Generative AI for Beginners

What is Generative AI for Beginners?

Generative AI for Beginners is a 21-chapter course for beginners from the Microsoft Cloud Advocates team. The course explains the core concepts of generative AI, model selection, hint engineering, text and image generation, chatbot development, and other practical skills in an easy-to-understand way. The course combines videos, written materials, code samples, and extension resources to help learners quickly get started and practice generative AI application development. Through systematic learning, beginners can master the skills from basic to advanced, and lay a solid foundation for building their own AI projects.

Key Features of Generative AI for Beginners

• systematic teaching: A comprehensive coverage of the body of knowledge of generative AI, from basic concepts to advanced applications.
• modeling practice: Familiarize learners with the application of multiple generative AI models through code samples and project exercises.
• Practical guidance: Provides hands-on skills in multiple scenarios from text generation to image creation and chatbot development.
• Tool ApplicationsThe following topics will be covered: low-code tools, function calls, and other techniques to help you quickly develop generative AI applications.
• Security and OptimizationThis section describes how to protect generative AI applications and how to manage their lifecycle.
• Extended Learning: Each chapter provides a wealth of extension resources to help learners explore related areas in depth.

How to use Generative AI for Beginners

• Access to course resourcesVisit the Generative AI for Beginners website at https://microsoft.github.io/generative-ai-for-beginners or the GitHub repository at https://github.com/microsoft/. generative-ai-for-beginners for complete learning materials and code samples.
• Setting up the learning environment: Follow the course guide to configure your development environment, such as installing Python and setting up API keys.
• Choosing a Learning Path: Learn in order from basic to advanced, or jump directly to specific chapters based on interest.
• Utilization of curricular resources: Watch the introductory video, read the documentation, run the code examples, and explore the extended resources provided by the course.
• Participate in community interactions: Join the Discord community or developer forums to exchange ideas with other learners.
• Practice Programs: Get your hands dirty developing your own generative AI apps or contribute code to open source projects.
• continuous updating: Check the GitHub repository regularly to ensure that the latest course content is being used.

Who Generative AI for Beginners is for

• beginning student: Provides step-by-step learning of generative AI from basic concepts for beginners with zero foundation.
• developers: The course is suitable for developers with some programming fundamentals (e.g. Python or TypeScript) to learn how to apply generative AI to real-world projects.
• entrepreneurs: A guide for entrepreneurs who are creating a startup on how to quickly launch a project using generative AI.
• educators: Educators who use course content for teaching or reference.
• Cross-disciplinary learners: Ideal for cross-disciplinary learners from diverse backgrounds (e.g., data science, machine learning, cybersecurity, etc.) to fast-track their entry into generative AI.