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Duration 14 hours
Course Outline
Introduction to AI and Generative AI
- Core principles of AI and its transformative impact on the tech sector
- An overview of Generative AI fundamentals and real-world use cases
Azure OpenAI Service Deployment
- Configuring an Azure OpenAI account
- An overview of Azure OpenAI quotas, pricing structures, and policy guidelines
Working with Azure OpenAI Studio
- Exploring the features and layout of the Azure OpenAI Studio interface
- Deploying and managing Large Language Models (LLMs)
Integrating AI Models into Applications
- Utilizing the Playground environment for initial model testing
- Accessing and deploying models using Postman and Python APIs
- An introduction to ChatGPT and foundational Prompt Engineering strategies
Advanced AI Techniques
- Optimizing AI models for specialized functions through fine-tuning
- Creating images using the DALL-E studio
- Implementing text embeddings and understanding their utility
- Refining Prompt Engineering skills for optimized model interactions
AI Model Combinations
- Synthesizing text, image, and audio models to build robust solutions
- Converting and generating text from audio inputs using Whisper AI
Securing and Optimizing AI Implementations
- Establishing security protocols for AI-driven chatbots
- Applying content filters to ensure data integrity and safety
Project: AI-Powered Solutions Development
- Architecting a web application that leverages Azure OpenAI models
- Integrating multiple AI capabilities into a unified system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- Existing AI experience is not mandatory
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