Get in Touch
 Duration 14 hours

Course Outline

Foundations of AI and Generative AI

  • Core principles of AI and its technological influence
  • An introduction to the fundamentals of Generative AI and its use cases

Deploying the Azure OpenAI Service

  • Initial setup of an Azure OpenAI account
  • Reviewing Azure OpenAI quotas, cost structures, and policy guidelines

Exploring Azure OpenAI Studio

  • Navigation of the Azure OpenAI Studio interface
  • Management and deployment of Large Language Models (LLMs)

Application Integration of AI Models

  • Testing models using the Playground feature
  • Accessing and deploying models through Postman and Python APIs
  • Overview of ChatGPT and Prompt Engineering methodologies

Advanced AI Methodologies

  • Refining AI models for specialized functions
  • Creating visual content using DALL-E studio
  • Deployment and understanding of text embeddings
  • Advanced Prompt Engineering strategies for optimal model interaction

Multi-Model AI Combinations

  • Synthesizing text, image, and audio models for comprehensive applications
  • Audio transcription and text generation utilizing Whisper AI

Security and Optimization of AI Deployments

  • Establishing security protocols for AI-driven chatbots
  • Employing content filters to safeguard data integrity

Capstone Project: Developing AI-Driven Solutions

  • Architecting a web application powered by Azure OpenAI models
  • Consolidating varied AI capabilities into a unified system

Requirements

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

Target Audience

  • AI developers
  • AI enthusiasts

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories