Jobs are changing, even if we’re not changing jobs: The skills required to do the average job globally have been projected to change 51% by 2030 (since 2016), and the rise of generative AI is expected to accelerate this change to 68%. Talent leaders have an enormous role to play in helping people develop the skills they need to keep pace with this change and thrive in the AI era.
And yet despite four out of five people saying they want to learn more about how to use AI in their profession, companies are lagging: A recent survey found only a third (38%) of U.S. executives say they’re currently helping their employees become AI-literate.
To help, I’m happy to share that we’re unlocking 250 AI courses, which span seven languages, through April 5 to help people across industries, roles, and levels invest in themselves and navigate this moment. The demand is clear: We’ve seen a 5x increase year-over-year in the number of learners engaging with AI content. Whether you’re aiming to build general fluency in generative AI, empower your teams to make GAI-powered business investments, or upskill engineers to maintain and train AI models, we are here to help you meet any need or challenge.
Check out these free courses in English, Brazilian Portuguese, French, German, Japanese, Mandarin, and Spanish. Pro tip: Sort by your “Level” to explore beginner, intermediate, or advanced courses in your language.
I hope you find these courses helpful.
Learning topics (and course highlights) include:
General AI-literacy for all
For any professional hoping to achieve fluency in generative AI and responsible AI foundations.
GAI for different roles
For professionals looking to learn GAI skills relevant to their specific role.
GAI for power users and tech audiences
For professionals who need to work with large language models (LLMs) to build or modify AI-powered business investments.
GAI for specialized roles
For tech professionals and AI/ML engineers who need specialized training to maintain and train AI models.
- Maintaining: MLOps, cloud, security, and frameworks to serve roles implementing AI.
- Training: Fine-tuning, model optimization, neural networks. Content targeting AI/ML engineers and data science professionals.
