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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 applications
Deploying Azure OpenAI Services
- Establishing an Azure OpenAI account
- Insight into Azure OpenAI quotas, pricing structures, and policy guidelines
Utilizing Azure OpenAI Studio
- Mastering the Azure OpenAI Studio interface
- Deployment and management of Large Language Models (LLMs)
Embedding AI Models into Applications
- Leveraging the Playground for model validation
- Retrieving and deploying models through Postman and Python APIs
- An introduction to ChatGPT and Prompt Engineering methodologies
Advanced AI Methodologies
- Refining AI models for specialized functions
- Creating images using the DALL-E studio
- Comprehension and deployment of text embeddings
- Perfecting Prompt Engineering for optimal model interaction
Combining AI Models
- Integrating text, image, and audio models for robust solutions
- Transcribing and generating text from audio inputs using Whisper AI
Securing and Optimizing AI Deployments
- Applying security protocols for AI-driven chatbots
- Employing content filters to ensure data integrity
Project: Developing AI-Driven Solutions
- Architecting a web application that utilizes Azure OpenAI models
- Unifying diverse AI capabilities into a coherent system
Requirements
- A foundational understanding of 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
