5 dangers of AI training courses

Beware the dangers surrounding AI training courses!

The growth and evolution of artificial intelligence (AI) is transforming the business landscape before our very eyes. Organizations are investing huge sums of money, time and resources in piloting, using and building various types of AI to drive innovation, streamline operations and enhance efficiencies. 

The widespread adoption also looks set to have a stark impact on workforces – particularly in the next few years. By 2027, nearly 44 percent of workers’ skills are expected to be disrupted by AI, according to the World Economic Forum (WEF). Meanwhile, Meta recently announced their intention to hire a wave of AI engineers.

This is driving a surge in demand for upskilling to keep pace with AI advancements. Data suggests a staggering 90 percent increase in searches for “AI training courses” – reflecting a clear need for accessible, timely resources for increasing AI knowledge, understanding and skills. 

Education institutions like Harvard and technology companies such as Google, AWS and IBM have all launched AI training courses to address the heaving demand for skills and learning resources.

However, while a stark uptick in AI training courses offers multiple benefits and opportunities for both individuals and organizations, there are some significant issues to consider when searching for AI training.

The following risks were identified by experts at AI technology firm AIPRM.

1. Fake certificates and degrees

Some AI courses misleadingly advertise “official degrees” or certifications, which may not be recognized by employers or academic institutions. They use flashy titles to appear legitimate but ultimately fail to provide the credentials that will help you advance in your career.

“The lack of affiliation with reputable universities, well-known platforms like Coursera or edX, or established tech companies should raise significant concerns,” according to AIPRM. 

Without endorsements, the value of certifications can be nonexistent and don’t carry weight in the job market or academic circles. Be cautious if a course doesn’t have ties to accredited organizations or recognized industry leaders, as this could indicate a lack of credibility or industry recognition.

“Accreditation ensures that the course meets established standards, while connections with reputable organizations can enhance your learning experience and career prospects.” Before enrolling, always research the institution’s credentials and affiliations.

2. Outdated or shallow content (at premium prices)

AI moves quickly, with new terms and capabilities constantly coming to the fore. Some platforms charge large fees for AI courses that feature outdated, low-quality or surface-level information. These courses may claim to offer expert-level training but can lack depth, failing to equip learners with real-world, applicable skills. You may also find similar content for free or at a fraction of the cost elsewhere.

If a course doesn’t include a detailed syllabus or clear learning outcomes – not to mention if it promises unrealistic results – be cautious about signing up. You may find yourself out of pocket with very little to show for it. 

3. AI-generated and repackaged content

Scammers sometimes offer AI courses that are essentially AI-generated or repackaged free content from other sources, AIPRM warns. “These courses often lack the expertise or personal touch from experienced instructors, leaving students with little more than automated, generic lessons.”

Look out for instructors without credible credentials or proven experience in AI or related fields. If their profiles appear vague or overly promotional, with little tangible work in the field, the course may lack quality.

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4. Fake job guarantees

It’s not unheard of for AI training courses to make bold job guarantees upon completion, only to fail to provide any actual opportunities.

These courses can lure learners in with the promise of employment but lack the connection to real tech companies or clear pathways to secure a job. It’s a red flag if a course promises job guarantees without clear evidence of a partnership with reputable companies or a clear hiring process. “Without follow-up or structured recruitment support, it’s likely a scam,” says AIPRM.

5. Unrealistic claims and hype

Finally, some AI training courses make outlandish promises, such as “no coding required” or “earn six figures in AI in a few months.”

AI is undoubtedly a lucrative field, these exaggerated claims can often be misleading. AI education requires significant learning and hands-on practice, and there are no shortcuts to becoming an expert.

“Be vigilant if the course doesn’t provide a clear, realistic roadmap to learning or offer a concrete method to build a portfolio, as it’s likely relying on hype rather than actual skill development,” says AIPRM. Avoid courses that promise instant success without any groundwork.

Ultimately, the rising demand for and availability of AI training courses is creating significant new opportunities to learn about and upskill on a crucially important topic.

However, before investing and/or enrolling in a seemingly great training resource, it’s important to stop and assess whether what is being offered is actually going to offer what it promises.

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