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Duration 14 hours
Course Outline
Foundations of AI and Generative AI
- The core principles of AI and its influence on technology
- An introduction to Generative AI concepts and real-world uses
Deploying Azure OpenAI Services
- Establishing an Azure OpenAI account
- Reviewing quotas, pricing models, and service policies
Utilizing Azure OpenAI Studio
- Exploring the features of the Azure OpenAI Studio interface
- Deploying and managing Large Language Models (LLMs)
Embedding AI Models in Applications
- Using the Playground feature for model experimentation
- Accessing and deploying models through Postman and Python APIs
- An overview of ChatGPT and Prompt Engineering methodologies
Advanced AI Methodologies
- Adjusting AI models for specific, specialized tasks
- Creating images using the DALL-E studio
- Working with and deploying text embeddings
- Developing advanced Prompt Engineering skills for optimal model interaction
Combining AI Models
- Synthesizing text, image, and audio models to build robust applications
- Processing audio for translation and text generation using Whisper AI
Securing and Enhancing AI Systems
- Applying security protocols to AI-driven chatbots
- Employing content filters to ensure data consistency and integrity
Project: Building AI-Driven Solutions
- Designing a web application that leverages Azure OpenAI models
- Integrating multiple 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
