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Course Outline
Introduction to AI and Generative AI
- Core principles of AI and its influence on modern technology.
- An overview of Generative AI fundamentals and real-world use cases.
Deploying Azure OpenAI Services
- Setting up an Azure OpenAI account.
- Reviewing Azure OpenAI quotas, pricing structures, and usage policies.
Utilizing Azure OpenAI Studio
- Navigating the Azure OpenAI Studio interface.
- Deploying and managing Large Language Models (LLMs).
Integrating AI Models into Applications
- Using the Playground to test models.
- Accessing and deploying models via Postman and Python APIs.
- An introduction to ChatGPT and Prompt Engineering methods.
Advanced AI Techniques
- Refining AI models for specific tasks.
- Creating images using the DALL-E studio.
- Understanding and deploying text embeddings.
- Mastering Prompt Engineering for optimal model interaction.
Combining AI Models
- Synthesizing text, image, and audio models for comprehensive applications.
- Transcribing and generating text from audio using Whisper AI.
Securing and Optimizing AI Implementations
- Establishing security protocols for AI-driven chatbots.
- Applying content filters to ensure data integrity.
Project: Developing AI-Powered Solutions
- Architecting a web application that leverages Azure OpenAI models.
- Integrating varied AI capabilities into a unified system.
Requirements
- Familiarity with cloud computing platforms.
- Proficiency in Python programming.
- No prior experience with 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
