be available for up to 12 months after programme completion. 

  • Assignments are graded by industry practitioners who are available to support participants in their learning journey and/or by the Emeritus grading team.  

  • The final number of quizzes, assignments and discussions will be confirmed closer to the programme’s start date. 

Learning Outcomes

  • Gain skills and knowledge for proficient development of end-to-end applications.  

  • Master both frontend and backend technologies through an immersive learning experience.  

  • Gain an understanding of AI fundamentals and their integration into full-stack development. 

  • Identify areas where AI can create value, improve efficiency, optimise processes, and enhance decision-making within organisations. 

Who is this Programme for?

  • Entry level tech professionals looking to start a career or switch to a high-growth field and gain exposure to the full development lifecycle.   

  • Early and mid-level tech professionals looking for new trends and technologies to bring innovation and automation to their organisations.

Programme Modules

Explore Industry-Relevant Tools

Note:

  • All product and company names mentioned in this material are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.

  • The tools will be taught by teaching faculty, industry practitioners, or linked to relevant knowledge bases for your reference and self-guided learning.

  • Apart from the tools mentioned above, learners will get to experience other industry related tools.

Programme Faculty

Prof. Tan Wee Kek

Associate Professor (Department of Information Systems & Analytics)

Prof. Tan Wee Kek graduated with a Doctor of Philosophy in Information Systems in July 2013 and a Bachelor of Computing in Information Systems (1st Class Honours) in July 2007...

Dr. Lek Hsiang Hui

Senior Lecturer (Department of Information Systems & Analytics)

Lek Hsiang Hui is a Senior Lecturer at the Department of Information Systems and Analytics at the National University of Singapore (NUS) School of Computing. He graduated with...

Dr. Prabhu Natarajan

Senior Lecturer (Department of Computer Science)

Dr. Prabhu Natarajan is a Senior Lecturer at the National University of Singapore's School of Computing. With over a decade of teaching experience, Dr. Natarajan has instructe...

Ms. Samantha Sow

Senior Lecturer (Department of Information Systems & Analytics)

Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of ...

Mr Uli Hitzel

Industry Expert (Dyson)/Executive Education Fellow (Date Engineering & Automation)

Uli Hitzel has been working with data engineering, automation, and distributed systems since the early days of the internet. With experience from companies including Dyson, Mi...

Certificate

Certificate

Upon successful completion of the programme, participants will be awarded a verified digital certificate by the NUS School of Computing.

Note:

All certificate images are for illustrative purposes only and may be subject to change at the discretion of the NUS School of Computing.

Emeritus Career Services

Stepping into a business leadership career requires a variety of job-ready skills. Below given services are provided by Emeritus, our learning collaborator for this program. The primary goal is to give you the skills needed to succeed in your career; however, job placement is not guaranteed.

Emeritus provides the following career preparation services:

  • Resume building videos

  • Interview preparation videos

  • Linkedln profile building videos

  • Glossary of resume templates

Please note:

NUS or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. NUS is not involved in any way and makes no commitments regarding the Career Services mentioned here

The Learning Experience

More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programmes said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the programme delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the programme in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.

A dedicated programme support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

Early registrations are encouraged. Seats fill up quickly!

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