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Course Outline
Introduction to AI and Generative AI
- The basics of AI and its influence on technology
- An overview of Generative AI principles and use cases
Deploying Azure OpenAI Services
- Creating an Azure OpenAI account
- Reviewing Azure OpenAI quotas, costs, and policies
Using Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Managing and deploying Large Language Models (LLMs)
Integrating AI Models into Applications
- Testing models using the Playground feature
- Accessing and launching models through Postman and Python APIs
- An introduction to ChatGPT and Prompt Engineering methods
Advanced AI Techniques
- Optimizing AI models for specific tasks
- Creating images using the DALL-E studio
- Comprehending and implementing text embeddings
- Refining Prompt Engineering skills for better model interaction
Combining AI Models
- Merging 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 to AI-driven chatbots
- Leveraging content filters to ensure data integrity
Project: Developing AI-Powered Solutions
- Constructing a web application that utilizes Azure OpenAI models
- Integrating varied AI features 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
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