Given the rapid spread of artificial intelligence (AI) news, six tenths Americans believe AI will have a major impact on the workforce.
according to report Announced by the US White House, AI has the potential to improve productivity, efficiency and innovation. Similarly, it may exclude workers who need help adapting to AI tools and skill sets.
Open AI study We identified the types of occupations most likely to be affected by large-scale language models (LLMs). Mathematicians, analysts, researchers, and writers can take advantage of GPT to reduce the time spent on tasks.
AI alone may not be able to take most jobs. But those who use AI the right way will do so when others fail to meet new quotas and productivity expectations.
Retraining employees to fill AI roles
McKinsey investigation We found that nearly half of organizations worldwide are reskilling internal resources for AI-related roles, in addition to sourcing talent from technology companies and universities.
Organizations that chose to reskill their employees used a variety of training paths, including self-paced online courses and certifications.
It makes sense given that employees know what it takes for an organization to be successful. With AI, employees are willing to learn how to improve their productivity and creative output, making them a valuable asset to your organization.
Ongoing layoffs in the tech industry
Of course, not all companies retrain their employees for new opportunities.we saw technology companies lay off Hundreds to thousands of employees since its launch in 2023. And the layoffs aren’t over yet.
recent meta Began another layoff in search of efficiency.
According to Worker Adjustment and Retraining Notice (WARN) report Across of America, technology and many other large companies are planning more job cuts. A US employee can Google her WARN notice for her employer’s state.
Increase in job listings seeking talent with AI skills
For those looking for tech jobs, Stanford clearly The United States, Canada, and Spain were found to have the highest percentage of AI job openings in the AI Index report.
John Mueller is technical job: “My recommendation is to take the time to develop your skills and knowledge to a higher level, and then seriously consider the job once things start to improve.”
Comprehensive AI courses to enhance your skill set
Here you’ll find AI and machine learning online courses and certifications offered by tech companies and universities on your resume.
LinkedIn AI and Machines Course
LinkedIn Learning hits 100 AI and machine learning The course is free until June 15, 2023. Topics covered include Generative AI, Fundamentals of AI and Machine Learning, Responsible AI, Advanced AI, and Applied AI.
IBM AI Foundations For Everyone Specialization
this AI Introductory Course It is designed for everyone, including those with no technical or programming background.
This specialization consists of three courses: using and applying AI, using IBM Watson, and building AI chatbots.
IBM also offers AI Foundation for Business Specialization and professional certification Applied AI, artificial intelligence engineeringand machine learning.
Some courses are offered through Coursera. Coursera offers a 7-day free trial for him, after which $39/month lets him continue with one course.
If you find additional courses on Coursera, you can subscribe to our premium service for unlimited access to thousands of courses and certifications for $59/month.
Courses offering certification or college credit may have additional prerequisites, requirements and fees.
Google Machine Learning Crash Course
If you want a quick introduction to machine learning basics, try this for free Machine Learning Intensive CourseThis includes video lessons, case studies, and hands-on exercises. TensorFlow APIis an open source platform for developing and training machine learning models.
Google AI Offer Other courses About various aspects of machine learning.
If you want to pursue a career as a data scientist or machine learning engineer, Google Cloud has you covered. course For professional machine learning engineers certification.
Google Advanced Data Analytics Professional Certification
recently introduced keyword As blogged, the Google Advanced Data Analytics Professional Certificate is a self-paced course that prepares data analysts and scientists to collect and analyze data using regression and machine learning models.
It takes about 10 hours a week and can take 3-6 months to complete. course Earn a shareable certificate.
Microsoft Azure Data and AI Certification
Provided by Microsoft some certifications For data analysts, developers, and engineers using AI and Microsoft Azure.
again, Autonomous AI for industrial specialization with the University of Washington.
Arizona State University MasterTrack® Certificate in AI and Machine Learning
If you already have a bachelor’s degree, you can complete 3 courses and earn a certificate in AI and Machine Learning within an estimated 6-9 months.
Choose from four courses: Statistical Machine Learning, Artificial Intelligence, Knowledge Representation and Inference, and Introduction to Deep Learning.
The certificate program is $4,500 total or $1,500 per course.
These credits can be applied online if you meet certain ASU requirements. Master of Computer Science program.
Stanford Artificial Intelligence Professional Program
Stanford’s AI Professional Program Working professionals can dive into graduate-level AI and machine learning courses.
The program consists of 7 courses. Each course costs $1,750 and lasts 10-15 hours per week for 10 weeks.
continuing education
With the rapid development of AI and machine learning, anyone interested in the field should stay abreast of the latest AI and machine learning news relevant to their industry.
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