With the release of Google Bard to the public and the announcement of its AI-powered search platform, Google has made tremendous progress in catching up to competitors Microsoft and OpenAI in artificial intelligence. Now that Google has formally introduced a new generative AI learning route, the company acknowledges the need to upskill the average person to meet future work requirements. The programme includes ten courses designed to give students a thorough grasp of artificial intelligence (AI) and machine learning, especially in a world where many jobs are projected to be replaced by AI automation. These courses can equip a student with the necessary abilities to land a high-paying career in the AI industry in such a workplace.
Can Google’s long-term commitment to artificial intelligence increase the company’s stock price?
According to reports, this strategic decision has been warmly received by investors because it reflects Google’s long-term commitment to artificial intelligence and may increase the company’s stock price.
Google offers free AI training
- Seven free courses previously published in a blog post make up Google’s new generative AI learning programme; three more courses were only recently added to the site. These lectures include the differences between artificial intelligence (AI) and machine learning (ML), an introduction to Google’s ML training platform Vertex AI, and the moral issues underlying ethical AI development.
- Users can learn about the foundations of generative AI, its place in the more significant AI ecosystem, and the availability of additional learning resources for retraining in AI-focused employment by taking the courses. Critics may claim that this project strengthens Google’s position in the ongoing AI race by luring ambitious AI enthusiasts to its training system and encouraging them to use Google tools to create their own AI and machine learning models.
- But creating AI models needs specific expertise. These new courses benefit businesses like Google, which will require a sizable number of data scientists specifically focused on AI in the future. The US Bureau of Labour Statistics has predicted a 36% growth rate for data scientist employment over the next ten years.
Conclusion
In summary, general people may find AI confusing, and Google hopes to fill this knowledge gap with its new programmes and resources. This programme will help the corporation find qualified engineers and scientists for upcoming AI projects and give people the skills they need to succeed in an AI-driven environment.
