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Course Outline
Foundations of AI and Generative AI
- Core principles of AI and its technological impact
- An overview of Generative AI basics and its practical applications
Deploying Azure OpenAI Services
- Initializing an Azure OpenAI account
- Navigating Azure OpenAI quotas, pricing structures, and policies
Utilizing Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Deploying and managing Large Language Models (LLMs)
Integrating AI Models into Applications
- Testing models using the Playground feature
- Accessing and deploying models through Postman and Python APIs
- An introduction to ChatGPT and Prompt Engineering strategies
Advanced AI Methodologies
- Fine-tuning AI models for specialized objectives
- Creating images using the DALL-E studio
- Understanding and deploying text embeddings
- Refining Prompt Engineering skills for optimal model interaction
Combining AI Models
- Merging text, image, and audio models to build robust applications
- Transcribing and generating text from audio using Whisper AI
Securing and Optimizing AI Solutions
- Applying security protocols to AI-driven chatbots
- Leveraging content filters to ensure data integrity
Project: Building AI-Driven Solutions
- Designing a web application that utilizes Azure OpenAI models
- Integrating diverse AI capabilities into a unified system
Requirements
- A foundational understanding of cloud computing platforms
- Familiarity with Python programming
- Previous AI experience is not a prerequisite
Target Audience
- AI developers
- AI enthusiasts
14 Hours
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
