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Course Outline
Introduction to AI and Generative AI
- Core principles of AI and its technological impact
- Overview of generative AI fundamentals and its use cases
Deploying Azure OpenAI Services
- Establishing an Azure OpenAI account
- Reviewing Azure OpenAI quotas, pricing structures, and policies
Navigating Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Handling the deployment and management of Large Language Models (LLMs)
Integrating AI Models into Applications
- Testing models using the Playground feature
- Accessing and deploying models through Postman and Python APIs
- Familiarizing yourself with ChatGPT and Prompt Engineering techniques
Advanced AI Techniques
- Fine-tuning AI models for specific tasks
- Creating images using the DALL-E studio
- Comprehending and deploying text embeddings
- Refining Prompt Engineering skills for optimal model interaction
Combining AI Models
- Merging text, image, and audio models to build robust solutions
- Transcribing and generating text from audio using Whisper AI
Securing and Optimizing AI Implementations
- Applying security protocols to AI-driven chatbots
- Maintaining data integrity through the use of content filters
Project: Developing AI-Powered Solutions
- Architecting a web application that leverages Azure OpenAI models
- Synthesizing various AI capabilities into a unified system
Requirements
- Basic familiarity with cloud computing platforms
- Proficiency in Python programming
- No previous AI experience 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