Description
The IBM Certified watsonx Generative AI Engineer - Associate certification is designed for professionals skilled in selecting, customizing, and prompting large language models. This certification enables individuals to design and develop generative AI solutions using the watsonx.ai studio. It emphasizes the ability to connect generative AI solutions to enterprise requirements and understand when various generative AI techniques and models are applicable to specific business problems.
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Key concepts covered in this certification include generative AI architectures and use cases, capabilities and limitations of large language models, prompt engineering, and prompt tuning. Additionally, it covers parameter-efficient fine-tuning using InstructLab, retrieval-augmented generation, and the development and deployment of generative AI solutions.
The certification is at the associate level, testing foundational skills in either a product or solution area. It presumes that candidates have six months to a year of hands-on experience with the product or solution. The certification process involves understanding the five capabilities of GenAI/LLMs, articulating components in Gen AI Patterns, and understanding the limitations of GenAI/LLMs.
Candidates are expected to identify Gen AI application opportunities, choose appropriate models for use cases, and articulate optimal model architectures. They should also be able to apply various tools and techniques like AI agents, RAG, and LangChain, and understand security risks associated with LLMs, prompt engineering, and data.
The certification also covers differentiating between zero-shot and few-shot prompting, designing prompts based on use cases, generating prompt templates, and determining the best model parameters for each GenAI prompt. It includes describing the benefits of using prompt variables, hyperparameter tuning, and model risks. Candidates should understand the difference between hard and soft prompts, reconstruct prompts to reduce costs, and plan for data elements for application usage.
- CategoryCorporate Training & E-Learning
- Platformswatsonx.ai
IBM Certified watsonx Generative AI Engineer's Core Features
Selection of large language models
Customization of AI models
Prompt engineering
Prompt tuning
Parameter-efficient fine-tuning
Retrieval-augmented generation
Development of AI solutions
Deployment of AI solutions
Integration with enterprise requirements
Understanding model limitations
Use case identification
Model architecture articulation
Security risk understanding
Prompt template generation
Hyperparameter tuning
How to use IBM Certified watsonx Generative AI Engineer?
Configure: Customize AI models using watsonx.ai studio
Use: Develop generative AI solutions
Optimize: Fine-tune models with InstructLab
Deploy: Implement AI solutions in enterprise environments
IBM Certified watsonx Generative AI Engineer's Use Cases
- Model Selection
- Prompt Engineering
- Enterprise Integration
- AI Solution Deployment
- Security Risk Management
