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Duration 14 hours
Course Outline
Foundations of AI and Generative AI
- Core concepts of AI and its technological impact
- Overview of Generative AI basics and practical uses
Implementing Azure OpenAI Services
- Provisioning an Azure OpenAI account
- Reviewing Azure OpenAI quotas, cost structures, and policies
Utilizing Azure OpenAI Studio
- Exploring the Azure OpenAI Studio interface
- Managing and deploying Large Language Models (LLMs)
Embedding AI Models in Applications
- Using the Playground to test models
- Accessing and deploying models through Postman and Python APIs
- Overview of ChatGPT and Prompt Engineering strategies
Advanced AI Methodologies
- Fine-tuning AI models for specialized objectives
- Creating images using DALL-E studio
- Understanding and deploying text embeddings
- Advanced Prompt Engineering for optimal model interaction
Combining AI Models
- Merging text, image, and audio models for comprehensive applications
- Audio-to-text translation and generation using Whisper AI
Security and Optimization of AI Systems
- Applying security protocols to AI-driven chatbots
- Employing content filters to ensure data integrity
Capstone Project: Developing AI-Driven Solutions
- Architecting a web application powered by Azure OpenAI models
- Unifying diverse AI features into a seamless system
Requirements
- Familiarity with cloud computing platforms
- Proficiency in Python programming
- No previous AI experience 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
