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Python: Create Advanced AI Apps [2024]

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Python: Create Advanced AI Apps [2024], available at $54.99, has an average rating of 5, with 34 lectures, based on 5 reviews, and has 465 subscribers.

You will learn about 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 This course is ideal for individuals who are Experienced Python developers or Professionals in the field of data science or Individuals passionate about artificial intelligence and machine learning or Students or researchers seeking to deepen their understanding of AI concepts and acquire practical skills for developing AI solutions. or Business professionals and entrepreneurs interested in leveraging AI technologies It is particularly useful for Experienced Python developers or Professionals in the field of data science or Individuals passionate about artificial intelligence and machine learning or Students or researchers seeking to deepen their understanding of AI concepts and acquire practical skills for developing AI solutions. or Business professionals and entrepreneurs interested in leveraging AI technologies.

Enroll now: Python: Create Advanced AI Apps [2024]

Summary

Title: Python: Create Advanced AI Apps [2024]

Price: $54.99

Average Rating: 5

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • 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

Target Audiences

  • 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

Python: Creating Advanced AI Applications  is a dynamic course tailored for aspiring AI enthusiasts like you. In less than 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!

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Introduction

Lecture 2: IMPORTANT: What you should know

Lecture 3: Welcome!

Lecture 4: Incorporating GitHub Codespaces into this Course

Lecture 5: A Review of Object-Oriented Programming Concepts

Chapter 2: Project #1

Lecture 1: Project Introduction

Lecture 2: Handling User Input

Lecture 3: Analyzing sentiment

Lecture 4: Automated chatbot replies based on sentiment.

Lecture 5: Customizing chatbot responses based on sentiment analysis scores

Lecture 6: Intiating the chatbot and generating sentiment-driven responses.

Chapter 3: Project #2

Lecture 1: Project Introduction

Lecture 2: Analyzing data with Pandas, Matplotlib, and Scikit-learn.

Lecture 3: Preparing and Scaling Data.

Lecture 4: Model Selection

Lecture 5: Hyperparameter tuning

Lecture 6: Linear Regression, Random Forest, and Gradient Boosting

Lecture 7: Predicting prices using model evaluation outcomes

Chapter 4: Project #3

Lecture 1: Project Introduction

Lecture 2: Setting Up MongoDB

Lecture 3: Creating chat responses utilizing GPT-3.5 and Langchain."

Lecture 4: Retrieve conversation history for a specified session ID.

Lecture 5: Create new sessions and add chat history to existing sessions.

Lecture 6: Setting Up a FastAPI App with CORS, S3 Session, and Obtaining a Chat Response

Lecture 7: Upload files to an Amazon S3 storage bucket.

Lecture 8: Deploying and Running the Chatbot

Chapter 5: Project # 4

Lecture 1: Project Introduction

Lecture 2: Introduction to API Communication with Python

Lecture 3: File Uploads and Advanced API Interactions

Lecture 4: Streamlit App Basics and File Handling

Lecture 5: Uploading files to API endpoints with Streamlit

Lecture 6: Creating a Chat Interface with Streamlit

Lecture 7: Running the Front End of the Chatbot

Chapter 6: Course Conclusion

Lecture 1: Conclusion

Instructors

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Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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