Requirements
- Android phone: You need an Android phone that can install QPython
- QPython version: Make sure your QPython version is no less than 3.2.9
- Personal computer (optional): It is recommended that you have your own personal computer for a better experience during the learning process (optional)
- Have a certain foundation in Python programming: You need to have completed the QPython User Guide and Python Syntax Introduction and have a preliminary grasp of Python programming.
- English proficiency: You need to have a certain level of English reading ability, and you can use tools to read the code and English comments in Python programming.
Features
- Mobile learning: You can complete your learning with just your mobile phone.
- Video courses: Video courses are provided for more intuitive and convenient learning.
- AI assistant answers questions: There is an AI assistant to answer questions.
- Communication community: Provide an APIGPT generative AI student communication community to facilitate mutual learning and communication.
- 1v1 coaching (VIP membership required): The course provides coaching guidance to help you learn better.
Target audiences
- Python developers: Developers who already have some Python programming skills and want to expand their skill set and understand and apply generative AI techniques.
- AI enthusiasts: technology enthusiasts who are interested in artificial intelligence, especially generative AI (AIGC), and hope to understand its principles and practice it.
- Application developers: Software developers who want to integrate intelligent conversation, image generation, or content creation capabilities into their own applications.
- Technology innovators: Innovators who pursue the forefront of technology and hope to apply the latest AI technology to projects to provide users with a smarter experience.
- Academic researchers: Scholars who need to use generative AI technology to generate data, simulate or conduct other related research in academic research.
- Educators: Teachers and lecturers in computer science or related fields who wish to incorporate generative AI concepts and applications into their teaching.
- Students: Students studying computer science, data science, or related majors in colleges or other educational institutions who want to gain practical experience and improve their employability.
- Corporate R&D personnel: Members of a company’s R&D team who need to understand and master generative AI techniques in order to apply them in product development.
Course Introduction
With the rise of generative AI (AIGC), particularly the widespread application of ChatGPT, learning how to integrate AIGC technology into your applications has become a trend. The course “Q-Pai Generative AI Development Series – Beginner’s Guide” aims to provide Python developers with a fast track to mastering the application of AIGC in software development.
Course Features
- In-Depth Understanding of AIGC: We will explore the fundamental principles of generative AI and its applications in fields such as artistic creation, image generation, dialogue generation, and content creation.
- Mastering PGPT Services: PGPT, as a cloud API platform that aggregates multiple large AI services, offers a lightweight AIGC development library to help developers quickly build applications.
- Special QPython Support: This course leverages the advantage of using QPython to access PGPT services, allowing you to learn and practice directly on your mobile device.
Learning Outcomes
- AIGC Application Development: You will learn how to utilize PGPT’s capabilities to develop intelligent dialogue systems, image generation, and content creation applications.
- Practical Experience: Through real-world cases and projects, you will transform theoretical knowledge into practice, building AIGC solutions applicable in real life.
- Technical Advancement: You will gain the ability to integrate multiple cutting-edge AIGC services, including OpenAI, ClaudeAI, ChatGLM, and Stable Diffusion.
Welcome to Learn
This course combines theory and practice, making it suitable for developers with a foundational knowledge of Python. Through a series of instructional modules, we will guide you from the basic concepts of AIGC technology to more complex application development. Join us on this adventurous journey into the world of generative AI programming and explore the limitless possibilities within this technological domain!
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