Python: Create Advanced AI Apps [2024]

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Priya M.

1:22:14

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1. Getting Started

1. Introduction.mp4

01:31

2. IMPORTANT What you should know.html

3.1 GitHub Repository.html

3. Incorporating GitHub Codespaces into this Course.mp4

03:01

4. A Review of Object-Oriented Programming Concepts.mp4

03:56

2. Project #1

1. Project Introduction.html

2. Handling User Input.mp4

01:32

3. Analyzing sentiment.mp4

01:29

4. Automated chatbot replies based on sentiment..mp4

00:55

5. Customizing chatbot responses based on sentiment analysis scores.mp4

02:28

6. Intiating the chatbot and generating sentiment-driven responses..mp4

02:12

3. Project #2

1. Project Introduction.html

2. Analyzing data with Pandas, Matplotlib, and Scikit-learn..mp4

05:13

3. Preparing and Scaling Data..mp4

08:01

4. Model Selection.mp4

03:45

5. Hyperparameter tuning.mp4

03:57

6. Linear Regression, Random Forest, and Gradient Boosting.mp4

04:24

7. Predicting prices using model evaluation outcomes.mp4

04:25

4. Project #3

1. Project Introduction.html

2. Setting Up MongoDB.mp4

04:30

3. Creating chat responses utilizing GPT-3.5 and Langchain..mp4

02:48

4. Retrieve conversation history for a specified session ID..mp4

01:19

5. Create new sessions and add chat history to existing sessions..mp4

01:13

6. Setting Up a FastAPI App with CORS, S3 Session, and Obtaining a Chat Response.mp4

03:49

7. Upload files to an Amazon S3 storage bucket..mp4

02:40

8.1 Python Projects AI Apps.zip

8. Deploying and Running the Chatbot.mp4

04:09

5. Project # 4

1. Project Introduction.html

2. Introduction to API Communication with Python.mp4

03:56

3. File Uploads and Advanced API Interactions.mp4

01:42

4. Streamlit App Basics and File Handling.mp4

02:31

5. Uploading files to API endpoints with Streamlit.mp4

01:22

6. Creating a Chat Interface with Streamlit.mp4

02:06

7. Running the Front End of the Chatbot.mp4

03:20

Description

Create 4 AI projects with Python in less than 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

Who is this 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

What You Need to Know?

Solid foundation in Python

Familiarity with data manipulation techniques

Strong desire to learn new knowledge.

More details

Description
Python: Creating Advanced AI ApplicationsÂ 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!
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

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Priya is a seasoned management consultant with over 10 years of experience specializing in technology solutions and risk strategy. Her expertise includes technology risk management, product development, and operations transformation. With a strong track record in advising clients, Priya has played a pivotal role in guiding businesses towards innovative solutions and strategic risk management frameworks. Her insights have been instrumental in enhancing operational efficiencies and navigating complex technological landscapes. Priya's proficiency in technology advisory and risk strategy, coupled with her proven leadership in operations transformation, positions her as a valuable asset for organizations seeking to optimize performance and mitigate risk in today's dynamic business environment.

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