Course Overview
A Generative AI Engineer is responsible for understanding generative AI concepts and Alibaba Cloud technologies that can be used to deploy such applications. This role focuses on identifying and describing appropriate generative AI services and solutions, playing a key part in the organization’s exploration of AI capabilities.
Learning Outcomes
- Knowledge of GenAI
Understand the principles and underlying technologies of generative AI, including both text and image models, as well as the core foundational models (FMs) used for generating content.
- Model Training and Optimization
Understand basic training and fine-tuning processes for generative models, and apply advanced techniques such as RAGs and agents to enhance model performance.
- Prompt Engineering Proficiency
Craft effective prompts to optimize the output of GenAI models, ensuring improved accuracy and alignment with user expectations.
- Identification of AI Solutions
Describe and recommend suitable generative AI solutions and services provided by Alibaba Cloud, such as Qwen and Model Studio.
Target Audience
This course targets developers, data scientists, and AI enthusiasts who want to understand and apply generative AI technologies using Alibaba Cloud. It is ideal for those looking to build, deploy, and manage AI-driven applications with a focus on practical tools and cloud-based AI solutions.
Examination
- Certification: Alibaba Cloud Certified Associate: Generative AI Engineer
- Exam Code: GAA-C01
- Available Languages: English
- Exam Duration: 90 Minutes
- Exam Questions: 50 Questions
- Passing Score: 70 (out of 100 points)
- Attention: 14 days are required between the taking of any two professional exams.
