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Course Outline
Overview of AI and Generative AI
- Core principles of AI and its influence on technology
- Examining the fundamentals of Generative AI and its use cases
Implementing Azure OpenAI Services
- Configuring an Azure OpenAI account
- Gaining insight into Azure OpenAI quotas, pricing structures, and policies
Interacting with Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Deploying and administering Large Language Models (LLMs)
Incorporating AI Models into Applications
- Leveraging the Playground for testing models
- Retrieving and deploying models through Postman and Python APIs
- Getting acquainted with ChatGPT and Prompt Engineering methods
Advanced AI Methodologies
- Refining AI models for specific tasks
- Creating images using the DALL-E studio
- Comprehending and deploying text embeddings
- Perfecting Prompt Engineering for optimal model engagement
Combining AI Models
- Integrating text, image, and audio models to create robust applications
- Transcribing and producing text from audio using Whisper AI
Enhancing Security and Optimizing AI Solutions
- Applying security protocols to AI-driven chatbots
- Utilizing content filters to ensure data integrity
Project: Creating AI-Driven Solutions
- Architecting a web application that utilizes Azure OpenAI models
- Merging varied AI features into a unified system
Requirements
- 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
