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Course Outline
Introduction to AI and Generative AI
- Fundamentals of AI and its impact on technology
- Exploring the basics of Generative AI and its applications
Azure OpenAI Service Deployment
- Setting up an Azure OpenAI account
- Understanding Azure OpenAI quotas, pricing, and policies
Working with Azure OpenAI Studio
- Navigating the Azure OpenAI Studio interface
- Deploying and managing Large Language Models (LLMs)
Integrating AI Models into Applications
- Utilizing the Playground for model testing
- Accessing and deploying models via Postman and Python APIs
- Introduction to ChatGPT and Prompt Engineering techniques
Advanced AI Techniques
- Fine-tuning AI models for specialized tasks
- Generating images with DALL-E studio
- Understanding and deploying text embeddings
- Mastering Prompt Engineering for effective model interaction
AI Model Combinations
- Combining text, image, and audio models for robust applications
- Translating and generating text from audio with Whisper AI
Securing and Optimizing AI Implementations
- Implementing security measures for AI-powered chatbots
- Using content filters to maintain data integrity
Project: AI-Powered Solutions Development
- Designing a web application utilizing Azure OpenAI models
- Integrating diverse AI functionalities into a cohesive system
Summary and Next Steps
Requirements
- An understanding of cloud computing platforms
- Experience with Python programming
- No prior AI experience required
Audience
- AI developers
- AI enthusiasts
14 Hours
Testimonials (1)
Subject perfectly mastered by the trainer, answering all of our questions.
Cedric - TEVA Sante
Course - Advanced AI Concepts with Perplexity
Machine Translated
