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Course Outline
Foundations of AI and Generative AI
- Core principles of AI and its technological impact
- Overview of Generative AI basics and use cases
Deploying the Azure OpenAI Service
- Establishing an Azure OpenAI account
- Reviewing quotas, pricing structures, and operational policies
Utilizing Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Managing and deploying Large Language Models (LLMs)
Embedding AI Models in Applications
- Testing models using the Playground
- Deploying and accessing models via Python and Postman APIs
- Basics of ChatGPT and Prompt Engineering strategies
Advanced AI Methodologies
- Refining AI models for specific tasks
- Creating images using the DALL-E studio
- Concepts and deployment of text embeddings
- Advanced Prompt Engineering for optimized model interaction
Combining AI Models
- Synthesizing text, image, and audio models for comprehensive solutions
- Audio-to-text generation and translation using Whisper AI
Security and Optimization for AI
- Applying security protocols to AI-driven chatbots
- Maintaining data integrity through content filtering
Project: Building AI-Driven Solutions
- Architecting a web application leveraging Azure OpenAI models
- Integrating multiple AI capabilities into a unified system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No previous AI background is necessary
Target Audience
- AI developers
- AI enthusiasts
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
