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Duration 14 hours
Course Outline
Introduction to AI and Generative AI
- Core principles of AI and its technological impact
- Overview of Generative AI fundamentals and use cases
Deploying the Azure OpenAI Service
- Establishing an Azure OpenAI account
- Reviewing Azure OpenAI quotas, pricing structures, and policies
Interacting with Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Managing the deployment of Large Language Models (LLMs)
Embedding AI Models in Applications
- Using the Playground for model experimentation
- Accessing and deploying models through Postman and Python APIs
- Basics of ChatGPT and Prompt Engineering methodologies
Advanced AI Methodologies
- Customizing AI models for specific tasks
- Creating images using DALL-E studio
- Concepts and deployment of text embeddings
- Refining Prompt Engineering for optimal model engagement
Combining AI Models
- Synthesizing text, image, and audio models for comprehensive applications
- Converting and generating text from audio using Whisper AI
Securing and Optimizing AI Solutions
- Applying security protocols for AI-driven chatbots
- Utilizing content filters to ensure data integrity
Project: Developing AI-Driven Solutions
- Architecting a web application that leverages Azure OpenAI models
- Integrating various AI features into a unified system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No prior 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
