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Duration 14 hours (2 days)
Course Outline
Foundations of AI and Generative AI
- Core principles of AI and its influence on the tech landscape
- An overview of Generative AI basics and its use cases
Implementing the Azure OpenAI Service
- Creating and configuring an Azure OpenAI account
- Navigating Azure OpenAI quotas, cost structures, and regulatory policies
Utilizing Azure OpenAI Studio
- Exploring the features of the Azure OpenAI Studio interface
- Handling the deployment and management of Large Language Models (LLMs)
Incorporating AI Models into Software
- Testing models using the Playground environment
- Interacting with and deploying models via Postman and Python APIs
- An introduction to ChatGPT and Prompt Engineering methodologies
Advanced AI Methodologies
- Optimizing AI models for specific, specialized tasks
- Creating images using the DALL-E studio
- Comprehending and deploying text embeddings
- Refining Prompt Engineering skills for optimal model engagement
Synthesizing AI Models
- Merging text, image, and audio models to build robust solutions
- Performing audio-to-text translation and generation using Whisper AI
Enhancing Security and Performance
- Applying security protocols to AI-driven chatbots
- Employing content filters to ensure data consistency and integrity
Capstone Project: Building AI-Driven Solutions
- Architecting a web application powered by Azure OpenAI models
- Blending various AI capabilities into a unified system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No prior 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