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Course Outline
Introduction to AI and Generative AI
- The basics of AI and its transformative effect on technology
- An examination of Generative AI fundamentals and use cases
Deploying Azure OpenAI Services
- Creating an Azure OpenAI account
- Reviewing Azure OpenAI quotas, pricing structures, and policies
Utilizing Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Deploying and managing Large Language Models (LLMs)
Integrating AI Models into Applications
- Using the Playground to test models
- Interacting with and deploying models through Postman and Python APIs
- An overview of ChatGPT and Prompt Engineering methods
Advanced AI Techniques
- Refining AI models for specific, specialized tasks
- Creating images using DALL-E studio
- Comprehending and deploying text embeddings
- Perfecting Prompt Engineering for optimal model engagement
Combining AI Models
- Merging text, image, and audio models to build robust applications
- Translating and generating text from audio using Whisper AI
Securing and Optimizing AI Solutions
- Applying security protocols for AI-driven chatbots
- Leveraging content filters to ensure data integrity
Project: Developing AI-Driven Solutions
- Architecting a web application that utilizes Azure OpenAI models
- Synthesizing varied AI capabilities into a unified system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No previous experience in AI is necessary
Intended 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
