Nội dung
- GenAI remains the focal point of the upskilling wave
- Hands-on AI certifications: from academia to deployment capability
- AI for leaders: when technology is tied to business strategy
- Cloud remains the indispensable foundation of every digital strategy
- A perspective for the Vietnamese market
- Reference source
As generative AI moves from experimentation to real-world deployment, choosing the right tech certifications is no longer just a concern for technical professionals. For Vietnamese marketers, it is a key signal for understanding which skills businesses are prioritizing and how to better align with product, data, and automation teams.
Content from Simplilearn shows that the IT skills market in 2026 revolves around three major pillars: GenAI, cloud, and practical application deployment capabilities. Notably, the highlighted programs are not limited to theory, but are tied to projects, tools, and job-ready skills.
- Key points:
- GenAI is seen as the most transformative skill set in the coming period, especially for content, data, and product development professionals.
- Cloud remains the mandatory foundation of most modern technology systems, with major providers such as AWS, Azure and Google Cloud.
- The standout certifications all emphasize practical application: building apps, doing projects, and understanding real deployment workflows.
- For Vietnam, this is an opportunity for marketers and digital transformation professionals to build AI-working capabilities rather than just observe the trend.
GenAI remains the focal point of the upskilling wave
Simplilearn places Generative AI at the top of the list of courses worth considering for 2026. The reason is clear: the rise of large language models and GPT tools has changed how businesses create content, automate workflows, and build digital products.
The three highlighted programs are Applied Generative AI Specialization, Microsoft AI Engineer Program, and Generative AI Applications for Leaders. What they have in common is that they go beyond concepts and focus on specific capabilities such as prompt engineering, RAG, fine-tuning, LLM application development, building AI agents, and deployment on popular tools.
For learners, the biggest value lies in the ability to move from “knowing AI” to “getting work done with AI.” Marketers can view this skill set as a way to understand how to create content with AI, design automated workflows, or collaborate with technical teams on growth projects.
Notably, the source also says GenAI hiring demand is rising very quickly, with job postings requiring these skills increasing by more than 400% year over year. Although this figure comes from a third-party source cited in the article, it still reflects the broader trend: businesses are looking for people who can implement AI, not just follow the trend.
Hands-on AI certifications: from academia to deployment capability
In Simplilearn’s list, the Microsoft AI Engineer Program is described as a pathway for those who want the skills to build and deploy AI solutions. The program covers Python, data science, machine learning, deep learning, NLP and GenAI, while also including many hands-on projects and capstone assignments.
The value of this kind of program is that it reflects today’s hiring requirements: companies do not just ask whether candidates know the tools, but whether they can integrate models into workflows, optimize outputs, and handle data in real-world contexts.
For non-technical professionals, this is a useful learning mindset. If many people previously learned AI by “understanding the concepts,” then 2026 will require learning by “mastering the process,” such as understanding data inputs, model logic, output limitations, and how to evaluate deployment effectiveness.
AI for leaders: when technology is tied to business strategy
Not everyone learns AI to become an engineer. Simplilearn also includes Generative AI Applications for Leaders, a program aimed at managers and decision-makers. The goal of the course is to help leaders understand how to bring GenAI into functions such as sales, marketing, customer service, product development, and data analysis.
This shows an important shift in training thinking: AI is no longer a tool reserved for the lab or development teams, but a strategic management capability. For marketing managers, understanding GenAI at the operational level will be far more useful than simply knowing how to write basic prompts.
The article source also emphasizes that this program comes with case studies and practical tools, helping learners build AI adoption roadmaps that can be measured by business impact. This is a suitable approach for companies looking to optimize costs, accelerate content creation, and improve customer experience.
Cloud remains the indispensable foundation of every digital strategy
Beyond GenAI, cloud computing continues to be seen as one of the most important foundational skill sets. Simplilearn notes that cloud computing is no longer an optional add-on, but has become the default operating model for most global businesses.
The article mentions the three biggest platforms that learners should know one of: Amazon Web Services, Microsoft Azure and Google Cloud Platform. Although the source content does not go deeply into each specific certification in the quoted section, the main message is clear: understanding cloud is a prerequisite for working with modern digital systems, from storage and application deployment to AI integration.
For marketers, cloud may not be the first skill to master, but it is an important foundation when working with MarTech, automation, CRM, customer data, or integrated AI platforms. In other words, learning cloud is not just for engineers; it is also useful for anyone who wants to understand how digital systems operate behind a campaign.
A perspective for the Vietnamese market
In Vietnam, demand for tech learning is shifting from “learning to know” to “learning to do the job right away.” This is especially true for generative AI, where businesses need people who understand both the tools and the business problem, data, and internal workflows.
For Vietnamese marketers, the lesson from Simplilearn’s list is not to chase every certification, but to choose the right path based on career goals. Content professionals can prioritize GenAI and prompt workflows; performance or growth professionals should pay more attention to data, automation, and cloud foundations; marketing managers should learn how to assess AI’s business impact rather than just test tools.
In an increasingly competitive talent market, certifications only truly matter when paired with hands-on projects, a portfolio, and the ability to apply them at work. This is also the most effective way to turn the AI trend into a lasting career advantage rather than a passing wave.
Reference source: Simplilearn.com, article “Best IT Courses in 2026: Top Picks for Upskilling”.
See more marketing news and guides at https://marketing365.vn.
Follow more updates from Marketing365 to stay up to date with the latest marketing trends.
Read more articles in the same category Digital Trends.
This article focuses on IT certifications 2026 with a perspective for the Vietnamese market.
