在短短 4 分钟内使用 python 创建 90 个 ai 项目。
学习内容：
开发专为 ai 应用程序量身定制的 python 编程的强大技能。
掌握对文本数据进行情感分析的技术。
了解如何使用自然语言处理 （nlp） 设计和开发聊天机器人
获得使用机器学习算法分析数据、获得业务见解并为潜在机会制作预测模型的技能。
开发多样化的人工智能项目组合，展示聊天机器人开发、机器学习等方面的技能
要求：
坚实的 python 基础
熟悉数据操作技术
学习新知识的强烈愿望。
描述：
欢迎来到 python：创建高级 ai 应用程序， 这是一门为像您这样有抱负的 ai 爱好者量身定制的动态课程。
在短短 90 分钟内，本课程将通过四个引人入胜的项目让您沉浸在 python 编程和人工智能的世界中。无论您是想提高 python 技能还是开始激动人心的 ai 冒险，本课程都旨在为您提供实践知识和实践经验。
您将从快速复习面向对象编程开始，为即将到来的激动人心的项目奠定坚实的基础。在项目 1 中，您将使用自然语言处理 （nlp） 构建一个具有情感分析功能的聊天机器人。
了解如何根据用户情绪创建个性化响应，为您的应用程序增添一丝智能。项目 2 使用 pandas 和 scikit-learn 等流行库深入研究机器学习技术。
从数据中发现有价值的见解，并探索预测建模以识别商机。project 3 通过部署由 gpt-3.5 和 aws 等先进技术提供支持的聊天机器人，带您更深入地了解 ai。
了解如何管理聊天记录、使用 fastapi 部署 api 以及创建无缝的用户交互。最后，在 project 4 中，您将探索使用 streamlit 构建一个时尚的聊天界面，演示 ai 应用程序的前端。在本课程中，您将利用 github codespaces，使您能够在任何计算机上练习编码，而无需本地设置麻烦，就像在专业环境中一样。无论您的目标是提升您的 python 产品组合还是一头扎进 ai 开发，本课程都将使您能够创建令人印象深刻的 ai 应用程序。
加入我们，释放python在人工智能领域的潜力！
本课程适合谁：
经验丰富的 python 开发人员
数据科学领域的专业人士
对人工智能和机器学习充满热情的个人
寻求加深对人工智能概念的理解并获得开发人工智能解决方案的实用技能的学生或研究人员。
有兴趣利用人工智能技术的商业专业人士和企业家
Python: Creating Advanced AI Applications
Published 4/2024
Created by Priya .
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 Lectures ( 1h 24m ) | Size: 564 MB
Create 4 AI Projects with Python in just 90 Minutes.
What you'll learn:
Develop a strong command of Python programming specifically tailored for AI applications.
Master the techniques to perform sentiment analysis on textual data.
Learn how to design and develop chatbots using Natural Language Processing (NLP)
Acquire skills in using machine learning algorithms to analyze data, derive business insights, and make predictive models for potential opportunities.
Develop a diverse portfolio of AI projects showcasing skills in chatbot development, machine learning, etc
Requirements:
Solid foundation in Python
Familiarity with data manipulation techniques
Strong desire to learn new knowledge.
Description:
Welcome to Python: Creating Advanced AI Applications a dynamic course tailored for aspiring AI enthusiasts like you. In just 90 minutes, this course will immerse you in the world of Python programming and artificial intelligence through four captivating projects.Whether you're looking to enhance your Python skills or embark on exciting AI ventures, this course is designed to equip you with practical knowledge and hands-on experience. You'll start with a quick refresher on object-oriented programming, setting a strong foundation for the exciting projects ahead.In Project 1, you'll build a chatbot with sentiment analysis using Natural Language Processing (NLP). Discover how to create personalized responses based on user sentiment, adding a touch of intelligence to your applications.Project 2 dives into machine learning techniques using popular libraries like pandas and scikit-learn. Uncover valuable insights from data and explore predictive modeling to identify business opportunities.Project 3 takes you deeper into AI by deploying a chatbot powered by advanced technologies like GPT-3.5 and AWS. Learn to manage chat history, deploy APIs with FastAPI, and create seamless user interactions.Finally, in Project 4, you'll explore building a sleek chat interface using Streamlit, demonstrating the frontend of your AI applications.Throughout this course, you'll leverage GitHub Codespaces, enabling you to practice coding from any machine without local setup hassles, just like you would in a professional environment.Whether you're aiming to boost your Python portfolio or dive headfirst into AI development, this course will empower you to create impressive AI applications. Join us and unlock the potential of Python in the realm of artificial intelligence!
Who this course is for:
Experienced Python developers
Professionals in the field of data science
Individuals passionate about artificial intelligence and machine learning
Students or researchers seeking to deepen their understanding of AI concepts and acquire practical skills for developing AI solutions.
Business professionals and entrepreneurs interested in leveraging AI technologies
