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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
Testimonials (2)
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt