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Course Outline
Introduction to AI and Generative AI
- The fundamentals of AI and its technological impact
- An overview of Generative AI basics and its real-world applications
Deploying the Azure OpenAI Service
- Setting up your Azure OpenAI account
- Understanding quotas, pricing structures, and policies for Azure OpenAI
Utilising Azure OpenAI Studio
- Navigating the Azure OpenAI Studio interface
- Deploying and managing Large Language Models (LLMs)
Integrating AI Models into Applications
- Using the Playground to test models
- Accessing and deploying models through Postman and Python APIs
- An introduction to ChatGPT and Prompt Engineering techniques
Advanced AI Techniques
- Fine-tuning AI models for specific tasks
- Generating images using the DALL-E studio
- Understanding and deploying text embeddings
- Mastering Prompt Engineering for effective model interaction
Combining AI Models
- Integrating text, image, and audio models to build robust applications
- Translating and generating text from audio using Whisper AI
Securing and Optimising AI Implementations
- Implementing security measures for AI-driven chatbots
- Employing content filters to safeguard data integrity
Project: Developing AI-Powered Solutions
- Designing a web application that leverages Azure OpenAI models
- Integrating diverse AI functionalities into a cohesive system
Requirements
- A foundational knowledge 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
