Google IT Automation with Python Professional Certificate The IT Automation course is the most advanced of the Google Certificates, and unlike the others, you need some basic knowledge before enrolling. Before taking the Google IT Automation with Python Professional Certificate, learners should know su...
19. Free Course Trial – Crash Course on Python by Google (Coursera) “Crash Course on Python’ offers a vibrant and swift introduction to Python, one of the most popular and versatile programming languages in today’s tech industry. This course is tailored for beginners and includes everything...
How Google does Machine Learning –This course provides an introduction to machine learning and the kind of problems it solves. It discusses Google’s strategy of AI-first and what that means in practice. You will also learn to set up Python notebooks in the cloud, called Cloud Datalab, ...
Elastic Google Cloud Infrastructure: Scaling and Automation Google Cloud via Coursera Learn to scale and automate Google Cloud infrastructure with hands-on labs covering networking, load balancing, autoscaling, and managed services for efficient cloud solutions.★★★☆ (1 rating) Preparing for Google...
Designed by industry experts, this program offers hands-on training in Python, SQL, automation, and AI integration. Master essential skills in data manipulation, advanced querying, and AI-driven problem-solving. Tailor your learning with advanced Python techniques to enhance your coding capabilities. ...
English (Publication Language) 260 Pages - 01/16/2023 (Publication Date) - BPB publications (Publisher)
该课程还将为您准备 CompTIA A+ 考试,这是IT行业的标准认证。完成这两个项目后,您将获得双重认证。此课程获得ACE®认证,完成后您可获得最多15个大学学分,相当于5门本科课程的学分。如果您有兴趣进一步深化IT基础知识,可以查看 Google IT Automation with Python Professional Certificate。点击查看所有谷歌职业证书 ...
- 掌握基础技能:学习AI常用的Python编程语言icon,掌握机器学习、深度学习、自然语言处理等基本概念。可在Coursera、Udemy、edX等平台学习相关课程icon。 - 考取专业认证:获取Googleicon AI、IBM等相关证书增加竞争力,也可参加Kaggle竞赛锻炼技能、积累经验。 - 从事相关工作:成为数据科学家、AI算法工程师等。也可在Upwor...
[Python] (https://github.com/jwasham/practice-python) You don't need to memorize the guts of every algorithm. Write code on a whiteboard, not a computer. Test with some sample inputs. Then test it out on a computer. Prerequisite Knowledge How computers process a program: How does CPU ...
[Python] (https://github.com/jwasham/practice-python) You don't need to memorize the guts of every algorithm. Write code on a whiteboard, not a computer. Test with some sample inputs. Then test it out on a computer. Prerequisite Knowledge How computers process a program: How does CPU ...