Generative AI with Azure OpenAI

• An understanding of cloud computing platforms
• Experience with Python programming
• No prior AI experience required

Audience

• AI developers
• AI enthusiasts

Generative AI is revolutionizing the tech industry.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level AI developers and enthusiasts who wish to unlock the potential of generative AI using Azure OpenAI.

By the end of this training, participants will be able to:

• Grasp the essentials of AI, Generative AI, and the OpenAI API.
• Set up and navigate the Azure OpenAI account and studio.
• Deploy and manage Azure OpenAI services effectively.
• Integrate generative AI models into various applications.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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