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Course Outline
Overview of Artificial Intelligence and Generative AI
- Core principles of AI and its influence on modern technology
- Introduction to Generative AI mechanisms and use cases
Azure OpenAI Service Deployment
- Configuration of an Azure OpenAI account
- Review of Azure OpenAI quotas, pricing structures, and compliance policies
Operational Use of Azure OpenAI Studio
- Interaction with the Azure OpenAI Studio interface
- Deployment and management of Large Language Models (LLMs)
Integration of AI Models into Applications
- Utilization of the Playground environment for model validation
- Retrieval and deployment of models using Postman and Python APIs
- Foundation of ChatGPT and techniques for Prompt Engineering
Advanced AI Methodologies
- Fine-tuning AI models for specialized operational tasks
- Image generation via DALL-E studio
- Processing and implementation of text embeddings
- Advanced Prompt Engineering strategies for optimized model interaction
AI Model Integration Strategies
- Combination of text, image, and audio models for comprehensive applications
- Audio transcription and text generation using Whisper AI
Security and Optimization of AI Deployments
- Implementation of security protocols for AI-driven chat systems
- Application of content filters to ensure data integrity
Project: Development of AI-Driven Solutions
- Architecture design of a web application leveraging Azure OpenAI models
- Integration of diverse AI capabilities into a unified system
Conclusion and Recommended Actions
Requirements
- Knowledge of cloud computing platforms
- Proficiency in Python programming
- No previous AI experience is necessary
Target Audience
- AI developers
- AI professionals and stakeholders
14 Hours
Testimonials (2)
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt