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
Testimonials (3)
Excellect knowledge level of the trainer
Pawel Dykowski - LKQ Polska Sp. z o. o.
Course - Microsoft 365 Copilot Chat for Word, Excel, PowerPoint, and Outlook
I really appreciated the examples, they were relevant to almost any industry. Kevin's calm demeanour and approachable manner really helped. His broad knowledge and suggestions about how to generate prompts was deeply appreciated.
Colin Calnan - Canarie
Course - Microsoft 365 Copilot
Trainers can answer all questions and accept any queries