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Course Outline
Foundations of AI and Generative AI
- Core principles of AI and its influence on the tech sector
- An introduction to the basics of Generative AI and its use cases
Deploying the Azure OpenAI Service
- Initialization of an Azure OpenAI account
- Overview of Azure OpenAI quotas, cost structures, and regulatory policies
Operating within Azure OpenAI Studio
- Interface navigation and exploration within Azure OpenAI Studio
- Management and deployment of Large Language Models (LLMs)
Embedding AI Models into Applications
- Utilizing the Playground environment for model validation
- Accessing and deploying models through Postman and Python APIs
- Overview of ChatGPT and strategies for Prompt Engineering
Advanced AI Methodologies
- Refining AI models for specialized operational tasks
- Image generation capabilities using the DALL-E studio
- Concepts of text embeddings and their deployment
- Advanced techniques in Prompt Engineering for optimized model interaction
Combining AI Model Capabilities
- Synthesizing text, image, and audio models for comprehensive applications
- Audio-to-text translation and generation using Whisper AI
Enhancing Security and Optimization in AI
- Implementing robust security protocols for AI-driven chatbots
- Applying content filters to safeguard data integrity
Project: Creating AI-Driven Solutions
- Architecting a web application powered by Azure OpenAI models
- Integrating multiple AI features into a unified, coherent system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No previous experience in 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