In this 4-day course, students learn how to utilize popular AI API toolkits to jumpstart, create, and fix Python projects. Projects include chatbots, web apps, transforming datasets, building visualizations, code reviews, packaging projects, and writing documentation.
By the end of this course, students should have a clear understanding of how to control the APIs behind three of the leading AI tool sets, add AI APIs to their Python development workflows, use AI to identify and improve overall security, as well as fix broken code.
Direct access to the AI Platform is not required. All traffic to and from AI Platforms is provided through the training provider.
All students will receive a certificate upon completion of this course.
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In this 4-day course, students learn how to utilize popular AI API toolkits to jumpstart, create, and fix Python projects. Projects include chatbots, web apps, transforming datasets, building visualizations, code reviews, packaging projects, and writing documentation.
By the end of this course, students should have a clear understanding of how to control the APIs behind three of the leading AI tool sets, add AI APIs to their Python development workflows, use AI to identify and improve overall security, as well as fix broken code.
Direct access to the AI Platform is not required. All traffic to and from AI Platforms is provided through the training provider.
All students will receive a certificate upon completion of this course.
Previous exposure to Python is helpful but not required
Day 01
Popular AI Tools for Python Programmers
Day 02
Day 03
Building a Python Chatbot with AI
Day 04
AI and Python Visualizations and Data Sciences
Labs:
This course builds skills and demonstrates qualifications for the job roles and average base salaries below.Â
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