Get in Touch

Frasers Tower

Level 17, 182 Cecil Street, Singapore 069547, Singapore, 069547

Frasers Tower is a 38-storey Grade A office development with a three-storey cascading retail podium strategically located at the gateway to the dynamic Central Business District.

Only U Space

10 Anson Rd, #31-06 International Plaza , Singapore 079903, Singapore, 079903

International Plaza is a 50-storey office cum residential complex situated in Singapore’s CBD. The construction was part of a grand redevelopment plan for the central area of Singapore.
NobleProg Training Place, City Signature Asia Square

Signature Asia Square

8 Marina View, #42-01 & #43-01 Asia Square Tower 1, Singapore , 018960

Easiest: MRT

The closest MRT station is Downtown (DT17) on the Downtown Line. It is about a 2–3 minute walk from Asia Square Tower 1.

  • Take the Downtown Line to Downtown MRT (DT17).
  • Use Exit G (the building's official site lists Exit G).
  • Walk toward Asia Square Tower 1 / 8 Marina View.
  • Enter Tower 1 and take the lift to Level 42 or 43

Other convenient stations:

  • Shenton Way (TE19) — about 2–5 min walk.
  • Marina Bay (NS27/CE2/TE20) — about 4–6 min walk.
  • Raffles Place (NS26/EW14) — about 6 min walk.

By bus

There are several nearby bus stops. The closest are around Downtown MRT / Central Boulevard and are about a 4-minute walk away. Services include 97, 106, 133, 502 and 646 at Central Blvd – Downtown Stn Exit E.

Another nearby stop is One Raffles Quay, served by buses including 10, 57, 70, 75, 100, 107, 130, 131, 162, 167, 186 and 196.

Explore Our Courses

Multimodal AI with DeepSeek: Integrating Text, Image, and Audio

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level to advanced-level AI researchers, developers, and data scientists who wish to leverage DeepSeek’s multimodal capabilities for cross-modal learning, AI automation, and advanced decision-making.

By the end of this training, participants will be able to:

  • Implement DeepSeek’s multimodal AI for text, image, and audio applications.
  • Develop AI solutions that integrate multiple data types for richer insights.
  • Optimize and fine-tune DeepSeek models for cross-modal learning.
  • Apply multimodal AI techniques to real-world industry use cases.
Read more...

Multi-Modal AI Agents: Integrating Text, Image, and Speech

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level to advanced-level AI developers, researchers, and multimedia engineers who wish to build AI agents capable of understanding and generating multi-modal content.

By the end of this training, participants will be able to:

  • Develop AI agents that process and integrate text, image, and speech data.
  • Implement multi-modal models such as GPT-4 Vision and Whisper ASR.
  • Optimize multi-modal AI pipelines for efficiency and accuracy.
  • Deploy multi-modal AI agents in real-world applications.
Read more...

Prompt Engineering for Multimodal AI

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at advanced-level AI professionals who wish to enhance their prompt engineering skills for multimodal AI applications.

By the end of this training, participants will be able to:

  • Understand the fundamentals of multimodal AI and its applications.
  • Design and optimize prompts for text, image, audio, and video generation.
  • Utilize APIs for multimodal AI platforms such as GPT-4, Gemini, and DeepSeek-Vision.
  • Develop AI-driven workflows integrating multiple content formats.
Read more...

Building Custom Multimodal AI Models with Open-Source Frameworks

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at advanced-level AI developers, machine learning engineers, and researchers who wish to build custom multimodal AI models using open-source frameworks.

By the end of this training, participants will be able to:

  • Understand the fundamentals of multimodal learning and data fusion.
  • Implement multimodal models using DeepSeek, OpenAI, Hugging Face, and PyTorch.
  • Optimize and fine-tune models for text, image, and audio integration.
  • Deploy multimodal AI models in real-world applications.
Read more...

Multimodal AI for Industrial Automation and Manufacturing

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level to advanced-level industrial engineers, automation specialists, and AI developers who wish to apply multimodal AI for quality control, predictive maintenance, and robotics in smart factories.

By the end of this training, participants will be able to:

  • Understand the role of multimodal AI in industrial automation.
  • Integrate sensor data, image recognition, and real-time monitoring for smart factories.
  • Implement predictive maintenance using AI-driven data analysis.
  • Apply computer vision for defect detection and quality assurance.
Read more...

Multimodal AI for Real-Time Translation

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level linguists, AI researchers, software developers, and business professionals who wish to leverage multimodal AI for real-time translation and language understanding.

By the end of this training, participants will be able to:

  • Understand the fundamentals of multimodal AI for language processing.
  • Use AI models to process and translate speech, text, and images.
  • Implement real-time translation using AI-powered APIs and frameworks.
  • Integrate AI-driven translation into business applications.
  • Analyze ethical considerations in AI-powered language processing.
Read more...

Multimodal AI for Smart Assistants and Virtual Agents

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at beginner-level to intermediate-level product designers, software engineers, and customer support professionals who wish to enhance virtual assistants with multimodal AI.

By the end of this training, participants will be able to:

  • Understand how multimodal AI enhances virtual assistants.
  • Integrate speech, text, and image processing in AI-powered assistants.
  • Build interactive conversational agents with voice and vision capabilities.
  • Utilize APIs for speech recognition, NLP, and computer vision.
  • Implement AI-driven automation for customer support and user interaction.
Read more...

Multimodal AI for Healthcare

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals, medical researchers, and AI developers who wish to apply multimodal AI in medical diagnostics and healthcare applications.

