Get in Touch

Course Outline

AI and Generative AI Fundamentals

  • Core principles of AI and its transformative effect on the tech sector
  • Examining the basics of Generative AI and its real-world uses

Deploying the Azure OpenAI Service

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

Utilizing Azure OpenAI Studio

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

Embedding AI Models in Applications

  • Testing models using the Playground environment
  • Retrieving and deploying models through Postman and Python APIs
  • Overview of ChatGPT and Prompt Engineering strategies

Advanced AI Methodologies

  • Optimizing AI models for specific tasks through fine-tuning
  • Image generation capabilities in the DALL-E studio
  • Understanding the logic behind text embeddings and their deployment
  • Perfecting Prompt Engineering for optimal model interaction

Combining AI Model Capabilities

  • Integrating text, image, and audio models to build robust solutions
  • Audio-to-text translation and generation using Whisper AI

Enhancing AI Security and Performance

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

Capstone: Developing AI-Driven Solutions

  • Architecting a web application powered by Azure OpenAI models
  • Uniting varied AI features into a unified, cohesive system

Requirements

  • Foundational knowledge of cloud computing platforms
  • Proficiency in Python programming
  • No previous experience in AI is necessary

Target Audience

  • AI developers
  • AI enthusiasts
 14 Hours

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories