Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
- Basic understanding of cloud computing platforms.
- Experience with Python programming.
- No prior AI experience is required.
Audience
- AI developers.
- AI enthusiasts.
14 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
