Multi-Model Implementation In Generative AI

SKU: M2188
4 Lesson
|
3 Hours
Multi-model implementation in Generative AI refers to combining different AI models together to process, analyze and generate more accurate and diverse outputs such as text, images, audio, or code.
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Multi-Model Implementation In Generative AI

Overview

Prerequisite

What will you learn

  • Multi-Model Systems in Generative AI
  • Integrating Multiple AI Models
  • Orchestrating Multi-Model Workflows
  • Developing Multi-Model AI Applications

Key Features

Course Curriculum

1. Overview of Multi-Model Architectures in Generative AI
2. Comparing Text, Image, and Multimodal Foundation Models
3. Use Cases for Multi-Model AI Applications
1. Working with Multiple APIs (OpenAI, Hugging Face, Google AI)
2. Designing Model Pipelines and Workflows
3. Handling Model Inputs, Outputs, and Data Formats
1. Building AI Pipelines with LangChain
2. Combining LLMs with Vision and Speech Models
3. Managing Context and Data Flow Between Models
1. Building End-to-End Multi-Model Applications
2. Performance Optimization and Cost Management
3. Monitoring and Evaluating Multi-Model AI Systems
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Course Fees

Online Class Room Program

US $ 199.00
100% Money Back Guarantee
  • Duration : 3 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 29 May 2026
  • Weekday Batch 01 Jun 2026
  • Weekend Batch 30 May 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support
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