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Duration 14 hours
Course Outline
Basics of AI and Generative AI
- Core principles of AI and its influence on the technology sector
- An overview of Generative AI fundamentals and practical use cases
Deploying Azure OpenAI Services
- Initializing an Azure OpenAI account
- Clarifying Azure OpenAI limits, pricing structures, and policy guidelines
Utilizing Azure OpenAI Studio
- Exploring the features within the Azure OpenAI Studio interface
- Deploying and administering Large Language Models (LLMs)
Embedding AI Models in Applications
- Leveraging the Playground for experimental model testing
- Retrieving and deploying models using Postman and Python APIs
- Overview of ChatGPT and strategies for Prompt Engineering
Advanced AI Strategies
- Adapting AI models for specific, specialized tasks
- Creating visual content using the DALL-E studio
- Concepts and deployment of text embeddings
- Advanced Prompt Engineering techniques for optimal model interaction
Multi-Modal AI Integration
- Merging text, image, and audio models to build robust solutions
- Audio transcription and text generation using Whisper AI
Enhancing Security and Optimization
- Applying security protocols to AI-driven chatbots
- Employing content filters to ensure data consistency and safety
Capstone Project: Developing AI-Driven Solutions
- Architecting a web application that utilizes Azure OpenAI models
- Synthesizing varied AI capabilities into a unified system
Requirements
- Familiarity with cloud computing environments
- Proficiency in Python programming
- No previous AI experience is necessary
Intended Participants
- Professionals in AI development
- Enthusiasts interested in AI technologies
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