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Course Outline
Introduction to AI and Generative AI
- Foundations of AI and its technological impact
- Overview of Generative AI fundamentals and use cases
Deploying the Azure OpenAI Service
- Provisioning an Azure OpenAI account
- Insights into Azure OpenAI quotas, pricing structures, and policies
Utilizing Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Deployment and management of Large Language Models (LLMs)
Integrating AI Models into Applications
- Using the Playground to test models
- Accessing and deploying models through Postman and Python APIs
- Introduction to ChatGPT and Prompt Engineering methods
Advanced AI Techniques
- Fine-tuning AI models for specific tasks
- Creating images using the DALL-E studio
- Understanding and implementing text embeddings
- Enhancing model interaction through advanced Prompt Engineering
Combining AI Models
- Integrating text, image, and audio models for comprehensive applications
- Transcribing and generating text from audio using Whisper AI
Securing and Optimizing AI Solutions
- Applying security protocols to AI-driven chatbots
- Ensuring data integrity through content filtering
Project: Developing AI-Driven Solutions
- Building a web application powered by Azure OpenAI models
- Unifying diverse AI capabilities into a seamless system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No previous AI background 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
