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Duration 14 hours
Course Outline
Foundations of AI and Generative AI
- Core principles of AI and its influence on technology
- Overview of Generative AI basics and its real-world applications
Deploying Azure OpenAI Services
- Initializing an Azure OpenAI account
- Reviewing Azure OpenAI quotas, pricing models, and policies
Utilizing Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Managing and deploying Large Language Models (LLMs)
Incorporating AI Models into Applications
- Using the Playground for model experimentation
- Retrieving and deploying models through Postman and Python APIs
- Overview of ChatGPT and Prompt Engineering methods
Advanced AI Methodologies
- Adapting AI models for specific tasks
- Creating visuals with the DALL-E studio
- Grasping and deploying text embeddings
- Perfecting Prompt Engineering for optimal model interaction
Combining AI Models
- Merging text, image, and audio models for comprehensive solutions
- Converting audio to text and generating text using Whisper AI
Securing and Enhancing AI Deployments
- Applying security protocols to AI-driven chatbots
- Employing content filters to ensure data consistency
Project: Developing AI-Driven Solutions
- Architecting a web application that leverages Azure OpenAI models
- Unifying various AI features into a seamless system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No previous AI experience is necessary
Target Audience
- AI developers
- 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