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Duration 14 hours
Course Outline
Foundations of AI and Generative AI
- Core principles of AI and its technological influence
- An introduction to the fundamentals of Generative AI and its use cases
Deploying the Azure OpenAI Service
- Initial setup of an Azure OpenAI account
- Reviewing Azure OpenAI quotas, cost structures, and policy guidelines
Exploring Azure OpenAI Studio
- Navigation of the Azure OpenAI Studio interface
- Management and deployment of Large Language Models (LLMs)
Application Integration of AI Models
- Testing models using the Playground feature
- Accessing and deploying models through Postman and Python APIs
- Overview of ChatGPT and Prompt Engineering methodologies
Advanced AI Methodologies
- Refining AI models for specialized functions
- Creating visual content using DALL-E studio
- Deployment and understanding of text embeddings
- Advanced Prompt Engineering strategies for optimal model interaction
Multi-Model AI Combinations
- Synthesizing text, image, and audio models for comprehensive applications
- Audio transcription and text generation utilizing Whisper AI
Security and Optimization of AI Deployments
- Establishing security protocols for AI-driven chatbots
- Employing content filters to safeguard data integrity
Capstone Project: Developing AI-Driven Solutions
- Architecting a web application powered by Azure OpenAI models
- Consolidating varied AI capabilities into a unified system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No previous experience in AI is necessary
Target Audience
- AI developers
- AI enthusiasts
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