Contents
- Why are AI certifications becoming an important “career signal”?
- How do AI certifications affect salary and promotion opportunities?
- What practical skills are companies looking for from AI learners?
- Which certification options are suitable for working professionals?
- Do beginners need to know programming to learn AI?
- A perspective for the Vietnamese market
- Reference source
AI is moving from the lab into everyday workflows, from content writing and research to customer service, data analysis, and business planning. For Vietnamese marketers, the question is no longer “Should I learn AI?” but rather which path to take to prove capability and create a real career advantage.
Data from international sources shows that demand for AI certifications is rising quickly among working professionals, while employers are prioritizing application skills over conceptual knowledge. That makes AI certifications a noteworthy career signal, especially as businesses need people who can use AI safely, effectively, and responsibly.
Key points:
- 35% of employees plan to earn an AI certification in 2026, up sharply from 17% the year before.
- People with AI certifications are reported to have higher average salaries and better chances of reaching executive roles.
- Companies now prioritize practical skills such as prompt engineering, responsible AI, and workflow automation.
- Many new certifications and courses have been designed for both beginners and non-technical working professionals.
Why are AI certifications becoming an important “career signal”?
According to Analytics Insight, AI has entered nearly every modern workplace. As work becomes increasingly tied to generative tools, intelligent search, and automation, AI certifications are no longer just for polishing a résumé. They have become a way for employers to recognize that a candidate understands how to use AI in real-world contexts, not just in theory.
The source cites Pearson’s Value of IT Certification 2026 report, which shows that 35% of employees plan to earn an AI certification in 2026, compared with just 17% the year before. This shift reflects a clear change: working professionals now see AI as a core skill to add, not a “nice-to-try” capability.
How do AI certifications affect salary and promotion opportunities?
Analytics Insight cites data from Revelio Labs showing that the average salary for people with AI certifications is $79,800, higher than the $72,300 average for those without one. This gap does not automatically prove that certification is the sole reason for higher income, but it does show that the market is paying more for recognized AI capability.
The article also points to a promotion indicator: about 38.9% of people with certifications hold executive positions, compared with 32.5% in the non-certified group. For marketers and business roles, this suggests that AI certifications may not only support hiring but also help improve career progression as job responsibilities become more closely tied to data, automation, and technology-driven decision-making.
What practical skills are companies looking for from AI learners?
The most notable point in the source article is the shift in employer expectations. Companies are no longer looking for people who only know the names of models or AI terminology. They need people who can check AI outputs, protect company data, apply responsible AI principles, and use tools to improve day-to-day work performance.
That is why today’s AI certification programs focus on very specific capabilities such as prompt writing, workflow optimization, business use cases, basic machine learning understanding, and especially responsible AI. This is a meaningful direction for marketing teams, where AI is often used for ideation, drafting, campaign data analysis, and customer support.
Which certification options are suitable for working professionals?
Analytics Insight lists several programs for different professional groups. Google offers the Generative AI Leader certification for managers, marketers, product teams, and business professionals; the exam fee is $99, there are about 50 to 60 questions, and it is valid for 3 years. The content focuses on AI strategy, prompt optimization, business applications, and Google’s AI ecosystem.
AWS offers the Certified AI Practitioner for IT professionals, business analysts, cloud teams, and project managers. The exam includes 65 questions, costs $100, and is valid for 3 years. The learning framework focuses on AI fundamentals, machine learning, generative AI, and responsible AI.
On the more technical side, NVIDIA has the Certified Associate – Generative AI LLMs certification, with a fee of $125 and a 2-year validity period; the content covers prompt engineering, LLMs, Python, neural networks, and AI application development. Databricks also offers the Certified Generative AI Engineer Associate, priced at $200 with 45 questions, and recommends about 6 months of hands-on experience before taking the exam.
Do beginners need to know programming to learn AI?
The answer from the source is not necessarily. The article emphasizes that many certifications and courses today are designed for beginners, even for business users without a technical background. Google AI Professional Certificate on Coursera includes 7 courses on AI fundamentals, communication, productivity, research, and responsible AI, with no technical experience required.
IBM also offers the Generative AI Engineering Professional Certificate, typically completed in about 6 months, covering LLMs, prompt engineering, Retrieval-Augmented Generation, AI agents, LangChain, and AI deployment. In addition, IBM AI Developer Professional Certificate focuses on Python, chatbots, Watson AI, generative AI, and application development. For managers or strategy professionals, DeepLearning.AI’s AI for Everyone course is mentioned as a code-free introductory option, mainly explaining AI strategy, business opportunities, and how companies adopt this technology.
A perspective for the Vietnamese market
For the Vietnamese market, the key message is not about chasing a specific certification, but about understanding which capabilities the market values. Marketing, communications, e-commerce, and operations roles are increasingly needing people who can use AI to speed up content production, analyze data, and standardize workflows, while still controlling risks related to quality, copyright, and data.
This means working professionals should prioritize programs with practical application that can be demonstrated through real projects or work scenarios. A good certification only truly has value when it helps you work faster, more accurately, and explain how you use AI responsibly to employers or clients.
From a hiring perspective, Vietnamese businesses are also likely to increasingly favor candidates who can combine AI with professional expertise rather than just talk about tools. So instead of studying too broadly, working professionals should choose a short, goal-oriented path: learn AI fundamentals, practice prompting, understand data safety principles, and apply them immediately in daily work.
Reference source: Analytics Insight, article “AI Certifications for Working Professionals: Best Courses to Upskill”.
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This article focuses on AI certifications for working professionals with a perspective for the Vietnamese market.
