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Course Outline
Introduction to AI and Generative AI
- The basics of AI and its influence on technology
- Exploring the fundamentals of Generative AI and its uses
Deploying Azure OpenAI Services
- Establishing an Azure OpenAI account
- Understanding Azure OpenAI quotas, pricing models, and policies
Using Azure OpenAI Studio
- Navigating the Azure OpenAI Studio interface
- Deploying and managing Large Language Models (LLMs)
Integrating AI Models into Applications
- Utilising the Playground for testing models
- Accessing and deploying models via Postman and Python APIs
- Overview of ChatGPT and Prompt Engineering methods
Advanced AI Techniques
- Customising AI models for specific tasks
- Creating images using DALL-E studio
- Understanding and deploying text embeddings
- Refining Prompt Engineering for optimal model interaction
Combining AI Models
- Merging text, image, and audio models for robust applications
- Transcribing and generating text from audio using Whisper AI
Securing and Optimising AI Implementations
- Implementing security protocols for AI-driven chatbots
- Applying content filters to ensure data integrity
Project: Developing AI-Powered Solutions
- Designing a web application that leverages Azure OpenAI models
- Incorporating varied AI capabilities into a unified system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No previous AI experience necessary
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