Published 4/2024
Created by Priya .
MP4 | Video: h264, 1280×720 | 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!
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