Cloud, data and AI skills are in demand, and there is support to help you pick them up. Whether you are a fresh graduate or looking to switch careers, here is a realistic look at the options.

Training support: TechSkills Accelerator (TeSA)

TeSA is IMDA's programme under the SkillsFuture framework for tech courses and digital careers. According to IMDA's 2026 announcement, TeSA was launched in 2016, has placed more than 24,300 locals into tech roles such as cloud computing, AI and analytics and cyber security, and has upskilled more than 440,000 people. IMDA also plans to expand TeSA to upskill 40,000 tech professionals over the next three years.

Programmes include:

  • Company-Led Training (CLT), with on-the-job training in areas such as AI, cybersecurity and data analytics
  • TeSA for ITE and Polytechnics (TIP Alliance), with internships and apprenticeships
  • Mid-career courses run with industry partners

Eligibility, funding and application steps differ by programme and may depend on factors like citizenship or PR status, so check the IMDA and SkillsFuture pages before you sign up.

What employers are looking for

Recruitment firm Robert Walters says AI and cloud saw rising demand in 2025, and that new data centre projects boosted hiring for infrastructure, engineering and operations roles. Employers are also shifting towards a skills-first approach, valuing practical projects and proof of skills over degrees alone.

Hays' May 2026 research says AI/ML engineers, data engineers and cybersecurity specialists see strong demand, and gives salary ranges such as S$72,000 to S$200,000 for AI engineers. Pay depends heavily on experience and role, so treat ranges as a guide.

A realistic view

The market is not without challenges. Both firms note that some entry-level and routine tasks are being affected by AI, and that contract and project-based hiring is rising. The advice is to build practical skills, show your work and keep learning.

Where to start

  1. Look at IMDA's TeSA and SkillsFuture course pages for options that suit your background.
  2. Pick one area, such as cloud, data or cybersecurity, and build a small project.
  3. Check for funding you may be eligible for before enrolling.
  4. Look for apprenticeships, internships or company-led training to get hands-on experience.

Starting small is fine. A single well-chosen course and a practical project can open a lot of doors.