Great Learning is all set to groom CEOs and CFOs with AI skills

• Online learning platform Great Learning has announced a senior level learning programme ‘AI for Leaders’ in partnership with University of Texas, Austin.
  
• In the last two years, there has been a 60% rise in the demand for AI learning experts, thanks to growing automation.
  
• The course will include the basics of artificial intelligence and training on database systems including SQL, No-SQL, Visualizing Data - Tableau, Machine Learning, Autonomous Vehicles and Image classification.

Online learning platform Great Learning is now offering a senior-level learning programme ‘AI for Leaders’ in partnership with University of Texas, Austin. The three-month programme will focus on training leadership roles such as directors and CXOs.

In the last two years, the demand for AI learning experts grew by 60%. The learning in this area itself is expected to grow into an $16 billion opportunity by 2025.

“AI is expected to add significant growth and value to the world’s economy and it will impact their customers, employees, investors, operations and product/service offerings. Our current business environment mandates that mid and senior leaders be aware of the possibilities that AI has to offer,” said Hari Krishnan Nair, Co-founder, Great Learning.

The course aims to fill the much-needed tech skills gap at the senior level. According to a recent survey by Great Learning, senior leaders lack AI skills that companies need.

The course will include the basics of artificial intelligence and training on database systems including SQL, No-SQL, Visualizing Data - Tableau, machine learning, autonomous vehicles and image classification.

Another survey done by Analytics Vidhya and ed-tech platform Great Learnings revealed that India currently has 50,000 vacancies in data and analytics, with another 39,000 analytics jobs expected to become available by 2020.

Skills that are needed to keep up with automation include “AI, machine learning, blockchain, cloud computing, data visualization, data engineering, IOT, data science and analytics, and extended reality (virtual reality and augmented reality),” said Bhajneet Dhingra, independent talent advisor for IT majors and startups.

See also:
The hottest AI jobs will need you to know these programming languages and tools

Three data scientists reveal what it takes to transition from physics to a data science career

Here’s why it might be the best time to opt for a career in data analytics