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.
Knowledge of GenAI:
Understanding 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:
Comprehension of basic training and fine-tuning processes for generative models, coupled with knowledge of 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:
Capability to describe and recommend suitable generative AI solutions and services provided by Alibaba Cloud, such as Qwen and Model Studio.
Associate (300)
N/A
Module 1: Generative AI Basics
Introduction to Generative AI Concepts
Module 2: Foundational Technologies Behind AI
Foundational Technologies Behind Today’s AI Capabilities
Module 3: Alibaba Cloud GenAI Offerings
Introduction to Qwen, Deploying Models on Alibaba Cloud, Model Studio Fundamentals
Module 4: Generative Model Training & Optimization
Understanding Language Models, Pre-training Generative Models, Generative Model Optimization
Module 5: Interacting Effectively with Generative Models
Prompt Engineering Fundamentals