EdePlearning.ai, an Edotech company, has released a new short -term course titled “Building Towards Computer Use With Anthropic”. This course helps learners to use AI models to interact with computer interfaces and operate them.
Colt Steele, the person in charge of Anthropic’s curriculum, teaches this course. We will teach students how to build AI assistants to execute tasks on the interface using Anthropic API, multi -modal prompts, and prompt cache.
The 1 hour and 35 minutes of the course is for beginner -level learners, and if you have the basic knowledge of Python and are interested in Anthropic AI models, we recommend that you choose this course.
Anthropic is one of the major AI companies developing tools to enable AI models to automatically use interfaces. Some companies and developers are already using Computer USE. Recently, Hume AI has built a function to control the user’s system based on the user’s audio in addition to EVI 2.
A few days ago, the company’s CEO, Dario Amode, announced a plan to build a comprehensive AI agent, a virtual collaborator, that can autonomously process multiple daily tasks. He also stated that the use of computers was only a part of the company’s vision, which would build an agent for a wide range of use cases.
For example, “virtual collaborator” can create, compile, and check code, and also communicate with other workers on Slack.
Nevertheless, Google’s Project Mariner, Microsoft’s Copilot Vision, and recently Openai’s rival computer USE.
Last December, Deeplearning.ai released a short -term course titled “Reassing with O1”, which teaches how to use O11 prospective functions in OPENAI. We will discuss topics such as task identification, new prompt method, multi-step orchestration using models such as GPT-4o-mini, application coding, image understanding.
Currently, this platform offers more than 50 short -term free courses that can help learners understand the latest cutting -edge tools of the generated AI. However, we also provide specialized courses on topics such as data engineering, machine learning, and deep learning.
With DeepLearning.ai’s founder and CEO, Andrew NG’s efforts to democratize AI education have reached more than 7 million students who have improved artificial intelligence using this platform.
