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Duration 14 hours
Course Outline
Introduction to AI and Generative AI
- The fundamentals of AI and its influence on technology
- An overview of Generative AI basics and their applications
Deploying the Azure OpenAI Service
- Setting up an Azure OpenAI account
- Reviewing Azure OpenAI quotas, pricing structures, and policies
Utilizing Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Managing and deploying Large Language Models (LLMs)
Integrating AI Models into Applications
- Testing models using the Playground feature
- Accessing and deploying models through Postman and Python APIs
- An introduction to ChatGPT and Prompt Engineering techniques
Advanced AI Techniques
- Optimizing AI models for specific tasks
- Creating images using DALL-E studio
- Implementing and deploying text embeddings
- Enhancing model interaction through advanced Prompt Engineering
Combining AI Models
- Integrating text, image, and audio models for comprehensive applications
- Translating audio to text and generating content using Whisper AI
Securing and Optimizing AI Implementations
- Applying security protocols for AI-driven chatbots
- Employing content filters to ensure data integrity
Project: Developing AI-Powered Solutions
- Building 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 prior experience in AI is necessary
Target Audience
- AI developers
- AI enthusiasts
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
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