Get in Touch

Course Outline

Foundations of AI and Generative AI

  • Core principles of AI and its transformative effect on the tech sector
  • Overview of Generative AI mechanics and real-world use cases

Deploying Azure OpenAI Services

  • Configuration and setup of a dedicated Azure OpenAI account
  • Analysis of Azure OpenAI usage quotas, pricing structures, and governance policies

Utilizing Azure OpenAI Studio

  • In-depth navigation of the Azure OpenAI Studio dashboard
  • Methods for deploying and administering Large Language Models (LLMs)

Embedding AI Models in Applications

  • Leveraging the Playground feature for iterative model testing
  • Retrieving and executing models using Postman and Python API integrations
  • Overview of ChatGPT capabilities and foundational Prompt Engineering strategies

Advanced AI Methodologies

  • Optimizing AI models through fine-tuning for specialized objectives
  • Creating visual content using the DALL-E studio interface
  • Implementing and managing text embeddings for semantic search
  • Refining Prompt Engineering skills for superior model performance

Synthesizing AI Model Types

  • Building robust applications by merging text, image, and audio models
  • Converting and generating text from audio inputs using Whisper AI

Enhancing AI Security and Performance

  • Applying robust security protocols to AI-driven chatbot systems
  • Deploying content filters to safeguard data accuracy and integrity

Capstone: Building AI-Driven Solutions

  • Architecting a web application powered by Azure OpenAI models
  • Integrating multiple AI features into a unified, functional system

Requirements

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

Target Audience

  • Professional AI developers
  • Tech enthusiasts exploring AI
 14 Hours

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories