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Duration 14 hours
Course Outline
Foundations of AI and Generative AI
- Core principles of AI and its technological impact
- Overview of Generative AI basics and real-world applications
Deploying the Azure OpenAI Service
- Initial setup of an Azure OpenAI account
- Review of Azure OpenAI quotas, cost structures, and policies
Utilizing Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Deployment and management of Large Language Models (LLMs)
Embedding AI Models in Applications
- Using the Playground environment for model evaluation
- Model access and deployment through Postman and Python APIs
- Overview of ChatGPT and Prompt Engineering methods
Advanced AI Methodologies
- Customizing AI models for specific tasks
- Image generation utilizing the DALL-E studio
- Concepts and deployment of text embeddings
- Advanced Prompt Engineering for optimal model interaction
Combining AI Models
- Synthesizing text, image, and audio models for comprehensive solutions
- Audio-to-text translation and generation using Whisper AI
Securing and Enhancing AI Systems
- Applying security protocols to AI-driven chatbots
- Maintaining data integrity through content filtering mechanisms
Capstone Project: Building AI-Driven Solutions
- Architecting a web application powered by Azure OpenAI models
- Integrating multiple 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
- Technology enthusiasts interested in AI
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