How to become an AI marketing specialist?

Start with marketing fundamentals, then build data skills like analytics and basic coding. Learn GenAI tools (ChatGPT, DALL·E, etc.), get certified, and build a portfolio of real projects. Stay updated on tools and trends, join AI communities, and apply your skills to deliver measurable business results. A mix of creative thinking, technical skill, and strategic insight is key.

Can I use AI to do my marketing?

Yes. AI can help create content, personalise campaigns, optimise ads, and automate workflows. Tools like ChatGPT and Canva accelerate production, while predictive models improve targeting. Start with small tasks like A/B testing emails, and scale up as you get comfortable. AI works best as a co-pilot—combine human strategy with machine speed for the best results.

How do I start AI marketing?

Begin by learning core digital marketing concepts—SEO, email, social, and analytics—then explore how AI enhances each. Start small: use ChatGPT for content creation, Canva for AI visuals, or test simple automation tools for email or ads. Take a structured course like @ASK Training’s Generative AI for Digital Marketing to build practical skills. From there, experiment, measure results, and scale what works.

Beyond ChatGPT: The Ultimate GenAI Toolkit for Workplace Productivity 

Build a practical GenAI toolkit for the workplace by learning how to use AI tools for research, document handling, content creation, prototyping, and simple workflow automation.

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Nett Course Fee
$817.50

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Course Description

Generative AI is no longer limited to ChatGPT. Many workplace tasks can now be supported by different AI tools, each designed for a specific purpose. This one-day course introduces participants to a practical GenAI toolkit for research, reasoning, document analysis, content creation, prototyping, and workflow support. Participants will explore tools such as DeepSeek, Google Gemini, NotebookLM, Google AI Studio, M365 Copilot Chat, Canva AI, CapCut AI, and Suno, with a focus on how each tool can be applied to real workplace scenarios.

Through hands-on activities, participants will learn how to use AI to generate research briefs, summarise and transform documents, create visual assets, produce video and audio content, test AI models, build simple prototypes, and design basic task-focused workflows. The course also explains when to use each tool, how to choose the most suitable tool for a task, and how multiple tools can be combined into a practical workflow stack. Responsible AI use is covered throughout, including data privacy, organisational policies, and ethical considerations.

Course Objectives

By the end of this course, learners should be able to: 

Describe the capabilities and limitations of key GenAI tools beyond ChatGPT in the context of workplace productivity.  
Select and apply suitable GenAI tools (DeepSeek, NotebookLM, Google AI Studio, Gemini, M365 Copilot Chat, Canva AI, CapCut AI, Suno) to specific work scenarios. 
Use DeepSeek, NotebookLM, Google AI Studio and Gemini to support research, reasoning and document-based tasks.  
Build simple task-focused “agents” or workflows using M365 Copilot Chat and Google AI Studio (Build) to streamline routine work.  
Create, edit and adapt AI-generated visual, video and audio content using Canva AI, CapCut AI and Suno for workplace communication.  
Apply responsible use principles, including data privacy, organisational policies and ethical considerations, when using GenAI tools at work.

Course Outline

GenAI Tools Covered in the Course (Toolkit List)

DeepSeek – Chain-of-thought reasoning
NotebookLM – Converts documents into seven multilingual, multimodal artefacts
Google AI Studio (Playground) – Test and compare Google’s AI models for free
Google AI Studio (Build) – “Vibe code” to prototype lightweight tools
M365 Copilot Chat – Build simple workplace agents and workflows
Google Gemini – Agentic AI research and insight agent
Canva AI – Editable image generation and rapid visual design
CapCut AI – Editable video creation and enhancement
Suno – AI-generated music and audio creation

Beyond ChatGPT: The Ultimate GenAI Toolkit for Workplace Productivity 

Course Duration:



1 Day (9.00am – 5.00pm)

Course Fee Details:



S$817.50 (incl. of 9% GST)

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Course Schedule

Course Name	Duration	Month	Date	Venue	Remarks
Beyond ChatGPT: The Ultimate GenAI Toolkit for Workplace Productivity ASKBCG	1 Day (9:00am - 5:00pm)	May 2026	25	Hotel	Weekdays
		July 2026	15	Hotel	Weekdays
		September 2026	28	Hotel	Weekdays

FAQs

Have a few questions on your mind? See below for some frequently asked questions. Should you have further questions, please feel free to contact us.

Do I need coding experience to attend this course?

No. This course is designed for non-technical professionals. The “Build” environment in Google AI Studio uses prompt-based “vibe coding”, no traditional programming required.

Will this course teach me how to save time at work?

Yes. You’ll learn to automate routine tasks like document summarisation, content adaptation, research, and even basic workflow automation using M365 Copilot Chat and Google Gemini.

Which tools are covered, and do I need to pay for them?

You’ll learn DeepSeek, NotebookLM, Google AI Studio, Gemini, M365 Copilot Chat, Canva AI, CapCut AI, and Suno.

No paid subscriptions are needed. Our trainer will demonstrate using their accounts, while learners follow along using each tool’s limited free tier.

Does this cover data privacy and responsible AI use?

Yes. One full section is dedicated to responsible use, including data privacy, organisational policies, and ethical considerations when using GenAI at work.