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.
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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.
Skills Covered
- Knowledge of GenAI:Â 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:Â Comprehension of basic training and finetuning processes for generative models, coupled with knowledge of advanced techniques such as RAGs and agents to enhance model performance.
- Prompt Engineering Proficiency:Â Craft effective prompts to optimize the output of GenAI models, ensuring improved accuracy and alignment with user expectations.
- Identification of AI Solutions:Â Capability to describe and recommend suitable generative AI solutions and services provided by Alibaba Cloud, such as Qwen and Model Studio.
Prerequisites
None
Target Audience
Anyone who has interest in learning about generative AI
Module 1: Generative AI Basics
- Introduction to Generative AI Concepts
- What is GenAI
- Development history of GenAI
- GenAI vs traditional AI
- Key concepts in GenAI
- Use cases and industry applications
- Logistics, education, healthcare, etc.
- Core foundational models
- GANs, VAEs, and Transformers
Module 2: Foundational Technologies Behind AI
- Foundational Technologies Behind Today’s AI Capabilities
- What is machine learning
- Understanding machine learning
- Training techniques (supervised, unsupervised, and reinforcement learning)
- Types of ML algorithms and their applications
- What is deep learning
- Biomimicry in deep learning
- Understanding RNNs and CNNs
- What is NLP
- How machines can understand language
- The NLP development pipeline
- NLP at work
- Tokenization, embeddings, and language models
Module 3: Alibaba Cloud GenAI Offerings
- Introduction to Qwen
- What is Qwen
- Model capabilities and performance
- Qwen model offerings
- Deploying Models on Alibaba Cloud
- Introduction to GPU-accelerated ECS instances
- Introduction to PAI
- Introduction to ComputeNest
- Model Studio Fundamentals
- What is Model Studio
- Concepts & components
- System prompts
- Multi-model comparison
- Agent and RAG creation
Module 4: Generative Model Training & Optimization
- Understanding Language Models
- Evolution of language models
- Scaling laws vs performance
- Pre-training Generative Models
- Data collection & preparation
- Model architectures
- Tuning techniques (instruction and alignment tuning)
- Generative Model Optimization
- Understanding augmentation techniques
Module 5: Interacting Effectively with Generative Models
- Prompt Engineering Fundamentals
- Understanding how generative models “think”
- What is prompt engineering
- The “genius in a room” analogy
- Crafting prompts:
- The five elements of a good prompt
- “Training” LLMs through effective prompting
- Basic prompting techniques
- Instructions
- Examples (few-shot)
- Role-play
- Chain-of-thought
Dates & Locations
August 10, 2026 - August 10, 2026
August 10, 2026 - August 10, 2026
October 12, 2026 - October 12, 2026
October 12, 2026 - October 12, 2026
December 7, 2026 - December 7, 2026
December 7, 2026 - December 7, 2026
Exam & Certification
Alibaba Cloud Certified Associate: Generative AI Engineer
Training & Certification Guide
Frequently Asked Questions
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