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Course Outline
Foundations of AI and Generative AI
- Core principles of AI and its influence on technology
- An overview of Generative AI basics and real-world use cases
Deploying the Azure OpenAI Service
- Creating and configuring an Azure OpenAI account
- A review of Azure OpenAI quotas, pricing models, and governance policies
Utilizing Azure OpenAI Studio
- Navigation of the Azure OpenAI Studio user interface
- Deployment and management strategies for Large Language Models (LLMs)
Application Integration of AI Models
- Using the Playground feature for initial model testing
- Connecting to and deploying models through Postman and Python APIs
- An introduction to ChatGPT and foundational Prompt Engineering methods
Advanced AI Methodologies
- Adapting AI models for specific specialized tasks
- Image generation workflows using the DALL-E studio
- The process of creating and deploying text embeddings
- Refining Prompt Engineering skills for optimal model interaction
Combining AI Model Types
- Synthesizing text, image, and audio models for comprehensive solutions
- Audio-to-text conversion and generation utilizing Whisper AI
Security and Optimization of AI Systems
- Establishing robust security protocols for AI-driven chatbots
- Applying content filters to safeguard data integrity
Capstone Project: Building AI-Driven Solutions
- Architecting a web application powered by Azure OpenAI models
- Merging various AI capabilities into a unified, functional system
Requirements
- Familiarity with cloud computing platforms
- Practical experience in Python programming
- No previous background in AI is necessary
Target Audience
- AI developers
- Individuals with an interest in AI
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