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Course Outline

Introduction to AI and Generative AI

  • Core principles of AI and its technological impact
  • Overview of generative AI fundamentals and its use cases

Deploying Azure OpenAI Services

  • Establishing an Azure OpenAI account
  • Reviewing Azure OpenAI quotas, pricing structures, and policies

Navigating Azure OpenAI Studio

  • Exploring the Azure OpenAI Studio interface
  • Handling the deployment and management of Large Language Models (LLMs)

Integrating AI Models into Applications

  • Testing models using the Playground feature
  • Accessing and deploying models through Postman and Python APIs
  • Familiarizing yourself with ChatGPT and Prompt Engineering techniques

Advanced AI Techniques

  • Fine-tuning AI models for specific tasks
  • Creating images using the DALL-E studio
  • Comprehending and deploying text embeddings
  • Refining Prompt Engineering skills for optimal model interaction

Combining AI Models

  • Merging text, image, and audio models to build robust solutions
  • Transcribing and generating text from audio using Whisper AI

Securing and Optimizing AI Implementations

  • Applying security protocols to AI-driven chatbots
  • Maintaining data integrity through the use of content filters

Project: Developing AI-Powered Solutions

  • Architecting a web application that leverages Azure OpenAI models
  • Synthesizing various AI capabilities into a unified system

Requirements

  • Basic familiarity with cloud computing platforms
  • Proficiency in Python programming
  • No previous AI experience is necessary

Target Audience

  • AI developers
  • AI enthusiasts
 14 Hours

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