Certification Overview
Professional certification validating comprehensive knowledge of generative AI concepts, Large Language Models, and practical implementation using OCI Generative AI services.
Key Competencies
Generative AI Fundamentals
- Large Language Model architecture
- Model types (GPT, BERT, T5)
- Token economics and context windows
- Model selection for use cases
Prompt Engineering
- Effective prompt design
- Few-shot and zero-shot learning
- Chain-of-thought prompting
- Hallucination mitigation
OCI Generative AI Service
- Pretrained models (Cohere Command, Meta Llama)
- Custom model fine-tuning
- Real-time and batch inference
- Model management and versioning
Advanced Techniques
- Retrieval-Augmented Generation (RAG)
- Vector databases and semantic search
- Embedding generation
- Fine-tuning strategies (LoRA, QLoRA)
Enterprise Applications
- Conversational AI and chatbots
- Content generation
- Document summarization
- Question answering systems
- Code generation
Responsible AI
- Bias detection and mitigation
- Content filtering and safety
- Data privacy and security
- Model explainability
- Governance and compliance
Generative AI is transforming industries:
- Customer Service: AI-powered support agents
- Healthcare: Clinical documentation, research assistance
- Finance: Report generation, risk analysis
- Software: Code generation, automated testing
- Legal: Contract analysis, case research