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Jun 6, 2024 · Python offers a plethora of libraries and frameworks for building AI applications. Choose the ones that best suit your project requirements. Common choices include: TensorFlow and PyTorch: For deep learning models. scikit-learn: For traditional machine learning algorithms. NLTK and spaCy: For natural language processing.
- AI With Python Tutorial
AI With Python Tutorial. Here, you'll learn all AI concepts...
- AI With Python Tutorial
Mar 14, 2024 · This article will explore fundamental steps and options for creating a successful AI Application with Python and other tools. Step 1: Define Your Objective Start by defining the problem you aim to solve with your AI model.
Jun 10, 2024 · AI With Python Tutorial. Here, you'll learn all AI concepts with Python. First, we cover AI, including its branches like Machine Learning, Deep Learning, NLP, and Computer Vision. Additionally, we explore trendy AI technologies, including Generative AI and more. Artificial Intelligence Concepts.
In this step-by-step tutorial, you'll build a neural network from scratch as an introduction to the world of artificial intelligence (AI) in Python. You'll learn how to train your neural network and make accurate predictions based on a given dataset.
- Overview
- Generative AI for Beginners - A Course
- 🌱 Getting Started
- 🧠 Ready to Deploy?
- 🗣️ Meet Other Learners, Get Support
- 🚀 Building a Startup?
- 🙏 Want to help?
- 📂 Each lesson includes:
- 🗃️ Lessons
- 🎒 Other Courses
18 Lessons teaching everything you need to know to start building Generative AI applications
Version 2 of this course is currently being deployed. Official Release February 23rd. Pardon the mess meanwhile
Learn the fundamentals of building Generative AI applications with our 18-lesson comprehensive course by Microsoft Cloud Advocates.
This course is 18 lessons. Each lesson covers its own topic so start wherever you would like!
Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both Python and TypeScript when possible.
Each lesson also includes a "Keep Learning" section with additional learning tools.
What You Need
•Access to the Azure OpenAI Service OR OpenAI API - Only required to complete coding lessons
•Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses.
If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both Python and TypeScript.
Join our official AI Discord server to meet and network with other learners taking this course and get support.
Sign up for Microsoft for Startups Founders Hub to receive free OpenAI credits and up to $150k towards Azure credits to access OpenAI models through Azure OpenAI Services.
Find spelling errors, code errors or have a suggestion? Raise an issue or Create a pull request
•A short video introduction to the topic
•A written lesson located in the README
•Python and TypeScript Code Samples supporting Azure OpenAI and OpenAI API
•Links to extra resources to continue your learning
🌟 Special thanks
Special thanks to John Aziz for creating all of the GitHub Actions and workflows
Oct 23, 2023 · Python has emerged as one of the most preferred languages for developing AI applications due to its simplicity, versatility, extensive libraries/packages support, and large community base. Why is...
People also ask
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Utilize Python libraries like Flask and Gradio to create web applications that interact with generative AI models. Build generative AI-powered applications and chatbots using generative AI models, Python, and related frameworks.
