Having worked as a sales associate with this company, I feel compelled to share my experience to help potential customers avoid wasting their money. My job involved engaging with hopeful individuals seeking career advancement, only to ultimately manipulate their aspirations into selling them a subpar online training program priced at around $4,800, led by inadequately qualified instructors. The company promises job placement in high-paying roles within 3–4 months and a money-back guarantee if results aren’t achieved. However, in reality, refunds are non-existent, as per the clear directive from the CEO that no refunds should be issued, not even the initial booking fee. Operating under a work-from-home model, the CEO, based in London, exerts total control. They hire competent sales professionals but subsequently jeopardize their careers. Employees can be dismissed without warning, often through the abrupt disabling of their accounts. The pressure to generate revenue is immense, and I experienced this firsthand when a power outage delayed my response to the company, leading to my immediate termination. This incident illustrates the company’s true nature. The CEO, seemingly unconcerned about the employees' welfare, reaps profits while they toil to meet revenue targets. To any former sales associates reading this—consider resigning and seeking employment elsewhere. Your efforts and career aspirations are not valued here. I regret the time I spent and the learners I assisted during my tenure. I generated substantial revenue, yet I am still owed pending incentives and a month’s salary following my termination. The CEO has even blocked my number after threatening me during a call. I feel intimidated by his aggressive communication. He seems to believe he can act without consequences, profiting from the misfortune of countless learners.
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Founded by Mr. Atul Kumar, a renowned Multi-Cloud and DevOps expert and published author, K21Academy is a premier online training platform dedicated to advancing careers in Cloud Computing, DevOps, Data Engineering, and AI/ML technologies.
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