Course at a Glance
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Course StatusLive
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Course CodeGAA-C01
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TypeClassroom Training
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Course Duration1 Day
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Hands-on LabsYes
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Available LanguageEnglish
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Recommended Certification
Introduction
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.
Course Outline
- What is Generative AI?
- Brief History of Gen AI
- Gen AI Use Cases
- Prompt Engineering Mindset
- Crafting effective prompts
- Useful prompt frameworks
- Scaling Laws
- Qwen Model Family
- Deploying Models on Alibaba Cloud
- Technological Innovations in GenAI (DeepSeek)
- Introduction to Model Studio
- Introduction to RAG
- Introduction to Agents
Module 1: Getting to Know Generative AI and its Concepts
Module 2: Effectively Interacting with Language Models
Module 3: Generative Models and Their Capabilities at a Glance
Module 4: Augmentation & Operationalization of Language Models