DeepLearning.AI, an ed-tech company, has released a new short course titled 'Building Towards Computer Use with Anthropic'. The course helps learners use AI models to interact autonomously with and navigate computer interfaces.
Colt Steele, Anthropic's head of curriculum, will teach the course. It will teach students how to use Anthropic's API, multimodal prompts, and prompt caching to build an AI assistant that accomplishes a task on an interface.
This one-hour and 35 minute course is aimed at beginner-level learners, and anyone with basic Python knowledge interested in Anthropic's AI models is recommended to pick this course.
Anthropic is among the leading AI companies developing a tool that enables an AI model to autonomously use an interface. Several companies and developers are already leveraging Computer Use's capabilities. Most recently, Hume AI used Computer Use on top of their EVI 2 to build a feature that controls users' systems, guided by their voice.
The company's CEO, Dario Amodei, a few days ago, announced plans to build a "virtual collaborator", a comprehensive AI agent that can autonomously handle multiple everyday tasks. He also stated that computer use was just "one piece" of the company's vision, which was to build agents for a broad range of use cases.
For example, the "virtual collaborator" can write, compile, and check code and even communicate with other workers on Slack.
That said, Google's Project Mariner, Microsoft's Copilot Vision, and most recently, OpenAI's Operator rival Computer Use.
In December last, DeepLearning.AI released a short course titled 'Reasoning with o1', which teaches how to leverage the capabilities of OpenAI's o1 reasoning model. It covers topics such as task identification, new prompting techniques, multi-step orchestration with models like GPT-4o-mini, coding applications, and image understanding.
Currently, the platform offers over 50 short and free courses that help learners understand the newest, cutting-edge tools in generative AI. However, it also offers specialised courses on broader topics like data engineering, machine learning, and deep learning.
Founder and CEO of DeepLearning.AI Andrew Ng's efforts in democratising AI education have reached over 7 million students who are using the platform to upskill in artificial intelligence.
