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Course Outline
Introduction to AI and Generative AI
- Foundational principles of AI and its technological influence
- An overview of Generative AI basics and use cases
Deploying Azure OpenAI Services
- Configuration of an Azure OpenAI account
- Insight into Azure OpenAI quotas, pricing structures, and policies
Navigating Azure OpenAI Studio
- Interacting with the Azure OpenAI Studio interface
- Management and deployment 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
- Overview of ChatGPT and Prompt Engineering methodologies
Advanced AI Techniques
- Fine-tuning AI models for specific tasks
- Image creation using the DALL-E studio
- Concepts and deployment of text embeddings
- Advanced Prompt Engineering for optimized model interactions
Combining AI Models
- Synthesizing text, image, and audio models for comprehensive applications
- Audio-to-text translation and generation using Whisper AI
Securing and Optimizing AI Deployments
- Applying security protocols to AI-driven chatbots
- Leveraging content filters to ensure data consistency
Project: Developing AI-Driven Solutions
- Architecting a web application powered by Azure OpenAI models
- Unifying diverse AI capabilities into a unified system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No prior 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
