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Generative Ai For Beginners

Open Source
★ 111,663 • Updated Aug 13, 2026, 02:19 AM

Microsoft's Generative AI for Beginners is an open source course comprising 21 lessons that guide learners through the fundamentals of generative AI.

Use Cases ▼
01

Learning fundamental concepts of generative AI

02

Practicing prompt engineering techniques

03

Building simple generative AI applications using provided code samples

04

Understanding responsible AI principles in generative models

05

Exploring various generative AI models and their use cases

06

Preparing for more advanced AI development roles

What Problem It Solves ▼

Provides a structured, beginner-friendly learning path for individuals who want to understand and apply generative AI concepts, bridging the gap between theoretical knowledge and practical implementation.

Key Features ▼
✓

Comprehensive curriculum covering both theory and practice

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Authored by Microsoft experts and updated regularly

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Free and open source with permissive MIT license

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Includes hands-on code examples using popular AI frameworks

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Suitable for self-paced learning with clear lesson structure

Overview

Microsoft's Generative AI for Beginners is an open source course comprising 21 lessons that guide learners through the fundamentals of generative AI. The curriculum covers key concepts such as large language models, prompt engineering, responsible AI, and practical application development. Each lesson includes written explanations, code examples, and links to additional resources, making it suitable for self-paced study.

Full Description ▼

The course is designed for developers and hobbyists who are new to generative AI, providing a structured path from basic concepts to building simple applications. It leverages popular tools and frameworks like OpenAI, Azure OpenAI, and Hugging Face, and includes hands-on exercises in Python.

Hosted on GitHub under the MIT license, the repository is actively maintained by Microsoft and welcomes community contributions. It has become a popular starting point for anyone looking to enter the field of generative AI.

Pros & Cons

Pros

+

Comprehensive curriculum covering both theory and practice

+

Authored by Microsoft experts and updated regularly

+

Free and open source with permissive MIT license

+

Includes hands-on code examples using popular AI frameworks

+

Suitable for self-paced learning with clear lesson structure

Cons

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May be too basic for experienced AI practitioners

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Requires some programming knowledge, especially Python

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No formal certification or instructor support

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Content may become outdated as generative AI evolves rapidly

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Focuses on Microsoft and OpenAI tools, less coverage of alternatives

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