Description

Welcome to the "PYTHON programming with Google AI and ChatGPT" course. In this 3-hour intensive session, you will learn how to harness the power of Python programming alongside Google AI and ChatGPT. This course is designed to equip you with the skills to develop intelligent applications, automate tasks, and analyze data using advanced AI tools. Whether you are a beginner or an experienced programmer, this course will provide you with valuable insights into integrating Python with cutting-edge AI technologies.

Course Objectives

To understand the basics of Python programming.

To learn how to integrate Google AI and ChatGPT into Python applications.

To develop skills for building intelligent applications using AI.

To automate tasks and workflows using Python and AI tools.

To analyze data and generate insights with Python and AI.

Target Audience

Programmers and developers who want to enhance their skills with AI integration.

Data scientists and analysts looking to leverage AI tools for data processing and analysis.

Students and professionals interested in AI and machine learning.

Anyone with a basic understanding of Python who wants to explore AI applications.

Basic Understanding

No previous knowledge of any tool or software is required to take this course, as we will cover everything from the beginning. 

Course Content

No sessions available.

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PYTHON programming with Google AI and ChatGPT

Session 1: Introduction to Python Programming

  1. Overview of Python and its applications
  2. Setting up the Python environment
  3. Basic syntax and data structures
  4. Hands-on project: Writing simple Python scripts

Session 2: Getting started with Google AI

  1. Introduction to Google Gemini
  2. Setting up Google AI for Python
  3. Using Google AI for natural language processing and image recognition
  4. Hands-on project: Building an AI-powered application with Google AI

Session 3: ChatGPT for Python

  1. Overview of ChatGPT and its capabilities
  2. Setting up and accessing ChatGPT in Python
  3. Generating responses and automating tasks with ChatGPT
  4. Hands-on project: Creating a chatbot using ChatGPT

Session 4: Building Intelligent Applications

  1. Combining Python, Google AI, and ChatGPT
  2. Developing applications for real-world use cases
  3. Enhancing application functionality with AI
  4. Hands-on project: Developing an intelligent assistant

Session 5: Data Analysis and Automation

  1. Using Python for data processing and analysis
  2. Leveraging AI for advanced data insights
  3. Automating repetitive tasks with Python and AI
  4. Hands-on project: Automating data analysis tasks

Session 6: Best Practices and Advanced Techniques

  1. Debugging and optimizing Python code
  2. Integrating multiple AI tools in a single project
  3. Best practices for AI development and deployment
  4. Q&A and discussion

Session 7: Conclusion and Wrap-up

  1. Summary of key takeaways
  2. Additional resources for further learning
  3. Final Q&A session

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