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 Duration 14 hours

Course Outline

Introduction to AI and Generative AI

  • Core principles of AI and its influence on the tech landscape
  • Overview of Generative AI basics and use cases

Deploying the Azure OpenAI Service

  • Configuring your Azure OpenAI account
  • Reviewing Azure OpenAI quotas, pricing structures, and policies

Utilizing Azure OpenAI Studio

  • Exploring the Azure OpenAI Studio interface
  • Managing and deploying Large Language Models (LLMs)

Embedding AI Models into Applications

  • Using the Playground for model experimentation
  • Accessing and launching models through Postman and Python APIs
  • Overview of ChatGPT and Prompt Engineering strategies

Advanced AI Techniques

  • Optimizing AI models for specific tasks
  • Image generation using the DALL-E studio
  • Managing and deploying text embeddings
  • Refining Prompt Engineering for optimal model interaction

Combining AI Models

  • Integrating text, image, and audio models for comprehensive applications
  • Audio-to-text translation and generation with Whisper AI

Security and Optimization for AI Implementations

  • Establishing security protocols for AI-driven chatbots
  • Applying content filters to ensure data integrity

Project: Developing AI-Driven Solutions

  • Creating a web application powered by Azure OpenAI models
  • Integrating various AI features into a unified system

Requirements

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

Target Audience

  • AI developers
  • AI enthusiasts

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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