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Duration 14 hours
Course Outline
Foundations of AI and Generative AI
- Core principles of AI and its technological impact
- Introduction to the basics of Generative AI and its real-world uses
Implementing the Azure OpenAI Service
- Establishing an Azure OpenAI account
- Comprehending Azure OpenAI quotas, cost structures, and regulatory policies
Utilizing Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Deploying and administering Large Language Models (LLMs)
Embedding AI Models in Applications
- Employing the Playground for model evaluation and testing
- Accessing and deploying models through Postman and Python APIs
- Overview of ChatGPT and foundational Prompt Engineering methods
Sophisticated AI Methodologies
- Optimizing AI models for specific functional requirements
- Creating images using the DALL-E studio
- Understanding the mechanism and deployment of text embeddings
- Advanced Prompt Engineering for optimal model interaction
Combining AI Model Capabilities
- Integrating text, image, and audio models to build robust solutions
- Converting and generating text from audio inputs using Whisper AI
Enhancing Security and Optimization in AI
- Applying security protocols to AI-driven chatbots
- Utilizing content filters to ensure data integrity
Capstone Project: Developing AI-Driven Solutions
- Architecting a web application that leverages Azure OpenAI models
- Synthesizing various AI features into a unified system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No previous experience in AI is necessary
Target Audience
- AI Developers
- AI Enthusiasts
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