By the end of this training, participants will be able to:

  • Understand the role of multimodal AI in modern healthcare.
  • Integrate structured and unstructured medical data for AI-driven diagnostics.
  • Apply AI techniques to analyze medical images and electronic health records.
  • Develop predictive models for disease diagnosis and treatment recommendations.
  • Implement speech and natural language processing (NLP) for medical transcription and patient interaction.
Read more...

Multimodal LLM Workflows in Vertex AI

 14 Hours

This live training in Central helps practitioners design, build, and optimize multimodal LLM workflows in Vertex AI. It covers Gemini models, long-context reasoning, and pipelines integrating text, audio, and image data. Hands-on labs ensure practical, real-world readiness.

Read more...

Multimodal AI for Finance

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level finance professionals, data analysts, risk managers, and AI engineers who wish to leverage multimodal AI for risk analysis and fraud detection.

By the end of this training, participants will be able to:

  • Understand how multimodal AI is applied in financial risk management.
  • Analyze structured and unstructured financial data for fraud detection.
  • Implement AI models to identify anomalies and suspicious activities.
  • Leverage NLP and computer vision for financial document analysis.
  • Deploy AI-driven fraud detection models in real-world financial systems.
Read more...

Human-AI Collaboration with Multimodal Interfaces

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at beginner-level to intermediate-level UI/UX designers, product managers, and AI researchers who wish to enhance user experiences through multimodal AI-powered interfaces.

By the end of this training, participants will be able to:

  • Understand the fundamentals of multimodal AI and its impact on human-computer interaction.
  • Design and prototype multimodal interfaces using AI-driven input methods.
  • Implement speech recognition, gesture control, and eye-tracking technologies.
  • Evaluate the effectiveness and usability of multimodal systems.
Read more...

Multimodal AI for Content Creation

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level content creators, digital artists and media professionals who wish to learn how multimodal AI can be applied to various forms of content creation.

By the end of this training, participants will be able to:

  • Use AI tools to enhance music and video production.
  • Generate unique visual art and designs with AI.
  • Create interactive multimedia experiences.
  • Understand the impact of AI on the creative industries.
Read more...

Multimodal AI in Robotics

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at advanced-level robotics engineers and AI researchers who wish to utilize Multimodal AI for integrating various sensory data to create more autonomous and efficient robots that can see, hear, and touch.

By the end of this training, participants will be able to:

  • Implement multimodal sensing in robotic systems.
  • Develop AI algorithms for sensor fusion and decision-making.
  • Create robots that can perform complex tasks in dynamic environments.
  • Address challenges in real-time data processing and actuation.
Read more...

Multimodal AI for Enhanced User Experience

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level UX/UI designers and front-end developers who wish to utilize Multimodal AI to design and implement user interfaces that can understand and process various forms of input.

By the end of this training, participants will be able to:

  • Design multimodal interfaces that improve user engagement.
  • Integrate voice and visual recognition into web and mobile applications.
  • Utilize multimodal data to create adaptive and responsive UIs.
  • Understand the ethical considerations of user data collection and processing.
Read more...

Multimodal AI: Integrating Senses for Intelligent Systems

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level AI researchers, data scientists, and machine learning engineers who wish to create intelligent systems that can process and interpret multimodal data.

By the end of this training, participants will be able to:

  • Understand the principles of multimodal AI and its applications.
  • Implement data fusion techniques to combine different types of data.
  • Build and train models that can process visual, textual, and auditory information.
  • Evaluate the performance of multimodal AI systems.
  • Address ethical and privacy concerns related to multimodal data.
Read more...

Last Updated:

Testimonials (1)

Our trainer, Yashank, was incredibly knowledgeable. He modified the curriculum to match what we truly needed to learn, and we had a great learning experience with him. His understanding of the domain he was teaching was impressive; he shared insights from real experience and helped us solve actual problems we were facing in our work.

Ahmed Nazeem - Maldives Pension Administration Office

Course - Multimodal AI for Enhanced User Experience

Upcoming Courses

Multimodal AI for Smart Assistants and Virtual Agents

2026-11-30 09:30
14 hours
Signature Asia Square
4030 SGD (Online)
9484 SGD (Classroom)

Multimodal LLM Workflows in Vertex AI

2026-12-14 09:30
14 hours
Frasers Tower
4030 SGD (Online)
9484 SGD (Classroom)

Multi-Modal AI Agents: Integrating Text, Image, and Speech

2026-12-28 09:30
21 hours
Only U Space
6045 SGD (Online)
14226 SGD (Classroom)

Multimodal LLM Workflows in Vertex AI

2027-01-11 09:30
14 hours
Signature Asia Square
4030 SGD (Online)
9484 SGD (Classroom)

Multimodal AI for Smart Assistants and Virtual Agents

2027-01-25 09:30
14 hours
Frasers Tower
4030 SGD (Online)
9484 SGD (Classroom)

Other regions in Singapore

Other Countries

These courses are also available in other countries

Consulting

Multimodal AI Consulting
Online Multimodal AI training in Central, Multimodal AI training courses in Central, Weekend Multimodal AI courses in Central, Evening Multimodal AI training in Central, Multimodal AI instructor-led in Central, Multimodal AI coaching in Central, Multimodal AI classes in Central, Multimodal AI trainer in Central, Weekend Multimodal AI training in Central, Multimodal AI instructor-led in Central, Multimodal AI instructor in Central, Evening Multimodal AI courses in Central, Multimodal AI one on one training in Central, Multimodal AI on-site in Central, Multimodal AI private courses in Central, Multimodal AI boot camp in Central, Online Multimodal AI training in Central