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Course Outline
Foundations of AI and Generative AI
- Essential principles of AI and its technological impact
- Overview of generative AI fundamentals and use cases
Deploying Azure OpenAI Services
- Creating an Azure OpenAI account
- Reviewing Azure OpenAI quotas, cost structures, and usage policies
Utilizing Azure OpenAI Studio
- Exploring the Azure OpenAI Studio user interface
- Managing and deploying Large Language Models (LLMs)
Integrating AI Models into Applications
- Using the Playground feature for model experimentation
- Accessing and deploying models through Postman and Python APIs
- Overview of ChatGPT and prompt engineering strategies
Advanced AI Methodologies
- Customizing AI models for specific tasks via fine-tuning
- Creating visual content with the DALL-E studio
- Implementing and deploying text embeddings
- Refining prompt engineering skills for optimal model interaction
Combining AI Models
- Merging text, image, and audio models to build robust solutions
- Converting audio to text and generating translations using Whisper AI
Securing and Optimizing AI Solutions
- Applying security protocols to AI-driven chatbots
- Maintaining data integrity through the use of content filters
Capstone Project: Developing AI-Driven Solutions
- Architecting a web application powered by Azure OpenAI models
- Synthesizing multiple AI features into a unified system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No previous AI experience is necessary
Intended Participants
- 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